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                    [EMAIL] => Heidi.Renninger@msstate.edu
                    [DISCIPLINE] => Forestry
                    [STAFF_TITLE] => Associate Professor
                    [ROOMNUM] => Thompson Hall, Rm 313
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                            [NAME] => Forest and Wildlife Research Center
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                    [BIO] => My research interests are in Forest Ecophysiology and I seek to better understand the environmental drivers of tree functioning and how changes in the environment or disturbances will impact future tree growth, productivity and water use.  I have done research in upland pine forests and bottomland hardwood forests as well as short rotation biomass plantations including eastern cottonwood, hybrid poplar, willow and sycamore systems.  I regularly collaborate with other researchers to link physiological tree functioning to hydrology and biogeochemical cycling in forest systems and better understand how growth, water use and ecosystem service provision will be impacted by environmental change and/or changes in species composition in the future.
                    [TEACHING_INTERESTS] => Tree Physiology
Forest Ecophysiology
                    [RESEARCH_INTERESTS] => Environmental controls on physiological plant function
Structure/function relationships in plants
Tree and forest water use
Short rotation bioenergy crops
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                    [KEYWORDS] => Environmental controls on physiological plant function; Structure/function relationships in plants; Tree and forest water use; Short rotation bioenergy crops
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                            [STATUS] => Published
                            [TITLE] => Leaf area index across eastern cottonwood and hybrid poplars and its relationship with productivity and water use efficiency under coppicing and noncoppicing management in the southeastern United States
                            [TITLE_SECONDARY] => Proceedings of the 22nd Biennial Southern Silvicultural Research Conference
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                            [DOI] => 10.2737/srs-gtr-274-pap17
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                            [TITLE] => Leaf-level physiological strategies related to productivity and plasticity of Populus in the Southeastern United States
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                                            [FNAME] => Justin
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                            [PUBLISHER] => Frontiers in Forests and Global Change
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                            [VOLUME] => 7
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                            [DOI] => 10.3389/ffgc.2024.1467381
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                            [ABSTRACT] => IntroductionPopulus and its hybrids are attractive bioenergy crops and the southeastern United States has broad ability to supply bioenergy markets with woody biomass. Breeding and hybridization have led to superior eastern cottonwood (Populus deltoides W. Bartram ex Marshall) and hybrid poplars adapted to a wide variety of site types not suited for agricultural production. In order to maximize productivity and minimize inputs, genotypes need to efficiently use available site resources and tolerate environmental stresses. In addition, we need to determine plasticity of traits and their coordination across sites to select traits that will broadly characterize genotypes. Therefore, our study objectives were to determine (1) which leaf traits were correlated with growth, (2) if traits and genotypes exhibited significant plasticity across sites, and (3) how traits were coordinated within and across sites and Populus taxa.MethodsWe measured trees at two sites in northeastern Mississippi, United States: one upland and one alluvial terrace site. Genotypes included eastern cottonwoods as well as F1 crosses of eastern cottonwood and P. maximowiczii (Henry), P. nigra (L.) and P. trichocarpa (Torr. & Gray).ResultsWe found that sites differed in which leaf traits were correlated with productivity; with water use efficiency specifically being positively correlated with growth at an alluvial terrace site, but negatively correlated with growth at an upland site. Tree height growth, leaf isotope composition (δ13C and δ15N), as well as leaf mass per area (LMA) exhibited the least plasticity across sites, while physiological gas exchange parameters and leaf nitrogen concentration exhibited the highest plasticity. Broadly across taxa, leaf carbon isotope ratios were correlated with intrinsic water use efficiency, and stomatal conductance was positively correlated with photosynthetic nitrogen use efficiency across sites, while leaf nitrogen isotope ratios exhibited contrasting relationships with leaf nitrogen concentration.DiscussionOverall, these results allow us to refine selections of productive genotypes based on site conditions and site-specific relationships with physiological parameters to better match Populus taxa with sites and landowner objectives.
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                            [STATUS] => Submitted
                            [TITLE] => Elevated CO2 sensitizes Populus response to rising temperatures
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                            [TITLE] => Measuring stomatal and guard cell metrics for plant physiology and growth using StoManager1
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                            [VOLUME] => 195
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                            [DOI] => 10.1093/plphys/kiae049
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                            [ABSTRACT] => Abstract Automated guard cell detection and measurement are vital for understanding plant physiological performance and ecological functioning in global water and carbon cycles. Most current methods for measuring guard cells and stomata are laborious, time-consuming, prone to bias, and limited in scale. We developed StoManager1, a high-throughput tool utilizing geometrical, mathematical algorithms, and convolutional neural networks to automatically detect, count, and measure over 30 guard cell and stomatal metrics, including guard cell and stomatal area, length, width, stomatal aperture area/guard cell area, orientation, stomatal evenness, divergence, and aggregation index. Combined with leaf functional traits, some of these StoManager1-measured guard cell and stomatal metrics explained 90% and 82% of tree biomass and intrinsic water use efficiency (iWUE) variances in hardwoods, making them substantial factors in leaf physiology and tree growth. StoManager1 demonstrated exceptional precision and recall (mAP@0.5 over 0.96), effectively capturing diverse stomatal properties across over 100 species. StoManager1 facilitates the automation of measuring leaf stomatal and guard cells, enabling broader exploration of stomatal control in plant growth and adaptation to environmental stress and climate change. This has implications for global gross primary productivity (GPP) modeling and estimation, as integrating stomatal metrics can enhance predictions of plant growth and resource usage worldwide. Easily accessible open-source code and standalone Windows executable applications are available on a GitHub repository (https://github.com/JiaxinWang123/StoManager1) and Zenodo (https://doi.org/10.5281/zenodo.7686022).
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                            [TITLE] => Labeled temperate hardwood tree stomatal image datasets from seven taxa of Populus and 17 hardwood species
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                            [DOI] => 10.1038/s41597-023-02657-3
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                            [ABSTRACT] => AbstractMachine learning (ML) algorithms have shown potential in automatically detecting and measuring stomata. However, ML algorithms require substantial data to efficiently train and optimize models, but their potential is restricted by the limited availability and quality of stomatal images. To overcome this obstacle, we have compiled a collection of around 11,000 unique images of temperate broadleaf angiosperm tree leaf stomata from various projects conducted between 2015 and 2022. The dataset includes over 7,000 images of 17 commonly encountered hardwood species, such as oak, maple, ash, elm, and hickory, and over 3,000 images of 55 genotypes from seven Populus taxa. Inner_guard_cell_walls and whole_stomata (stomatal aperture and guard cells) were labeled and had a corresponding YOLO label file that can be converted into other annotation formats. With the use of our dataset, users can (1) employ state-of-the-art machine learning models to identify, count, and quantify leaf stomata; (2) explore the diverse range of stomatal characteristics across different types of hardwood trees; and (3) develop new indices for measuring stomata.
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                            [DTM_PUB] => January (1st Quarter/Winter)
                            [DTD_PUB] => 2
                            [DTY_PUB] => 2024
                            [PUB_START] => 2024-01-02
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                            [CONTYPE] => Journal Article
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                            [EXTRELATED] => No
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                            [STATUS] => Published
                            [TITLE] => Using LiDAR Data to Estimate Biomass in Afforested Bottomland Oak Sites in the Southern United States
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                                )

