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

doi:10.11821/dlxb201903004

Abstract

Abstract:

The change of regional land use is the main cause for the change of carbon storage in territorial ecosystem, which affects the process of carbon emission and sink. However, previous studies on the impact of future land use change on ecosystem carbon storage considering temporal and spatial scales in the basin are still absent. This study analyzed land use change from 2005 to 2015 in the Qihe River Basin, Taihang mountainous areas, and used Markov-CLUE-S composite models to predict land use pattern of this region in 2025, under three scenarios of natural growth, farmland protection and ecological conservation. Based on the data of land use, we used carbon storage module in InVEST model to evaluate carbon storage of territorial ecosystem during the past 10 years and the future. The results showed that: (1) The carbon storage and carbon density of the ecosystem in the Qihe River Basin in 2015 were 3.16×10⁷ t and 141.9 t/hm², respectively, and they both had decreased by 0.07×10⁷ t and 2.89 t/hm² during the 10 years. (2) From 2005 to 2015, the carbon density was mainly reduced in low altitude areas, and the ratio of the increased areas was similar to that of the reduced areas in the high altitude areas. The decrease of carbon density was mainly caused by expansion of construction land in the middle and lower reaches, and degradation of forestland in the upper reach of Qihe River Basin. (3) From 2015 to 2025, the carbon storage and carbon density of ecosystem will decrease by 0.03×10⁷ t and 1.38 t/hm² respectively in the natural growth scenario, mainly due to the reduction of carbon sequestration capacity in low altitude areas. The farmland conservation scenario will slow down the decrease of carbon storage and carbon density (0.01×10⁷ t and 0.44 t/hm²), mainly due to the enhancement of carbon sequestration capacity in low altitude areas. The ecological protection scenario will increase carbon storage and carbon density significantly to 3.19×10⁷ t and 143.26 t/hm² respectively, mainly appearing in the area above 1100 m. The ecological protection scenario can enhance carbon sequestration capacity, but it cannot effectively control the loss of farmland area. Therefore, the land use planning of the study area can comprehensively consider the ecological protection scenario and farmland conservation scenario, which not only increases carbon sink, but also ensures the farmland quality and food security.

Key words: land use, Markov-CLUE-S composite model, InVEST model, carbon storage, scenario simulation, Qihe River Basin

Wenbo ZHU, Jingjing ZHANG, Yaoping CUI, Hui ZHENG, Lianqi ZHU. 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): 446-459.

