退耕还林还草工程对生态系统碳储存服务的影响——以黄土高原丘陵沟壑区子长县为例

doi:10.31497/zrzyxb.20200407

摘要/Abstract

摘要： 陆地生态系统碳储量是表征生态系统碳储存服务的重要指标,与土地利用变化之间存在着密切的关系。退耕还林还草工程使区域土地利用格局发生巨大变化,并对生态系统碳储存服务造成了较大的影响。为了能简单快速的评估退耕还林还草工程对陆地生态系统碳储存服务所带来的影响,以位于黄土高原丘陵沟壑区的子长县为例,运用InVEST模型评估了退耕还林还草工程对陆地生态系统碳储量的影响,进一步耦合InVEST模型和FLUS模型,并设置四种不同的退耕还林还草实施情景,预测子长县2037年陆地生态系统碳储量变化和碳汇产生的经济价值。研究发现：（1）子长县退耕还林还草工程实施效果显著,17年间共有31627.98 hm²耕地退耕为林地和草地,境内的林草覆盖率由2000年的53.26%增长至2017年的64.20%;（2）退耕还林还草工程的实施显著提升了子长县陆地生态系统碳储存服务,碳储量由2000年的39.19×10⁶ t增长至2017年42.34×10⁶ t,增加量集中在工程实施主要阶段（2000—2008年）;（3）未来子长县若继续实施退耕还林还草工程,其生态系统碳储存服务会得到进一步提升,且会获得一定的碳汇经济价值。预计到2037年子长县在退耕还林还草工程实施A、B、C、D四种情景下的陆地生态系统碳储量将分别达到：43.78×10⁶ t、44.10×10⁶ t、44.32×10⁶ t和44.54×10⁶ t,并将由此获得碳汇经济价值净收益分别为1627.88万美元、1979.89万美元、2231.39万美元和2471.67万美元。耦合InVEST-FLUS模型,不但能利用InVEST模型简单快速的对陆地生态系统碳储量进行评估,而且还能基于FLUS模型对未来土地利用变化情景下的陆地生态系统碳储量和碳汇经济价值做出测算。

关键词: 陆地生态系统碳储存量, FLUS模型, 子长县, InVEST模型, 退耕还林还草工程

Abstract: Terrestrial carbon storage is an important indicator of ecosystem carbon storage services, and it has a close relationship with land use change. The Green for Grain Program (GFGP) has brought about great changes in the pattern of land use in the region and had a major impact on ecosystem carbon storage services. In order to simply and quickly assess the impact of GFGP on terrestrial ecosystem carbon storage services, this paper takes Zichang county, which is located in the hilly and gully region of the Loess Plateau, as an example, and used InVEST model to assess the impact of GFGP on the carbon storage of terrestrial ecosystems. Moreover, by coupling InVEST model and FLUS model, according to the set A, B, C, and D scenarios of GFGP, the change of terrestrial ecosystem carbon storage and the economic value of carbon sinks in Zichang county in 2037 were predicted. The study found that: (1) Remarkable effect of GFGP in Zichang county occurred. From 2000 to 2017, a total of 31627.98 hm² of cultivated land was converted to woodland and grassland. The forest and grass coverage rates in the study area increased from 53.26% in 2000 to 64.20% in 2017. (2) The carbon storage service of the terrestrial ecosystem was significantly improved from 2000 to 2017. The terrestrial carbon storage increased from 39.19×10⁶ t in 2000 to 42.34×10⁶ t in 2017, and its growth was mainly found in the main stage of project implementation from 2000 to 2008. (3) In the future, it is assumed that the GFGP will continue to be implemented in the county, and its ecosystem carbon storage services will be further improved. In addition, certain carbon sink economic value will be obtained. Until 2037, it is expected that the terrestrial carbon reserves under the four scenarios of GFGP in the county will reach 43.78×10⁶ t (GFGP scenario A), 44.10×10⁶ t (GFGP scenario B), 44.32×10⁶ t (GFGP scenario C) and 44.54×10⁶ t (GFGP scenario D), respectively. Thus, the net income from the economic value of carbon sinks was US$ 1627.88 million, US$ 1979.89 million, US$ 2231.39 million and US$ 2471.67 million, respectively. The coupled InVEST-FLUS model can not only use the InVEST model to evaluate land carbon stocks simply and quickly, but also calculate the terrestrial carbon reserves and carbon sink economic value under future land use change scenarios based on the FLUS model.