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                                                    [id] => 228128000001
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                                            [FACULTY_NAME] => 1790291
                                            [FNAME] => Heidi
                                            [MNAME] => J.
                                            [LNAME] => Renninger
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
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                                                    [id] => 228128000002
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                                                (
                                                )

                                            [FNAME] => Brent
                                            [MNAME] => R
                                            [LNAME] => Frey
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
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                                                (
                                                )

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                                                (
                                                )

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                                                (
                                                    [id] => 228128000003
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                                                (
                                                )

                                            [FNAME] => Madelyn
                                            [MNAME] => P
                                            [LNAME] => Anderson
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [3] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 228128000004
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                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => David
                                            [MNAME] => L
                                            [LNAME] => Evans
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                )

                            [PUBLISHER] => Forest Science
                            [PUBCTYST] => Array
                                (
                                )

                            [PUBCNTRY] => Array
                                (
                                )

                            [VOLUME] => 69
                            [ISSUE] => 5
                            [PAGENUM] => 551-562
                            [DOI] => 10.1093/forsci/fxad028
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                                (
                                )

                            [CRIS_NUM] => Array
                                (
                                )

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                            [WEB_ADDRESS] => https://doi.org/10.1093/forsci/fxad028
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                                (
                                )

                            [ISBNISSN] => 0015-749X
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                                (
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                                (
                                )

                            [REFEREED] => Yes
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                                (
                                )

                            [ABSTRACT] => Abstract The extent of bottomland hardwood forests in the Lower Mississippi Alluvial Valley (LMAV) has diminished, and federal programs like the Conservation Reserve Program provide incentives to afforest marginal agricultural areas with oaks to provide ecosystem services. Remote sensing technologies, like light detection and ranging (LiDAR), can be used to estimate biomass of these stands to potentially allow landowners to take advantage of carbon markets, but data are expensive to collect. Therefore, we determined whether freely available low-density LiDAR data could capture variability in tree- and stand-level characteristics in the LMAV, including aboveground biomass. We found that multiple regression LiDAR models captured more variability in tree-level than stand-level parameters and including soil type generally improved models. Model r2 values predicting tree and stand parameters including tree height, height to the live crown, quadratic mean diameter, crown area, trees per hectare, stand basal area, and stand biomass ranged from 0.34 to 0.82 and root mean square percent error (RMSPE) ranged from 7% to 36%. Specifically, models for stand biomass had an RMSE of about 19 Mg/ha or about 19% of mean values across sites. Therefore, freely available LiDAR data was useful in evaluating afforested bottomland oak sites for tree- and stand-level structural components in the LMAV.
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                            [DTM_SUB] => December
                            [DTD_SUB] => 6
                            [DTY_SUB] => 2021
                            [SUB_START] => 2021-12-06
                            [SUB_END] => 2021-12-06
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                            [DTD_ACC] => 4
                            [DTY_ACC] => 2023
                            [ACC_START] => 2023-03-04
                            [ACC_END] => 2023-03-04
                            [DTM_PUB] => October (4th Quarter/Autumn)
                            [DTD_PUB] => 3
                            [DTY_PUB] => 2023
                            [PUB_START] => 2023-10-03
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                                    [id] => 239562913792
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                            [CONTYPE] => Journal Article
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                            [STATUS] => Published
                            [TITLE] => Comparisons of biomass, water use efficiency and water use strategies across five genomic groups ofPopulusand its hybrids
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                                (
                                )

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                                                (
                                                    [id] => 239562913793
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                                            [FACULTY_NAME] => 1790291
                                            [FNAME] => Heidi
                                            [MNAME] => J.
                                            [LNAME] => Renninger
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

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                                                (
                                                )

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                                                (
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                                    [1] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 239562913794
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                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => Justin
                                            [MNAME] => J.
                                            [LNAME] => Pitts
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [2] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 239562913795
                                                )

                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => Randall
                                            [MNAME] => J.
                                            [LNAME] => Rousseau
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                )

                            [PUBLISHER] => GCB Bioenergy
                            [PUBCTYST] => Array
                                (
                                )

                            [PUBCNTRY] => Array
                                (
                                )

                            [VOLUME] => 15
                            [ISSUE] => 1
                            [PAGENUM] => 99-112
                            [DOI] => 10.1111/gcbb.13014
                            [CRIS_NUM_CAT] => Array
                                (
                                )

                            [CRIS_NUM] => Array
                                (
                                )

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                                (
                                )

                            [WEB_ADDRESS] => https://doi.org/10.1111/gcbb.13014
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                                (
                                )

                            [ISBNISSN] => 1757-1693
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                                (
                                )

                            [AUDIENCE] => Array
                                (
                                )

                            [REFEREED] => Yes
                            [PUBLICAVAIL] => Yes
                            [ABSTRACT] => AbstractGenetic improvement and hybridization in thePopulusgenus have led to the development of genotypes exhibiting fast growth, high rooting ability and disease resistance. However, while large biomass production is important for bioenergy crops, efficient use of resources including water is also important in sites lacking irrigation and for maintaining ecosystem water availability. In addition, comparison of water use strategies across a range of growth rates and genetic variability can elucidate whether certain strategies are shared among the fastest growing and/or most water use efficient genotypes. We estimated tree water use throughout the second growing season via sapflow sensors of 48 genotypes from fivePopulustaxa;P. deltoidesW. Bartram ex Marshall × P. deltoides(D × D),P. deltoides × P. maximowicziiA. Henry (D × M),P. deltoides × P. nigraL. (D × N),P. deltoides × P. trichocarpaTorr. & Gray (D × T) andP. trichocarpa × P. deltoides(T × D) and calculated average canopy stomatal conductance (GS). We regressedGSand atmospheric vapor pressure deficit (VPD) wherein the slope of the relationship represents stomatal sensitivity to VPD. At the end of the second growing season, trees were harvested, and their dry woody biomass was used to calculate whole tree water use efficiency (WUET). We found that D × D and D × M genotypes exhibited differing water use strategies with D × D genotypes exhibiting high stomatal sensitivity while retaining leaves while D × M genotypes lost leaf area throughout the growing season but exhibited low stomatal sensitivity. Across measured taxa, biomass growth was positively correlated with WUET, and genotypes representing each measured taxa except D × N and T × D had high 2‐year dry biomass of above 6 kg/tree. Overall, these data can be used to selectPopulusgenotypes that combine high biomass growth with stomatal sensitivity and WUETto limit the negative impacts of bioenergy plantations on ecosystem water resources.
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                            [DTM_SUB] => August
                            [DTD_SUB] => 10
                            [DTY_SUB] => 2022
                            [SUB_START] => 2022-08-10
                            [SUB_END] => 2022-08-10
                            [DTM_ACC] => November
                            [DTD_ACC] => Array
                                (
                                )