Figures/Tables 11

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References 50

[1]	Schimel D S, House J I, Hibbard K A, et al.Recent patterns and mechanisms of carbon recent patterns and mechanisms of carbon exchange by terrestrial ecosystems. Nature, 2001, 414(6860): 169-172. doi: 10.1038/35102500 pmid: 11700548
[2]	Piao S, Fang J, Ciais P, et al.The carbon balance of terrestrial ecosystems in China. Nature, 2009, 458(7241): 1009-1013. doi: 10.1038/nature07944 pmid: 19396142
[3]	Ji Jinjun, Huang Mei, Li Kerang.The predication research of Chinese carbon exchange between the terrestrial ecosystem and the atmosphere in 21st century. Scientia Sinica (Terrae), 2008, 38(2): 211-223. doi: 10.1007/s11442-008-0201-7
	[季劲钧, 黄玫, 李克让. 21世纪中国陆地生态系统与大气碳交换的预测研究. 中国科学: 地球科学, 2008, 38(2): 211-223.] doi: 10.1007/s11442-008-0201-7
[4]	Fang Jingyun, Yu Guirui, Ren Xiaobo, et al.Carbon sequestration in China's terrestrial ecosystems under climatechange: Progress on ecosystem carbon sequestration from the CAS Strategic Priority Research Program. Bulletin of the Chinese Academy of Sciences, 2015, 30(6): 848-857.
	[方精云, 于贵瑞, 任小波, 等. 中国陆地生态系统固碳效应: 中国科学院战略性先导科技专项“应对气候变化的碳收支认证及相关问题”之生态系统固碳任务群研究进展. 中国科学院院刊, 2015, 30(6): 848-857.]
[5]	Dai Erfu, Huang Yu, Wu Zhuo, et al.Spatial-temporal features of carbon source-sink and its relationship with climate factors in Inner Mongolia grassland ecosystem. Acta Geographica Sinica, 2016, 71(1): 21-34. doi: 10.11821/dlxb201601002
	[戴尔阜, 黄宇, 吴卓, 等. 内蒙古草地生态系统碳源/汇时空格局及其与气候因子的关系. 地理学报, 2016, 71(1): 21-34.] doi: 10.11821/dlxb201601002
[6]	Houghton R A, Werf G R V D, Defries R S, et al. Chapter G2 Carbon emissions from land use and land-cover change. Biogeosciences, 2012, 9(1): 5125-5142. doi: 10.5194/bg-9-5125-2012
[7]	Baumann M, Gasparri I, Gavier Pizarro G, et al.Carbon emissions from agricultural expansion and intensification in the Chaco. Global Change Biology, 2017, 23(5): 1902-1916. doi: 10.1111/gcb.13521 pmid: 27782350
[8]	Foley J A, Defries R, Asner G P, et al.Global consequences of land use. Science, 2005, 309(5734): 570-574. doi: 10.1126/science.1111772
[9]	Houghton R A.Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850-2000. Tellus, 2003, 55(2): 378-390.
[10]	Baccini A, Goetz S J, Walker W S, et al.Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change, 2012, 2(3): 182-185. doi: 10.1038/nclimate1354
[11]	Houghton R A.Carbon emissions and the drivers of deforestation and forest degradation in the tropics. Current Opinion in Environmental Sustainability, 2012, 4(6): 597-603. doi: 10.1016/j.cosust.2012.06.006
[12]	Navin R, Hollyk G, Frédéric A, et al.Challenges to estimating carbon emissions from tropical deforestation. Global Change Biology, 2007, 13(1): 51-66. doi: 10.1111/j.1365-2486.2006.01272.x
[13]	Gutierrez-Velez V H, Pontius R G. Influence of carbon mapping and land change modelling on the prediction of carbon emissions from deforestation. Environmental Conservation, 2012, 39(4): 325-336. doi: 10.1017/S0376892912000173
[14]	Nogueira E M, Yanai A M, Vasconcelos S S D, et al. Carbon stocks and losses to deforestation in protected areas in Brazilian Amazonia. Regional Environmental Change, 2018, 18(5): 261-270. doi: 10.1007/s10113-017-1198-1
