1. 青海师范大学 地理科学学院,青海,西宁,810008
2. 高原科学与可持续发展研究院,青海,西宁,810008
纸质出版:2022
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李存秀, 刘峰贵, 周源涛, 等. 珠峰北麓朋曲流域土地覆被变化及未来情景模拟[J]. 水土保持通报, 2022,42(6):214-222.
Li Cunxiu, Liu Fenggui, Zhou Yuantao, et al. Land Cover Change and Future Scenario Modelling of Pengqu Basin at Northern Foot of Mount Qomolangma[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 214-222.
李存秀, 刘峰贵, 周源涛, 等. 珠峰北麓朋曲流域土地覆被变化及未来情景模拟[J]. 水土保持通报, 2022,42(6):214-222. DOI: 10.13961/j.cnki.stbctb.2022.06.027.
Li Cunxiu, Liu Fenggui, Zhou Yuantao, et al. Land Cover Change and Future Scenario Modelling of Pengqu Basin at Northern Foot of Mount Qomolangma[J]. Bulletin of Soiland Water Conservation, 2022, 42(6): 214-222. DOI: 10.13961/j.cnki.stbctb.2022.06.027.
[目的
]
模拟未来短、中远期珠峰北麓朋曲流域土地利用变化,为该流域的土地利用规划提供科学参考。 [方法
]
基于朋曲流域(珠峰北麓)2010-2020年的土地覆被数据,综合考虑人为和自然两大要素12项驱动因子,采用Markov-FLUS模型,对朋曲流域自由发展、耕地保护和生态保护3种未来情景下的土地覆被变化进行了模拟。 [结果
]
①2020年朋曲流域土地覆被实际情况与Markov-FLUS模型模拟情况的总体精度(OA)为90%,kappa系数为0.82,精确度较高,模型可用于该区未来情景模拟; ②2010-2020年朋曲流域5种土地覆被类型发生变化,其中,林地和草地的面积变化最为明显,林地面积增加778.16 km
2
,草地面积减少726.89 km
2
; ③朋曲流域未来情景的模拟结果显示:在自由发展、耕地保护、生态保护3种不同情景下,短期内草地和其他用地类型面积变化较大,中远期除草地、其他用地类型面积变化较大以外,林地面积变化开始增大;无论是短期还是中远期来看,耕地保护情景下耕地面积均呈持续减少趋势。 [结论
]
维持朋曲流域的可持续发展,必须强化落实耕地保护政策、注重耕地永续利用;生态保护情景下自然保护区内的植被类型相互转换受到限制,生物多样性得到有序协调发展。
[Objective] The land use change of the Pengqu basin of the northern footof Qomolangma in the near-and medium-term future was simulated in order to provide a scientific reference for land use planning in this area. [Methods] We used the Markov-FLUS model to simulate land cover changes based on land cover data of the Pengqu basin (at the northern foot of Mount Qomolangma) from 2010 to 2020. Three future simulation scenarios included free development
arable land conservation
and ecological protection in the Pengqu basin
and took 12 driving factors of human and natural factors into account. [Results] ① The overall accuracy between actual land cover in the Pengqu basin in 2020 and the simulated scenario from the Markov-FLUS model was 90% and the kappa coefficient was 0.82. The accuracy was considered to be high
and the model could be used to simulate future scenarios in this region; ② The five land cover types in the Pengqu basin changed from 2010 to 2020
with the most significant changes occurring in woodland and grassland areas. The woodland area increased by 778.16 km2 and the grassland area decreased by 726.89 km2; ③ The simulation results for the future scenarios of the Pengqu basin showed that under the free development
cultivated land protection
and ecological protection scenarios
the largest change in land cover area in the near-term was mainly concentrated in grassland and other land types
while the largest change in land cover area in the medium-term was mainly concentrated in grassland
forest land
and other land types. Regardless of the near-term or the medium-term future time period
the cultivated land area would continue to decrease under the scenario of cultivated land protection. [Conclusion] The implementation of cultivated land protection policy can further promote the sustainable development of the Pengqu basin. In the future
attention should be given to the development and protection of cultivated land in the Pengqu basin. If ecological types are not coordinated in protected areas
ecological diversity may be damaged under ecological system transformation.
陈伊多,杨庆媛.西藏自治区土地利用/覆被变化时空演变特征及驱动因素[J].水土保持学报,2022,36(05):173-180.DOI:10.13870/j.cnki.stbcxb.2022.05.023.
Yang Yu, Li Xiaoyun, Dong Wen, et al. Assessing China's human-environment relationship[J]. Journal of Geographical Sciences, 2019,29(8):1261-1283.
程钰,任建兰,徐成龙.生态文明视角下山东省人地关系演变趋势及其影响因素[J].中国人口·资源与环境,2015,25(11):121-127.