                            [DTY_ACC] => 2022
                            [ACC_START] => 2022-11-01
                            [ACC_END] => 2022-11-30
                            [DTM_PUB] => January (1st Quarter/Winter)
                            [DTD_PUB] => Array
                                (
                                )

                            [DTY_PUB] => 2023
                            [PUB_START] => 2023-01-01
                            [PUB_END] => 2023-01-31
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                                (
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                            [USER_REFERENCE_CREATOR] => Yes
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                    [13] => Array
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                                    [id] => 256954372096
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                            [CONTYPE] => Journal Article
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                                (
                                )

                            [EXTRELATED] => No
                            [PRESENT] => No
                            [INTERNATIONAL] => Array
                                (
                                )

                            [STATUS] => Published
                            [TITLE] => Xerophytic hardwood retention promotes competition over facilitation in longleaf pine woodlands in the absence of fire
                            [TITLE_SECONDARY] => Array
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                                )

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                                                (
                                                )

                                            [FNAME] => John
                                            [MNAME] => L
                                            [LNAME] => Willis
                                            [INSTITUTION] => Forest Service
                                            [ROLE] => Author
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                                                (
                                                )

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                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [1] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 256954372097
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                                            [FACULTY_NAME] => 1790291
                                            [FNAME] => Heidi
                                            [MNAME] => J.
                                            [LNAME] => Renninger
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Array
                                                (
                                                )

                                            [MSU_ID] => Array
                                                (
                                                )

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                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [2] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 256954372099
                                                )

                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => David
                                            [MNAME] => K
                                            [LNAME] => Schnake
                                            [INSTITUTION] => Forest Service
                                            [ROLE] => Array
                                                (
                                                )

                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Graduate
                                        )

                                    [3] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 256954372100
                                                )

                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => Heather
                                            [MNAME] => D
                                            [LNAME] => Alexander
                                            [INSTITUTION] => Auburn University
                                            [ROLE] => Array
                                                (
                                                )

                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                )

                            [PUBLISHER] => Forest Ecology and Management
                            [PUBCTYST] => Array
                                (
                                )

                            [PUBCNTRY] => Array
                                (
                                )

                            [VOLUME] => 531
                            [ISSUE] => Array
                                (
                                )

                            [PAGENUM] => Array
                                (
                                )

                            [DOI] => DOI: 10.1016/j.foreco.2023.120792.
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                                (
                                )

                            [CRIS_NUM] => Array
                                (
                                )

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                                (
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                                (
                                )

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                                (
                                )

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                                (
                                )

                            [REFEREED] => Yes
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                                )

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                                )

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                                (
                                )

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                                )

                            [DTD_ACC] => Array
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                                (
                                )

                            [DTM_PUB] => January (1st Quarter/Winter)
                            [DTD_PUB] => 12
                            [DTY_PUB] => 2023
                            [PUB_START] => 2023-01-12
                            [PUB_END] => 2023-01-12
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                                )

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                            [USER_REFERENCE_CREATOR] => Yes
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                    [14] => Array
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                                (
                                    [id] => 319187798016
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                            [CONTYPE] => Journal Article
                            [CONTYPEOTHER] => Array
                                (
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                                )

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                                (
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                            [INTERNATIONAL] => Array
                                (
                                )

                            [STATUS] => Published
                            [TITLE] => Aboveground biomass equations for black willow (Salix nigra Marsh.) and eastern cottonwood (Populus deltoides Bartr. ex Marsh.)
                            [TITLE_SECONDARY] => Array
                                (
                                )

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                                                (
                                                )

                                            [FNAME] => Bini
                                            [MNAME] => Array
                                                (
                                                )

                                            [LNAME] => Dahal
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

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                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [1] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 319187798018
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                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => Krishna
                                            [MNAME] => P.
                                            [LNAME] => Poudel
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [2] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 319187798019
                                                )

                                            [FACULTY_NAME] => 1790291
                                            [FNAME] => Heidi
                                            [MNAME] => J.
                                            [LNAME] => Renninger
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [3] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 319187798020
                                                )

                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => Joshua
                                            [MNAME] => J.
                                            [LNAME] => Granger
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [4] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 319187798021
                                                )

                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => Theodor
                                            [MNAME] => D.
                                            [LNAME] => Leininger
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [5] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 319187798022
                                                )

                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => Emile
                                            [MNAME] => S.
                                            [LNAME] => Gardiner
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
                                                (
                                                )

                                            [DEP] => Array
                                                (
                                                )

                                            [STUDENT_LEVEL] => Array
                                                (
                                                )

                                        )

                                    [6] => Array
                                        (
                                            [@attributes] => Array
                                                (
                                                    [id] => 319187798023
                                                )

                                            [FACULTY_NAME] => Array
                                                (
                                                )

                                            [FNAME] => Ray
                                            [MNAME] => A.
                                            [LNAME] => Souter
                                            [INSTITUTION] => Array
                                                (
                                                )

