Abstract：[Background] The carbon cycle and greenhouse effect of terrestrial ecosystem have always been the focus of global change research in geoscience, ecology and environmental sciences. Land use change may reflect human land use patterns in an area and plays an important role in spatial soil and water conservation. Regional land use change is the main reason for the change in ecosystem carbon storage, which affects the carbon source and carbon sink effect.[Methods] This paper took Puding county in central Guizhou as the research area, based on the carbon storage and sequestration module of InVEST model and ArcGIS technology, combined with land use data and carbon density data, the carbon storage and its spatial pattern in Puding county of central Guizhou province from 1973 to 2020 were estimated and analyzed. Based on the land use type carbon storage transfer matrix, the influence of land use changes on the spatial and temporal distribution of carbon storage was explored.[Results] 1) The carbon storage of terrestrial ecosystem in Puding county in 1973, 1989, 2003, 2010 and 2020 were 15.868×106 t, 14.196×106 t, 15.022×106 t, 15.834×106 t and 16.529×106 t, respectively, and the carbon storages of ecosystems decreased first and then increased, with an overall trend of increase and a cumulative increase of 661 000 t, indicating that the ecological restoration project in Puding county has achieved remarkable results and the ecosystem service functions had been significantly improved. 2)The spatial distribution showed a significant increase in the northeast and southwest of Puding county, and a significant decrease in the south-central Puding county. The northeast and southwest of the Puding county maintained a stable trend of increasing carbon storage year by year from 1989 to 2020, while the carbon loss in the middle-south of Puding county was significant from 2010 to 2020, and the highest value areas of carbon storage were distributed in the southwest and northeast of Puding county. 3) Dry land, grassland, paddy field and other woodland were converted into shrubland. Dry land, grassland and other woodland into forest land, and the conversion of dry land to paddy field were the main reasons for the increase of carbon storage in the ecosystem of Puding county and sustainable ecological development, indicating that the increase of shrubland, forest land and paddy field in Puding county is beneficial to carbon sink.[Conclusions] The overall carbon reserves of the ecosystem in Puding county have increased, showing the increasing carbon sequestration capacity in the northeast and southwest of Puding county and the decreasing carbon sequestration capacity in the central and southern region of Puding county. In the future, the carbon storage capacity in the south-central Puding county should be emphasized to improve the regional ecosystem quality and soil and water conservation function.
李月, 罗红芬. 基于InVEST模型的黔中普定县域生态系统碳储量时空变化[J]. 中国水土保持科学, 2023, 21(4): 28-35.
LI Yue, LUO Hongfen. Spatio-temporal changes of ecosystem carbon storage in Puding county of central Guizhou province based on InVEST model. SSWC, 2023, 21(4): 28-35.
易兴松,戴全厚,严友进,等.西南喀斯特地区耕地撂荒生态环境效应研究进展[J].生态学报,2023,43(3):925. YI Xingsong, DAI Quanhou, YAN Youjin, et al. Research progress on the ecological environment effect of farmland abandonment in karst areas of Southwest China[J]. Acta Ecologica Sinica,2023,43(3):925.
[2]
邹航,宋娅丽,王克勤,等.开采对矿区天然森林生态系统碳损失量的影响[J].中国水土保持科学,2022,20(2):124. ZOU Hang, SONG Yali, WANG Keqin, et al. Effects of mining on the carbon loss of natural forest ecosystem in mining area[J]. Science of Soil and Water Conservation,2022,20(2):124.
[3]
杨元合,石岳,孙文娟,等.中国及全球陆地生态系统碳源汇特征及其对碳中和的贡献[J].中国科学:生命科学,2022,52(4):534. YANG Yuanhe, SHI Yue, SUN Wenjuan, et al. Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality[J]. Scientia Sinica (Vitae),2022,52(4):534.
[4]
XIANG Mingshun, WANG Chunjian, TAN Yuxiang, et al. Spatio-temporal evolution and driving factors of carbon storage in the western Sichuan Plateau[J]. Scientific Reports.2022,12(1):8114.
[5]
NELSON E, MENDOZA G, REGETZ J, et al. Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradcoffs at landscape scales[J]. Frontiers in Ecology and the Environment,2009,7(1):4.
[6]
CUI Fengqi, WANG Bojie, ZHANG Qin, et al. Climate change versus land-use change-What affects the ecosystem services more in the forest-steppe ecotone[J]. Science of the Total Environment,2021,759:143525.
[7]
ZHU Wenbo, ZHANG Jingjing, CUI Yaoping, et al. Ecosystem carbon storage under different scenarios of land use change in Qihe catchment, China[J]. Journal of Geographical Sciences,2020,30(9):1507.
