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昆明理工大学 国土资源工程学院,云南,昆明,650093
Published:2023
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LiJun, Yang Dehong, Wu Fengzhen, et al. Dynamic Simulation of Land Use Changes and Assessment of Carbon Storage in Kunming City Based on PLUS and InVEST Models[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 378-387.
LiJun, Yang Dehong, Wu Fengzhen, et al. Dynamic Simulation of Land Use Changes and Assessment of Carbon Storage in Kunming City Based on PLUS and InVEST Models[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 378-387. DOI: 10.13961/j.cnki.stbctb.20230220.009.
[目的
]
评估不同情景下的土地利用变化与碳储量变化,为优化生态服务与可持续性发展提供科学依据。[方法
]
基于PLUS模型与InVEST模型,模拟和预测不同情景下的土地利用变化与碳储量。[结果
]
①在自然发展与生态保护情景下,土地利用变化相似,耕地、草地、水域减少,建设用地急剧扩张,其中建设用地在自然发展情景下扩张更快,变化率达27.70%;在耕地保护情景下,土地利用变化与其他两种情景不同,这是由于林地面积的减少与建设用地的迅速扩张造成的; ②昆明市2000,2010,2020年的碳储量分别为3.37×10
8
,3.34×10
8
,3.28×10
8
t,呈现逐年下降的趋势。到2030年,耕地保护与生态保护相较于自然发展情景碳储量较高,说明采取保护措施,能有效控制碳储量的减少; ③土地利用变化导致碳储量减少9.15×10
6
t,土地利用变化与碳储量变化呈现高度一致性。[结论
]
落实耕地保护、生态保护政策,控制建设用地向耕地、林地的扩张,优化土地利用结构,有利于减缓区域碳储量损失。
[Objective] Changes in land use and carbon stocks under different scenarios were evaluated to provide a scientific basis for optimizing ecological services and sustainable development. [Methods] Changes in land use and carbon storage under different scenarios were simulated and extrapolated by comprehensively using the PLUS and InVEST models. [Results] ① Similar land use changes were observed for both the natural evolution and ecological protection scenarios. Areas of farmland
grassland
and water decreased over time. There was a rapid expansion of construction land. The rate of construction land expansion was much higher for the natural evolution scenario (27.70%). Under the farmland protection scenario
changes in land use were different from those in the other two scenarios because of a decrease in woodland area and a rapid expansion in construction land area. ② Carbon storage in Kunming City decreased over time
with 3.37×108 t in 2000
3.34×108 t in 2010
and 3.28×108 t in 2020. By 2030. The carbon storage under the farmland protection and ecological protection scenarios will be relatively more than that under the natural evolution scenario. Adopting protective measures can effectively control the reduction in carbon storage; ③ The decrease in carbon storage caused by land use changes was 9.15×106 t
and there was high consistency between land use changes and carbon storage changes. [Conclusion] Implementing a policy of farmland and ecological protection
limiting the expansion of construction land from
farmland and woodland
and optimizing land use structure will slow the loss of regional carbon storage.
Udara Willhelm Abeydeera L H, Wadu Mesthrige J, Samarasinghalage T I. Global research on carbon emissions: A scientometric review [J]. Sustainability, 2019,11(14):3972.
张燕,师学义,唐倩.不同土地利用情景下汾河上游地区碳储量评估[J].生态学报,2021,41(1):360-373.
赵昕月,董世魁,杨明岳,等.基于扰沌模型的青藏高原放牧社会—生态系统分析[J].自然资源学报,2021,36(8):2125-2138.
Kauffman J B, Adame M F, Arifanti V B, et al. Total ecosystem carbon stocks of mangroves across broad global environmental and physical gradients [J]. Ecological Monographs, 2020,90(2):e01415.
张海凤,崔桂善.土地利用/覆盖类型的变化对陆地生态系统碳收支的影响[J].中国资源综合利用,2019,37(1):176-179.