赵兴国,潘玉君,丁生,等.西藏人地关系研究[J].西藏研究,2010(5):104-111.
郭娜.珠峰自然保护区关键生态系统类型植被覆盖度动态变化研究[D].四川 成都:成都理工大学,2010.
付晶,高峻,李杰,等.珠穆朗玛峰保护地生态系统文化服务空间分布及评价[J].生态学报,2021,41(3):901-911.
张镱锂,李兰晖,丁明军,等.新世纪以来青藏高原绿度变化及动因[J].自然杂志,2017,39(3):173-178.
聂勇,刘林山,张镱锂,等.1982-2009年珠穆朗玛峰自然保护区植被指数变化[J].地理科学进展,2012,31(7):895-903.
阚瑷珂,王绪本,高志勇,等.2000-2007年珠峰自然保护区植被时空变化与驱动因子[J].生态环境学报,2010,19(6):1261-1271.
隋博洋.泛第三极土地利用变化驱动力与情景模拟[D].陕西 西安:西安科技大学,2021.
陆汝成,黄贤金,左天惠,等.基于CLUE-S和Markov复合模型的土地利用情景模拟研究:以江苏省环太湖地区为例[J].地理科学,2009,29(4):577-581.
马飞.珠峰自然保护区植被覆盖变化及沼泽湿地潜在退化风险评价[D].四川 成都:成都理工大学,2011.
宋福强,李卓卿,肖俞,等.西藏朋曲河流域淡水生态系统服务价值评估[J].西南大学学报(自然科学版),2018,40(9):142-149.
贺新军.青藏高原朋曲河流域耕地的扩张现状及其影响因素研究[D].重庆:西南大学,2020.
杨柳.气候变化和劳动力析出背景下青藏高原农牧民的耕地利用决策[D].重庆:西南大学,2019.
刘良云,张肖.2020年全球30 m地表覆盖精细分类产品V1.0.[M].2021-08-12.中国科学院空天信息创新研究院[传播机构],2021-08-23.21.86109/casearth.6123651428年58f70c2a51e49;http://hdl.pid21.cn/21.86109/casearth.6123651428年58f70c2a51e49.
Chen Zuoqi, Yu Bailang, Yang Chengshu, et al. An Extended time series (2000-2018) of global NPP (Ⅶ):RS-like nighttime light data from a cross-sensor calibration[J]. Earth System Science Data, 2021,13(3):889-906.
汤佳,胡希军,韦宝婧,等.基于FLUS模型的流域土地利用变化预测及水文响应评估[J].长江科学院院报,2022,39(4):63-69.
Liu Xiaoping, Liang Xun, Li Xia, et al. A future land use simulation model(FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J]. Landscape and Urban Planning, 2017,168:94-116.
Li X, Yeh A G O. Neural-network-based cellular automata for simulating multiple land use changes using GIS[J]. International Journal of Geographical Information Science, 2002,16(4):323-343.
张宝光.人工神经网络在遥感数字图像分类处理中的应用[J].国土资源遥感,1998(1):23-29.
苏迎庆,刘庚,赵景波,等.基于FLUS模型的汾河流域生态空间多情景模拟预测[J].干旱区研究,2021,38(4):1152-1161.
Chen Junfei, Yang Yang. SPI-based regional drought prediction using weighted Markov chain model[J]. Research Journal of Applied Sciences, Engineering and Technology, 2012,4(21):4293-4298.
Liang Xun, Liu Xiaoping, Li Dan, et al. Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model[J]. International Journal of Geographical Information Science, 2018,32(11):2294-2316.
王会,郭超艺.线性无量纲化方法对熵值法指标权重的影响研究[J].中国人口·资源与环境,2017,27(S2):95-98.
张世伟,魏璐瑶,金星星,等.基于FLUS-UGB的县域土地覆被模拟及城镇开发边界划定研究[J].地球信息科学学报,2020,22(9):1848-1859.
许晓聪,李冰洁,刘小平,等.全球2000-2015年30 m分辨率逐年土地覆盖制图[J].遥感学报,2021,25(9):1896-1916.
Luo GePing, Yin ChangYing, Chen Xi, et al. Combining system dy namic model and CLUE-S model to improve land use scenario analyses at regional scale:A case study of Sangong watershed in Xinjiang, China[J]. Ecological Complexity, 2010,7(2):198-207.
陈颖锋.珠穆朗玛峰自然保护区植被覆盖变化研究[D].四川 成都:成都理工大学,2012.
杨续超,张镱锂,张玮,等.珠穆朗玛峰地区近34年来气候变化[J].地理学报,2006,61(07):687-696.
王毅,李景吉,韩子钧,等.珠穆朗玛峰自然保护区湖泊动态及对区域气候变化的响应[J].冰川冻土,2018,40(2):378-387.
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