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Title: Modeling the Effects of Global Change on Ecosystem Processes in a Tropical Rainforest

Abstract

Ongoing land-use change and climate change in wet tropical forests can potentially drive shifts in tree species composition, representing a change in individual species within a functional group, tropical evergreen trees. The impacts on the global carbon cycle are potentially large, but unclear. We explored the differential effects of species within this functional group, in comparison with the effects of climate change, using the Century model as a research tool. Simulating effects of individual tree species on biome-level biogeochemical cycles constituted a novel application for Century. Background and Objectives: A unique, long-term, replicated field experiment containing five evergreen tree species in monodominant stands under similar environmental conditions in a Costa Rican wet forest provided data for model evaluation. Our objectives were to gain insights about this forest’s biogeochemical cycles and effects of tree species within this functional group, in comparison with climate change. Materials and Methods: We calibrated Century, using long-term meteorological, soil, and plant data from the field-based experiment. In modeling experiments, we evaluated effects on forest biogeochemistry of eight plant traits that were both observed and modeled. Climate-change simulation experiments represented two climate-change aspects observed in this region. Results: Model calibration revealed that unmodeled soil processes would bemore » required to sustain observed P budgets. In species-traits experiments, three separate plant traits (leaf death rate, leaf C:N, and allocation to fine roots) resulted in modeled biomass C stock changes of >50%, compared with a maximum 21% change in the climate-change experiments. Conclusions: Modeled ecosystem properties and processes in Century were sensitive to changes in plant traits and nutrient limitations to productivity. Realistic model output was attainable for some species, but unusual plant traits thwarted predictions for one species. Including more plant traits and soil processes could increase realism, but less-complex models provide an accessible means for exploring plant-soil-atmosphere interactions.« less

Authors:
 [1];  [2]
  1. Iowa State Univ., Ames, IA (United States). Dept. of Natural Resource Ecology and Mangement
  2. Colorado State Univ., Fort Collins, CO (United States). Natural Resource Ecology Lab.
Publication Date:
Research Org.:
Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1803422
Grant/Contract Number:  
SC0018420
Resource Type:
Accepted Manuscript
Journal Name:
Forests
Additional Journal Information:
Journal Volume: 11; Journal Issue: 2; Journal ID: ISSN 1999-4907
Publisher:
MDPI
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Forestry; climate change; species effects; biogeochemical model; temperature; precipitation; tropical forests

Citation Formats

Russell, Ann E., and Parton, William J. Modeling the Effects of Global Change on Ecosystem Processes in a Tropical Rainforest. United States: N. p., 2020. Web. doi:10.3390/f11020213.
Russell, Ann E., & Parton, William J. Modeling the Effects of Global Change on Ecosystem Processes in a Tropical Rainforest. United States. https://doi.org/10.3390/f11020213
Russell, Ann E., and Parton, William J. Thu . "Modeling the Effects of Global Change on Ecosystem Processes in a Tropical Rainforest". United States. https://doi.org/10.3390/f11020213. https://www.osti.gov/servlets/purl/1803422.
@article{osti_1803422,
title = {Modeling the Effects of Global Change on Ecosystem Processes in a Tropical Rainforest},
author = {Russell, Ann E. and Parton, William J.},
abstractNote = {Ongoing land-use change and climate change in wet tropical forests can potentially drive shifts in tree species composition, representing a change in individual species within a functional group, tropical evergreen trees. The impacts on the global carbon cycle are potentially large, but unclear. We explored the differential effects of species within this functional group, in comparison with the effects of climate change, using the Century model as a research tool. Simulating effects of individual tree species on biome-level biogeochemical cycles constituted a novel application for Century. Background and Objectives: A unique, long-term, replicated field experiment containing five evergreen tree species in monodominant stands under similar environmental conditions in a Costa Rican wet forest provided data for model evaluation. Our objectives were to gain insights about this forest’s biogeochemical cycles and effects of tree species within this functional group, in comparison with climate change. Materials and Methods: We calibrated Century, using long-term meteorological, soil, and plant data from the field-based experiment. In modeling experiments, we evaluated effects on forest biogeochemistry of eight plant traits that were both observed and modeled. Climate-change simulation experiments represented two climate-change aspects observed in this region. Results: Model calibration revealed that unmodeled soil processes would be required to sustain observed P budgets. In species-traits experiments, three separate plant traits (leaf death rate, leaf C:N, and allocation to fine roots) resulted in modeled biomass C stock changes of >50%, compared with a maximum 21% change in the climate-change experiments. Conclusions: Modeled ecosystem properties and processes in Century were sensitive to changes in plant traits and nutrient limitations to productivity. Realistic model output was attainable for some species, but unusual plant traits thwarted predictions for one species. Including more plant traits and soil processes could increase realism, but less-complex models provide an accessible means for exploring plant-soil-atmosphere interactions.},
doi = {10.3390/f11020213},
journal = {Forests},
number = 2,
volume = 11,
place = {United States},
year = {Thu Feb 13 00:00:00 EST 2020},
month = {Thu Feb 13 00:00:00 EST 2020}
}

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