College of Land Resources and Environment, Jiangxi Agricultural University, Nanchang 330045, China.
Key Laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province, Nanchang 330045, China.
Ying Yong Sheng Tai Xue Bao. 2023 Jan;34(1):196-202. doi: 10.13287/j.1001-9332.202301.027.
Precipitation and landscape pattern are two main factors affecting runoff process of the watershed. Understanding their runoff effect is of great significance to water resources management and ecological construction of watershed. Based on the data of precipitation, runoff, and land use from 1958 to 2020, we analyzed the characteristics of precipitation, landscape pattern and runoff in Lianshui watershed in red soil hilly area of southern Jiangxi Pro-vince, established the relationship between precipitation, landscape pattern and annual runoff, flood runoff, low runoff, respectively. The results showed that the annual precipitation, runoff and annual maximum one-day runoff in the watershed showed a non-significant downward trend during the study period, while the annual minimum one-day runoff showed a non-significant upward trend but with the largest inter-annual variation range. Forested land was the landscape type with the highest proportion in watershed, and other woodland had the most dramatic variation. At the landscape level, Shannon diversity index, Shannon evenness index, patch density and landscape shape index increased from 1.125, 0.541, 0.667 and 16.925 in 1980 to 1.348, 0.614, 0.731 and 18.172 in 2020, respectively, while the landscape contagion index decreased from 68.237 in 1980 to 64.293 in 2020. The overall landscape diversity, fragmentation degree and shape complexity of the watershed increased, the spatial distribution tended to be uniform, and the connectivity decreased. The correlation coefficients between precipitation and annual runoff, flood runoff, low runoff were 0.907, 0.594 and 0.558, respectively. At the class level, the reduction of cultivated land had a greater impact on annual runoff, flood runoff, and low runoff, while the overall change at the landscape level promoted a decrease in annual runoff and flood runoff and an increase in low runoff. The contribution rate of precipitation variation and landscape pattern evolution to the change of annual runoff, flood runoff ,and low runoff were 17.8%, 82.2% and 1.5%, 98.5% and -8.8%, 108.8%, respectively. Our results could provide theoretical refe-rence for landscape pattern allocation and comprehensive management of soil and water loss.
降水和景观格局是影响流域径流过程的两个主要因素。了解它们的径流效应对于水资源管理和流域生态建设具有重要意义。基于 1958 年至 2020 年的降水、径流和土地利用数据,我们分析了江西省南部红壤丘陵区涟水流域降水、景观格局和径流水文特征,建立了降水、景观格局与年径流、洪水径流、低流量的关系。结果表明,研究期间流域年降水量、径流量和年最大单日径流量呈非显著下降趋势,而年最小单日径流量呈非显著上升趋势,但年际变化幅度最大。林地是流域内面积比例最高的景观类型,其他林地变化最为剧烈。在景观水平上,香农多样性指数、香农均匀度指数、斑块密度和景观形状指数从 1980 年的 1.125、0.541、0.667 和 16.925 增加到 2020 年的 1.348、0.614、0.731 和 18.172,而景观蔓延指数从 1980 年的 68.237 下降到 2020 年的 64.293。流域整体景观多样性、破碎度和形状复杂性增加,空间分布趋于均匀,连通性降低。降水与年径流、洪水径流、低流量的相关系数分别为 0.907、0.594 和 0.558。在土地利用类型水平上,耕地减少对年径流、洪水径流和低流量的影响较大,而景观水平的整体变化则促进了年径流和洪水径流的减少,以及低流量的增加。降水变化和景观格局演变对年径流、洪水径流和低流量变化的贡献率分别为 17.8%、82.2%和 1.5%、98.5%和-8.8%、108.8%。我们的研究结果为景观格局配置和水土流失综合治理提供了理论参考。