[1]Li Jinghao,Liu Shujun,Wang Zhijie.Multi-scenario Simulation of Spatiotemporal Changes of Land Use Pattern and Ecosystem Services in Yunnan-Guizhou Plateau Based on FLUS and InVEST Models[J].Research of Soil and Water Conservation,2024,31(03):287-298.[doi:10.13869/j.cnki.rswc.2024.03.004]
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Multi-scenario Simulation of Spatiotemporal Changes of Land Use Pattern and Ecosystem Services in Yunnan-Guizhou Plateau Based on FLUS and InVEST Models

References:
[1] Costanza R, Darge R, Groot R, et al. The value of the world's ecosystem services and natural capital[J]. Nature, 1997,387(15):253-260.
[2] Gong Y, Cai M, Yao L, et al. Assessing Changes in the Ecosystem Services Value in Response to Land-Use/Land-Cover Dynamics in Shanghai from 2000 to 2020[J]. International Journal of Environmental Research and Public Health, 2022,19(19):12080.
[3] Millennium ecosystem assessment(MA). Ecosystems and human well-being[M]. Washington D C:Island Press, 2005.
[4] Xie H, He Y, Choi Y, et al. Warning of negative effects of land-use changes on ecological security based on GIS[J]. Science of the Total Environment, 2020,704:135427.
[5] 任胤铭,刘小平,许晓聪,等.基于FLUS-InVEST模型的京津冀多情景土地利用变化模拟及其对生态系统服务功能的影响[J].生态学报,2023,43(11):4473-4487.
Ren Y M, Liu X P, Xu X C, et al. Multi-scenario simulation of land use change and its impact on ecosystem services in Beijing-Tianjin-Hebei region based on the FLUS-InVEST Model[J]. Acta Ecologica Sinica, 2023,43(11):4473-4487.
[6] 李静芝,杨丹.荆南三口地区生态系统服务价值时空特征分析[J].安全与环境学报,2022,22(6):3529-3540.
Li J Z, Yang D. Analysis of the spatial and temporal characteristics of ecological service value in the three outlets of southern Jingjiang River[J]. Journal of Safety and Environment, 2022,22(6):3529-3540.
[7] 王旭,马伯文,李丹,等.基于FLUS模型的湖北省生态空间多情景模拟预测[J].自然资源学报,2020,35(1):230-242.
Wang X, Ma B W, Li D, et al. Multi-scenario simulation and prediction of ecological space in Hubei province based on FLUS model[J]. Journal of Natural Resources, 2020,35(1):230-242.
[8] 谢高地,甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J].自然资源学报,2008,23(5):911-919.
Xie G D, Zhen L, Lu C X, et al. Expert knowledge based valuation method of ecosystem services in China model[J]. Journal of Natural Resources, 2008,23(5):911-919.
[9] 黄从红,杨军,张文娟.生态系统服务功能评估模型研究进展[J].生态学杂志,2013,32(12):3360-3367.
Huang C H, Yang J, Zhang W J. Development of ecosystem services evaluation models:Research progress[J]. Chinese Journal of Ecology, 2013,32(12):3360-3367.
[10] 孙欣欣,薛建辉,董丽娜.基于PLUS模型和InVEST模型的南京市生态系统碳储量时空变化与预测[J].生态与农村环境学报,2023,39(1):41-51.
Sun X X, Xue J H, Dong L N. Spatiotemporal change and prediction of carbon storage in Nanjing ecosystem based on PLUS model and InVEST model[J]. Journal of Ecology and Rural Environment, 2023,39(1):41-51.
[11] 王超越,郭先华,郭莉,等.基于FLUS-InVEST的西北地区土地利用变化及其对碳储量的影响:以呼包鄂榆城市群为例[J].生态环境学报,2022,31(8):1667-1679.
Wang C Y, Guo X H, Guo L, et al. Land use change and lts impact on carbon storage in northwest China based on FLUS-InVEST:A case study of Hu-Bao-Er-Yu urban agglomeration[J]. Ecology and Environmental Sciences, 2022,31(8):1667-1679.
[12] 邵壮,陈然,赵晶,等.基于FLUS与InVEST模型的北京市生态系统碳储量时空演变与预测[J].生态学报,2022,42(23):9456-9469.
Shao Z, Chen R, Zhao J, et al. Spatio-temporal evolution and prediction of carbon storage in Beijing's ecosystem based on FLUS and InVEST models[J]. Acta Ecologica Sinica, 2022,42(23):9456-9469.
