{"title":"Increasing Evapotranspiration in China: Quantifying the Roles of CO2 Fertilization, Climate and Vegetation Changes","authors":"Meixian Liu, Kairong Lin, Xinjun Tu","doi":"10.1029/2024wr038148","DOIUrl":null,"url":null,"abstract":"Contradictory views are still existing on the dominating drivers and the underlying mechanisms for the overall increasing evapotranspiration (ET) in China, a region has undergone substantial vegetation and climate changes. Particularly, some studies conclude that climate change is the dominating factor, while other researchers believe that it is the vegetation change. To fill this knowledge gap, here we developed a physical-based ET model by combining the modified Penman–Monteith model and a newly developed canopy resistance model, which effectively links ET and its potential drivers, with the mean correlation and relative RMSE between the observed and modeled canopy resistance being 0.83 ± 0.09 and 3.4 ± 1.6%, respectively. The reliability of the model was also demonstrated by comparing the derived sensitivity of canopy resistance to air CO<sub>2</sub> concentration (mean of 0.14 ± 0.03% ppm<sup>−1</sup>) and the observations (∼0.15% ppm<sup>−1</sup>). Based on this model and a scenario analysis approach, we demonstrated that vegetation change, air temperature, air CO<sub>2</sub> concentration and soil moisture were the dominating factors of ET variabilities during 1982–2014, which dominated ET changes at 36.0 ± 16.3%, 16.5 ± 4.5%, 20.2 ± 11.6 and 18.2 ± 10.9% of the land grids, and averagely contributed 0.72 ± 0.32, 0.28 ± 0.15, −0.51 ± 0.15 and 0.13 ± 0.78 mm yr<sup>−2</sup>, respectively. These indicated that vegetation change was the most important factor for the increasing ET over China during the past several decades. These findings and the model are helpful for assessing the ecohydrological cycles in a changing environment.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"40 1","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Resources Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1029/2024wr038148","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Contradictory views are still existing on the dominating drivers and the underlying mechanisms for the overall increasing evapotranspiration (ET) in China, a region has undergone substantial vegetation and climate changes. Particularly, some studies conclude that climate change is the dominating factor, while other researchers believe that it is the vegetation change. To fill this knowledge gap, here we developed a physical-based ET model by combining the modified Penman–Monteith model and a newly developed canopy resistance model, which effectively links ET and its potential drivers, with the mean correlation and relative RMSE between the observed and modeled canopy resistance being 0.83 ± 0.09 and 3.4 ± 1.6%, respectively. The reliability of the model was also demonstrated by comparing the derived sensitivity of canopy resistance to air CO2 concentration (mean of 0.14 ± 0.03% ppm−1) and the observations (∼0.15% ppm−1). Based on this model and a scenario analysis approach, we demonstrated that vegetation change, air temperature, air CO2 concentration and soil moisture were the dominating factors of ET variabilities during 1982–2014, which dominated ET changes at 36.0 ± 16.3%, 16.5 ± 4.5%, 20.2 ± 11.6 and 18.2 ± 10.9% of the land grids, and averagely contributed 0.72 ± 0.32, 0.28 ± 0.15, −0.51 ± 0.15 and 0.13 ± 0.78 mm yr−2, respectively. These indicated that vegetation change was the most important factor for the increasing ET over China during the past several decades. These findings and the model are helpful for assessing the ecohydrological cycles in a changing environment.
中国是一个经历了大量植被和气候变化的地区,关于蒸散发总体增加的主要驱动因素和潜在机制仍存在矛盾的观点。特别是,一些研究认为气候变化是主导因素,而另一些研究认为是植被变化。为了填补这一空白,我们将修正的Penman-Monteith模型与新建立的冠层阻力模型相结合,建立了一个基于物理的ET模型,该模型有效地将ET与其潜在驱动因素联系起来,观测到的冠层阻力与模型之间的平均相关系数和相对RMSE分别为0.83±0.09和3.4±1.6%。通过比较推导的冠层阻力对空气CO2浓度(平均值0.14±0.03% ppm−1)和观测值(~ 0.15% ppm−1)的敏感性,也证明了模型的可靠性。基于该模型和情景分析方法发现,1982—2014年植被变化、气温、大气CO2浓度和土壤湿度是影响ET变化的主要因子,分别占36.0±16.3%、16.5±4.5%、20.2±11.6和18.2±10.9%,平均贡献分别为0.72±0.32、0.28±0.15、- 0.51±0.15和0.13±0.78 mm yr - 2。这些结果表明,植被变化是近几十年来中国ET增加的最重要因素。这些发现和模型对评价变化环境下的生态水文循环具有一定的指导意义。
期刊介绍:
Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.