                                            [ROLE] => Author
                                            [MSU_ID] => Array
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                            [ABSTRACT] => Eastern cottonwood (Populus deltoidesW. Bartram ex Marshall) and hybrid poplars are well-known bioenergy crops. With advances in tree breeding, it is increasingly necessary to find economical ways to identify high-performingPopulusgenotypes that can be planted under different environmental conditions. Photosynthesis and leaf nitrogen content are critical parameters for plant growth, however, measuring them is an expensive and time-consuming process. Instead, these parameters can be quickly estimated from hyperspectral leaf reflectance if robust statistical models can be developed. To this end, we measured photosynthetic capacity parameters (Rubisco-limited carboxylation rate (Vcmax), electron transport-limited carboxylation rate (Jmax), and triose phosphate utilization-limited carboxylation rate (TPU)), nitrogen per unit leaf area (Narea), and leaf reflectance of seven taxa and 62 genotypes ofPopulusfrom two study plantations in Mississippi. For statistical modeling, we used least absolute shrinkage and selection operator (LASSO) and principal component analysis (PCA). Our results showed that the predictive ability of LASSO and PCA models was comparable, except forNareain which LASSO was superior. In terms of model interpretability, LASSO outperformed PCA because the LASSO models needed 2 to 4 spectral reflectance wavelengths to estimate parameters. The LASSO models used reflectance values at 758 and 935 nm for estimatingVcmax(R2= 0.51 and RMSPE = 31%) andJmax(R2= 0.54 and RMSPE = 32%); 687, 746, and 757 nm for estimating TPU (R2= 0.56 and RMSPE = 31%); and 304, 712, 921, and 1021 nm for estimatingNarea(R2= 0.29 and RMSPE = 21%). The PCA model also identified 935 nm as a significant wavelength for estimatingVcmaxandJmax. Therefore, our results suggest that hyperspectral leaf reflectance modeling can be used as a cost-effective means for field phenotyping and rapid screening ofPopulusgenotypes because of its capacity to estimate these physicochemical parameters.
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                            [STATUS] => Published
                            [TITLE] => Aboveground biomass equations for black willow (Salix nigra Marsh.) and eastern cottonwood (Populus deltoides Bartr. ex Marsh.)
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                            [ABSTRACT] => AbstractPyrophytic oak landscapes across the central and eastern United States are losing dominance as shade-tolerant, fire-sensitive, or opportunistic tree species encroach into these ecosystems in the absence of periodic, low-intensity surface fires. Mesophication, a hypothesized process initiated by intentional fire exclusion by which these encroaching species progressively create conditions favorable for their own persistence at the expense of pyrophytic species, is commonly cited as causing this structural and compositional transition. However, many questions remain regarding mesophication and its role in declining oak dominance. In the present article, we review support and key knowledge gaps for the mesophication hypothesis. We then pose avenues for future research that consider which tree species and tree traits create self-perpetuating conditions and under what conditions tree-level processes might affect forest flammability at broader scales. Our goal is to promote research that can better inform restoration and conservation of oak ecosystems experiencing structural and compositional shifts across the region.
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                            [STATUS] => Published
                            [TITLE] => A STELLA-based model to simultaneously predict hydrological processes, N uptake and biomass production in a eucalyptus plantation
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                                            [FNAME] => Ying
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                                            [LNAME] => Ouyang
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                            [PUBLISHER] => Forests
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                            [VOLUME] => 12
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                            [DOI] => 10.3390/f12050515
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                            [STATUS] => Published
                            [TITLE] => Leaf traits indicative of drought resistance in hybrid poplar
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                            [PUBLISHER] => Agricultural Water Management
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                            [VOLUME] => 246
                            [ISSUE] => 106676
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                            [DOI] => https://doi.org/10.1016/j.agwat.2020.106676
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                            [ABSTRACT] => Intensively managed poplar plantations (Populus spp. and their hybrids) have thepotential to provide large quantities of renewable biomass for bioenergy. Identifyingclonal varieties that are productive on water-limited, marginal agricultural landunsuitable for food production with low land costs is key to realizing that potential.Carbon isotope discrimination (Δ13C) is the current method of choice for selectingvarieties able to maintain higher levels of production under moderate drought stress(drought resistance). However, other physiological and morphological traits may beeffective as selection criteria for drought stress and cost less to collect and analyze.The objective of this study was to test the efficacy of Δ13C, along with alternativephysiological and morphological traits, in predicting drought resistance of hybrid poplarvarieties. The other traits considered were leaf mass per area (LMA), petiole diameter(PD), petiole length (PL), individual leaf area (LA), adaxial stomatal density (ADAX),abaxial stomatal density (ABAX), minor vein density (MVD) and chlorophyll content(CHLOR). We found that Δ13C was a poor indicator of drought resistance and ABAXwas the only single trait that was a statistically significant predictor of varietalperformance under drought stress. The best indicator of drought stress was acomposite of all nine variables.
                            [KEYWORDS] => drought tolerance; drought resistance; carbon isotope; Δ13C; WUE; bioenergy
                            [FULL_TEXT] => ah3798/intellcont/Resubmission 11_13_20-1.pdf
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                            [EXPLANATION] => Worked with collaborators from the private sector using the private company's germplasm and they benefit from the knowledge. 
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                            [STATUS] => Published
                            [TITLE] => Mesophication of oak landscapes: evidence, knowledge gaps, and future research
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                                            [FACULTY_NAME] => 1827076
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                                            [LNAME] => Brewer
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                                            [INSTITUTION] => University of Florida
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                                            [LNAME] => McDaniel
                                            [INSTITUTION] => University of Georgia
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                                            [LNAME] => Paulson
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                                            [FNAME] => J.
                                            [MNAME] => Morgan
                                            [LNAME] => Varner
                                            [INSTITUTION] => Tall Timbers
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                            [PUBLISHER] => BioScience
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                            [VOLUME] => 71
                            [ISSUE] => 5
                            [PAGENUM] => 531-542
                            [DOI] => https://doi.org/10.1093/biosci/biaa169
                            [CRIS_NUM_CAT] => MISZ
                            [CRIS_NUM] => 069390
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                            [TITLE] => Early impacts of midstory hardwoods and overstory density on longleaf pine seedlings establishment on xeric sites
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                            [TITLE] => Diversity or Redundancy in Leaf Physiological and Anatomical Parameters in a Species Diverse, Bottomland Hardwood Forest?
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                                            [FNAME] => Justin
                                            [MNAME] => N.
                                            [LNAME] => Yow
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                                            [FNAME] => Heidi
                                            [MNAME] => J.
                                            [LNAME] => Renninger
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                            [PUBLISHER] => Forests
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                            [VOLUME] => 11
                            [ISSUE] => 5
                            [PAGENUM] => 519
                            [DOI] => 10.3390/f11050519