Key words: terrestrial ecosystem carbon storage, Zichang county, FLUS model, Green for Grain Program (GFGP), InVEST model

邓元杰, 姚顺波, 侯孟阳, 张童越, 鲁亚楠, 龚直文, 王怡菲. 退耕还林还草工程对生态系统碳储存服务的影响——以黄土高原丘陵沟壑区子长县为例[J]. 自然资源学报, 2020, 35(4): 826-844.

DENG Yuan-jie, YAO Shun-bo, HOU Meng-yang, ZHANG Tong-yue, LU Ya-nan, GONG Zhi-wen, WANG Yi-fei. Assessing the effects of the Green for Grain Program on ecosystem carbon storage service by linking the InVEST and FLUS models: A case study of Zichang county in hilly and gully region of Loess Plateau[J]. JOURNAL OF NATURAL RESOURCES, 2020, 35(4): 826-844.

参考文献

[1] COSTANZA R, D'ARGE R, DE GROOT R, et al. The value of the world's ecosystem services and natural capital. Nature, 1997, 387(6630): 253-260.
[2] Millennium Ecosystem Assessment. Ecosystems and Human Well-being: Synthesis. Island Press, Washington, D C, 2005.
[3] 蔚芳, 詹小稳. 基于生境质量与碳储量的城市刚性开发边界划定. 浙江大学学报: 工学版, 2019, 53(8): 1478-1487.
[WEI F, ZHAN X W.Delineation of rigid urban growth boundary based on habitat quality and carbon storage. Journal of Zhejiang University: Engineering Science, 2019, 53(8): 1478-1487.]
[4] 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 B, 2003, 55(2): 378-390.
[5] HOUGHTON R A.The annual net flux of carbon to the atmosphere from changes in land use 1850-1990. Tellus B, 1999, 51(2): 298-313.
[6] HOUGHTON R A, HACKLER J L.Emissions of carbon from forestry and land‐use change in tropical Asia. Global Change Biology, 1999, 5(4): 481-492.
[7] 葛全胜, 戴君虎, 何凡能, 等. 过去300年中国土地利用、土地覆被变化与碳循环研究. 中国科学(D辑: 地球科学), 2008, 38(2): 197-210.
[GE Q S, DAI J H, HE F N, et al.Study on land use, land cover changes and carbon cycle in China in the past 300 years. Scientia Sinica: Terrae, 2008, 38(2): 197-210.]
[8] 曲福田, 卢娜, 冯淑怡. 土地利用变化对碳排放的影响. 中国人口·资源与环境, 2011, 21(10): 76-83.
[QU F T, LU N, FENG S Y.Effects of land use change on carbon emissions. China Population, Resources and Environment, 2011, 21(10): 76-83.]
[9] 周德成, 赵淑清, 朱超. 退耕还林还草工程对中国北方农牧交错区土地利用/覆被变化的影响: 以科尔沁左翼后旗为例. 地理科学, 2012, 32(4): 442-449.
[ZHOU D C, ZHAO S Q, ZHU C.The impact of the grain for green project on the land use/cover change in the northern farming-pastoral ecotone, China: A case study of Kezuohouqi county. Scientia Geographica Sinica, 2012, 32(4): 442-449.]
[10] DENG L, LIU G, SHANGGUANZ P.Land-use conversion and changing soil carbon stocks in China's 'Grain-for-Green' Program: A synthesis. Global Change Biology, 2014, 20(11): 3544-3556.
[11] WANG Y, LIU L, SHANGGUAN Z P.Carbon storage and carbon sequestration potential under the Grain for Green Program in Henan province, China. Ecological Engineering, 2017, 100: 147-156.
[12] 姚平, 陈先刚, 周永锋, 等. 西南地区退耕还林工程主要林分50年碳汇潜力. 生态学报, 2014, 34(11): 3025-3037.
