[1]赵 桐a,b,蒙吉军a,等.基于土地利用变化的成都平原经济区碳储量时空演变与情景模拟[J].山地学报,2023,(5):648-661.[doi:10.16089/j.cnki.1008-2786.000777]
　ZHAO Tonga,b,MENG Jijuna,et al.Spatio-Temporal Evolution of Land Use and Resulting Change in Carbon Stock in Chengdu Plain Economic Zone(CPEZ), China[J].Mountain Research,2023,(5):648-661.[doi:10.16089/j.cnki.1008-2786.000777]
点击复制

基于土地利用变化的成都平原经济区碳储量时空演变与情景模拟
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2023年第5期
页码:
648-661
栏目:
山地环境
出版日期:
2023-11-15

文章信息/Info

Title:
Spatio-Temporal Evolution of Land Use and Resulting Change in Carbon Stock in Chengdu Plain Economic Zone(CPEZ), China
文章编号:
1008-2786-(2023)5-648-14
作者:
赵 桐a; b; 蒙吉军a; b*
(北京大学 a. 城市与环境学院; b. 地表过程分析与模拟教育部重点实验室,北京 100871)
Author(s):
ZHAO Tonga; b; MENG Jijuna; b*
(a.College of Urban and Environmental Sciences; b. Laboratory for Earth Surface Processes(MOE), Peking University, Beijing 100871, China)
关键词:
碳储量;  土地利用变化;  情景模拟;  InVEST模型;  PLUS模型;  成都平原经济区
Keywords:
carbon stock;  land use change;  scenario simulation;  InVEST model;  PLUS model;  Chengdu Plain Economic Zone; China
分类号:
X321; F301.2
DOI:
10.16089/j.cnki.1008-2786.000777
文献标志码:
A
摘要:
土地利用变化对生态系统碳储量的时空变化具有直接影响。由于以城市群为代表的快速城市化地区的主导功能并非提供固碳等生态系统服务,因而对其研究相对较少,更多关注流域、湿地、山地等重要生态保护地土地利用变化对碳储量的影响。然而,这类区域生态系统固碳具有变化过程快、变化程度强烈的特征,对碳储量具有重要影响,因而有待于进一步研究。本文利用InVEST模型分析成都平原经济区2000—2020年碳储量的时空演变,探究土地利用变化对碳储量的影响,利用PLUS模型预测2030年不同情景下土地利用变化和碳储量的时空变化。结果表明:(1)20年间,研究区土地利用变化显著,主要表现为建设用地翻倍增加,耕地面积大量减少。(2)2000—2010 年碳储量小幅上升(0.18%),2010—2020年碳储量小幅下降(0.76%),生态系统固碳能力有所下降。其中,碳储量减少区主要位于各城市中心城区和雅安市西部的山地; 碳储量减少主要源于建设用地快速扩张和耕地被大量占用; 退耕还林虽增加了生态系统固碳能力,但林地开垦为耕地或转化为草地又抵消了退耕还林带来的碳储量增加。(3)经济优先的政策情景将导致建设用地侵占林地和耕地,部分质量较差的森林向草地转化,碳储量显著下降,且下降总量是前20年下降总量的1.7倍; 严格限制新增建设用地政策和生态建设工程的实施,可增强生态系统固碳能力,并助力成都平原经济区“双碳”目标的实现。本研究可为成都平原经济区自然资源管理、国土空间规划及“双碳”目标的实现提供科学依据。
Abstract:
Land use change has a direct impact on spatio-temporal changes in ecosystem carbon stocks(ECS). Since the dominant function of rapidly urbanizing regions represented by urban agglomerations is not the provision of ecosystem services such as carbon sequestration, relatively few studies of related had been carried out on them, with more attention being paid to the impact of land-use changes in important ecological reserves such as watersheds, wetlands and mountains on carbon stocks. However, carbon sequestration in ecosystems in such urbanizing regions is characterized by rapid and strong processes of change, with important implications for carbon stocks, and thus requires further study.
In this study, it analyzed the spatio-temporal changes in carbon stocks in Chengdu Plain Economic Zone(CPEZ)from 2000 to 2020 using InVEST(Integrated Valuation of Ecosystem Services and Tradeoffs)model, and examined how land use changes influenced these carbon stock changes. Then it predicted the spatio-temporal changes of land use with resulting changes in carbon stocks under different economic and ecological scenarios in 2030 using a PLUS model.