[15]	Tao Y, Li F, Liu X, et al.Variation in ecosystem services across an urbanization gradient: A study of terrestrial carbon stocks from Changzhou, China. Ecological Modelling, 2015, 318(1): 210-216. doi: 10.1016/j.ecolmodel.2015.04.027
[16]	Lai L, Huang X, Yang H, et al.Carbon emissions from land-use change and management in China between 1990 and 2010. Science Advances, 2016, 2(11): e1601063. doi: 10.1126/sciadv.1601063 pmid: 5099982
[17]	Zhao Mingwei, Yue Tianxiang, Zhao Na, et al.Spatial distribution of forest vegetation carbon stock in China based on HASM. Acta Geographica Sinica, 2013, 24(9): 1212-1224. doi: 10.1007/s11442-014-1086-2
	[赵明伟, 岳天祥, 赵娜, 等. 基于HASM的中国森林植被碳储量空间分布模拟. 地理学报, 2013, 24(9): 1212-1224.] doi: 10.1007/s11442-014-1086-2
[18]	Laganière J, Angers D A, Paré D.Carbon accumulation in agricultural soils after afforestation: A meta-analysis. Global Change Biology, 2010, 16(1): 439-453. doi: 10.1111/j.1365-2486.2009.01930.x
[19]	Liao Lianglin, Zhou Lei, Wang Shaoqiang, et al.Carbon sequestration potential of biomass carbon pool for newafforestation in China during 2005-2013. Acta Geographica Sinica, 2016, 71(11): 1939-1947. doi: 10.11821/dlxb201611006
	[廖亮林, 周蕾, 王绍强, 等. 2005-2013年中国新增造林植被生物量碳库固碳潜力分析. 地理学报, 2016, 71(11): 1939-1947.] doi: 10.11821/dlxb201611006
[20]	Han X, Zhao F, Tong X, et al.Understanding soil carbon sequestration following the afforestation of former arable land by physical fractionation. Catena, 2017, 150: 317-327. doi: 10.1016/j.catena.2016.11.027
[21]	Jiang W, Deng Y, Tang Z, et al.Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models. Ecological Modelling, 2017, 345(2): 30-40. doi: 10.1016/j.ecolmodel.2016.12.002
[22]	Liang Y, Liu L, Huang J.Integrating the SD-CLUE-S and InVEST models into assessment of oasis carbon storage in northwestern China. PLos One, 2017, 12(2): e0172494. doi: 10.1371/journal.pone.0172494 pmid: 5322964
[23]	Wang Huimin, Zeng Yongnian.Land use optimization simulation based on low-carbon emissions in eastern part of Qinghai Plateau. Geographical Research, 2015, 34(7): 1270-1284. doi: 10.11821/dlyj201507007
	[王慧敏, 曾永年. 青海高原东部土地利用的低碳优化模拟: 以海东市为例. 地理研究, 2015, 34(7): 1270-1284.] doi: 10.11821/dlyj201507007
[24]	Zhang J, Zhu W, Zhao F, et al.Spatial variations of terrain and their impacts on landscape patterns in the transition zone from mountains to plains: A case study of Qihe River Basin in the Taihang Mountains. Science China (Earth Sciences), 2018, 61(4): 450-461. doi: 10.1007/s11430-016-9158-2
[25]	Qian Caiyun, Gong Jie, Zhang Jinxi, et al.Change and tradeoffs-synergies analysis on watershed ecosystemservices: A case study of Bailongjiang Watershed, Gansu. Acta Geographica Sinica, 2018, 73(5): 868-879. doi: 10.11821/dlxb201805007
	[钱彩云, 巩杰, 张金茜, 等. 甘肃白龙江流域生态系统服务变化及权衡与协同关系. 地理学报, 2018, 73(5): 868-879.] doi: 10.11821/dlxb201805007
[26]	Wang Yuangang, Luo Geping, Feng Yixing, et al.Effects of land use/land cover change on carbon storage in Manas River Watershed over the past 50 years. Journal of Natural Resources, 2013, 28(6): 994-1006. doi: 10.11849/zrzyxb.2013.06.010
