1. 贵州师范大学 喀斯特研究院/地理与环境科学学院,贵州,贵阳,550001
2. 贵州省喀斯特山地生态环境国家重点实验室培育基地,贵州,贵阳,550001
3. 国家喀斯特石漠化防治工程技术研究中心,贵州,贵阳,550001
纸质出版:2023
移动端阅览
伍堂银, 周忠发, 张露, 等. 基于InVEST模型的南北盘江流域产水量时空变化研究[J]. 水土保持通报, 2023,43(3):129-138.
Wu Tangyin, Zhou Zhongfa, Zhang Lu, et al. Spatial-temporal Variation of Water Yield in Nanbei Panjiang River Basin Based on InVEST Model[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 129-138.
伍堂银, 周忠发, 张露, 等. 基于InVEST模型的南北盘江流域产水量时空变化研究[J]. 水土保持通报, 2023,43(3):129-138. DOI: 10.13961/j.cnki.stbctb.2023.03.017.
Wu Tangyin, Zhou Zhongfa, Zhang Lu, et al. Spatial-temporal Variation of Water Yield in Nanbei Panjiang River Basin Based on InVEST Model[J]. Bulletin of Soiland Water Conservation, 2023, 43(3): 129-138. DOI: 10.13961/j.cnki.stbctb.2023.03.017.
[目的] 研究南北盘江流域产水量的时空变化特征以及不同土地利用类型、土壤类型和地形之间的产水功能差异,以期为流域内水资源有效管理和生态修复提供科学参考。[方法] 基于InVEST模型定量评估了2005—2020年南北盘江流域产水量的时空变化特征、内部差异性及植被恢复对该地区产水功能的影响。[结果] 2005—2020年流域内的平均产水总量小幅波动,在空间上呈现东北部与中部高,西南部低的趋势,总体产水格局与降水量时空变化具有空间吻合性。在不考虑降雨量显著变化的情况下,耕地与草地面积减少是导致流域内产水总量呈现出小幅波动下降趋势的主要原因。各土地利用类型中产水能力最强的类型为建设用地,其次分别为裸地、耕地和草地。常绿针叶林与灌林地的产水能力较弱。流域内的产水能力随海拔升高而逐渐降低,土壤以产水能力较强的黄壤与红壤为主。该流域产水高值区主要集中于低、中海拔,以黄壤与红壤为主的东北部与中部区域;低值区主要集中于高、较高海拔,分布着大量石灰(岩)土和紫色土的西南部。[结论] 该流域产水量空间格局有一定变化,其产水高值区有向东、东北偏移的趋势。土地利用类型、气象因子、土壤质地、地形等因素对产水功能空间异质性有重要影响。
[Objective] The temporal and spatial variation characteristics of water yield and differences in the water yield function for different land use types
soil types
and topography in the Nanbei Panjiang River basin were analyzed in order to provide a scientific reference for the effective management of water resources and ecological restoration in the basin.[Methods] The spatial and temporal variation characteristics
internal differences
and the influence of vegetation restoration on the water yield function in the Nanbei Panjiang River basin from 2005 to 2020 were quantitatively evaluated using the InVEST model.[Results] The average total water yield in the basin fluctuated slightly from 2005 to 2020
showing a trend of higher in the northeast and central regions and lower in the southwest. The overall water yield pattern was spatially consistent with the spatial and temporal changes of precipitation. Without considering the significant change of rainfall
the decrease of cultivated land and grassland areas was the main reason for the slight fluctuation and downward trend of total water yield in the basin. The land use type with the strongest water yield capacity was construction land
followed by bare land
cultivated land
and grassland. The water yield capacities of evergreen coniferous forest and shrub land were weak. The water yield capacity in the basin gradually decreased with increasing altitude
and the soils with strong water yield capacity were mainly yellow soil and red soil. The high water yield areas in the basin were mainly concentrated in the northeast and central regions having low and medium altitudes
and were mainly yellow soil and red soil. The low value area was mainly concentrated in the southwest region having high and higher altitudes with large amounts of lime (rock) soil and purple soil.[Conclusion] The spatial pattern of water yield in the basin exhibited some changes
and the high value area of water yield had a tendency to shift to the east and northeast. Land use type
meteorological factors
soil texture
topography
and other factors have an important impact on the spatial heterogeneity of the water yield function.
Song Fengjiao, Wang Shijie, Bai Xiaoyong, et al. A new indicator for global food security assessment:Harvested area rather than cropland area[J]. Chinese Geographical Science, 2022,32(2):204-217.
Turner R K, Daily G C. The ecosystem services framework and natural capital conservation[J].Environmental and Resource Economics, 2008,39(1):25-35.
Finlayson M, Cruz R D, Davidson N, et al. Millennium ecosystem assessment:ecosystems and human well-being:wetlands and water synthesis[J]. Data Fusion Concepts & Ideas, 2005,656(1):87-98.
吕一河,胡健,孙飞翔,等.水源涵养与水文调节:和而不同的陆地生态系统水文服务[J].生态学报,2015,35(15):5191-5196.
Bennett E M,Peterson G D,Gordon L J.Understanding relationships among multiple ecosystem services[J].Ecology Letters, 2009,12(12):1394-1404.
张彪,李文华,谢高地,等.北京市森林生态系统的水源涵养功能[J].生态学报,2008,28(11):5619-5624.
辛琨,肖笃宁.盘锦地区湿地生态系统服务功能价值估算[J].生态学报,2002,22(8):1345-1349.