It found that(1)There were a remarkable changes in land use in CPEZ, manifested by a nearly twofold increase in construction land and a substantial decrease in cropland from 2000 to 2020.(2)Carbon stocks increased slightly(0.18%), then followed by a decline(0.76%), with a net loss of 16.80×106 t from 2000 to 2020. This indicated that the Zone shifted from a carbon sink to a carbon source, and the carbon sequestration capacity declined. Spatially, the decrease in carbon stocks occurred mainly in the urban areas of CPEZ and the mountainous areas in the west of Ya'an city, which was mainly due to the rapid expansion of construction land and the large occupation of cultivated land. Although great efforts in afforestation and reforestation positively increased the carbon sequestration capacity of ecosystems, the reclamation of woodland for cultivated land or conversion to grassland unavoidably offset the increase.(3)Supposing a policy scenario of economy priority in CPEZ, it will lead to the encroachment of construction land into forested and cultivated land, the conversion of some of the poorer quality forests into grasslands, and a significant decline in carbon stocks, with the total decline being 1.7 times that of the total decline in the previous 20 years. The implementation of a policy of strictly restriction to the increase in construction land and ecological restoration by protection projects will enhance the capacity of the ecosystem to sequester carbon and help realize “Carbon Peak and Neutrality”targetof the Chengdu Plain Economic Zone.
This study can provide a scientific basis for natural resource management, territorial spatial planning and the realization of “Carbon Peak and Neutrality”target in the Chengdu Plain Economic Zone.

参考文献/References:

[1] United Nations General Assembly. Transforming our world: The 2030 agenda for sustainable development [R]. New York: United Nations, 2015: 1-9.
[2] 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[J]. 中国科学院院刊, 2015, 30(6): 848-857. [FANG Jingyun, YU Guirui, REN Xiaobo, et al. Carbon sequestration in China's terrestrial ecosystems under climate change—progress on ecosystem carbon sequestration from the CAS strategic priority research program [J]. Bulletin of the Chinese Academy of Sciences, 2015, 30(6): 848-857] DOI: 10.16418/j.issn.1000-3045.2015.06.019
[3] 马晓哲, 王铮. 土地利用变化对区域碳源汇的影响研究进展[J]. 生态学报, 2015, 35(17): 5898-5907. [MA Xiaozhe,WANG Zheng. Progress in the study on the impact of land-use change on regional carbon sources and sinks [J]. Acta Ecologica Sinica, 2015, 35(17): 5898-5907] DOI: 10.5846/stxb201312112932
[4] TIAN Shiqi, WANG Shijie, BAI Xiaoyong, et al. Global patterns and changes of carbon emissions from land use during 1992-2015 [J]. Environmental Science and Ecotechnology, 2021, 7: 100108. DOI: 10.1016/j.ese.2021.100108
[5] WANG Shaojian, GAO Chuang, HUANG Yongyuan, et al. Spatiotemporal evolution of urban carbon emission performance in China and prediction of future trends [J]. Journal of Geographical Science. 2020, 30(5): 757-774. DOI: 10.1007/s11442-020-1754-3
[6] HINGE G, SURAMPALLI R Y, GOYAL M K. Regional carbon fluxes from land-use conversion and land-use management in northeast India [J]. Journal of Hazardous, Toxic, and Radioactive Waste, 2018, 22: 4018016. DOI: 10.1061/(ASCE)HZ.2153-5515.0000404
[7] 孙方虎, 方凤满, 洪炜林, 等. 基于PLUS和InVEST模型的安徽省碳储量演化分析与预测[J]. 水土保持学报, 2023, 37(1): 151-158. [SUN Fanghu, FANG Fengman, HONG Weilin, et al. Evolution analysis and prediction of carbon storage in Anhui province based on PLUS and InVEST model [J]. Journal of Soil and Water Conservation, 2023, 37(1): 151-158] DOI: 10.13870/j.cnki.stbcxb.2023.01.021
[8] HE Chunyang, ZHANG Da, HUANG Qingxu, et al. Assessing the potential impacts of urban expansion on regional carbon storage by linking the LUSD-urban and InVEST models [J]. Environmental Modelling and Software, 2016, 75: 44-58. DOI: 10.1016/j.envsoft.2015.09.015
