[Analysis of Multiple Drivers of Fractional Vegetation Cover Evolution in Beijing, Tianjin, and Hebei Based on the Optimal Parameters Geographical Detector].

Q2 Environmental Science
Kai Shi, Feng Yan, Zong-Chao Wang, Peng-Fei Tian, Yue-Bing Liang, Ya-Heng Chen
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引用次数: 0

Abstract

A clear understanding of the driving mechanisms behind spatial and temporal vegetation dynamics is of great significance in guiding the protection and restoration of ecological environments. The spatial and temporal distribution pattern of fractional vegetation cover (FVC) and its multiple driving mechanisms in Beijing, Tianjin, and Hebei were investigated using long-term NDVI data from 2002 to 2020. A total of 25 specific variables were selected to represent the influencing factors of topography, climate, geotechnical type, and human activities. The selected variables were combined with the methods of metric dichotomies, trend analyses, biased correlation analyses, and optimal parameter geodetectors. The results indicated that: ① The FVC in Beijing, Tianjin, and Hebei over the past 20 years exhibited a general downward trend, with an average decline rate of approximately 0.002 4 per annum. The FVC levels in the northern and southern regions were relatively high, while those in the western and central regions were relatively low. Approximately 28.73% of the areas exhibited a significant decreasing trend (P<0.01), with the greatest decline observed in the southern, eastern, and central regions of Beijing, Tianjin, and Hebei. ② The main factors driving the evolution of FVC (Q>0.15) were identified as natural factors, including evapotranspiration, cumulative precipitation, soil type, topography, and human activities, such as financial income, GDP per capita, nighttime light intensity, and population density. These factors were found to interact with each other. The enhancement effect on FVC was found to be nonlinear, with a bilinear enhancement effect observed when the combination of LST and ET was considered. This was followed by the combination of solar radiation and ET, which demonstrated the highest explanatory power (Q>0.81). The FVC was highest for the combination of LST and ET (Q>0.83) and second highest for the combination of solar radiation and ET (Q>0.81). ③ Evapotranspiration ranged from 572 to 772 mm, cumulative precipitation ranged from 461 to 514 mm, and radiation ranged from 1 980 to 2 030 W·m-2. When LST was between 5.5 and 12 ℃, average temperature was between -0.902 and 3.74 ℃, altitude was between 1 560 and 2 180 m, terrain type was large undulating middle mountain, soil type was leaching soil, and vegetation type was forest land, with FVC performing the best. The results of this study can assist the regional government in making accurate policy decisions regarding the protection and restoration of the vegetation ecosystem.

基于最优参数地理探测器的京津冀植被覆盖度演变多驱动因素分析[j]。
明确植被时空动态的驱动机制,对指导生态环境的保护与恢复具有重要意义。利用2002 - 2020年北京、天津、河北3个地区NDVI数据,对植被覆盖度时空分布格局及其多重驱动机制进行了研究。共选取了地形、气候、岩土类型和人类活动等25个具体变量来代表影响因子。采用度量二分类、趋势分析、偏倚相关分析和最优参数地质探测器等方法对选取的变量进行综合分析。结果表明:①近20 a来,京津冀地区植被覆盖度总体呈下降趋势,平均下降幅度约为0.0024 a / a;北部和南部植被覆盖度较高,西部和中部植被覆盖度较低。28.73%的地区呈显著下降趋势(P<0.01),其中京津冀南部、东部和中部地区下降幅度最大。②植被覆盖度(Q>0.15)演变的主要驱动因子为自然因子,包括蒸散发、累积降水、土壤类型、地形和人类活动(如财政收入、人均GDP、夜间光照强度和人口密度)。这些因素被发现是相互作用的。对植被覆盖度的增强效应是非线性的,当考虑地表温度和蒸散发的联合作用时,植被覆盖度的增强效应是双线性的。其次是太阳辐射和ET的组合,其解释能力最高(Q>0.81)。地表温度与ET组合的植被覆盖度最高(Q>0.83),太阳辐射与ET组合的植被覆盖度次之(Q>0.81)。③蒸散量在572 ~ 772 mm之间,累积降水量在461 ~ 514 mm之间,辐射在1980 ~ 2030 W·m-2之间。当地表温度在5.5 ~ 12℃之间,平均气温在-0.902 ~ 3.74℃之间,海拔高度在1 560 ~ 2 180 m之间,地形类型为大起伏中山,土壤类型为淋溶土,植被类型为林地,植被覆盖度表现最好。研究结果可为区域政府制定正确的植被生态系统保护与恢复政策提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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