Precipitation regimes influence differently the biogeochemical cycles of the tropical dry forest

• Drivers of the C and N co-limitations in the TDFs differ depending on the amount of annual precipitation. • C and N containing compounds accumulate in the soil during dry season due to the reduction of microbial activity. • Total and organic C and N concentrations recovery requires at least to 2 years after El Niño disturbance. • TDFs may shift from C sinks to sources under climate change scenarios. Tropical dry forests (TDFs), comprising ∼40 % of all tropical forests, are crucial for global biogeochemical cycling and a leading driver of global interannual variation in net carbon dioxide exchange. Their sensitivity to precipitation variability affects microbial activity, nutrient mineralization, and organic matter decomposition, yet their responses to environmental change remain insufficiently understood. This study evaluates how different precipitation regimes—annual precipitation, seasonal precipitation, and El Niño events—on the biogeochemical cycling of carbon (C), nitrogen (N), and phosphorus (P) in TDFs. Using long-term datasets on biogeochemistry and plant diversity (both taxonomic and functional), we isolated precipitation effects through a multi-ensemble approach. Our results highlight the role of plant biodiversity–soil interactions in shaping population, community, and ecosystem level responses. Annual precipitation emerged as a key driver of functional trait expression and C cycling. This resulted in a negative trend for most C and N metrics, while the ratio of soil basal respiration to microbial C showed a positive trend. Seasonal precipitation explained much of the variation in N cycling, with wet seasons linked to elevated N metrics and dry seasons associated with higher dissolved organic C and microbial biomass. Post-El Niño recovery of soil C and N required at least two years. While P cycling was influenced by annual precipitation, the effect was not significant. These findings advance our understanding of TDF vulnerability under climate change, emphasizing how changes in rainfall regimes may reshape biogeochemical processes. Notably, our results suggest that TDFs may shift from C sinks to sources under scenarios of intensified drought and incomplete ecosystem recovery after stronger and more frequent drought events.

Authors

Institutions

Publication Details

Journal
Agricultural and Forest Meteorology
Published
2025-10-08
DOI
https://doi.org/10.1016/j.agrformet.2025.110880
Citations
2
Primary Topic
Environmental and biological studies
Type
article
Field-Weighted Citation Impact
3.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precipitation regimes influence differently the biogeochemical cycles of the tropical dry forest

Isela Jasso-Flores, Rogelio Omar Corona-Núñez, T. Luke Smallman
2 citations
Agricultural and Forest Meteorology
Environmental and biological studies
3.43
article

Precipitation regimes influence differently the biogeochemical cycles of the tropical dry forest

Isela Jasso-Flores, Rogelio Omar Corona-Núñez, T. Luke Smallman
article en
2 citations

Abstract

• Drivers of the C and N co-limitations in the TDFs differ depending on the amount of annual precipitation. • C and N containing compounds accumulate in the soil during dry season due to the reduction of microbial activity. • Total and organic C and N concentrations recovery requires at least to 2 years after El Niño disturbance. • TDFs may shift from C sinks to sources under climate change scenarios. Tropical dry forests (TDFs), comprising ∼40 % of all tropical forests, are crucial for global biogeochemical cycling and a leading driver of global interannual variation in net carbon dioxide exchange. Their sensitivity to precipitation variability affects microbial activity, nutrient mineralization, and organic matter decomposition, yet their responses to environmental change remain insufficiently understood. This study evaluates how different precipitation regimes—annual precipitation, seasonal precipitation, and El Niño events—on the biogeochemical cycling of carbon (C), nitrogen (N), and phosphorus (P) in TDFs. Using long-term datasets on biogeochemistry and plant diversity (both taxonomic and functional), we isolated precipitation effects through a multi-ensemble approach. Our results highlight the role of plant biodiversity–soil interactions in shaping population, community, and ecosystem level responses. Annual precipitation emerged as a key driver of functional trait expression and C cycling. This resulted in a negative trend for most C and N metrics, while the ratio of soil basal respiration to microbial C showed a positive trend. Seasonal precipitation explained much of the variation in N cycling, with wet seasons linked to elevated N metrics and dry seasons associated with higher dissolved organic C and microbial biomass. Post-El Niño recovery of soil C and N required at least two years. While P cycling was influenced by annual precipitation, the effect was not significant. These findings advance our understanding of TDF vulnerability under climate change, emphasizing how changes in rainfall regimes may reshape biogeochemical processes. Notably, our results suggest that TDFs may shift from C sinks to sources under scenarios of intensified drought and incomplete ecosystem recovery after stronger and more frequent drought events.

Agricultural and Forest MeteorologyVol. 375
Universidad Autónoma Metropolitana (MX), National Centre for Earth Observation (GB), Instituto de Ecología (MX), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 7%
Environmental and biological studies
3.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.