[9] 张斌, 李璐, 夏秋月, 等. “三线”约束下土地利用变化及其对碳储量的影响——以武汉城市圈为例[J].生态学报, 2022, 42(6): 2265-2280. [ZHANG Bin, LI Lu, XIA Qiuyue, et al. Land use change and its impat on carbon storage under the constraints of “three lines”: A case study of Wuhan city circle [J]. Acta Ecologica Sinica, 2022, 42(6): 2265-2280] DOI: 10.5846/stxb202101070075
[10] 方创琳, 周成虎, 顾朝林, 等. 特大城市群地区城镇化与生态环境交互耦合效应解析的理论框架及技术路径[J]. 地理学报, 2016, 71(4): 531-550. [FANG Chuanglin, ZHOU Chenghu, GU Chaolin, et al. Theoretical analysis of interactive coupled effects between urbanization and eco-environment in mega-urban agglomerations [J]. Acta Geographica Sinica, 2016, 71(4): 531-550] DOI: 10.11821/dlxb201604001
[11] 朱志强, 马晓双, 胡洪. 基于耦合FLUS-InVEST模型的广州市生态系统碳储量时空演变与预测[J]. 水土保持通报, 2021, 41(2): 222-229+239. [ZHU Zhiqiang, MA Xiaoshuang, HU Hong. Spatio-temporal evolution and prediction of ecosystem carbon stocks in Guangzhou city by coupling FLUS-InVEST models [J]. Bulletin of Soil and Water Conservation, 2021, 41(2): 222-229+239] DOI: 10.13961/j.cnki.stbctb.2021.02.030
[12] JIANG Lei, LI Chongyang, SONG Bo, et al. Impacts of land use/cover changes on carbon storage in Beijing 1990-2010 [J]. International Journal of Environmental Studies, 2015, 72(6): 972-982. DOI: 10.1080/00207233.2015.1054140
[13] HUTYRA L R, YOON B, HEPINSTALL-CYMERMAN J, et al. Carbon consequences of land cover change and expansion of urban lands: A case study in the Seattle metropolitan region [J]. Landscape and Urban Planning, 2011, 103(1): 83-93. DOI: 10.1016/j.landurbplan.2011.06.004
[14] IPCC/UNEP/OECD/IEA. Revised 1996 IPCC guidelines for national greenhouse gas inventories [R]. Paris: Intergovernmental Panel on Climate Change, United Nations Environment Program, Organization for Economic Co-operation and Development, International Energy Agency, 1997.
[15] SHI Kaifang, CHEN Yun, YU Bailang, et al. Modeling spatiotemporal CO2(carbon dioxide)emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis [J]. Applied Energy, 2016, 168: 523-533. DOI: 10.1016/j.apenergy.2015.11.055
[16] 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 [J]. Tellus B: Chemical and Physical Meteorology, 2003, 55(2): 378-390. DOI: 10.3402/tellusb.v55i2.16764
[17] 杨绪红, 金晓斌, 刘晶, 等. 土地利用碳排放核算系统设计与实现[J]. 测绘通报, 2019(4): 54-59. [YANG Xuhong, JIN Xiaobin, LIU Jing, et al. Design and implementation of system estimating carbon emission induced by land use/cover change [J]. Bulletin of Surveying and Mapping, 2019(4): 54-59] DOI: 10.13474/j.cnki.11-2246.2019.0112
[18] 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. [LIU Yang, ZHANG Jun, ZHOU Dongmei, et al. Temporal and spatial variation of carbon storage in the Shule River Basin based on InVEST model [J]. Acta Ecologica Sinica, 2021, 41(10): 4052-4065] DOI: 10.5846/stxb201911152452
[19] NOGUEIRA E M, YANAI A M, DE VASCONCELOS S S, et al. Carbon stocks and losses to deforestation in protected areas in Brazilian Amazonia [J]. Regional Environmental Change, 2018, 18: 261-270. DOI: 10.1007/s10113-017-1198-1
[20] IMRAN M, DIN N. Geospatially mapping carbon stock for mountainous forest classes using InVEST model and Sentinel-2 data: A case of Bagrote valley in the Karakoram range [J]. Arabian Journal of Geosciences, 2021, 14(9): 756. DOI: 10.1007/s12517-021-07023-4
[21] 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. [ZHANG Pingping, LI Yanhong, YIN Haoran, et al. Spatio-temporal variation and dynamic simulation of ecosystem carbon storage in the north-south transitional zone of China [J]. Journal of Natural Resources, 2022, 37(5): 1183-1197] DOI: 10.31497/zrzyxb.20220506
[22] 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): 2965-2976. [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): 2965-2976] DOI: 10.19674/j.cnki.issn1000-6923.20220209.002
[23] 李双志,张小玲,樊晋,等. 成都平原经济区冬季细颗粒物的区域输送及潜在来源研究[J]. 环境污染与防治,2023,45(6):817-821. [LI Shuangzhi, ZHANG Xiaoling, FAN Jin, et al. Regional transport and potential sources of fine particulate matter in the Chengdu Plain Economic Zone in winter [J]. Environmental Pollution & Control, 2023, 45(6):817-821] DOI:10.15985/j.cnki.1001-3865.2023.06.012.