[13] 高照忠,黄雅君,魏海霞,等.近30年云贵高原水蚀荒漠化遥感监测及影响因子时空分异规律[J].测绘通报,2021(10):117-122.
Gao Z Z, Huang Y J, Wei H X, et al. Remote sensing monitoring of water erosion desertification and spatio-temporal differentiation of its influencing factors in the Yunnan-Guizhou Plateau in recent 30 years[J]. Bulletin of Surveying and Mapping, 2021(10):117-122.
[14] 马东旭,殷晓洁,周斯怡,等.基于中国植被图的西南地区主要乔木物种丰富度格局[J].福建农林大学学报:自然科学版,2022,51(2):249-257.
Ma D X, Yin X J, Zhou S Y, et al. Pattern of main tree species richness in Southwest China based on Chinese vegetation map[J]. Journal of Fujian Agriculture and Forestry University:Natural Science Edition,2022,51(2):249-257.
[15] 李阳兵,谭秋,王世杰.喀斯特石漠化研究现状、问题分析与基本构架[J].中国水土保持科学,2005,3(3):27-34.
Li Y B, Tan Q, Wang S J. Current status, problems analysis and basic framework of karst rocky desertification research[J]. Science of Soil and Water Conservation, 2005,3(3):27-34.
[16] 张钰莹,孙美莹,杨荣金,等.西南地区土地利用变化对生态系统服务价值的影响[J].环境工程技术学报,2022,12(1):207-214.
Zhang Y Y, Sun M Y, Yang R J, et al. Impact of land-use change on ecosystem service value in Southwest China[J]. Journal of Environmental Engineering Technology, 2022,12(1):207-214.
[17] Tong X, Brandt M, Yue Y, et al. Increased vegetation growth and carbon stock in China karst via ecological engineering[J]. Nature Sustainability, 2018,1(1):44-50.
[18] Wang Z, Liu S, Li J, et al. Remarkable improvement of ecosystem service values promoted by land use/land cover changes on the Yungui Plateau of China during 2001—2020[J]. Ecological Indicators, 2022,142:109303.
[19] 许玉凤,陈宸,陈洪升.2001—2013年云贵高原土地利用动态变化分析[J].中国水土保持,2018(11):44-48.
Xu Y F, Chen C, Chen H S. Dynamic Variations of Land Use of Yunnan-Guizhou Plateau in the Period of 2001—2013[J]. Soil and Water Conservation in China, 2018(11):44-48.
[20] Ge W, Han J, Zhang D, et al. Divergent impacts of droughts on vegetation phenology and productivity in the Yungui Plateau, southwest China[J]. Ecological Indicators, 2021,127:107743.
[21] Tian Y, Wang S, Bai X, et al. Trade-offs among ecosystem services in a typical Karst watershed, SW China[J]. Science of the Total Environment, 2016,566:1297-1308.
[22] 付永虎,解文艳,刘俊青,等.基于GeoSOS-FLUS模型的江苏省生态福祉时空演变及其预测研究[J].长江流域资源与环境,2023,32(1):71-82.
Fu Y H, Xie W Y, Liu J Q, et al. Spatio-temporal pattern evolution and prediction of ecological well-being in Jiangsu province based on GeoSOS-FLUS model[J]. Resources and Environment in the Yangtze Basin, 2023,32(1):71-82.
[23] 王保盛,廖江福,祝薇,等.基于历史情景的FLUS模型邻域权重设置:以闽三角城市群2030年土地利用模拟为例[J].生态学报,2019,39(12):4284-4298.
Wang B S, Liao J F, Zhu W, et al. The weight of neighborhood setting of the FLUS model based on a historical scenario:A case study of land use simulation of urban agglomeration of the Golden Triangle of Southern Fuiian in 2030[J]. Acta Ecologica Sinica, 2019,39(12):4284-4298.
[24] 林沛锋,郑荣宝,洪晓,等.基于FLUS模型的土地利用空间布局多情景模拟研究:以广州市花都区为例[J].国土与自然资源研究,2019,179(2):7-13.
Lin P F, Zhen R B, Hong X, et al. Simulation of land use spatial layout based on FLUS model:A case study of Huadu District, Guangzhou[J]. Territory & Natural Resources Study, 2019,179(2):7-13.
[25] 张晓荣,李爱农,南希,等.基于FLUS模型和SD模型耦合的中巴经济走廊土地利用变化多情景模拟[J].地球信息科学学报,2020,22(12):2393-2409.