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                            [ABSTRACT] => Research Highlights: Bottomland hardwood forests exhibit seasonal flooding, are species diverse, and provide numerous ecosystem services including floodwater storage, wildlife habitat and nutrient mitigation. However, data are needed to adequately predict the potential of individual species to achieve these services. Background and Objectives: In bottomland hardwood forests, increasing tree species richness may increase functional diversity unless species exhibit an overlap in physiological functioning. Therefore, the objectives of this study were to (1) compare physiological and anatomical leaf parameters across species, (2) determine if leaf anatomical and nutrient properties were correlated with physiological functioning, (3) determine intra-species variability in leaf stomatal properties and determine how whole crown metrics compare with leaves measured for gas exchange and (4) measure soil nitrogen for evidence of denitrification during inundation periods. Materials and Methods: We measured gas exchange, leaf nutrients and anatomical properties in eight bottomland hardwood species including Carya ovata, Fraxinus pennsylvanica, Quercus michauxii, Quercus nigra, Quercus pagoda, Quercus phellos, Ulmus alata and Ulmus americana. Additionally, we quantified soil ammonium and nitrate content during winter inundated conditions to compare with non-inundation periods. Results: We found that leaf-level water use parameters displayed greater variability and diversity across species than photosynthesis and leaf nitrogen parameters, but green ash and shagbark hickory exhibited generally high leaf N concentrations and similar physiological functioning. Elms and oaks displayed larger variability in leaf physiological functioning. Stomatal density was significantly correlated with photosynthetic capacity and tree-level water use and exhibited high intra-species variability. Conclusions: This bottomland hardwood forest contains more diversity in terms of water use strategies compared with nitrogen uptake, suggesting that differences in species composition will affect the hydrology of the system. Green ash and shagbark hickory exhibit higher leaf nitrogen concentrations and potential for nutrient mitigation. Finally, leaf anatomical parameters show some promise in terms of correlating with leaf physiological parameters across species.
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                            [STATUS] => Published
                            [TITLE] => Seasonal physiology and growth of planted oaks with implications for bottomland hardwood restoration
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                            [VOLUME] => 51
                            [ISSUE] => 2
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                            [DOI] => 10.1007/s11056-019-09730-z
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                            [ISBNISSN] => 0169-4286
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                            [STATUS] => Published
                            [TITLE] => Changes in physiological functioning in loblolly pine trees undergoing bark beetle simulated mortality
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                            [VOLUME] => 65
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                            [PAGENUM] => 312-323
                            [DOI] => 10.1093/forsci/fxy060
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                            [ABSTRACT] => AbstractThe southeastern United States contains extensive loblolly pine (Pinus taeda L.) plantations at risk from bark beetle damage that can change ecosystem biogeochemical cycling. Functional changes in tree physiology have the potential to occur before visual evidence of mortality making them difficult to incorporate into ecosystem models. Therefore, we girdled loblolly pines to simulate bark beetle damage and measured physiological processes including sapflow rates, photosynthesis, litterfall, and needle nitrogen concentrations to determine the physiological changes occurring in trees undergoing mortality. We found that the girdling treatment took 5 months to significantly reduce sapflow rates but visual crown mortality occurred more than one year after girdling. Girdled pines had approximately 2.5 times lower water use than control pines and exhibited greater susceptibility to atmospheric water stress. Girdled and control pines had similar needle nitrogen concentrations and photosynthetic rates measured during the mortality year. However, more litterfall with higher nitrogen concentrations occurred in the mortality year than in the previous year, resulting in redistribution of carbon and nitrogen in the ecosystem. Overall, these data allow for better quantification of the effects of background disturbance levels and individual tree mortality on water, carbon, and nitrogen cycling within a loblolly pine ecosystem.
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                            [TITLE] => Physiological response of mid-canopy sweetgum trees to overstory loblolly pine mortality
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                            [VOLUME] => 33
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                            [DOI] => 10.1007/s00468-018-1764-2
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                            [TITLE] => Biogeochemical hotspots around bark beetle-killed trees: carbon sinks or carbon sources?
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                                            [MNAME] => T
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                            [PUBLISHER] => Proceedings of the 19th Biennial Southern Silvicultural Research Conference
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                            [TITLE] => Seasonal physiology and growth of bottomland oaks of differing planting stocks in afforestation sites on the U.S. Gulf Coastal Plain
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                                            [FNAME] => Nicole
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                                            [LNAME] => Hornslein
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                                            [FNAME] => Andrew
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                                            [LNAME] => Ezell
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                            [PUBLISHER] => Restoration Ecology
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                            [VOLUME] => 26
                            [ISSUE] => 4
                            [PAGENUM] => 702-711
                            [DOI] => 10.1111/rec.12621
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                            [WEB_ADDRESS] => https://doi.org/10.1111/rec.12621
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                            [ABSTRACT] => Hurricane Katrina caused large losses of bottomland hardwood forests on the Gulf Coastal Plain. Heavy‐seeded species such as oaks (Quercus) generally require direct planting for restoration after such losses. However, evaluating the performance of various oak planting stocks using biometric data alone can be challenging due to their slow juvenile growth and belowground carbon allocation. Our study goals were to evaluate physiological parameters including photosynthesis, stomatal conductance, and water‐use efficiency (WUE) and their correlation with annual height growth to determine differences in functional performance and drought tolerance between seedling types and whether physiology can predict height growth. Monthly growing season gas exchange measurements were made on two oak species (QuercustexanaandQuercusshumardii) and three planting stocks (bare root, conventional containerized, large containerized [LC]) planted on two sites in coastal Mississippi. We found that photosynthesis decreased throughout the growing season while stomatal conductances increased leading to decreasing WUEs in all seedling types. Physiological parameters differed across planting stocks but not species. Particularly, LC seedlings exhibited greater WUEs and sensitivity to vapor pressure deficit (VPD) suggesting increased moisture stress compared with other planting stocks. Across seedling types, photosynthesis, stomatal sensitivity to VPD, and seasonal changes in intrinsic WUE measured in year one of the study were significantly correlated with year two, but not year one height growth, suggesting belowground allocation of carbon during the first growing season. In total, these results highlight the use of physiological measurements in selecting successful planting stocks for various site conditions.
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                            [TITLE] => Decadal-scale reduction in forest net ecosystem production following insect defoliation contrasts with short-term impacts of prescribed fires
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                                            [FNAME] => Nicholas 
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                                            [LNAME] => Skowronski
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                                            [LNAME] => Schafer
                                            [INSTITUTION] => Rutgers University
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                            [PUBLISHER] => Forests
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                            [VOLUME] => 9
                            [ISSUE] => 145
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                            [DOI] => 10.3390/f9030145
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                            [CONTYPE] => Conference Proceeding
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                            [EXTRELATED] => No
                            [STATUS] => Accepted
                            [TITLE] => First-year average seasonal photosynthesis as a predictor of two-year growth in two species of oak seedlings
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                                            [MNAME] => J.
                                            [LNAME] => Renninger
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                                            [FNAME] => John
                                            [MNAME] => D
                                            [LNAME] => Hodges
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                            [PUBLISHER] => Proceedings of the 19th Biennial Southern Silvicultural Research Conference
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                            [STATUS] => Published
                            [TITLE] => Impacts of prescribed fire onPinus rigidaMill. in upland forests of the Atlantic Coastal Plain
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                            [PUBLISHER] => Tree Physiology
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                            [VOLUME] => 36
                            [ISSUE] => 8
                            [PAGENUM] => 967-982
                            [DOI] => 10.1093/treephys/tpw044
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                            [WEB_ADDRESS] => https://doi.org/10.1093/treephys/tpw044
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                            [ISBNISSN] => 0829-318X
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                            [STATUS] => Published