	[王渊刚, 罗格平, 冯异星, 等. 近50a玛纳斯河流域土地利用/覆被变化对碳储量的影响. 自然资源学报, 2013, 28(6): 994-1006.] doi: 10.11849/zrzyxb.2013.06.010
[27]	Verburg P H, Soepboer W, Veldkamp A, et al.Modeling the spatial dynamics of regional land use: The CLUE-S model. Environmental Management, 2002, 30(3): 391-405. doi: 10.1007/s00267-002-2630-x pmid: 12148073
[28]	Deng Hua, Shao Jing'an, Wang Jinliang, et al. Land use driving forces and its future scenario simulation in the Three Gorges Reservoir Area using CLUE-S model. Acta Geographica Sinica, 2016, 71(11): 1979-1997. doi: 10.11821/dlxb201611009
	[邓华, 邵景安, 王金亮, 等. 多因素耦合下三峡库区土地利用未来情景模拟. 地理学报, 2016, 71(11): 1979-1997.] doi: 10.11821/dlxb201611009
[29]	Jiang W, Chen Z, Lei X, et al.Simulating urban land use change by incorporating an autologistic regression model into a CLUE-S model. Journal of Geographical Sciences, 2015, 25(7): 836-850. doi: 10.1007/s11442-015-1205-8
[30]	Hu Y, Zheng Y, Zheng X.Simulation of land-use scenarios for Beijing using CLUE-S and Markov composite models. Chinese Geographical Science, 2013, 23(1): 92-100. doi: 10.1007/s11769-013-0594-9
[31]	Dai Erfu, Wang Xiaoli, Zhu Jianjia, et al.Methods, tools and research framework of ecosystem service trade-offs. Geographical Research, 2016, 35(6): 1005-1016. doi: 10.11821/dlyj201606001
	[戴尔阜, 王晓莉, 朱建佳, 等. 生态系统服务权衡: 方法、模型与研究框架. 地理研究, 2016, 35(6): 1005-1016.] doi: 10.11821/dlyj201606001
[32]	Zhu Jianjia, Dai Erfu, Zheng Du, et al.Characteristic of tradeoffs between timber production and carbon storage for plantation under harvesting impact: A case study of Huitong National Research Station of Forest Ecosystem. Acta Geographica Sinica, 2018, 73(1): 152-163. doi: 10.11821/dlxb201801013
	[朱建佳, 戴尔阜, 郑度, 等. 采伐影响下人工林木材生产与固碳功能权衡特征: 以湖南会同森林生态实验站为例. 地理学报, 2018, 73(1): 152-163.] doi: 10.11821/dlxb201801013
[33]	Zhang Jingjing, Zhu Wenbo, Zhao Fang, et al.Spatial variations of terrain and their impacts on landscape patterns in the transition zone from mountains to plains: A case study of Qihe River Basin in the Taihang Mountains. Scientia Sinica(Terrae), 2018, 48(4): 476-486.
	[张静静, 朱文博, 赵芳, 等. 山地平原过渡带地形起伏特征及其对景观格局的影响: 以太行山淇河流域为例. 中国科学: 地球科学, 2018, 48(4): 476-486.]
[34]	Ru Wenming.A research on the vegetation in the Southern part of Taihang mountain. Journal of Shanxi Normal University (Natural Science Edition), 1993, 7(Suppl.2): 54-58.
	[茹文明. 太行山南段植被的研究. 山西师范大学学报(自然科学版), 1993, 7(Suppl.2): 54-58.]
[35]	Kuang Shengshun.The vertical zonation of mountain vertation in Henan. Journal of Henan Normal University (Natural Science Edition), 1991, 19(4): 91-95.
	[邝生舜. 河南山地植被的垂直分布规律. 河南师范大学学报(自然科学版), 1991, 19(4): 91-95.]
[36]	Liu Jiyuan.Study on national resources and environment survey and dynamic monitoring using remote sensing. Journal of Remote Sensing, 1997, 1(3): 225-230. doi: 10.1007/BF02951625
	[刘纪远. 国家资源环境遥感宏观调查与动态监测研究. 遥感学报, 1997, 1(3): 225-230.] doi: 10.1007/BF02951625
[37]	Pontius R G, Schneider L C.Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agriculture, Ecosystems and Environment, 2001. 85(1-3): 239-248. doi: 10.1016/S0167-8809(01)00187-6
[38]	Lu Wentao, Dai Chao, Guo Huaicheng.Land use scenario design and simulation based on Dyna-CLUE model in Dianchi LakeWatershed. Geographical Research, 2015, 34(9): 1619-1629. doi: 10.11821/d1yj201509002
