School of Land Engineering, Chang'an University, Xi'an 710064, China.
Xi'an International Science and Technology Cooperation Base for Land Science and Engineering, Xi'an 710064, China.
Ying Yong Sheng Tai Xue Bao. 2024 Jul 18;35(7):1887-1896. doi: 10.13287/j.1001-9332.202407.021.
Clarifying vegetation changes and the driving factors can provide references for ecological restoration and sustainable social development. We analyzed vegetation distribution and trend changes in Henan Province and its basin zoning (Haihe River basin zoning, Yellow River basin zoning, Huaihe River basin zoning, Yangtze River basin zoning), with fractional vegetation cover data from 2000 to 2020 based on the Google Earth Engine platform, and by combining Theil-Sen Median trend analysis, Mann-Kendall test, and Hurst index. We also utilized factor detection and factor interaction to explore the individual and mutual influences of natural and anthropogenic factors on vegetation at different scales. The results showed that the fractional vegetation cover (FVC) in Henan Province exhibited a distribution pattern of higher coverage in the south and lower in the north during the study period, predominantly characterized by moderate to high vegetation coverage. The Yangtze River basin zoning had the highest coverage. FVC in Henan Province and its zoning exhibited a consistent pattern of fluctuating upward trends, with all areas showing significant improvement. Particularly, the Yangtze River basin zoning had the largest area of improvement. According to the Hurst index, apart from the possibility of continued improvement in the Huaihe River basin zoning, other zoning would be likely to shift from improvement to degradation in the future. Vegetation changes in Henan Province and its zoning were the result of combined effects of anthropogenic and natural factors, with the influence of these factors changing over time and the dominant factors varying by region. Anthropogenic factors such as land use/cover type and nighttime lighting had a stronger impact on vegetation than natural factors like elevation, slope, and annual mean low temperature. The interaction between factors, particularly between anthropogenic and natural factors, exhibited a nonlinear enhancing pattern.
阐明植被变化及其驱动因素，可为生态恢复和可持续社会发展提供参考。我们利用 Google Earth Engine 平台上 2000 年至 2020 年的分维植被覆盖度数据，结合 Theil-Sen 中位数趋势分析、Mann-Kendall 检验和 Hurst 指数，分析了河南省及其流域分区（海河流域分区、黄河流域分区、淮河流域分区、长江流域分区）的植被分布和变化趋势。我们还利用因子探测和因子交互作用，探讨了自然和人为因素对不同尺度植被的单独和相互影响。结果表明，研究期间，河南省分维植被覆盖度（FVC）呈南高北低的分布格局，以中高植被覆盖度为主。长江流域分区的植被覆盖度最高。河南省及其分区的 FVC 呈波动上升趋势，各分区均呈显著增加趋势，其中长江流域分区增加面积最大。根据 Hurst 指数，除淮河流域分区未来可能继续改善外，其他分区未来可能由改善转为退化。河南省及其分区的植被变化是人为和自然因素综合作用的结果，这些因素的影响随时间而变化，且各分区的主导因素也不同。土地利用/覆被类型和夜间灯光等人为因素对植被的影响大于海拔、坡度和年平均最低气温等自然因素。各因子之间的相互作用，特别是人为因素和自然因素之间的相互作用，呈非线性增强模式。
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