Zhongen Niu , Honglin He , Ying Zhao , Bin Wang , Lili Feng , Yan Lv , Mengyu Zhang , Jiayi Fan , Zhihao Li
{"title":"Decadal variations in the driving factors of increasing water-use efficiency in China's terrestrial ecosystems from 2000 to 2022","authors":"Zhongen Niu , Honglin He , Ying Zhao , Bin Wang , Lili Feng , Yan Lv , Mengyu Zhang , Jiayi Fan , Zhihao Li","doi":"10.1016/j.ecoinf.2024.102895","DOIUrl":null,"url":null,"abstract":"<div><div>Ecosystem water-use efficiency (WUE) is a crucial indicator for evaluating carbon and water cycles. Although greening and climate change have significantly altered the WUE in Chinese terrestrial ecosystems, the roles of physiological and ecological processes are not fully understood. To address this, WUE is broken down into two key ratios: gross primary productivity to transpiration (GPP/T), which mainly reflects the effect of plant physiological processes, and transpiration to evapotranspiration (T/ET), which primarily indicates the impact of vegetation changes. Both ratios are influenced by climate change. This study employed a newly developed satellite-based ecosystem service process model Carbon and Exchange between Vegetation, Soil, and Atmosphere-ecosystem service (CEVSA-ES) to examine the impact of GPP/T and T/ET on WUE in China's terrestrial ecosystems from 2000 to 2022, alongside an analysis of the environmental variables affecting these ratios. This study revealed a general increase in WUE during the study period with significant interdecadal differences. Between 2000 and 2010, WUE was relatively stable (slope = 0.0023 g C kg<sup>−1</sup> H<sub>2</sub>O a<sup>−1</sup>, <em>p</em> > 0.05), primarily because the decrease in GPP/T (<em>p</em> < 0.05) offset the increase in T/ET (<em>p</em> < 0.01). In contrast, from 2010 to 2022, a notable increase in WUE was observed (slope = 0.0145 g C kg<sup>−1</sup> H<sub>2</sub>O a<sup>−1</sup>, <em>p</em> < 0.01), driven primarily by an increase in GPP/T (<em>p</em> < 0.01), whereas T/ET remained relatively unchanged (<em>p</em> > 0.05). Factors affecting GPP/T and T/ET showed considerable variability. Precipitation had the main influence on GPP/T, accounting for 70 % of its variation. The initial decade of the 21st century experienced an overall precipitation deficiency, followed by a sustained surplus in the subsequent years, resulting in interdecadal fluctuations in GPP/T. In contrast, T/ET was affected by a combination of factors, including the leaf area index, temperature, and precipitation, contributing 39 %, 29 %, and 32 %, respectively. The present study advances our understanding of the interaction of terrestrial ecosystem with the atmosphere amid global changes, offering crucial insights for forecasting the future dynamics of carbon and water cycles.</div></div>","PeriodicalId":51024,"journal":{"name":"Ecological Informatics","volume":"84 ","pages":"Article 102895"},"PeriodicalIF":5.8000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Informatics","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574954124004370","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Ecosystem water-use efficiency (WUE) is a crucial indicator for evaluating carbon and water cycles. Although greening and climate change have significantly altered the WUE in Chinese terrestrial ecosystems, the roles of physiological and ecological processes are not fully understood. To address this, WUE is broken down into two key ratios: gross primary productivity to transpiration (GPP/T), which mainly reflects the effect of plant physiological processes, and transpiration to evapotranspiration (T/ET), which primarily indicates the impact of vegetation changes. Both ratios are influenced by climate change. This study employed a newly developed satellite-based ecosystem service process model Carbon and Exchange between Vegetation, Soil, and Atmosphere-ecosystem service (CEVSA-ES) to examine the impact of GPP/T and T/ET on WUE in China's terrestrial ecosystems from 2000 to 2022, alongside an analysis of the environmental variables affecting these ratios. This study revealed a general increase in WUE during the study period with significant interdecadal differences. Between 2000 and 2010, WUE was relatively stable (slope = 0.0023 g C kg−1 H2O a−1, p > 0.05), primarily because the decrease in GPP/T (p < 0.05) offset the increase in T/ET (p < 0.01). In contrast, from 2010 to 2022, a notable increase in WUE was observed (slope = 0.0145 g C kg−1 H2O a−1, p < 0.01), driven primarily by an increase in GPP/T (p < 0.01), whereas T/ET remained relatively unchanged (p > 0.05). Factors affecting GPP/T and T/ET showed considerable variability. Precipitation had the main influence on GPP/T, accounting for 70 % of its variation. The initial decade of the 21st century experienced an overall precipitation deficiency, followed by a sustained surplus in the subsequent years, resulting in interdecadal fluctuations in GPP/T. In contrast, T/ET was affected by a combination of factors, including the leaf area index, temperature, and precipitation, contributing 39 %, 29 %, and 32 %, respectively. The present study advances our understanding of the interaction of terrestrial ecosystem with the atmosphere amid global changes, offering crucial insights for forecasting the future dynamics of carbon and water cycles.
期刊介绍:
The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.
The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.