Chen Fei, Bai Xiaoyong, Liu Fang, et al. Analysis long-term and spatial changes of forest cover in typical karst areas of China[J]. Land, 2022,11(8):1349.
Li Chaojun, Bai Xiaoyong, Tan Qiu, et al. High-resolution mapping of the global silicate weathering carbon sink and its long-term changes[J]. Global Change Biology, 2022,28(14):4377-4394.
Liu Min, Bai Xiaoyong, Tan Qiu, et al. Climate change enhances the positive contribution of human activities to vegetation restoration in China[J]. Geocarto International, 2022,37(26):13479-13499.
谢余初,巩杰,齐姗姗,等.基于InVEST模型的白龙江流域水源供给服务时空分异[J].自然资源学报,2017,32(8):1337-1347.
张灿强,李文华,张彪,等.基于土壤动态蓄水的森林水源涵养能力计量及其空间差异[J].自然资源学报,2012,27(4):697-704.
刘璐璐,曹巍,邵全琴.南北盘江森林生态系统水源涵养功能评价[J].地理科学,2016,36(4):603-611.
周佳雯,高吉喜,高志球,等.森林生态系统水源涵养服务功能解析[J].生态学报,2018,38(5):1679-1686.
Moreira M, Fonseca C, Vergílio M, et al. Spatial assessment of habitat conservation status in a Macaronesian Island based on the InVEST model:A case study of Pico Island (Azores,Portugal)[J]. Land Use Policy, 2018,78:637-649.
Leh M D K, Matlock M D, Cummings E C, et al. Quantifying and mapping multiple ecosystem services change in West Africa[J]. Agriculture,Ecosystems & Environment, 2013,165:6-18.
Marquès M, Bangash R F, Kumar V, et al. The impact of climate change on water provision under a low flow regime:A case study of the ecosystems services in the Francoli River basin[J]. Journal of Hazardous Materials, 2013,263:224-232.
Bastola, Jeong Y J, Hyup S. Water yield estimation of the Bagmati Basin of Nepal using GIS based InVEST model[J]. Journal of Korea Water Resources Association, 2019,52(9):637-645.
赵筱青,石小倩,李驭豪,等.滇东南喀斯特山区生态系统服务时空格局及功能分区[J].地理学报,2022,77(3):736-756.
包玉斌,李婷,柳辉,等.基于InVEST模型的陕北黄土高原水源涵养功能时空变化[J].地理研究,2016,35(4):664-676.
张福平,李肖娟,冯起,等.基于InVEST模型的黑河流域上游水源涵养量[J].中国沙漠,2018,38(6):1321-1329.
潘韬,吴绍洪,戴尔阜,等.基于InVEST模型的三江源区生态系统水源供给服务时空变化[J].应用生态学报,2013,24(1):183-189.
戴尔阜,王亚慧.横断山区产水服务空间异质性及归因分析[J].地理学报,2020,75(3):607-619.
陈文贵.南北盘江地区水土流失危害与防治对策[J].水土保持研究,2000,7(3):101-103.
刘璐璐,曹巍,贺添,等.南北盘江流域土壤侵蚀时空动态变化及影响因素分析[J].中国水土保持科学,2019,17(6):69-77.
安和平,周家维.贵州南、北盘江流域土壤侵蚀现状及防治对策[J].水土保持学报,1994,8(3):36-45.
韩会庆,罗绪强,游仁龙,等.基于InVEST模型的贵州省珠江流域水质净化功能分析[J].南京林业大学学报(自然科学版),2016,40(5):87-92.
赵良杰,王莹,周妍,等.基于SWAT模型的珠江流域地下水资源评价研究[J/OL].地球科学. https://kns.cnki.net/kcms/detail/42.1874.P.20220119.1634.006.html
周雪欣,罗昊.基于GIS与RS技术的北盘江流域生态环境质量评价研究[J].环境科学与管理,2018,43(7):178-182.
窦小东,彭启洋,张万诚,等.基于情景分析的LUCC和气候变化对南盘江流域径流的影响[J].灾害学,2020,35(1):84-89.
王亚茹.SWAT模型优化与土地利用变化的径流效应研究:以南北盘江流域为例[D].北京:中国地质大学(北京),2020.
马阔,吴起鑫,韩贵琳,等.南、北盘江流域枯水期水化学特征及离子来源分析[J].中国岩溶,2018,37(2):192-202.
顾铮鸣,金晓斌,沈春竹,等.近15 a江苏省水源涵养功能时空变化与影响因素探析[J].长江流域资源与环境,2018,27(11):2453-2462.
孙艳伟,李加林,马仁锋,等.于桥水库流域水源供给服务的空间分布格局[J].水资源与水工程学报,2015,26(6):1-6.
臧文斌,阮本清,李景刚,等.基于TRMM降雨数据的西南地区特大气象干旱分析[J].中国水利水电科学研究院学报,2010,8(2):97-106.
贺敏,宋立生,王展鹏,等.基于多源数据的干旱监测指数对比研究:以西南地区为例[J].自然资源学报,2018,33(7):1257-1269.
莫旭昱,张勇,秦雨,等.南北盘江流域降水的时空变化分析[J].云南地理环境研究,2012,24(1):7-11.
王晓峰,符鑫鑫,楚冰洋,等.秦岭生态屏障产水服务时空演变特征及驱动要素[J].自然资源学报,2021,36(10):2507-2521.
0
浏览量
588
下载量
9
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621