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                            [PUBLISHER] => American Journal of Botany
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                            [VOLUME] => 97
                            [ISSUE] => 12
                            [PAGENUM] => 1926-1936
                            [DOI] => 10.3732/ajb.1000015
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                            [WEB_ADDRESS] => https://doi.org/10.3732/ajb.1000015
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                            [ABSTRACT] => • Premise of the study: This study seeks to determine how hydraulic factors vary with ontogeny and whether they begin to limit further height growth in palms. Palms are an attractive group for physiological research because their columnar trunks and simple leaf habit allow key intrinsic and extrinsic hydraulic variables to be estimated more easily than in complex arborescent dicotyledons.• Methods: We measured various biometric and physiological factors including sap flux, leaf areas, turnover rates, and internode lengths in two Amazonian rainforest species: terra firme Iriartea deltoidea and swamp‐adapted Mauritia flexuosa. These two palm species differ markedly in edaphic conditions, leaf type (pinnately compound vs. palmate), and bole development, making physiological comparisons between them important as well.• Key results: The species exhibited differing patterns in height growth rate along boles, which appear to relate to their differences in bole development. Growth rates ultimately slowed at the tops of tall palms in both species. We also found a high degree of convergence in total leaf area with height in both species even though they exhibited contrasting patterns in both live frond number and leaf area per frond with height. Sap flux density from leaves was constant with height but four times greater in M. flexuosa than in I. deltoidea.• Conclusions: Although height growth rates slow considerably in tall palms, neither species shows evidence that hydraulic factors become limiting because they are able to support much greater leaf areas with similar sap flux densities as shorter palms.
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                            [DTM_PUB] => December
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                            [STATUS] => Published
                            [TITLE] => Wet‐ vs. Dry‐Season Transpiration in an Amazonian Rain Forest Palm Iriartea deltoidea
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                                            [FNAME] => Nathan
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                                            [LNAME] => Phillips
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                                            [FNAME] => Guido
                                            [MNAME] => D.
                                            [LNAME] => Salvucci
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                            [PUBLISHER] => Biotropica
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                            [VOLUME] => 42
                            [ISSUE] => 4
                            [PAGENUM] => 470-478
                            [DOI] => 10.1111/j.1744-7429.2009.00612.x
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                            [WEB_ADDRESS] => https://doi.org/10.1111/j.1744-7429.2009.00612.x
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                            [ABSTRACT] => ABSTRACTThe wet and dry seasons in tropical rain forests can differ in precipitation, soil moisture and irradiance more significantly than often assumed. This could potentially affect the water relations of many tree species that may exhibit either increased transpiration in the dry season as a response to the increased irradiance or decreased transpiration as a result of decreases in soil moisture and increases in atmospheric vapor pressure deficit (VPD). Atmospheric data, soil moisture data and sap fluxes in Iriartea deltoidea palms were measured in eastern Ecuador during the wet and dry seasons. There were no differences between total daily sap fluxes in I. deltoidea palms during the wet and dry seasons; however, evaporative demand was significantly higher in the dry season and therefore, transpiration was more restricted by stomatal closure during the dry season than the wet season. This is likely the result of larger atmospheric VPD during the dry season compared with the wet season and possibly the result of reduced soil moisture availability. Additionally, based on published tree abundances in this area, measured sap fluxes in I. deltoidea were scaled up to the hectare level. Transpiration from I. deltoidea palms was estimated to be around 0.03 mm/d, which could represent about 1 percent of total transpiration in this area of the Amazon rain forest. If climate change predictions for more lengthy tropical dry periods are realized, greater stomatal control of dry‐season sap flux has the potential to become even more prevalent in tropical species.
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                            [DTM_PUB] => July (3rd Quarter/Summer)
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                            [DTY_PUB] => 2010
                            [PUB_START] => 2010-07-01
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                            [STATUS] => Published
                            [TITLE] => Comparative hydraulic and anatomic properties in palm trees (Washingtonia robusta) of varying heights: implications for hydraulic limitation to increased height growth
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                                            [FNAME] => Donald
                                            [MNAME] => R
                                            [LNAME] => Hodel
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                            [PUBLISHER] => Trees
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                            [VOLUME] => 23
                            [ISSUE] => 5
                            [PAGENUM] => 911–921
                            [DOI] => https://doi.org/10.1007/s00468-009-0333-0
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                            [STATUS] => Published
                            [TITLE] => Hydraulic architecture and photosynthetic capacity as constraints on release from suppression in Douglas-fir and western hemlock.
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                                            [FNAME] => F
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                                            [LNAME] => Meinzer
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                            [PUBLISHER] => Tree Physiology
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                            [VOLUME] => 27
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                            [DOI] => https://doi.org/10.1093/treephys/27.1.33
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                            [STATUS] => Published
                            [TITLE] => Effects of release from suppression on wood functional characteristics in young Douglas-fir and western hemlock
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                            [VOLUME] => 36
                            [ISSUE] => 8
                            [PAGENUM] => 2038-2046
                            [DOI] => 10.1139/x06-105
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                            [ABSTRACT] => Little is known of wood properties in trees that were initially suppressed and subsequently released from suppression. The purpose of this study was to assess differences in growth ring width, specific conductivity (Ks), tracheid dimensions, moisture content, and wood density in suppressed Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) and western hemlock (Tsuga heterophylla (Raf.) Sarg.) trees and trees released from suppression averaging 12–18 years of age. Growth ring width was 370% higher for Douglas-fir and 300% higher for western hemlock trees released from suppression, and Ks was 182% higher for Douglas-fir and 42% higher for western hemlock trees released from suppression. Earlywood width was approximately four times greater after release in both species, whereas the relative increase in latewood width was much greater in Douglas-fir. Tracheids were 25% wider and 11% longer in released Douglas-fir trees. In western hemlock, released trees had 19% wider tracheids that were approximately the same length as those in suppressed trees. Moisture content was 66% greater in released Douglas-fir and 41% greater in released western hemlock. Wood density decreased by 21% in Douglas-fir trees and by 11% in western hemlock trees released from suppression. However, wood density of released trees did not differ from average reported values, implying that wood from released trees may be suitable for many of its traditional applications.
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                            [TITLE] => No Correlation between Latewood Formation and Leader Growth in Douglas-Fir Saplings
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                            [ABSTRACT] => The width of earlywood and latewood in conifer xylem may have a profound effect on water transport and storage, vulnerability to embolism, and wood strength, yet the controls over the timing of latewood formation are unclear. Tracheids differentiating in the cambial zone are influenced by IAA, indole-3 acetic acid, the radial concentration gradient of which appears to either increase cell expansion (earlywood) or increase cell wall deposition (latewood). There are suggestive data that latewood begins to form when the growth of the leader stops, but definitive results are lacking. Height growth was measured in 14 Douglas-fir (Pseudotsuga menziesii) saplings at 10 dates between May and August, from the beginning of the growing season until after height growth had ceased. The cambium was also pinned six times between June and July, to induce xylem scarring at known dates. After height growth ceased, saplings were harvested and transverse sections of the wood were made at the pin insertion points. The date at which 95% of the height growth had occurred and the date at which latewood formation had begun were estimated. Analysis showed no correlation of these data, suggesting that the two phenomena may occur around the same time, but that one is not causal of the other.
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Dr. Heidi Renninger | Forestry | College of Forest Resources | Mississippi State University

