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Improved Regional Scale Dynamic Evapotranspiration Estimation Under Changing Vegetation and Climate
Water Resources Research ( IF 5.4 ) Pub Date : 2021-07-26 , DOI: 10.1029/2021wr029832
Krysta Giles‐Hansen 1 , Xiaohua Wei 1
Affiliation  

Vegetation change can significantly alter evapotranspiration (ET), an important component of the terrestrial water balance, and consequently influences other hydrological processes. With no direct measurement techniques available at large spatial scales, the accurate estimation of ET under changing forest landscapes and climate is challenging. In this study, we used an improved method based on Fuh's equation (a functional form of the Budyko framework) to investigate ET responses to cumulative forest disturbance and climate in the snow-dominated interior of British Columbia, Canada. First, we divided the study region into three distinct climate groups, and then related the watershed parameter m in Fuh's equation to vegetation change (represented by cumulative equivalent clearcut area (CECA)) and watershed properties, with independent calibration and validation watersheds. The validated relationships were used to examine regional ET variations (∼380,000 km2). Our results showed that ET in moderate climates had the highest sensitivity to CECA, characterized by wetness index between 1 and 2 (the ratio of precipitation to potential evapotranspiration). ET in dry climates (wetness index <1) was also significantly related to CECA, but with reduced sensitivity compared to the moderate climates. Wetter climates (wetness index >2) did not show a significant relationship with CECA, suggesting an insensitivity of ET to forest change. Simulations under future climate and vegetation disturbance scenarios demonstrated that ET would be further decreased in most of the study region. Forest management should consider reducing disturbance in the dry to moderate climate areas to mitigate negative impacts on hydrological processes and functions.

中文翻译:

植被和气候变化下改进的区域尺度动态蒸散估算

植被变化可以显着改变蒸散量 (ET),这是陆地水平衡的重要组成部分,从而影响其他水文过程。由于在大空间尺度上没有可用的直接测量技术,在不断变化的森林景观和气候下准确估计 ET 具有挑战性。在这项研究中,我们使用基于 Fuh 方程(Budyko 框架的函数形式)的改进方法来研究 ET 对加拿大不列颠哥伦比亚省以雪为主的内陆地区累积森林干扰和气候的响应。首先,我们将研究区域划分为三个不同的气候组,然后将流域参数m在 Fuh 方程中,植被变化(由累积等效清除面积 (CECA) 表示)和流域特性,具有独立的校准和验证流域。验证的关系用于检查区域 ET 变化(~380,000 km 2)。我们的结果表明,温和气候下的 ET 对 CECA 的敏感性最高,其特征是湿度指数介于 1 和 2 之间(降水与潜在蒸散量的比率)。干燥气候中的 ET(湿度指数 <1)也与 CECA 显着相关,但与温和气候相比敏感性降低。较潮湿的气候(湿度指数 >2)与 CECA 没有显着关系,表明 ET 对森林变化不敏感。未来气候和植被干扰情景下的模拟表明,大部分研究区域的 ET 将进一步减少。森林管理应考虑减少干旱至温和气候地区的干扰,以减轻对水文过程和功能的负面影响。
更新日期:2021-08-05
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