	[陆文涛, 代超, 郭怀成. 基于Dyna-CLUE模型的滇池流域土地利用情景设计与模拟. 地理研究, 2015, 34(9): 1619-1629.] doi: 10.11821/d1yj201509002
[39]	Li Kerang, Wang Shaoqiang, Cao Mingkui.Vegetation and soil carbon storage in China. Scientia Sinica (Terrae), 2003, 33(1): 72-80. doi: 10.3321/j.issn:1006-9267.2003.01.008
	[李克让, 王绍强, 曹明奎. 中国植被和土壤碳贮量. 中国科学: 地球科学, 2003, 33(1): 72-80.] doi: 10.3321/j.issn:1006-9267.2003.01.008
[40]	Fang Jingyun, Liu Guohua, Xu Songling.Biomass and net production of forest vegetation in China. Acta Ecologica Sinica, 1996, 16(5): 497-508.
	[方精云, 刘国华, 徐嵩龄. 我国森林植被的生物量和净生产量. 生态学报, 1996, 16(5): 497-508.]
[41]	Huang Mei, Ji Jinjun, Cao Mingkui, et al.Modeling study of vegetation shoot and root biomass in China. Acta Ecologica Sinica, 2006, 26(12): 4156-4163. doi: 10.3321/j.issn:1000-0933.2006.12.031
	[黄玫, 季劲钧, 曹明奎, 等. 中国区域植被地上与地下生物量模拟. 生态学报, 2006, 26(12): 4156-4163.] doi: 10.3321/j.issn:1000-0933.2006.12.031
[42]	Piao Shilong, Fang Jingyun, He Jinsheng, et al.Spatial distribution of grassland biomass in China. Chinese Journal of Plant Ecology, 2004, 28(4): 491-498. doi: 10.17521/cjpe.2004.0067
	[朴世龙, 方精云, 贺金生, 等. 中国草地植被生物量及其空间分布格局. 植物生态学报, 2004, 28(4): 491-498.] doi: 10.17521/cjpe.2004.0067
[43]	Chuai Xiaowei, Huang Xianjin, Zheng Zeqing, et al.Land use change and its influence on carbon storage of terrestrial ecosystems in Jiangsu Province. Resources Science, 2011, 33(10): 1932-1939.
	[揣小伟, 黄贤金, 郑泽庆, 等. 江苏省土地利用变化对陆地生态系统碳储量的影响. 资源科学, 2011, 33(10): 1932-1939.]
[44]	Chen Guangshui, Yang Yusheng, Xie Jinsheng, et al.Total below ground carbon allocation in China's forests. Acta Ecologica Sinica, 2007, 27(12): 5148-5157. doi: 10.3321/j.issn:1000-0933.2007.12.024
	[陈光水, 杨玉盛, 谢锦升, 等. 中国森林的地下碳分配. 生态学报, 2007, 27(12): 5148-5157.] doi: 10.3321/j.issn:1000-0933.2007.12.024
[45]	Giardina C P, Ryan M G.Evidence that decomposition rates of organic carbon in mineral soil do not vary with temperature. Nature, 2000, 404(6780): 858-861. doi: 10.1038/35009076
[46]	Alam S A, Starr M, Clark B J F. Tree biomass and soil organic carbon densities across the Sudanese woodland savannah: A regional carbon sequestration study. Journal of Arid Environments, 2013, 89(1): 67-76. doi: 10.1016/j.jaridenv.2012.10.002
[47]	Wang Haiwen.Study on the ecosystem carbon storage of different land use types in the TaiHang mountain [D]. Baoding: Agricultural University of Hebei, 2007.
	[王海稳. 太行山区不同土地利用方式下生态系统碳贮量研究[D]. 保定: 河北农业大学, 2007.]
[48]	Piao Shilong, Fang Jingyun, He Jinsheng, et al.Spatial distribution of grassland biomass in China. Acta Phytoecologica Sinica, 2004, 28(4): 491-498. doi: 10.17521/cjpe.2004.0067
	[朴世龙, 方精云, 贺金生, 等. 中国草地植被生物量及其空间分布格局. 植物生态学报, 2004, 28(4): 491-498.] doi: 10.17521/cjpe.2004.0067
[49]	Li Haojie.Accurate estimate of soil organic carbon storage in Henan Province based on high-density profile [D]. Zhengzhou: Zhengzhou University, 2016.
	[李豪杰. 基于高密度剖面的河南省土壤有机碳储量精确估算[D]. 郑州: 郑州大学, 2016.]
[50]	Chen Xialin.Researches on carbon sequestration functions of main forest types in northern China [D]. Beijing: Beijing Forestry University, 2003.
	[陈遐林. 华北主要森林类型的碳汇功能研究[D]. 北京: 北京林业大学, 2003.]

