[1] Abreham B A, Eyasu E, Teshome S et al., 2020. Land use/land cover change effect on soil erosion and sediment delivery in the Winike watershed, Omo Gibe Basin, Ethiopia. Science of The Total Environment, 728: 138776. doi:  10.1016/j.scitotenv.2020.138776
[2] Alam S A, Starr M, Clark B J F, 2013. Tree biomass and soil organic carbon densities across the Sudanese woodland savannah: a regional carbon sequestration study. Journal of Arid Environments, 89: 67–76. doi:  10.1016/j.jaridenv.2012.10.002
[3] Bai Y, Wong C P, Jiang B et al., 2018. Developing China’s ecological redline policy using ecosystem services assessments for land use planning. Nature Communications, 9: 3034. doi:  10.1038/s41467-018-05306-1
[4] Carter J G, 2018. Urban climate change adaptation: exploring the implications of future land cover scenarios. Cities, 77: 73–80. doi:  10.1016/j.cities.2018.01.014
[5] Chen Bingfei, 2020. Study on Land Use Change Simulation and Land Use Structure Optimization in Wanzhou District Based on FLUS Model. Chongqing: Southwest University. (in Chinese)
[6] Chen Guangshui, Yang Yusheng, Xie Jinsheng et al., 2007. Total belowground carbon allocation in China’s forests. Acta Ecologica Sinica, 27: 5148–5157. (in Chinese)
[7] Chen Kexin, Tao Weihua, Fang Xiaoli et al., 2022. Carbon neutrality assessment and planning application path in territorial spatial planning. Planners, 38(5): 134–141. (in Chinese)
[8] Chen L, Sun Y, Saeed S, 2018. Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques: a case study of a hilly area, Jiangle, China. PLoS ONE, 13: e0200493. doi:  10.1371/journal.pone.0200493
[9] Chen Lijun, Liu Gaohuan, Li Huiguo, 2002. Remote sensing dynamic monitoring of net primary productivity of vegetation in China. Journal of Remote Sensing, 6: 129–136. (in Chinese)
[10] Chu L, Zhang X, Wang T et al., 2018. Spatial-temporal evolution and prediction of urban landscape pattern and habitat quality based on CA-Markov and InVEST model. Chinese Journal of Applied Ecology, 29(12): 4106–4118. doi:  10.13287/j.1001-9332.201812.013
[11] Chuai X H, Huang X J, Lai L et al., 2013. Land use structure optimization based on carbon storage in several regional terrestrial ecosystems across China. Environmental Science and Policy, 25: 50–61. doi:  10.1016/j.envsci.2012.05.005
[12] Czech R, Zabochnicka-Świątek M, Świątek M K, 2020. Air pollution as a result of the development of motorization. Global NEST Journal, 22(2): 220–230. doi:  10.30955/gnj.003021
[13] Dai E, Ma L, 2018. Review on land change modeling approaches. Progress In Geography, 37(1): 152–162. doi:  10.18306/dlkxjz.2018.01.016
[14] Ding Minglei, Yang Xiaona, Zhao Rongqin et al., 2022. Optimization of land spatial pattern under the goal of carbon neutrality: theoretical framework and practical strategies. Journal of natural resources, 37(5): 1137–1147. (in Chinese)
[15] Du Y, 2020. Carbon storage allocation characteristics of platycladus orientalis plantation ecosystem with different densities. Global NEST Journal, 22(4): 592–602. doi:  10.30955/gnj.003379
[16] Eduardo G, Patrícia A, Arnaud B et al., 2019. Modelling future land use scenarios based on farmers’ intentions and a cellular automata approach. Land Use Policy, 85: 142–154. doi:  10.1016/j.landusepol.2019.03.027
[17] Feng H H, Liu H P, Lü Y, 2012. Scenario prediction and analysis of urban growth using SLEUTH model. Pedosphere, 22(2): 206–216. doi:  10.1016/S1002-0160(12)60007-1
[18] Feng Y, Liu Y, Tong X, 2018. Comparison of metaheuristic cellular automata models: a case study of dynamic land use simulation in the Yangtze River Delta. Computers, Environment and Urban Systems, 70: 138–150. doi:  10.1016/j.compenvurbsys.2018.03.003