[24] 刘燕, 叶晴琳. 动机与能力:成都平原经济区大气污染协同治理的政策研究[J]. 公共管理与政策评论, 2022, 11(6): 49-58. [LIU Yan, YE Qinglin. Motivation and capability: A policy study on coordinated air pollution control in Chengdu Plain Economic Zone [J]. Public Administration and Policy Review, 2022, 11(6): 49-58]
[25] YANG Ye, LAN Haifeng, LI Jing. Spatial econometric analysis of the impact of socioeconomic factors on PM2.5 concentration in China's inland cities: A case study from Chengdu Plain Economic Zone [J]. International Journal of Environmental Research and Public Health, 2020, 17(1): 74. DOI: 10.3390/ijerph17010074
[26] 石师,金晓斌,王世磊,等. 高自然价值耕地内涵解析、特征识别与分类管控——以成都平原经济区为例[J]. 自然资源学报,2023,38(11):2856-2871. [SHI Shi, JIN Xiaobin, WANG Shi-lei, et al. Connotation analysis, feature identification, and classification control of High Nature Value cultivated land:Take Chengdu Plain Economic Zone as an example[J], Journal of Natural Resources, 2023, 38(11): 2856-2871] DOI: 10.31497/zrzyxb.20231111.
[27] 马伟龙, 任平, 曾雨晴. 成都平原经济区耕地生态系统涵养水源价值时空演变特征[J]. 中国土地科学, 2015, 29(10): 85-94. [MA Weilong, REN Ping, ZENG Yuqing. The characteristics for the spatial-temporal evolution of water conservation value in farmland ecosystem in Chengdu Plain Economic Zone [J]. China Land Sciences, 2015, 29(10): 85-94] DOI: 10.11994/zgtdkx.2015.10.012
[28] 锁利铭, 张朱峰. 科技创新、府际协议与合作区地方政府间合作——基于成都平原经济区的案例研究[J]. 上海交通大学学报(哲学社会科学版), 2016, 24(4): 61-71. [SUO Liming, ZHANG Zhufeng. Science and technology innovation, inter-local agreements and collaboration among local governments in cooperation zone: A case study of Chengdu Plain Economic Zone [J]. Journal of Shanghai Jiaotong University(Philosophy and Social Sciences), 2016, 24(4): 61-71] DOI: 10.13806/j.cnki.issn1008-7095.2016.04.006
[29] 李瑾璞, 夏少霞, 于秀波, 等. 基于InVEST模型的河北省陆地生态系统碳储量研究[J]. 生态与农村环境学报, 2020, 36(7): 854-861. [LI Jinpu, XIA Shaoxia, YU Xiubo, et al. Evaluation of carbon storage on terrestrial ecosystem in Hebei province based on InVEST model [J]. Journal of Ecology and Rural Environment, 2020, 36(7): 854-861] DOI: 10.19741/j.issn.1673-4831.2019.0918
[30] 向书江, 张骞, 王丹, 等. 近20年重庆市主城区碳储量对土地利用/覆被变化的响应及脆弱性分析[J].自然资源学报, 2022, 37(5): 1198-1213. [XIANG Shujiang, ZHANG Qian, WANG Dan, et al. Response and vulnerability analysis of carbon storage to LUCC in the main urban area of Chongqing during 2000-2020 [J]. Journal of Natural Resources, 2022, 37(5): 1198-1213] DOI: 10.31497/zrzyxb.20220507
[31] 张优. 基于LUCC的成都平原地区碳排放效应研究[D]. 成都: 四川师范大学, 2018: 1-92. [ZHANG You. Study on carbon emission effect Chengdu Plain area based on LUCC [D]. Chengdu: Sichuan Normal University, 2018: 1-92]