类型	耕地	林地	草地	水域	建设用地	未利用地
Q1	0.7	0.7	0.7	0.8	0.9	0.6
Q2	0.9	0.7	0.7	0.8	0.9	0.5
Q3	0.7	0.8	0.8	0.9	0.9	0.5

类型	C_i_-_above	C_i_-_below	C_i_-_soil
耕地	4.02	0.76	105.14
林地	55.74	12.14	174.97
草地	0.39	2.46	96.89
水域	0.04	0	64.03
建设用地	0.01	0	57.63
未利用地	0.01	0	58.89

编码	耕地		林地		草地		水域		建设用地		未利用地
编码	Beta系数	Exp(B)	Beta系数	Exp(B)	Beta系数	Exp(B)	Beta系数	Exp(B)	Beta系数	Exp(B)	Beta系数	Exp(B)
常量	2.1439	8.5329	-4.8852	0.0076	-1.9361	0.1443	-3.7741	0.0230	0.2381	1.2688	-13.1827	0
sc1gr0	0.0007	1.0007	0.0014	1.0014	-0.0014	0.9986	-0.0023	0.9977	-	-	0.0017	1.0017
sc1gr1	-0.1333	0.8752	0.0980	1.1029	0.0388	1.0395	-0.0896	0.9143	-0.0113	0.9888	0.0738	1.0766
sc1gr2	0.0004	1.0004	-0.0002	0.9998	-	-	-	-	-	-	-	-
sc1gr3	-0.0150	0.985	0.0105	1.0106	-0.0211	0.9791	0.1532	1.1656	-	-	-	-
sc1gr4	0.0084	1.0085	0.0638	1.0659	-0.0825	0.9209	-0.2295	0.7949	0.1963	1.2169	-	-
sc1gr5	-0.0325	0.9680	0.1033	1.1088	-	-	-	-	-	-	-	-
sc1gr6	-	-	0.0001	1.0001	-	-	-	-	-	-	-	-
sc1gr7	-0.0005	0.9995	0.0002	1.0002	0.0004	1.0004	0.0002	1.0002	-0.0090	0.9911	-	-
sc1gr8	-	-	-	-	0.0001	1.0001	-	-	-	-	-	-
sc1gr9	0.0001	1.0001	-	-	-	-	0.0001	1.0001	-	-	-	-
ROC值	0.810		0.848		0.711		0.843		0.956		0.825

2015年	2005年
2015年	耕地	林地	草地	水域	建设用地	未利用地	总计	转入总计
耕地	47422	3262.5	6655.5	1257.75	1714.5	0	60312.25	12890.25
林地	6169.5	51878.75	8196.75	231.75	67.5	4.5	66548.75	14670
草地	12114	12136.5	53237.5	591.75	299.25	2.25	78381.25	25143.75
水域	2468.25	623.25	762.75	1404.75	155.25	0	5414.25	4009.5
建设用地	4475.25	391.5	555.75	117	6499.25	2.25	12041	5541.75
未利用地	9	13.5	6.75	0	2.25	2	33.5	31.5
总计	72658	68306	69415	3603	8738	11	222731	-
转出总计	25236	16427.25	16177.5	2198.25	2238.75	9	-	62286.75

时段	明显减少(≤ -20 t/hm²)		基本不变(-20~20 t/hm²)		明显增加(≥ 20 t/hm²)
时段	栅格数	比例(%)	栅格数	比例(%)	栅格数	比例(%)
2005-2015年	3419	3.45	95205	96.11	430	0.43
2015-2025年(Q1)	1599	1.61	97340	98.27	115	0.12
2015-2025年(Q2)	595	0.60	97958	98.89	501	0.51
2015-2025年(Q3)	170	0.17	97795	98.73	1089	1.10

Assessment of territorial ecosystem carbon storage based on land use change scenario: A case study in Qihe River Basin

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类型	耕地	林地	草地	水域	建设用地	未利用地
Q1	0.7	0.7	0.7	0.8	0.9	0.6
Q2	0.9	0.7	0.7	0.8	0.9	0.5
Q3	0.7	0.8	0.8	0.9	0.9	0.5

