
Ecological Informatics, Journal Year: 2024, Volume and Issue: 84, P. 102895 - 102895
Published: Nov. 13, 2024
Language: Английский
Ecological Informatics, Journal Year: 2024, Volume and Issue: 84, P. 102895 - 102895
Published: Nov. 13, 2024
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 953, P. 176174 - 176174
Published: Sept. 12, 2024
Language: Английский
Citations
2Agricultural Water Management, Journal Year: 2024, Volume and Issue: 304, P. 109100 - 109100
Published: Oct. 13, 2024
Language: Английский
Citations
2Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112492 - 112492
Published: Aug. 13, 2024
Ecosystem water use efficiency (WUE) is a key indicator for understanding the response of carbon–water processes to environmental changes. However, as affected by uncertainty WUE estimation and attribution, individual contributions drivers changes underlying mechanisms remain unclear on Tibetan Plateau (TP). Here, theory-based analytical model was modified introducing an optimal stomatal behavior model, used estimate monthly their during 1982–2018 main vegetation types Rationality three mainstream attribution methods—analytical-based partial derivative method (APDM), regression-based (NPDM), climate elasticity (CEM)—was examined. Furtherly, various variation trend were estimated types. Results indicate that: (1) The performed well in estimating against with observed at five eddy-covariance (EC) flux stations, which decreased estimation. increased significantly TP slope 0.49 × 10-2 g C kg−1 H2O yr−1 forests most rapidly; (2) Only APDM captured both magnitude trends, NPDM CEM failed reproduce though better than benefited from its nonlinear structure. Through comparing these methods, we found that direct effects forcing variables change could be higher indirect caused interactions. (3) There are some differences trends Increase mainly driven increase leaf area index (LAI) steppes meadows, while air vapor pressure deficit (VPD) elevated CO2 showed positive broad-leaf forests. distinct extremely scarce EC observations suggest more attention should paid TP. This study help selection methods coupling alpine ecosystems under changing climate.
Language: Английский
Citations
1Ecological Informatics, Journal Year: 2024, Volume and Issue: 84, P. 102895 - 102895
Published: Nov. 13, 2024
Language: Английский
Citations
1