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Linkages between forest composition and primary production across a disturbance severity gradient

Project Abstract: 
In numerous forests worldwide, there is a growing prevalence of insect disturbances that impact the composition of plant communities and the overall structure of forests. Despite this, the degree to which these alterations in community composition and structure affect the annual storage of carbon in plant biomass, also known as net primary production (NPP), remains poorly understood. Our study investigates whether changes in plant community composition, structural adjustments, and NPP exhibit similar responses to increasing severity of disturbances and two specific disturbance orientations that selectively impact large (top-down) and small (bottom-up) diameter trees. Understanding these responses is crucial for effective management and modeling, particularly when making inferences about how forested ecosystems structurally and functionally respond to varying levels of disturbance caused by insects. The Forest Resilience Threshold Experiment (FoRTE) is a replicated study focused on disturbance orientation and severity, using stem-girdling to induce four levels of gross defoliation ranging from 0% (control) to 85%. Through the analysis of five years of data on leaf litter, seedlings and canopy composition, and portable canopy LiDAR, we explored the relationships between community composition, structure, and NPP across different levels of disturbance severity. Our findings, observed five years after the initiation of the girdling disturbance, indicate that mid-successional Fagus and Acer species consistently dominate the composition of seedlings and saplings, regardless of disturbance severity. In contrast, the canopy is predominantly occupied by Acer and Populus species, surpassing Quercus and Fagus. Despite expectations that high canopy mortality would create conditions favorable to early successional species, their anticipated dominance did not manifest in any of the plots. Surprisingly, NPP demonstrated significant resistance to disturbance across the gradient of severity, irrespective of compositional changes and the level of tree mortality for mid-successional species, but not for early successional species. This suggests a decoupling between composition and production following altered functional responses to disturbance for early successional species. Our analysis implies that, as we strive to manage forests for greater stability in the face of increasing disturbance and intensifying climate change, stability in carbon cycling may be achievable even in the presence of substantial changes in community composition. References: [1]Nave, L.E., et al (2011) Journal of Geophysical Research, 116, G04016. [2] Johnstone, J., et al (2016) Frontiers in Ecology, 14(7), 369-378. [3] Gough, C.M., et al (2021) Ecosystems, 24(10). [4]Gough, C.M., et al (2013) Ecological Applications, 23(5),1205-1215. [5]Stuart-Haentjens, E.J. (2015) Ecology, 96(9), 2478-2487. [6] McDowell et al. (2020) Science, 368(6494). [7] Fahey et al. (2018) Forest Ecology and Management, 421, 59-71.
Investigators: 
Status of Research Project: 
Years Active: 
2023 to 2024
Research sites: 
Methods: 
Leaf area index (LAI) will be measured annually from 2018 through 2025 by collecting leaves from litter traps located within the 32 FoRTE experimental subplots. Within each subplot, 4 litter traps are located in the cardinal directions. Leaves are collected in the fall, dried, and then sorted by species and weighed to collect the mass of each species at the site level. I used 2x2m vegetation plots to obtain DBH, height, species, and count of every seedling. Complementary data include canopy structure and spectrometry, leaf physiology, and above-ground net primary production (NPP), which is derived from the difference between gross primary production, the total flux of C into the forest, and respiration, total loss of CO₂ from the forest. Species specific leaf area (SLA) was determined by multiplying leaf mass by leaf area. I will express changes in functional diversity in response to the FoRTE treatments as Simpson's Diversity Index, estimated from canopy LAI where n is the total leaf mass of a certain species, and N is the total leaf mass of all the species. I will use the basal area of seedlings at the subplot level to compare to LAI of senescence leaves to find species compositional winners. Wood NPP is estimated from annual incremental growth of woody biomass added each year for canopy and subcanopy trees. Aboveground woody mass will be estimated from the diameter at breast height (DBH) measurements of all trees in experimental plots that are >8cm dbh before and after peak disturbance. Trees below <8cm dbh are broken down into size classes, <2, 2-3.9,4-5.9,6-7.9, and tallied by species [5]. Site and species specific allometric equations are used to calculate above ground mass from dbh. Mean annual NPP is generated by taking the mean total change in growth between measurement periods of the above ground wood mass.
Funding agency: 
National Science Foundation