Dr. Heidi J. Renninger

Dr. Heidi J. Renninger

Title

  • Associate Professor

Contact Information

Heidi.Renninger@msstate.edu
Office: 662-325-0792
Thompson Hall, Rm 313

Overview

Biography

My research interests are in Forest Ecophysiology and I seek to better understand the environmental drivers of tree functioning and how changes in the environment or disturbances will impact future tree growth, productivity and water use. I have done research in upland pine forests and bottomland hardwood forests as well as short rotation biomass plantations including eastern cottonwood, hybrid poplar, willow and sycamore systems. I regularly collaborate with other researchers to link physiological tree functioning to hydrology and biogeochemical cycling in forest systems and better understand how growth, water use and ecosystem service provision will be impacted by environmental change and/or changes in species composition in the future.

Education

  • Boston University , Doctor of Philosophy (Ph.D.), Geography
  • Oregon State University , Master of Science (M.S.), Forest Science
  • Millersville University of Pennsylvania, Bachelor of Science (B.S.), Biology

Research Interests

Environmental controls on physiological plant function
Structure/function relationships in plants
Tree and forest water use
Short rotation bioenergy crops

Teaching Interests

Tree Physiology
Forest Ecophysiology

Website

Publications

Year Publications
2024

Adhikari, S., Ma, Q., Poudel, K., Renninger, H. J. 2024. Aboveground woody biomass estimation of young bioenergy plantations of Populus and its hybrids using mobile (backpack) LiDAR remote sensing. Trees, Forests and People 18:100665.

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2024

Renninger, H. J., Pitts, J. J., Wang, J. 2024. Leaf-level physiological strategies related to productivity and plasticity of Populus in the Southeastern United States. Frontiers in Forests and Global Change 7.

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2024

Renninger, H. J., Kyaw, T., Siegert, C. M., Rousseau, R. J. 2024. Water use efficiency, leaf physiology and productivity of black willow (Salix nigra Marshall) for short rotation bioenergy production in the southern US. Biomass and Bioenergy 183.

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2024

Wang, J., Renninger, H. J., Ma, Q., Jin, S. 2024. Measuring stomatal and guard cell metrics for plant physiology and growth using StoManager1. Plant Physiology 195(1):378-394.

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2024

Wang, J., Renninger, H. J., Ma, Q. 2024. Labeled temperate hardwood tree stomatal image datasets from seven taxa of Populus and 17 hardwood species. Scientific Data 11(1).

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2023

Renninger, H. J., Frey, B. R., Anderson, M. P., Evans, D. L. 2023. Using LiDAR Data to Estimate Biomass in Afforested Bottomland Oak Sites in the Southern United States. Forest Science 69(5):551-562.

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2023

Renninger, H. J., Pitts, J. J., Rousseau, R. J. 2023. Comparisons of biomass, water use efficiency and water use strategies across five genomic groups ofPopulusand its hybrids. GCB Bioenergy 15(1):99-112.

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2023

Willis, J. L., Renninger, H. J., Schnake, D. K., Alexander, H. D. 2023. Xerophytic hardwood retention promotes competition over facilitation in longleaf pine woodlands in the absence of fire. Forest Ecology and Management 531.

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2022

Dahal, B., Poudel, K. P., Renninger, H. J., Granger, J. J., Leininger, T. D., Gardiner, E. S., Souter, R. A., Rousseau, R. J. 2022. Aboveground biomass equations for black willow (Salix nigra Marsh.) and eastern cottonwood (Populus deltoides Bartr. ex Marsh.). Trees, Forests and People 7:100195.

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2022

Kyaw, T., Siegert, C. M., Dash, P., Poudel, K. P., Pitts, J. J., Renninger, H. J. 2022. Using hyperspectral leaf reflectance to estimate photosynthetic capacity and nitrogen content across eastern cottonwood and hybrid poplar taxa. PLOS One 17:e0264780.

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2022

Kyaw, T. Y., Siegert, C. M., Dash, P., Poudel, K. P., Pitts, J. J., Renninger, H. J. 2022. Using hyperspectral leaf reflectance to estimate photosynthetic capacity and nitrogen content across eastern cottonwood and hybrid poplar taxa. PLOS ONE 17(3):e0264780.

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2022

Dahal, B., Poudel, K. P., Renninger, H. J., Granger, J. J., Leininger, T. D., Gardiner, E. S., Souter, R. A., Rousseau, R. J. 2022. Aboveground biomass equations for black willow (Salix nigra Marsh.) and eastern cottonwood (Populus deltoides Bartr. ex Marsh.). Trees, Forests and People 7(100195).

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2022

Renninger, H. J., Stewart, L., Freeman, J., Rousseau, R. J. 2022. Physiological functioning and productivity in eastern cottonwood and hybrid poplars on contrasting sites in the southeastern US. BioEnergy Research

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2021

Renninger, H. J., Stewart, L. F., Rousseau, R. J. 2021. Water use, efficiency, and stomatal sensitivity in eastern cottonwood and hybrid poplar varietals on contrasting sites in the southeastern US. Frontiers in Forests and Global Change 4(704799).

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2021

Kassahun, Z., Renninger, H. J. 2021. Effects of drought on water use of seven tree species from four genera growing in a bottomland hardwood forest. Agricultural and Forest Meteorology 301-302:108353.

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2021

Alexander, H. D., Siegert, C., Brewer, J. S., Kreye, J., Lashley, M. A., McDaniel, J. K., Paulson, A. K., Renninger, H. J., Varner, J. M. 2021. Mesophication of Oak Landscapes: Evidence, Knowledge Gaps, and Future Research. BioScience 71(5):531-542.

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2021

Ouyang, Y., Feng, G., Renninger, H. J., Leininger, T., Parajuli, P. B., Grace, J. 2021. A STELLA-based model to simultaneously predict hydrological processes, N uptake and biomass production in a eucalyptus plantation. Forests 12(15).

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2021

Himes, A., Emerson, P., McClung, R., Renninger, H. J., Rosenstiel, T., Stanton, B. 2021. Leaf traits indicative of drought resistance in hybrid poplar. Agricultural Water Management 246(106676).

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2021

Alexander, H. D., Siegert, C. M., Brewer, S., Kreye, J., Lashley, M. A., McDaniel, J., Paulson, A., Renninger, H. J., Varner, J. M. 2021. Mesophication of oak landscapes: evidence, knowledge gaps, and future research. BioScience 71(5):531-542.

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2021

Ouyang, Y., Leininger, T., Renninger, H. J., Gardiner, E., Samuelson, L. 2021. A model to assess Eastern Cottonwood water flow using adjusted vapor pressure deficit associated with a climate change impact application. Climate 9(2).

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2020

Kassahun, Z., Yow, J. N., Renninger, H. J. 2020. Diversity or Redundancy in Leaf Physiological and Anatomical Parameters in a Species Diverse, Bottomland Hardwood Forest?. Forests 11(5):519.

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2020

Renninger, H. J., Miles, C. H., Ezell, A. W. 2020. Seasonal physiology and growth of planted oaks with implications for bottomland hardwood restoration. New Forests 51(2):191-212.

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2020

Renninger, H. J., Durbin, T., Kassahun, Z., Gentry, A. 2020. Relationships between leaf anatomy and physiological functioning of southern US oak species differing in flood tolerance. Forests 11(1).

