Abstract
Climatic drying is predicted for many tropical forests yet models remain poorly parameterized for these ecosystems, hampering predictions of forest-climate interactions. We applied an integrated model–experiment approach, parameterizing an ecosystem model with tropical forest observational data and comparing model predictions to a field drying manipulation. We hypothesized that drying suppresses soil CO2 fluxes (i.e., respiration) in relatively dry tropical forests but increases CO2 fluxes in wetter tropical forests by alleviating anaerobiosis. We measured soil CO2 fluxes during wet-dry cycles from 2015 to 2022 in four Panamanian forests that vary in rainfall and soil fertility. Measured soil CO2 fluxes declined in the dry season and peaked in the early wet season ahead of peak soil moisture, resulting in lower soil moisture optima for respiration than previously modeled. We then parameterized the model using field data and the new moisture-respiration response functions. The updated model predicted increased soil CO2 fluxes with drying in wetter and fertile forests and suppressed fluxes in drier, infertile forests. In contrast to model predictions, a chronic throughfall exclusion experiment initially suppressed soil respiration across forests, with sustained suppression for four years in the wettest forest only (−28% ± 4% during the dry season). In the fertile forest, drying eventually elevated CO2 fluxes over this period (+75% ± 28% during the late wet season). The unexpected negative drying effect in the wettest, infertile forest could have resulted from reduced vertical flushing of nutrients into soils. Including hydro-nutrient interactions in ecosystem models could improve predictions of tropical forest-climate feedbacks.
Original language | English |
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Article number | e2022GB007473 |
Journal | Global Biogeochemical Cycles |
Volume | 37 |
Issue number | 4 |
DOIs | |
State | Published - Apr 2023 |
Funding
Funding was provided by Department of Energy (DOE) Early Career Award DE-SC0015898 and NSF Geography & Spatial Studies Grant BCS-1437591 to D. F. Cusack. B. Sulman was supported by the NGEE Arctic project and the DOE Early Career Award program. Oak Ridge National Laboratory is managed by UT-Battelle, LCC for the US DOE under contract DE-AC05-00OR22725. We thank Makenna Brown, Biancolini Castro, Lily Colburn, Weronika Konwent, Amanda L. Cordeiro, Edwin H. García, Adonis Antonio Gordon, Eugenio Gordon, Alexandra Hedgpeth, Gabriela C. Keck, Alice Lin, Frida Perez, Korina Valencia, Clayton Coleman, Maíra Oliveira Macedo, Gabriel Oppler, Jacqueline Reu, Carley Tsiames, Eric Valdes, and Anneke Zeko for field and laboratory support, and we thank the STRI Soils Lab, especially Dayana Agudo and Aleksandra Bielnicka, for laboratory support. Assistance with the map was provided by Matt Zebrowski, cartographer, UCLA. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US DOE. The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Funding was provided by Department of Energy (DOE) Early Career Award DE‐SC0015898 and NSF Geography & Spatial Studies Grant BCS‐1437591 to D. F. Cusack. B. Sulman was supported by the NGEE Arctic project and the DOE Early Career Award program. Oak Ridge National Laboratory is managed by UT‐Battelle, LCC for the US DOE under contract DE‐AC05‐00OR22725. We thank Makenna Brown, Biancolini Castro, Lily Colburn, Weronika Konwent, Amanda L. Cordeiro, Edwin H. García, Adonis Antonio Gordon, Eugenio Gordon, Alexandra Hedgpeth, Gabriela C. Keck, Alice Lin, Frida Perez, Korina Valencia, Clayton Coleman, Maíra Oliveira Macedo, Gabriel Oppler, Jacqueline Reu, Carley Tsiames, Eric Valdes, and Anneke Zeko for field and laboratory support, and we thank the STRI Soils Lab, especially Dayana Agudo and Aleksandra Bielnicka, for laboratory support. Assistance with the map was provided by Matt Zebrowski, cartographer, UCLA. This manuscript has been authored in part by UT‐Battelle, LLC, under contract DE‐AC05‐00OR22725 with the US DOE. The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid‐up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).
Keywords
- CORPSE model
- Panama
- air temperature
- carbon dioxide
- soil carbon cycling
- soil temperature
- throughfall exclusion