[19] Fu Q, Xu L L, Zheng H Y, 2019. Spatiotemporal dynamics of carbon storage in response to urbanization: a case study in the Su-Xi-Chang Region, China. Processes, 7(11): 836. doi:  10.3390/pr7110836
[20] Geng M, Ma K, Sun Y et al., 2020. Changes of land use/cover and landscape in Zhalong wetland as ‘red-crowned cranes country’, Heilongjiang Province, China. Global NEST Journal, 22(4): 477–483. doi:  10.30955/gnj.003372
[21] Han Qing, 2017. Effects of Land Use Change on Terrestrial Vegetation Carbon Uptake in China During 2000–2013. Harbin: Harbin Normal University. (in Chinese)
[22] Hossein S M, Ali A, Amin T et al., 2017. Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth. Computers, Environment and Urban Systems, 64: 297–308. doi:  10.1016/j.compenvurbsys.2017.04.002
[23] Hu W, Li G, Gao Z et al., 2020. Assessment of the impact of the poplar ecological retreat project on water conservation in the Dongting Lake wetland region using the InVEST model. Science of The Total Environment, 733: 139423. doi:  10.1016/j.scitotenv.2020.139423
[24] Jin Hong, Zhang Yufei, 2015. Introduction and reference of carbon emission reduction policies in developing countries. Journal of Chifeng University (Natural Science Edition), 31(10): 62–64. (in Chinese)
[25] Kaviari F, Mesgari M S, Seidi E et al., 2019. Simulation of urban growth using agent-based modeling and game theory with different temporal resolutions. Cities, 95: 102387. doi:  10.1016/j.cities.2019.06.018
[26] Ke Xinli, Tang Lanping, 2019. Impact of cascading processes of urban expansion and cropland reclamation on the ecosystem of a carbon storage service in Hubei Province, China. Acta Ecologica Sinica, 39(2): 672–683. (in Chinese)
[27] Li Guozhen, 2018. Land Use Change and Simulation in Shenzhen Based on FLUS Model. Wuhan: Wuhan University. (in Chinese)
[28] Li K R, Wang S Q, Cao M K, 2004. Vegetation and soil carbon storage in China. Science in China Series D-Earth Sciences, 47(1): 49–57. doi:  10.1360/02yd0029
[29] Li X, Yu X, Wu K et al., 2021. Land-use zoning management to protecting the regional key ecosystem services: a case study in the city belt along the Chaobai River, China. Science of The Total Environment, 762: 143167. doi:  10.1016/j.scitotenv.2020.143167
[30] Liang X, Guan, Q, Clarke, K C et al., 2021. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: a case study in Wuhan, China. Computers. Environment and Urban Systems, 85: 101569. doi:  10.1016/j.compenvurbsys.2020.101569
[31] Liang X, Liu X, Li X et al., 2018. Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method. Landscape and Urban Planning, 177: 47–63. doi:  10.1016/j.landurbplan.2018.04.016
[32] Lin Peifeng, Zheng Rongbao, Hong Xiao et al., 2019. Simulation of land use spatial layout based on FLUS model: a case study of Huadu District, Guangzhou. Territory & Natural Resources Study, (2): 7–13. (in Chinese)
[33] Lin T, Ge R, Zhao Q et al., 2016. Dynamic changes of a city’s carbon balance and its influencing factors: a case study in Xiamen, China. Carbon Management, 7(3): 149–160. doi:  10.1080/17583004.2016.1180587
[34] Lin W, Sun Y, Steffen N et al., 2020. Scenario-based flood risk assessment for urbanizing deltas using future land-use simulation (FLUS): Guangzhou Metropolitan Area as a case study. Science of The Total Environment, 739: 139899. doi:  10.1016/j.scitotenv.2020.139899
[35] Liu J, Zhang L, Zhang Q, 2019. The development simulation of urban green space system layout based on the land use scenario: a case study of Xuchang City, China. Sustainability, 12(1): 326. doi:  10.3390/su12010326
[36] Liu Xiaojun, Li Xia, Liang Xun et al., 2019. Simulating the change of terrestrial carbon storage in China based on the FLUS-InVEST model. Tropical Geography, 39(3): 397–409. (in Chinese)