Zhang X R, Li A N, Nan X, et al. Multi-scenario simulation of land use change along China-Pakistan economic corridor through coupling FLUS model with SD model[J]. Journal of Geo-Information Science, 2020,22(12):2393-2409.
[26] 秦埼瑞,李雪梅,陈庆伟,等.基于FLUS模型的天山山区未来土地利用变化预估[J].干旱区研究,2019,36(5):1270-1279.
Qin Q R, Li X M, Chen Q W, et al. Estimation of future land use change in the Tianshan mountainous based on FLUS model[J]. Arid Zone Research, 2019,36(5):1270-1279.
[27] 金贵,郭柏枢,成金华,等.基于资源效率的国土空间布局及支撑体系框架[J].地理学报,2022,77(3):534-546.
Jin G, Guo B S, Cheng J H, et al. Layout optimization and support system of territorial space:An analysis framework based on resource efficiency[J]. Acta Geographica Sinica, 2022,77(3):534-546.
[28] 徐丽,何念鹏,于贵瑞.2010s中国陆地生态系统碳密度数据集[J].中国科学数据.中英文网络版,2019,4(1):90-96.
Xu L, He N P, Yu G R. A dataset of carbon density in Chinese terrestrial ecosystems(2010s)[J]. China Scientific Data, 2019,4(1):90-96.
[29] 伍娬.贵阳市景观格局与生态系统服务时空变化研究[D].贵阳:贵州大学,2021.
Wu W. Spatiotemporal changes of landscape pattern and ecosystem services in Guiyang City[D]. Guiyang:Guizhou University, 2021.
[30] 傅斌,徐佩,王玉宽,等.都江堰市水源涵养功能空间格局[J].生态学报,2013,33(3):789-797.
Fu B, Xu P, Wang Y K, et al. Spatial pattern of water retetnion in Dujiangyan county[J]. Acta Ecologica Sinica, 2013,33(3):789-797.
[31] 杨薇,靳宇弯,孙立鑫,等.基于生产可能性边界的黄河三角洲湿地生态系统服务权衡强度[J].自然资源学报,2019,34(12):2516-2528.
Yang W, Ji Y W, Sun L X, et al. Determining the intensity of the trade-offs among ecosystem services based on production-possibility frontiers:Model development and a case study[J]. Journal of Natural Resources, 2019,34(12):2516-2528.
[32] 王荣嘉,张建锋.植被缓冲带在水源地面源污染治理中的作用[J].土壤通报,2022,53(4):981-988.
Wang R J, Zhang J F. Roles of vegetation buffer zones on non-point source pollution control in water source areas[J]. Chinese Journal of Soil Science, 2022,53(4):981-988.
[33] 朱俊俊,高周冰,王君櫹,等.南京都市圈生态系统服务时空变化及权衡协同关系[J].水土保持研究,2023,30(3):383-394.
Zhu J J, Gao Z B, Wang J X, et al. Spatiotemporal changes and trade-off/synergy relationship of ecosystem services in Nanjing metropolitan area[J]. Research of Soil and Water Conservation, 2023,30(3):383-394.
[34] Ray D K, Duckles J M, Pijanowski B C. The impact of future land use scenarios on runoff volumes in the Muskegon River Watershed[J]. Environmental Management, 2010,46:351-366.
[35] 郝璐,孙阁.城市化对流域生态水文过程的影响研究综述[J].生态学报,2021,41(1):13-26.
Hao L, Sun G. Impacts of urbanization on watershed ecohydrological processes:progresses and perspectives[J]. Acta Ecologica Sinica, 2021,41(1):13-26.
[36] 陈田田,王钰茜,曾兴兰,等.西南地区生态系统服务关系特征及其与植被覆盖的约束效应[J].生态学报,2023,43(6):2253-2270.
Chen T T, Wang Y X, Zeng X L, et al. Characteristics and the constraint relationship between ecosystem services and vegetation coverage in the Southwest China[J]. Acta Ecologica Sinica, 2023,43(6):2253-2270.
[37] Babbar D, Areendran G, Sahana M, et al. Assessment and prediction of carbon sequestration using Markov chain and InVEST model in Sariska Tiger Reserve, India[J]. Journal of Cleaner Production, 2021,278:123333.
[38] Wei P, Chen S, Wu M, et al. Using the InVEST model to assess the impacts of climate and land use changes on water yield in the upstream regions of the Shule River Basin[J]. Water, 2021,13(9):1250.
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