白娥,薛冰.土地利用与土地覆盖变化对生态系统的影响[J].植物生态学报,2020,44(5):543-552.
Tian Lei, Tao Yu, Fu Wenxue, et al. Dynamic simulation of land use/cover change and assessment of forest ecosystem carbon storage under climate change scenarios in Guangdong Province, China [J]. Remote Sensing, 2022,14(10):2330.
de B Richter D, Houghton R. Gross CO
2
fluxes from land-use change: Implications for reducing global emissions and increasing sinks [J]. Carbon Management, 2011,2(1):41-47.
曹祺文,顾朝林,管卫华.基于土地利用的中国城镇化SD模型与模拟[J].自然资源学报,2021,36(4):1062-1084.
李世锋,洪增林,薛旭平,等.基于Logistic-CA-Markov耦合模型的彬州市LUCC多情景模拟[J].水土保持研究,2022,29(4):292-299.
Yang X, Chen R, Zheng X Q. Simulating land use change by integrating ANN-CA model and landscape pattern indices [J]. Geomatics, Natural Hazards and Risk, 2016,7(3):918-932.
高周冰,王晓瑞,隋雪艳,等.基于FLUS和InVEST模型的南京市生境质量多情景预测[J].农业资源与环境学报,2022,39(5):1001-1013.
Jin Qingwen, Guang Liu, Li Lei, et al. Land use scenarios simulation based on the CLUE-S model of the Lijiang River Basin in Guilin, China [J]. IOP Conference Series Earth and Environmental Science, 2016,46(1):012051.
许小亮,李鑫,肖长江,等.基于CLUE-S模型的不同情景下区域土地利用布局优化[J].生态学报,2016,36(17):5401-5410.
Liang Xun, Guan Qingfeng, Clarke K C, et al. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China [J]. Computers, Environment and Urban Systems, 2021,85:101569.
胡丰,张艳,郭宇,等.基于PLUS和InVEST模型的渭河流域土地利用与生境质量时空变化及预测[J].干旱区地理,2022,45(4):1125-1136.
王佳楠,张志.基于Markov-PLUS模型的柴北缘土地利用变化及模拟分析[J].西北林学院学报,2022,37(03):139-148,179.
陆羽,黄秋昊,赵琪琪,等.基于InVEST与CARS的生态空间分区与未来预测研究[J].地理信息世界,2021,28(3):15-19.
杨潋威,赵娟,朱家田,等.基于PLUS和InVEST模型的西安市生态系统碳储量时空变化与预测[J].自然资源遥感,2022,34(04):175-182.
李安林,周艳,唐丽毅,等.怒江州土地利用模拟及生态系统服务价值评估:基于PLUS模型的多情景分析[J].中国农业资源与区划:1-12.
Gao Lina, Tao Fei, Liu Runrui, et al. Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: A case study of Nanjing [J]. Sustainable Cities and Society, 2022,85:104055.
李姣,汪杰,李朗,等.洞庭湖生态经济区土地利用变化对碳储量的影响[J].生态学杂志,2022,41(6):1156-1165.
赵俊芳,曹云,马建勇,等.基于遥感和FORCCHN的中国森林生态系统NPP及生态服务功能评估[J].生态环境学报,2018,27(9):1585-1592.
Zhao Mingwei, Yue Tianxiang, Zhao Na, et al. Com-bining LPJ-GUESS and HASM to simulate the spatial distribution of forest vegetation carbon stock in China [J]. Journal of Geographical Sciences, 2014,24(2):249-268.
张平平,李艳红,殷浩然,等.中国南北过渡带生态系统碳储量时空变化及动态模拟[J].自然资源学报,2022,37(5):1183-1197.
朱文博,张静静,崔耀平,等.基于土地利用变化情景的生态系统碳储量评估: 以太行山淇河流域为例[J].地理学报,2019,74(3):446-459.
刘洋,张军,周冬梅,等.基于InVEST模型的疏勒河流域碳储量时空变化研究[J].生态学报,2021,41(10):4052-4065.
