Greening of vegetation and climate change promote an increase in evapotranspiration and transpiration fraction in the Yellow River Basin, China

Yangyang Liu
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Abstract

: In recent years, the vegetation cover has been significantly improved, and the water and soil loss have been effectively controlled due to the carried out of the Grain for Green project in the Yellow River Basin (YRB) of China (Cao et al. 2022). However, the improper selection of restoration species in large-scale vegetation restoration and reconstruction also caused new ecological problems. For example, introducing high water-consuming species for high-density planting neglects the balance between vegetation growth and the hydrological cycle, thus increasing soil water consumption (Shao et al. 2019; Liang et al. 2020; Yang et al. 2022). Obviously, in arid areas such as the YRB, in order to maintain the sustainability of vegetation restoration and ensure the stability of available water resources, it is necessary to fully comprehend the impact of regional vegetation evolution on the evapotranspiration process, and then construct vegetation restoration strategies with the goal of sustainable water resources. Meanwhile, the YRB has shown a significant warming trend in recent years. Under the influence of climate change, changes in vegetation patterns will lead to significant uncertainty in the regional evapotranspiration process, as there is a synergistic effect between climate change and vegetation evolution on the evapotranspiration process. Ignoring the synergistic effects of climate and vegetation evolution will increase the uncertainty in understanding the response relationship between vegetation evolution and regional evapotranspiration processes. In order to quantify the relative impact of climate change and vegetation restoration on regional evapotranspiration processes, we used an optimized Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model to simulate evapotranspiration (ET), transpiration (T) and transpiration fractions (T/ET). Partial correlation analysis, multiple regression analysis, and structural equation modelling were used to elucidate the response mechanism of evapotranspiration processes to climate change and vegetation greening. Model evaluation showed that the PT-JPL model performs well in the simulation of ET and T. During the study period of 1982 to 2015, the average annual ET, T, and TF increased at a rate of 3.20 mm/a, 0.77 mm/a and 0.003/a, respectively. Vegetation greening was proved to be the primary driver for the increase of ET, T and TF, which enhanced ET, T, and TF at a rate of 0.81 mm/a, 0.26 mm/a and 0.54/a, respectively. Radiation and temperature jointly dominated ET changes in the upper reaches of the YRB, as well as the T and TF changes in the southern part of the basin, while the relative humidity and temperature jointly dominated the T change in the upper reaches of the basin. The findings were helpful for regional water resources management and formulating water resources-sustainable vegetation restoration strategies.
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植被绿化和气候变化促进了黄河流域蒸散量和蒸腾分数的增加
:近年来,由于中国黄河流域退耕还林工程的实施,植被覆盖明显改善,水土流失得到有效控制(Cao et al. 2022)。然而,在大规模植被恢复重建中,恢复物种的选择不当也造成了新的生态问题。例如,为高密度种植引入高耗水物种,忽视了植被生长与水循环之间的平衡,从而增加了土壤水分消耗(Shao et al. 2019;Liang et al. 2020;Yang et al. 2022)。显然,在干旱区如长江干旱区,为了保持植被恢复的可持续性,确保有效水资源的稳定性,有必要充分了解区域植被演化对蒸散过程的影响,进而构建以可持续水资源为目标的植被恢复策略。同时,长江三角洲近年来呈现明显的增温趋势。在气候变化的影响下,植被格局的变化将导致区域蒸散发过程的显著不确定性,因为气候变化和植被演化对蒸散发过程存在协同效应。忽视气候与植被演化的协同效应,将增加对植被演化与区域蒸散响应关系认识的不确定性。为了量化气候变化和植被恢复对区域蒸散发过程的相对影响,采用优化的Priestley-Taylor喷气推进实验室(PT-JPL)模型对蒸散发(ET)、蒸腾(T)和蒸腾分数(T/ET)进行了模拟。采用偏相关分析、多元回归分析和结构方程建模等方法,阐明了蒸散过程对气候变化和植被绿化的响应机制。模式评价结果表明,PT-JPL模式对ET和T的模拟效果较好。1982 ~ 2015年研究期间,年平均ET、T和TF分别以3.20 mm/a、0.77 mm/a和0.003 mm/a的速率增加。植被绿化是增加ET、T和TF的主要驱动因素,分别以0.81 mm/a、0.26 mm/a和0.54 mm/a的速率增加ET、T和TF。辐射和温度共同主导YRB上游ET变化,以及盆地南部T和TF变化,而相对湿度和温度共同主导盆地上游T变化。研究结果可为区域水资源管理和制定水资源可持续植被恢复策略提供参考。
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