[YAO P, CHEN X G, ZHOU Y F, et al.Carbon sequestration potential of the major stands under the Grain for Green Program in Southwest China in the next 50 years. Acta Ecologica Sinica, 2014, 34(11): 3025-3037.]
[13] 刘淑娟, 张伟, 王克林, 等. 桂西北典型喀斯特峰丛洼地退耕还林还草的固碳效益评价. 生态学报, 2016, 36(17): 5528-5536.
[LIU S J, ZHANG W, WANG K L, et al.Evaluation of carbon sequestration after conversion of cropland to forest and grassland projection in karst peak-cluster depression area of Northwest Guangxi, China. Acta Ecologica Sinica, 2016, 36(17): 5528-5536.]
[14] 赵瑞, 孙保平, 于明含, 等. 广西壮族自治区平果县退耕还林植被碳储量特征. 水土保持通报, 2015, 35(3): 350-353.
[ZHAO R, SUN B P, YU M H, et al.Characters of carbon storage in forests of grain for green project in Pingguo county, Guangxi Zhuang Autonomous Region. Bulletin of Soil and Water Conservation, 2015, 35(3): 350-353.]
[15] LIU D, CHEN Y, CAI W, et al.The contribution of China's Grain to Green Program to carbon sequestration. Landscape Ecology, 2014, 29(10): 1675-1688.
[16] ZHOU D, ZHAO S, LIU S, et al.Modeling the effects of the sloping land conversion program on terrestrial ecosystem carbon dynamics in the Loess Plateau: A case study with Ansai county, Shaanxi province, China. Ecological Modelling, 2014, 288: 47-54.
[17] 徐自为, 张智杰. 基于土地利用变更调查的2010—2016年新疆尉犁县生态系统碳储量时空变化. 环境科学研究, 2018, 31(11): 1909-1917.
[XU Z W, ZHANG Z J.Spatiotemporal variation of carbon storage in Yuli county during 2010-2016. Research of Environmental Sciences, 2018, 31(11): 1909-1917.]
[18] 范立红, 朱建华, 李奇, 等. 三峡库区土地利用/覆被变化对碳储量的影响. 南京林业大学学报: 自然科学版, 2018, 42(4): 53-60.
[FAN L H, ZHU J H, LI Q, et al.Effects of changes in land use and cover on carbon storage in the Three Gorges Reservoir Area. Journal of Nanjing Forestry University: Natural Sciences Edition, 2018, 42(4): 53-60.]
[19] 郜红娟, 韩会庆, 张朝琼, 等. 乌江流域贵州段2000—2010年土地利用变化对碳储量的影响. 四川农业大学学报, 2016, 34(1): 48-53.
[GAO H J, HAN H Q, ZHANG C Q, et al.Effects of land use change on carbon storage in Wujiang River of Guizhou province from 2000-2010. Journal of Sichuan Agricultural University, 2016, 34(1): 48-53.]
[20] 张影, 谢余初, 齐姗姗, 等. 基于InVEST模型的甘肃白龙江流域生态系统碳储量及空间格局特征. 资源科学, 2016, 38(8): 1585-1593.
[ZHANG Y, XIE Y C, QI S S, et al.Carbon storage and spatial distribution characteristics in the Bailongjiang Watershed in Gansu based on In VEST model. Resources Science, 2016, 38(8): 1585-1593.]
[21] HE C, ZHANG D, HUANG Q, et al.Assessing the potential impacts of urban expansion on regional carbon storage by linking the LUSD-urban and InVEST models. Environmental Modelling & Software, 2016, 75: 44-58.
[22] 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: 30-40.
[23] LYU R, MI L, ZHANG J, et al.Modeling the effects of urban expansion on regional carbon storage by coupling SLEUTH‐3r model and InVEST model. Ecological Research, 2019, 34(3): 380-393.
[24] WANG J, ZHANG Q, GOU T, et al.Spatial-temporal changes of urban areas and terrestrial carbon storage in the Three Gorges Reservoir in China. Ecological Indicators. 2018, 95: 343-352.