Mendoza-Ponce A, Corona-Núñez R, Kraxner F, et al. Identifying effects of land use cover changes and climate change on terrestrial ecosystems and carbon stocks in Mexico [J]. Global Environmental Change, 2018,53:12-23.
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.
杨芝歌,周彬,余新晓,等.北京山区生物多样性分析与碳储量评估[J].水土保持通报,2012,32(3):42-46.
张薇,刘淼,戚与珊.基于CLUE-S模型的昆明市域土地利用预案模拟[J].生态学杂志,2014,33(6):1655-1662.
陈理庭,蔡海生,张婷,等.基于Markov-FLUS模型的饶河流域土地利用多情景模拟分析[J].生态学报,2022,42(10):3947-3958.
刘强,杨众养,陈毅青,等.基于CA-Markov多情景模拟的海南岛土地利用变化及其生态环境效应[J].生态环境学报,2021,30(7):1522-1531.
杨朔,苏昊,赵国平.基于PLUS模型的城市生态系统服务价值多情景模拟: 以汉中市为例[J].干旱区资源与环境,2022,36(10):86-95.
喇蕗梦,勾蒙蒙,李乐,等.三峡库区生态系统服务权衡时空动态与情景模拟: 以秭归县为例[J].生态与农村环境学报,2021,37(11):1368-1377.
Li Chen, Wu Yingmei, Gao Binpin, et al. Multi-scenario simulation of ecosystem service value for optimization of land use in the Sichuan-Yunnan ecological barrier, China [J]. Ecological Indicators, 2021,132:108328.
Zhai Han, Lv Chaoqun, Liu Wanzeng, et al. Understanding spatio-temporal patterns of land use/land cover change under urbanization in Wuhan, China,2000—2019[J]. Remote Sensing, 2021,13(16):3331.
李代超,卢嘉奇,谢晓苇,等.碳中和视角下基于主体功能区分类约束的国土空间分区优化模拟:以福建省为例[J].生态学报,2022,(24):1-16.
Lin Zhiqiang, Peng Shuangyun. Comparison of multimodel simulations of land use and land cover change considering integrated constraints: A case study of the Fuxian Lake basin [J]. Ecological Indicators, 2022,142:109254.
李克让,王绍强,曹明奎.中国植被和土壤碳贮量[J].中国科学(D辑: 地球科学),2003,33(1):72-80.
解宪丽,孙波,周慧珍,等.不同植被下中国土壤有机碳的储量与影响因子[J].土壤学报,2004,41(5):687-699.
陈利军,刘高焕,励惠国.中国植被净第一性生产力遥感动态监测[J].遥感学报,2002,6(2):129-135.
Tang Xuli, Zhao Xia, Bai Yongfei, et al. Carbon pools in China’s terrestrial ecosystems: New estimates based on an intensive field survey [J]. PNAS, 2018,115(16):4021-4026.
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,2019,4(1):90-96.
包承宇,曾和平,张梦妍,等.云南省土壤有机碳储量估算及空间分布[J].水土保持通报,2014,34(6):260-266.
汤浩藩,许彦红,艾建林.云南省森林植被碳储量和碳密度及其空间分布格局[J].林业资源管理,2019(5):37-43.
郭晓敏,揣小伟,张梅,等.扬子江城市群土地利用时空变化及其对陆地生态系统碳储量的影响[J].长江流域资源与环境,2019,28(2):269-280.
任玺锦,裴婷婷,陈英,等.基于碳密度修正的甘肃省土地利用变化对碳储量的影响[J].生态科学,2021,40(4):66-74.
Chen Dima, Lan Zhichun, Hu Shuijin, et al. Effects of nitrogen enrichment on belowground communities in grassland: Relative role of soil nitrogen availability vs. soil acidification [J]. Soil Biology and Biochemistry, 2015,89:99-108.
唐睿,彭开丽.土地利用变化对区域陆地碳储量的影响研究综述[J].江苏农业科学,2018,46(19):5-11.
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