[32] 陈朝亮, 张文君, 武锋强, 等. 县域土地利用变化对碳储量影响分析——以四川省梓潼县为例[J]. 西南科技大学学报, 2018, 33(2): 27-32. [CHEN Chaoliang, ZHANG Wenjun, WU Fengqiang, et al. Analysis of influence of land use change on carbon stock in county area—take Zitong county of Sichuan province as example [J]. Journal of Southwest University of Science and Technology, 2018, 33(2): 27-32]
[33] 伍丹, 朱康文, 张晟, 等. 基于PLUS模型和InVEST模型的成渝经济区碳储量演化分析[J]. 三峡生态环境监测, 2022, 7(2): 85-96. [WU Dan, ZHU Kangwen, ZHANG Sheng, et al. Evolution analysis of carbon stock in Chengdu-Chongqing Economic Zone based on PLUS model and InVEST model [J]. Ecology and Environmental Monitoring of Three Gorges, 2022, 7(2): 85-96] DOI:10.19478/j.cnki.2096-2347.2022.02.10
[34] 庄子薛, 谢梦晴, 张文萍, 等. 基于FLUS-InVEST模型的碳储量时空变迁及多情景模拟预测——以成德眉资地区为例[J]. 风景园林, 2022, 29(5): 38-44. [ZHUANG Zixue, XIE Mengqing, ZHANG Wenping, et al. Temporal and spatial changes and multi-scenario simulation prediction of carbon storage based on FLUS-In VEST model: A case study of Chengdu-Deyang-Meishan-Ziyang area [J]. Landscape Architecture, 2022, 29(5): 38-44] DOI: 10.14085/j.fjyl.2022.05.0038.07
[35] 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. [HU Feng, ZHANG Yan, GUO Yu, et al. Spatial and temporal changes in land use and habitat quality in the Weihe River Basin based on the PLUS and InVEST models and predictions [J]. Arid Land Geography, 2022, 45(4): 1125-1136] DOI: 10.12118/j.issn.1000-6060. 2021.510
[36] 王保盛, 廖江福, 祝薇, 等. 基于历史情景的FLUS模型邻域权重设置——以闽三角城市群2030年土地利用模拟为例[J]. 生态学报, 2019, 39(12): 4284-4298. [WANG Baosheng, LIAO Jiangfu, ZHU Wei, et al. The weight of neighborhood setting of the FLUS model based on a historical scenario: A case study of land use simulation of urban agglomeration of the Golden Triangle of southern Fujian in 2030 [J]. Acta Ecologica Sinica, 2019, 39(12): 4284-4298] DOI: 10.5846/stxb201808021649
[37] 王旭, 马伯文, 李丹, 等. 基于FLUS模型的湖北省生态空间多情景模拟预测[J]. 自然资源学报, 2020, 35(1): 230-242. [WANG Xu, MA Bowen, LI Dan, et al. Multi-scenario simulation and prediction of ecological space in Hubei province based on FLUS model [J]. Journal of Natural Resources, 2020, 35(1): 230-242] DOI: 10.31497/zrzyxb.20200119
[38] 任凤玲. 不同施肥下我国典型农田土壤有机碳固定特征及驱动因素[D]. 北京: 中国农业科学院, 2021: 1-158. [REN Fengling. Soil carbon sequenstration and its driving factors under different fertilization in arable land of China [D]. Beijing: Chinese Academy of Agricultural Sciences, 2021: 1-158]
[39] 方华军, 杨学明, 张晓平. 东北黑土有机碳储量及其对大气CO2的贡献[J]. 水土保持学报, 2003, 17(3): 9-12+20. [FANG Huajun, YANG Xueming, ZHANG Xiaoping. Organic carbon stock of black soils in northeast China and it's contribution to atmospheric CO2 [J]. Journal of Soil and Water Conservation, 2003,17(3): 9-12+20] DOI: 10.13870/j.cnki.stbcxb.2003.03.003
