A Generalized Resource‐Constrained Framework for Quantifying Ecosystem Water and Carbon Fluxes

Abstract Gross primary productivity (GPP) and evapotranspiration (ET) represent two fundamental processes in coupled water and carbon cycles. The strong regulation of ecosystem carbon and water fluxes by stomata is well understood at the leaf level. However, the coupling is complex at regional or ecosystem scales. The objective of this study is to understand key environmental factors that control both water and carbon fluxes at regional scales and develop a robust resource‐constrained framework (RCF) for estimating climatology of ecosystem carbon and water fluxes consistently. Water balance data from 1927 catchments were obtained to parameterize the model and independent observations from 107 flux stations were used to validate the method. Results demonstrated robust model performance with Nash–Sutcliffe efficiency (NSE) of 0.65 for GPP and NSE of 0.55 for ET against independent flux observations. The RCF approach estimated global mean GPP and ET at 1,141 g C m −2 a −1 and 530 mm a −1 , respectively, corresponding to an annual terrestrial carbon uptake of 142.4 Pg C a −1 . Further analysis identified the ecosystem responsive regimes, with about 40% land areas energy‐responsive, 40% water‐responsive, and 20% co‐responsive for both GPP and ET across the globe. This study reveals consistent estimates of GPP and ET by disentangling the spatial interplay of energy and water constraints. The RCF approach provides a transparent and scalable approach to jointly estimate and attribute carbon and water fluxes, offering new insights into ecosystem functioning and a pathway to improve ecosystem modeling.

Authors

Institutions

Publication Details

Journal
Water Resources Research
Published
2026-05-30
DOI
https://doi.org/10.1029/2025wr042435
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Generalized Resource‐Constrained Framework for Quantifying Ecosystem Water and Carbon Fluxes

L Zhang, Kaijie Zou, Weibo Liu, Ying‐Ping Wang et al.
Water Resources Research
Plant Water Relations and Carbon Dynamics
article

A Generalized Resource‐Constrained Framework for Quantifying Ecosystem Water and Carbon Fluxes

L Zhang, Kaijie Zou, Weibo Liu, Ying‐Ping Wang, Xuxin Lei, Yue Wang, Pi Liu, C R Lei, Shuai Wang
article en

Abstract

Abstract Gross primary productivity (GPP) and evapotranspiration (ET) represent two fundamental processes in coupled water and carbon cycles. The strong regulation of ecosystem carbon and water fluxes by stomata is well understood at the leaf level. However, the coupling is complex at regional or ecosystem scales. The objective of this study is to understand key environmental factors that control both water and carbon fluxes at regional scales and develop a robust resource‐constrained framework (RCF) for estimating climatology of ecosystem carbon and water fluxes consistently. Water balance data from 1927 catchments were obtained to parameterize the model and independent observations from 107 flux stations were used to validate the method. Results demonstrated robust model performance with Nash–Sutcliffe efficiency (NSE) of 0.65 for GPP and NSE of 0.55 for ET against independent flux observations. The RCF approach estimated global mean GPP and ET at 1,141 g C m −2 a −1 and 530 mm a −1 , respectively, corresponding to an annual terrestrial carbon uptake of 142.4 Pg C a −1 . Further analysis identified the ecosystem responsive regimes, with about 40% land areas energy‐responsive, 40% water‐responsive, and 20% co‐responsive for both GPP and ET across the globe. This study reveals consistent estimates of GPP and ET by disentangling the spatial interplay of energy and water constraints. The RCF approach provides a transparent and scalable approach to jointly estimate and attribute carbon and water fluxes, offering new insights into ecosystem functioning and a pathway to improve ecosystem modeling.

Water Resources ResearchVol. 62(6)
Commonwealth Scientific and Industrial Research Organisation (AU), Wuhan University (CN), China Institute of Electronics (CN), Jiangxi Academy of Environmental Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Plant Water Relations and Carbon Dynamics
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.