[8]
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. REN Xijin, PEI Tingting, CHEN Ying, et al. Impact of land use change on carbon storage in Gansu province based on carbon density correction[J]. Ecological Science, 2021,40(4):66.
[9]
赵一行,高润艺,李海东,等.江阴市土地利用对碳储量的影响及优化研究[J].生态与农村环境学报,2022,38(10):1290. ZHAO Yixing, GAO Runyi, LI Haidong, et al. Study on carbon storage change and optimization of land use in Jiangyin city[J]. Journal of Ecology and Rural Environment,2022,38(10):1290.
[10]
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. ZHU Wenbo, ZHANG Jingjing, CUI Yaoping, et al. Assessment of territorial ecosystem carbon storage based on land use change scenario:A case study in Qihe River Basin[J]. Acta Geographica Sinica,2019,74(3):446.
[11]
赫晓慧,徐雅婷,范学峰,等.中原城市群区域碳储量的时空变化和预测研究[J].中国环境科学,2022,42(6):2965. HE Xiaohui, XU Yating, FAN Xuefeng, et al. Temporal and spatial variation and prediction of regional carbon storage in Zhongyuan urban agglomeration[J]. China Environmental Science,2022,42(6):2965.
[12]
王毅,郭跃.喀斯特地貌区植被覆盖与地形因子的空间关系分析:以贵州普定县为例[J].长江流域资源与环境,2018,27(1):157. WANG Yi, GUO Yue. Analysis of spatial correlation between vegetation coverage and terrain factors in karst landform:Taking Puding area in Guizhou for example[J]. Resources and Environment in the Yangtze Basin,2018,27(1):157.
[13]
邹文涛,何友均,叶兵,等.基于InVEST模型的钱江源国家公园生态系统碳储量研究[J].中南林业科技大学学报,2021,41(3):120. ZOU Wentao, HE Youjun, YE Bing, et al. Study on carbon storage of ecosystem in Qianjiangyuan national park based on InVEST model[J]. Journal of Central South University of Forestry and Technology,2021,41(3):120.
[14]
李默然,丁贵杰.贵州黔东南主要森林类型碳储量研究[J].中南林业科技大学学报,2013,33(7):119. LI Moran, DING Guijie. Study on carbon storage of main forest types in southeast part of Guizhou province[J]. Journal of Central South University of Forestry and Technology,2013,33(7):119.
[15]
黄从红.基于InVEST模型的生态系统服务功能研究:以四川宝兴县和北京门头沟区为例[D].北京:北京林业大学,2014:11. HUANG Conghong. Ecosystem services evaluation based on the InVEST model:Case studies in Baoxing county, Sichuan and Mentougou district, Beijing[D]. Beijing:Beijing Forestry University,2014:11.
[16]
李义平.基于地表覆被变化的黔东南碳储量时空动态变化研究[D].贵阳:贵州大学,2020:40. LI Yiping. Spatialtemporal dynamic change of carbon storage in Southeast Guizhou based on surface cover change[D]. Guiyang:Guizhou University,2020:40.
[17]
解宪丽,孙波,周慧珍,等.中国土壤有机碳密度和储量的估算与空间分布分析[J].土壤学报,2004,41(1):35. XIE Xianli, SUN Bo, ZHOU Huizhen, et al. Organic carbon density and storage in soils of China and spatial analysis[J]. Acta Pedologica Sinica,2004,41(1):35.
[18]
李克让,王绍强,曹明奎.中国植被和土壤碳贮量[J].中国科学(地球科学),2003,33(1):72. LI Kerang, WANG Shaoqiang, CAO Mingkui. Vegetation and soil carbon storage in China[J]. Science in China (Series D), 2003,33(1):72.
[19]
阿曼妮萨·库尔班,满苏尔·沙比提,艾克旦·依萨克,等.近19年新疆阿克苏河流域耕地利用时空演变特征[J].中国水土保持科学,2022,20(3):72. Amannisa KUERBAN, Mansuer SHABITI, Aikedan YISAKE, et al. Spatiotemporal evolution of arable land use in Aksu River Basin, Xinjiang in recent 19 years[J]. Science of Soil and Water Conservation, 2022,20(3):72.
[20]
秦罗义,白晓永,王世杰,等.近40年来贵州高原典型区土地利用变化及驱动机制[J].山地学报,2015,33(5):619. QIN Luoyi, BAI Xiaoyong, WANG Shijie, et al. History of land use change and driving mechanism of typical Guizhou Plateau region during 40 years[J]. Mountain Research,2015,33(5):619.
2023, Vol. 21 