[25] 朱冠华. 基于高分辨率遥感数据的绿洲区盐化土壤分布变化研究. 北京: 北京交通大学, 2018.
[ZHU G H.Monitoring and prediction of salinity soil in oasis based on high-resolution remote sensing data. Beijing: Beijing Jiaotong University, 2018.]
[26] 梁讯. 耦合人类活动与自然效应的土地利用变化模拟(FLUS)的构建与应用. 广州: 中山大学, 2018.
[LIANG X.Construction and application of land use change simulation (FLUS) coupled with human activities and natural effects. Guangzhou: Sun Yat-sen University, 2018.]
[27] LI X, CHEN G, LIU X, et al.A new global land-use and land-cover change product at a 1-km resolution for 2010 to 2100 based on human-environment interactions. Annals of the American Association of Geographers, 2017, 107(5): 1040-1059.
[28] LIU X, LIANG X, LI X, et al.A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape and Urban Planning, 2017, 168: 94-116.
[29] LI X, YEH A G.Neural-network-based cellular automaton for simulating multiple land use changes using GIS. International Journal of Geographical Information Science, 2002, 16(4): 323-343.
[30] 彭怡, 王玉宽, 傅斌, 等. 汶川地震重灾区生态系统碳储存功能空间格局与地震破坏评估. 生态学报, 2013, 33(3): 798-808.
[PENG Y, WANG Y K, FU B, et al.Spatial distribution of carbon storage function and seismic damage in wenchuan earthquake-stricken areas. Acta Ecologica Sinica, 2013, 33(3): 798-808.]
[31] 刘纪远, 宁佳, 匡文慧, 等. 2010—2015年中国土地利用变化的时空格局与新特征. 地理学报, 2018, 73(5): 789-802.
[LIU J Y, NING J, KUANG W H, et al.Spatio-temporal patterns and characteristics of land-use change in China during 2010-2015. Acta Geographica Sinica, 2018, 73(5): 789-802.]
[32] 张景华, 封志明, 姜鲁光. 土地利用/土地覆被分类系统研究进展. 资源科学, 2011, 33(6): 1195-1203.
[ZHANG J H, FENG Z M, JIANG L G.Progress on studies of land use/land cover classification systems. Resources Science, 2011, 33(6): 1195-1203.]
[33] 曹帅, 金晓斌, 杨绪红, 等. 耦合MOP与GeoSOS-FLUS模型的县级土地利用结构与布局复合优化. 自然资源学报, 2019, 34(6): 1171-1185.
[CAO S, JIN X B, YANG H X, et al.Coupled MOP and GeoSOS-FLUS models research on optimization of land use structure and layout in Jintan district. Journal of Natural Resources, 2019, 34(6): 1171-1185.]
[34] 王万茂. 土地利用规划学. 北京: 科学出版社, 2006.
[WANG W F. Planning of Land Use. Beijing: Science Press, 2006.]
[35] 权瑞松. 基于情景模拟的上海土地利用变化预测及其水文效应. 自然资源学报, 2018, 33(9): 1552-1562.
[QUAN R S.Prediction of land use change and its hydrological effect in Shanghai based on scenario simulation. Journal of Natural Resources, 2018, 33(9): 1552-1562.]
[36] 布仁仓, 常禹, 胡远满, 等. 基于Kappa系数的景观变化测度: 以辽宁省中部城市群为例. 生态学报, 2005, (4): 778-784.
[BU R C, CHANG Y, HU Y M, et al.Measuring spatial information changes using Kappa coefficients: A case study of the city groups in central Liaoning province. Acta Ecologica Sinica, 2005, (4): 778-784.]
[37] SHARP R, TALLIS H T, RICKETTS T, et al.InVEST user's guide. The Natural Capital Project: Stanford, CA, USA, 2014.