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2019

Hornslein, N. J., Siegert, C. M., Renninger, H. J. 2019. Changes in physiological functioning in loblolly pine trees undergoing bark beetle simulated mortality. Forest Science 65(3):312-323.

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2019

Hornslein, N. J., Siegert, C., Renninger, H. J. 2019. Physiological response of mid-canopy sweetgum trees to overstory loblolly pine mortality. Trees 33(1):139-151.

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2018

Renninger, H. J., Hall, A. T., Hornslein, N., Ezell, A. W. 2018. Seasonal physiology and growth of bottomland oaks of differing planting stocks in afforestation sites on the U.S. Gulf Coastal Plain. Restoration Ecology 26(4):702-711.

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2018

Clark, K., Renninger, H. J., Skowronski, N., Gallagher, M., Schafer, K. 2018. Decadal-scale reduction in forest net ecosystem production following insect defoliation contrasts with short-term impacts of prescribed fires. Forests 9(145).

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2016

Carlo, N. J., Renninger, H. J., Clark, K. L., Schäfer, K. V. 2016. Impacts of prescribed fire onPinus rigidaMill. in upland forests of the Atlantic Coastal Plain. Tree Physiology 36(8):967-982.

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2015

Renninger, H. J., Carlo, N. J., Clark, K. L., Schäfer, K. V. 2015. Resource use and efficiency, and stomatal responses to environmental drivers of oak and pine species in an Atlantic Coastal Plain forest. Frontiers in Plant Science 6:297.

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2014

Clark, K. L., Skowronski, N. S., Gallagher, M. R., Renninger, H. J., Schäfer, K. V. 2014. Contrasting effects of invasive insects and fire on ecosystem water use efficiency. Biogeosciences 11:6509-6523.

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2014

Schäfer, K. V., Renninger, H. J., Clark, K. L., Medvigy, D. 2014. Hydrological responses to defoliation and drought of an upland oak/pine forest. Hydrological Processes 28:6113-6123.

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2014

Clark, K. L., Skowronski, N., Renninger, H. J., Scheller, R. 2014. Climate change and fire management in the Mid-Atlantic region. Forest Ecology and Management 327:306-315.

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2014

Schäfer, K. V., Renninger, H. J., Carlo, N. J., Vanderklein, D. W. 2014. Forest response and recovery following disturbance in upland forests of the Atlantic Coastal Plain. Frontiers in Plant Science 5:294.

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2014

Renninger, H. J., Carlo, N., Clark, K. L., Schäfer, K. V. 2014. Modeling respiration from snags and coarse woody debris before and after an invasive gypsy moth disturbance. Journal of Geophysical Research: Biogeosciences 119(4):630-644.

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2014

Renninger, H. J., Carlo, N., Clark, K. L., Schäfer, K. V. 2014. Physiological strategies of co-occurring oaks in a water- and nutrient-limited ecosystem. Tree Physiology 34(2):159-73.

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2013

Thomsen, J. E., Bohrer, G., Matheny, A. M., Ivanov, V. Y., He, L., Renninger, H. J., Schäfer, K. V. 2013. Contrasting Hydraulic Strategies during Dry Soil Conditions in Quercus rubra and Acer rubrum in a Sandy Site in Michigan. Forests 4(4):1106–1120.

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2013

Renninger, H. J., Clark, K. L., Skowronski, N., Schäfer, K. V. 2013. Effects of a prescribed fire on water use and photosynthetic capacity of pitch pines. Trees 27(4):1115-1127.

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2013

Renninger, H. J., Wadhwa, S., Gallagher, F. J., Vanderklein, D., Schäfer, K. V. 2013. Allometry and photosynthetic capacity of poplar (Populus deltoides) along a metal contamination gradient in an urban brownfield. Urban Ecosystems 16(2):247-263.

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2013

Renninger, H. J., Phillips, N. 2013. Secondary stem lengthening in palms: response to commentary by Tomlinson and Quinn. American Journal of Botany 100(3):465-466.

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2013

Renninger, H. J., McCulloh, K. A., Phillips, N. 2013. A comparison of the hydraulic efficiency of a palm species (Iriartea deltoidea) with other wood types. Tree Physiology 33(2):152-60.

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2012

Clark, K. L., Skowronski, N., Gallagher, M., Renninger, H. J., Schäfer, K. 2012. Effects of invasive insects and fire on forest energy exchange and evapotranspiration in the New Jersey pinelands. Agricultural and Forest Meteorology 166:50–61.

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2012

Renninger, H. J., Schäfer, K. V. 2012. Comparison of Tissue Heat Balance- and Thermal Dissipation-Derived Sap Flow Measurements in Ring-Porous Oaks and a Pine. Frontiers in Plant Science 3:103.

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2012

Renninger, H. J., Phillips, N. 2012. "Secondary stem lengthening" in the palm Iriartea deltoidea (Arecaceae) provides an efficient and novel method for height growth in a tree form. American journal of botany 99(4):607-613.

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2011

Renninger, H. J., Phillips, N. 2011. Hydraulic properties of fronds from palms of varying height and habitat. Oecologia 167(4):925-35.

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2010

Renninger, H. J., Phillips, N. 2010. Intrinsic and extrinsic hydraulic factors in varying sizes of two Amazonian palm species (Iriartea deltoidea and Mauritia flexuosa) differing in development and growing environment. American Journal of Botany 97(12):1926-1936.

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2010

Renninger, H. J., Phillips, N., Salvucci, G. D. 2010. Wet‐ vs. Dry‐Season Transpiration in an Amazonian Rain Forest Palm Iriartea deltoidea. Biotropica 42(4):470-478.

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2009

Renninger, H. J., Phillips, N., Hodel, D. R. 2009. Comparative hydraulic and anatomic properties in palm trees (Washingtonia robusta) of varying heights: implications for hydraulic limitation to increased height growth. Trees 23(5):911–921.

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2007

Renninger, H. J., Meinzer, F. C., Gartner, B. L. 2007. Hydraulic architecture and photosynthetic capacity as constraints on release from suppression in Douglas-fir and western hemlock. Tree Physiology 27(1):33-42.

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2006

Renninger, H. J., Gartner, B. L., Meinzer, F. C. 2006. Effects of release from suppression on wood functional characteristics in young Douglas-fir and western hemlock. Canadian Journal of Forest Research 36(8):2038-2046.

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2006

Renninger, H. J., Gartner, B. L., Grotta, A. T. 2006. No Correlation between Latewood Formation and Leader Growth in Douglas-Fir Saplings. IAWA Journal 27(2):183-191.

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Extension Publications

Year Publications

Graduate Students

  • Daniel Bononcini
  • Joseph Thomas
  • Jiaxin Wang

Awards & Honors

  • College of Forest Resources Research Award
    College of Forest Resources; Mississippi State University
  • College of Forest Resources Early Career Achievement Award
    College of Forest Resources; Mississippi State University

Society Memberships

  • American Geophysical Union
  • Ecological Society of America
  • Mississippi Forestry Association

Admissions

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