1959-2021年间热带雨林区域的蒸发皿蒸发量呈下降趋势  

Observed decreasing trend in pan evaporation in a tropical rainforest region during 1959-2021

作　　者：Yan Jin Ying Zhang Xin Yang Mou Zhang Xin-Bo Guo Yun Deng Yue-Hua Hu Hua-Zheng Lu Zheng-Hong Tan 

机构地区：[1]School of Ecology and Environmental Science,Yunnan University,Kunming 650091,China [2]International Center for Climate and Environment Sciences,Institution of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China [3]CAS Key Laboratory of Tropical Forest Ecology,Xishuangbanna Tropical Botanical Garden,Chinese Academy of Sciences,Mengla,Menglun 666303,China [4]Center for Plant Ecology,Core Botanical Gardens,Chinese Academy of Sciences,Mengla,Menglun 666303,China

出　　处：《Journal of Plant Ecology》2024年第1期1-16,共16页植物生态学报（英文版）

基　　金：This study was supported by the National Natural Science Foundation of China(41861023);Major Program for Basic Research Project of Yunnan Province(202101BC070002).

摘　　要：蒸发皿蒸发量(E_(pan))是衡量大气蒸发需求的重要指标。基于物理模型对西双版纳热带植物园中热带雨林综合气象观测场(XTBG气象站)的气象资料进行分析,有助于提高我们对西双版纳热带雨林区域水文循环状况的认识。本文利用1959-2021年的观测资料,研究了E_(pan)的长期变化趋势,并进行了趋势检验、周期性评价和突变分析等相关分析。基于1979-2008年D20 E_(pan)数据和相关气象资料,利用Penman-Monteith和PenPan模型对E_(pan)进行模拟,采用偏微分归因法分析了影响E_(pan)的主导因素。研究结果表明,E_(pan)具有明显的周期变化,19 a为第一主周期。而且,西双版纳地区存在明显的‘蒸发悖论’现象。E_(pan)在1959-2008年和2009-2018年均呈下降趋势,其中1959-2008年下降幅度达到显著水平,为-3.404 mm·a^(-2)。通过对比分析,认为PenPan模型更适合用于模拟西双版纳地区的E_(pan)。为了确定影响E_(pan)的主要气象因子,选取了D20蒸发皿完整监测时期的数据(1979-2008)进行归因计算。太阳净辐射和饱和蒸汽压差的减小趋势可以有效抵消气温上升对E_(pan)的促进作用。因此,净辐射和饱和蒸汽压差的变化是西双版纳‘蒸发悖论’现象的主要触发因素。Pan evaporation(E_(pan))is a critical measure of the atmospheric evaporation demand.Analyzing meteorological data from the Tropical Rainforest Comprehensive Meteorological Observation Field in the Xishuangbanna Tropical Botanical Garden(XTBG Meteorological Observing Station)based on physical models is helpful to improve our understanding of the state of the hydrological cycle in the Xishuangbanna tropical rainforest region.In this study,we investigated the long-term trend in E_(pan)using the observation data from 1959 to 2021.Moreover,correlation analyses of E_(pan)were performed,such as trend test,assessment of periodic properties and abrupt change analysis.Then,D20 E_(pan)data and related meteorological data from 1979 to 2008 were used to drive Penman‒Monteith and PenPan models for simulating E_(pan).The partial derivative attribution method was used to analyze the dominant factors affecting E_(pan).The results showed that E_(pan)exhibits obvious periodic changes,the 19a is the first primary period.In addition,there was a clear‘evaporation paradox’phenomenon in Xishuangbanna.E_(pan)showed a decreasing trend during both 1959-2008 and 2009-2018,and the decreasing trend reached a significant level with a rate of-3.404 mm·a^(-2)during 1959-2008.Through comparative analysis,the PenPan model was considered more suitable for simulating E_(pan)in Xishuangbanna.In order to identify the main meteorological factors influencing E_(pan),complete data from the D20 pan monitoring period,namely,1979-2008,were selected for attribution calculations.The variations in the net radiation and saturated vapor pressure deficit are the main triggers that explain the‘evaporation paradox’phenomenon in Xishuangbanna.

关 键 词：蒸发皿蒸发量 蒸发悖论 PenPan模型 偏微分归因法 驱动因素 

分 类 号：Q94[生物学—植物学]