Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession
Abstract
Censuses of tropical forest plots reveal large variation in biomass and plant composition. This paper evaluates whether such variation can emerge solely from realistic variation in a set of commonly measured soil chemical and physical properties. Controlled simulations were performed using a mechanistic model that includes forest dynamics, microbe-mediated biogeochemistry, and competition for nitrogen and phosphorus. Observations from 18 forest inventory plots in Guanacaste, Costa Rica were used to determine realistic variation in soil properties. In simulations of secondary succession, the across-plot range in plant biomass reached 30% of the mean and was attributable primarily to nutrient limitation and secondarily to soil texture differences that affected water availability. The contributions of different plant functional types to total biomass varied widely across plots and depended on soil nutrient status. In Central America, soil-induced variation in plant biomass increased with mean annual precipitation because of changes in nutrient limitation. In Central America, large variation in plant biomass and ecosystem composition arises mechanistically from realistic variation in soil properties. Finally, the degree of biomass and compositional variation is climate sensitive. In general, model predictions can be improved through better representation of soil nutrient processes, including their spatial variation.
- Authors:
-
[1];
[2];
[3];
[3];
[1];
[4];
[5];
[6]
- Univ. of Notre Dame, IN (United States)
- Univ. of Oklahoma, Norman, OK (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Utah State Univ., Logan, UT (United States)
- Univ. of Notre Dame, IN (United States); Harvard Univ., Cambridge, MA (United States)
- Univ. of Minnesota, St Paul, MN (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); National Science Foundation (NSF)
- OSTI Identifier:
- 1581362
- Alternate Identifier(s):
- OSTI ID: 1511778
- Grant/Contract Number:
- AC02-05CH11231; SC0014363; DEB-1053237; AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- New Phytologist
- Additional Journal Information:
- Journal Volume: 223; Journal Issue: 4; Journal ID: ISSN 0028-646X
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; ecosystem composition; ED2-MEND-N-COM; forest biomass; soil nutrients; soil texture; spatial variation; terrestrial ecosystem modelling; tropical forests
Citation Formats
Medvigy, David, Wang, Gangsheng, Zhu, Qing, Riley, William J., Trierweiler, Annette M., Waring, Bonnie G., Xu, Xiangtao, and Powers, Jennifer S. Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession. United States: N. p., 2019.
Web. doi:10.1111/nph.15848.
Medvigy, David, Wang, Gangsheng, Zhu, Qing, Riley, William J., Trierweiler, Annette M., Waring, Bonnie G., Xu, Xiangtao, & Powers, Jennifer S. Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession. United States. https://doi.org/10.1111/nph.15848
Medvigy, David, Wang, Gangsheng, Zhu, Qing, Riley, William J., Trierweiler, Annette M., Waring, Bonnie G., Xu, Xiangtao, and Powers, Jennifer S. Sat .
"Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession". United States. https://doi.org/10.1111/nph.15848. https://www.osti.gov/servlets/purl/1581362.
@article{osti_1581362,
title = {Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession},
author = {Medvigy, David and Wang, Gangsheng and Zhu, Qing and Riley, William J. and Trierweiler, Annette M. and Waring, Bonnie G. and Xu, Xiangtao and Powers, Jennifer S.},
abstractNote = {Censuses of tropical forest plots reveal large variation in biomass and plant composition. This paper evaluates whether such variation can emerge solely from realistic variation in a set of commonly measured soil chemical and physical properties. Controlled simulations were performed using a mechanistic model that includes forest dynamics, microbe-mediated biogeochemistry, and competition for nitrogen and phosphorus. Observations from 18 forest inventory plots in Guanacaste, Costa Rica were used to determine realistic variation in soil properties. In simulations of secondary succession, the across-plot range in plant biomass reached 30% of the mean and was attributable primarily to nutrient limitation and secondarily to soil texture differences that affected water availability. The contributions of different plant functional types to total biomass varied widely across plots and depended on soil nutrient status. In Central America, soil-induced variation in plant biomass increased with mean annual precipitation because of changes in nutrient limitation. In Central America, large variation in plant biomass and ecosystem composition arises mechanistically from realistic variation in soil properties. Finally, the degree of biomass and compositional variation is climate sensitive. In general, model predictions can be improved through better representation of soil nutrient processes, including their spatial variation.},
doi = {10.1111/nph.15848},
journal = {New Phytologist},
number = 4,
volume = 223,
place = {United States},
year = {Sat Apr 13 00:00:00 EDT 2019},
month = {Sat Apr 13 00:00:00 EDT 2019}
}
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