[40] 朱直君, 彭耕, 熊琳, 等. 成都都市圈空间协同策略探讨[J]. 规划师, 2020, 36(19): 79-83. [ZHU Zhijun, PENG Geng, XIONG Lin, et al. Coordinated spatial development strategies of Chengdu metropolitan area [J]. Planners, 2020, 36(19): 79-83]
[41] 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): 120-128. [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): 120-128] DOI: 10.14067/j.cnki.1673-923x.2021.03.013
[42] 张颖, 李晓格, 温亚利. 碳达峰碳中和背景下中国森林碳汇潜力分析研究[J]. 北京林业大学学报, 2022, 44(1): 38-47. [ZHANG Ying, LI Xiaoge, WEN Yali. Forest carbon sequestration potential in China under the background of carbon emission peak and carbon neutralization [J]. Journal of Beijing Forestry University, 2022, 44(1): 38-47] DOI: 10.12171/j.1000-1522.20210143
[43] 张碧天, 闵庆文, 焦雯珺, 等. 生态系统服务权衡研究进展[J]. 生态学报, 2021, 41(14): 5517-5532. [ZHANG Bitian, MIN Qingwen, JIAO Wenjun, et al. Research progress and perspective on ecosystem services trade-offs [J]. Acta Ecologica Sinica, 2021, 41(14): 5517-5532] DOI: 10.5846/stxb202008182151
[44] 黄麟, 祝萍, 曹巍. 中国退耕还林还草对生态系统服务权衡与协同的影响[J]. 生态学报, 2021, 41(3): 1178-1188. [HUANG Lin, ZHU Ping, CAO Wei. The impacts of the Grain for Green Project on the trade-off and synergy relationships among multiple ecosystem services in China [J]. Acta Ecologica Sinica, 2021, 41(3): 1178-1188] DOI: 10.5846/stxb202001200156
[45] 侯建坤, 陈建军, 张凯琪, 等. 基于InVEST和GeoSoS-FLUS模型的黄河源区碳储量时空变化特征及其对未来不同情景模式的响应[J]. 环境科学, 2022, 43(11): 5253-5262. [HOU Jiankun, CHEN Jianjun, ZHANG Kaiqi, et al.Temporal and spatial variation characteristics of carbon storage in the source region of the Yellow River based on InVEST and GeoSoS-FLUS models and its response to different future scenarios [J]. Environmental Science, 2022, 43(11): 5253-5262] DOI: 10.13227/j.hjkx.202201267

相似文献/References:

[1]李跃林,彭少麟,赵平,等.鹤山几种不同土地利用方式的土壤碳储量研究[J].山地学报,2002,(05):548.
[2]刘刚,朱剑云,叶永昌,等.东莞主要森林群落凋落物碳储量及其空间分布[J].山地学报,2010,(01):69.

备注/Memo

备注/Memo:
收稿日期(Received date): 2023-04-14; 改回日期(Accepted date):2023-10-30
基金项目(Foundation item): 国家自然科学基金重点项目(42230506); 北京大学地理科学拔尖人才培养计划项目。[Key Program of National Natural Science Foundation of China(42230506); Undergraduate Student Research Training Program of the Ministry of Education of China]
作者简介(Biography): 赵桐(2001-), 男, 四川江油市人, 本科生。主要研究方向: 国土空间规划。[ZHAO Tong(2001-), male, born in Jiangyou, Sichuan province, undergraduate, research on territorial spatial planning] E-mail: 2000013388@stu.pku.edu.cn
*通讯作者(Corresponding author): 蒙吉军(1971-), 男, 博士,副教授,主要研究方向:土地利用变化的生态效应。[MENG Jijun(1971-), male, Ph.D., associate professor, research on ecological effects of land use change] E-mail: jijunm@pku.edu.cn
更新日期/Last Update: 2023-09-30