[37] Liu X, Liang X, Li X et al., 2017. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape and Urban Planning, 168: 94–116. doi:  10.1016/j.landurbplan.2017.09.019
[38] Miguel M, Catarina F, Marta V et al., 2018. Spatial assessment of habitat conservation status in a Macaronesian Island based on the InVEST model: a case study of Pico Island (Azores, Portugal). Land Use Policy, 78: 637–649. doi:  10.1016/j.landusepol.2018.07.015
[39] Pan Kuixiao, 2017. Low Carbon Strategies in Dalian Coastal Areas under Overall Urbanization. Dalian: Dalian University of Technology. (in Chinese)
[40] Qin Menglin, Ouyang Huting, Liu Yuting et al., 2022. Urban agglomeration spatial planning strategies under the carbon emission peak and carbon neutrality visions in China’s Bay Areas. Planners, 38(1): 17–23,31. (in Chinese)
[41] Raich J W, Nadelhoffer K J, 1989. Belowground carbon allocation in forest ecosystems: global trends. Ecology, 70(5): 1346–1354. doi:  10.2307/1938194
[42] Song Xiaochun, 2020. Land Use Change and Simulation Study in the Farming-Pastoral Ecotone of Inner Mongolia Based on FLUS Model. Lanzhou: Lanzhou Jiaotong University. (in Chinese)
[43] Syvitski J P M, Kettner A J, Overeem I et al., 2009. Sinking deltas due to human activities. Nature Geoscience, 2: 681–686. doi:  10.1038/ngeo629
[44] Wang Ding, Zhao Zhongnan, Wang Guan et al., 2022. From carbon source to carbon sink: path analysis of realizing carbon neutralization in China. Water Conservancy Development Research, 22(5): 28–33. (in Chinese)
[45] Wang Wei, 2019. Temporal and Spatial Variation of Carbon Source Carbon Sinks in Tibet Grassland Ecosystem and Its Relationship with Climate Factors. Xian: Chang’an University. (in Chinese)
[46] Wu Juanyu, Zhang Yilei, Jiang Weikang et al., 2020. Spatio-temporal evolution of ecosystem carbon storage in Guangdong-Hong Kong-Macao Greater Bay Area. Landscape Architecture, 27(10): 57–63. (in Chinese)
[47] Xi Xiaohuan, Li Min, Zhang Xiuzhi et al., 2013. Research on soil organic carbon distribution and change trend in middle-east plain and its vicinity in China. Earth Science Frontiers, 20(1): 154–165. (in Chinese)
[48] Xie Xianli, Sun Bo, Zhou Huizhen et al., 2004. Estimation and spatial distribution of soil organic carbon density and storage in China. Acta Pedologica Sinica, 41: 35–43. (in Chinese)
[49] Xu Yaozhan, Jiang Mingxi, 2015. Forest carbon pool characteristics and advances in the researches of carbon storage and related factors. Acta Ecologica Sinica, 35(3): 926–933. (in Chinese)
[50] Yang J, Guo A, Li Y et al., 2018. Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District. GIScience and Remote Sensing, 56(3): 388–405. doi:  10.1080/15481603.2018.1533680
[51] Yang Jie, Xie Baopeng, Zhang Degang, 2021. Spatio-temporal evolution of carbon stocks in the Yellow River Basin based on InVEST and CA-Markov models. Chinese Journal of Eco-Agriculture, 29(6): 1018–1029. (in Chinese)
[52] Yu Jianhui, Xiao Ruolan, Ma Renfeng et al., 2022. Hot research fields and trends of ‘carbon neutrality’ in international trade. Journal of Natural Resource, 37(5): 1303–1320. (in Chinese)
[53] Zhang H, Zeng Y, Jin X et al., 2016. Simulating multi-objective land use optimization allocation using multi-agent system: a case study in Changsha, China. Ecological Modelling, 320(0): 334–347. doi:  10.1016/j.ecolmodel.2015.10.017
[54] Zhang Yang, Jin Xue, Gong Xianjie, 2021. Study on spatial differentiation and accessibility of rural tourism demonstration villages in Shaanxi Province. Journal of Northwest Normal University (Natural Science), 57(5): 26–32. (in Chinese)