[1]	TONG Rongxin, LIANG Xun, GUAN Qingfeng, SONG Yu, CHEN Yuling, WANG Qinyi, ZHENG Lina, JIN Qun, YU Yanping, HE Jie, XIONG Xuehui, LIAO Weilin. Estimation of soil carbon storage change from land use and management at a high spatial resolution in China during 2000-2020 [J]. Acta Geographica Sinica, 2023, 78(9): 2209-2222.
[2]	YANG Shiqi, WANG Ji, DOU Yinyin, LUAN Qingzu, KUANG Wenhui. Spatio-temporal evolution of urbanization and its relationship with regional climate change in Beijing over the past century [J]. Acta Geographica Sinica, 2023, 78(3): 620-639.
[3]	LYU Guowei, ZHOU Jianchun, CAI Yumei, MENG Chao, LI Shengfa, CHEN Weilian. Carbon accounting for land use, land-use change and forestry in Guangdong province [J]. Acta Geographica Sinica, 2023, 78(3): 640-657.
[4]	FU Jingying, GAO Qiang, JIANG Dong, LIN Gang. Optimal regulation of spatial planning in the context of black soil preservation and food security in Qiqihar [J]. Acta Geographica Sinica, 2022, 77(7): 1662-1680.
[5]	WANG Shaojian, WANG Jieyu. Embodied land in China's provinces from the perspective of regional trade [J]. Acta Geographica Sinica, 2022, 77(5): 1072-1085.
[6]	JU Hongrun, ZHANG Shengrui, YAN Yichen. Spatial pattern changes of urban expansion and multi-dimensional analysis of driving forces in the Guangdong-Hong Kong-Macao Greater Bay Area in 1980-2020 [J]. Acta Geographica Sinica, 2022, 77(5): 1086-1101.
[7]	KUANG Wenhui, ZHANG Shuwen, DU Guoming, YAN Changzhen, WU Shixin, LI Rendong, LU Dengsheng, PAN Tao, NING Jing, GUO Changqing, DONG Jinwei, BAO Yuhai, CHI Wenfeng, DOU Yinyin, HOU Yali, YIN Zherui, CHANG Liping, YANG Jiuchun, XIE Jiali, QIU Juan, ZHANG Hansong, ZHANG Yubo, YANG Shiqi, SA Rigai, LIU Jiyuan. Remotely sensed mapping and analysis of spatio-temporal patterns of land use change across China in 2015-2020 [J]. Acta Geographica Sinica, 2022, 77(5): 1056-1071.
[8]	DENG Xiangzheng, JIANG Sijian, LI Xing, ZHAO Haipeng, HAN Ze, DONG Jinwei, SUN Zhigang, CHEN Mingxing. Dynamics of regional land uses affecting spatial heterogeneity of surface CO₂ concentration [J]. Acta Geographica Sinica, 2022, 77(4): 936-946.
[9]	HOU Yali, KUANG Wenhui, DOU Yinyin. Analysis of urban expansion and fractal features in global 33 megacities from 2000-2020 [J]. Acta Geographica Sinica, 2022, 77(11): 2687-2702.
[10]	LI Yan, LIN Anqi, WU Hao, WU Xia, CEN Luyu, LIU He, JIANG Zhimeng. Refined simulation of urban land use change with emphasis on spatial scale effect [J]. Acta Geographica Sinica, 2022, 77(11): 2738-2756.
[11]	LIU Haolong, ZHOU Yu, LIU Jun, DAI Junhu, GE Quansheng, QI Xiaobo. Characteristics and scenario simulation of the ice-sports season in Beijing Beihai Park under climate change [J]. Acta Geographica Sinica, 2022, 77(1): 35-50.
[12]	WULAN Tuya. Characteristics of grassland utilization in Mongolian Plateauand their differences among countries [J]. Acta Geographica Sinica, 2021, 76(7): 1722-1731.
[13]	HAN Bo, JIN Xiaobin, SUN Rui, LI Hanbing, LIANG Xinyuan, ZHOU Yinkang. Land use sustainability evaluation based on conflict-adaptation perspective [J]. Acta Geographica Sinica, 2021, 76(7): 1763-1777.
[14]	ZHANG Yongqiang, KONG Dongdong, ZHANG Xuanze, TIAN Jing, LI Congcong. Impacts of vegetation changes on global evapotranspiration in the period 2003-2017 [J]. Acta Geographica Sinica, 2021, 76(3): 584-594.
[15]	FAN Zemeng. Spatial identification and scenario simulation of ecotone distribution in China [J]. Acta Geographica Sinica, 2021, 76(3): 626-644.

类型	耕地	林地	草地	水域	建设用地	未利用地
Q1	0.7	0.7	0.7	0.8	0.9	0.6
Q2	0.9	0.7	0.7	0.8	0.9	0.5
Q3	0.7	0.8	0.8	0.9	0.9	0.5

类型	耕地	林地	草地	水域	建设用地	未利用地
Q1	0.7	0.7	0.7	0.8	0.9	0.6
Q2	0.9	0.7	0.7	0.8	0.9	0.5
Q3	0.7	0.8	0.8	0.9	0.9	0.5