[38] 许泉, 芮雯奕, 何航, 等. 不同利用方式下中国农田土壤有机碳密度特征及区域差异. 中国农业科学, 2006, (12): 2505-2510.
[XU Q, RUI W Y, HE H, et al.Characteristics and regional differences of soil organic carbon density in farmland under different land use patterns in China. Scientia Agricultura Sinica, 2006, (12): 2505-2510.]
[39] 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. 土壤学报, 2004, (1): 35-43.
[XIE X L, SUN B, ZHOU H Z, et al.Organic carbon density and storage in soils of China and spatial analysis. Acta Pedologica Sinica, 2004, (1): 35-43.]
[40] 李克让, 王绍强, 曹明奎. 中国植被和土壤碳贮量. 中国科学(D辑: 地球科学), 2003, (1): 72-80.
[LI K R, WANG S Q, CAO M K.Carbon storage of vegetation and soil in China. Science in China, Ser. D, 2003, (1): 72-80.]
[41] 马钦彦, 陈遐林, 王娟. 中国北方主要森林类型含碳量的测定. 北京林业大学学报, 2002, 56(24): 96-100.
[MA Q Y, CHEN X L, WANG J.Determination of carbon content of major forest types in Northern China. Journal of Beijing Forestry University, 2002, 56(24): 96-100.]
[42] 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.
[CHUAI X W, HUANG X J, ZHENG ZE Q, et al.Land use change and itsinfluence on carbon storage of terrestrial ecosystems in Jiangsu province. Resources Science, 2011, 33(10): 1932-1939.]
[43] 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. 地理学报, 2019, 74(3): 446-459.
[ZHU W B, ZHANG J J, CUI Y P, et al.Assessment of territorial ecosystem carbon storage based on land use change scenario: A case study in Qihe River Basin. Acta Geographica Sinica, 2019, 74(3): 446-459.]
[44] 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, (12): 5148-5157.
[CHEN G S, YANG Y S, XIE J S, et al.Total belowground carbon allocation in China's forests. Acta Ecologica Sinica, 2007, (12): 5148-5157.]
[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.
[46] ALAM S A, STARR M, CLARK B J.Tree biomass and soil organic carbon densities across the Sudanese woodland savannah: A regional carbon sequestration study. Journal of arid environments, 2013, 89: 67-76.
[47] RICKE K, DROUET L, CALDEIRA K, et al.Country-level social cost of carbon. Nature Climate Change, 2018, 8(10): 895.
[48] ZARANDIAN A, BADAMFIROUZ J, MUSAZADEH R, et al.Scenario modeling for spatial-temporal change detection of carbon storage and sequestration in a forested landscape in Northern Iran. Environmental Monitoring and Assessment, 2018, 190(8): 474.
[49] LIU X, WANG S, WU P, et al.Impacts of urban expansion on terrestrial carbon storage in China. Environmental Science & Technology, 2019, 53(12): 6834-6844.
[50] 周锐, 苏海龙, 王新军, 等. 基于CLUE-S模型和Markov模型的城镇土地利用变化模拟预测: 以江苏省常熟市辛庄镇为例. 资源科学, 2011, 33(12): 2262-2270.
[ZHOU R, SU H L, WANG X J, et al.Simulation of land use change in Xinzhuang Town under different scenarios based on the CLUE-S Model and Markov Model. Resources Science, 2011, 33(12): 2262-2270.]