• Scopus
  • Chinese Science Citation Database (CSCD)
  • A Guide to the Core Journal of China
  • CSTPCD
  • F5000 Frontrunner
  • RCCSE
Advanced search
Zhang Jingzhou, Wu Xiuqin, Xiao Guiying. Evaluation on carbon storage function under different rocky desertification control models in Jianshui County of Yunnan Province, southwestern China[J]. Journal of Beijing Forestry University, 2018, 40(8): 72-81. DOI: 10.13332/j.1000-1522.20180069
Citation: Zhang Jingzhou, Wu Xiuqin, Xiao Guiying. Evaluation on carbon storage function under different rocky desertification control models in Jianshui County of Yunnan Province, southwestern China[J]. Journal of Beijing Forestry University, 2018, 40(8): 72-81. DOI: 10.13332/j.1000-1522.20180069

Evaluation on carbon storage function under different rocky desertification control models in Jianshui County of Yunnan Province, southwestern China

More Information
  • Received Date: March 04, 2018
  • Revised Date: April 12, 2018
  • Published Date: July 31, 2018
  • ObjectiveThe change of land use resulted from comprehensive rocky desertification control model has caused changes of soil respiration and vegetation on land surface, which will further affect the carbon storage function of ecosystem. This paper aims to reveal the impact of comprehensive rocky desertification control models on carbon storage function under different developing models.
    Methodthis paper takes Jianshui County of Yunnan Province, southwestern China as a case to simulate and predict the impacts of land use change on carbon storage under three developing scenarios (rapid development, rocky desertification control and planning development)in the next 10 years, which was carried out by InVEST combined with Dyna-CLUE models, taking year 2015 as base period.
    ResultThe results showed that: (1)under the rocky desertification control scenario, the area of arbor forest, land used for building, orchard and water area in 2025 all increased to some extent compared with 2015; while the area of unused land, farmland, grassland and shrub land all decreased. Under the rapid development scenario, compared with year 2015, the area of farmland, orchard, land used for building, arbor forest, and water area all increased; the area of unused land, shrub land and grassland all decreased to some extent. Under the planning development scenario, compared with year 2015, the area of farmland, orchard, grassland, land used for building, shrub land, and water area all increased; while the area of unused land and arbor forest decreased somewhat. (2)In 2025, the carbon storage will be 318.72 ×105 t in Jianshui County under the scenario of rocky desertification control, increased by 23.94 ×105 t compared with 2015. This scenario provided the most carbon storage for the study area. Under rapid development scenario, the total carbon storage will be 301.07 ×105 t, increased by 6.29 ×105 t compared with 2015. While under the planning development scenario, the total carbon storage will be 284.89×105 t, which was 9.89×105 t lower than 2015.
    ConclusionThe study reflects the impact of different scenarios of comprehensive rocky desertification control on land use patterns and their carbon storage services in karst ecosystems. It can provide a reference for determination of the regional development model of government managers and implementation of the stratagem of rocky desertification control by stakeholders.
  • [1]
    Cao J H, Yuan D X, Tong L Q, et al. An overview of karst ecosystem in Southwest China:current state and future management[J].Journal of Resources and Ecology, 2015, 6(4):247-256. doi: 10.5814/j.issn.1674-764x.2015.04.008
    [2]
    朱斌, 刘丹一.岩溶地区石漠化综合治理经验、问题及策略[J].林业经济, 2015, 37(5):76-81. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QKC20172017091300192557

    Zhu B, Liu D Y. Comprehensive taming of karst rock desertification in karst region: experience, problems and strategy[J]. Forestry Economy, 2015, 37(5):76-81. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QKC20172017091300192557
    [3]
    国家林业局.中国石漠化状况公报[N].中国绿色时报, 2012-06-18.

    State Forestry Administration. China rocky desertification bulletin[N]. China Green Times, 2012-06-18.
    [4]
    Xie R, Wu X Q. Effects of grazing intensity on soil organic carbon of rangelands in Xilin Gol League, Inner Mongolia, China[J]. Journal of Geographical Sciences, 2016, 26(11):1550-1560. doi: 10.1007/s11442-016-1343-7
    [5]
    蒋忠诚, 覃小群, 曹建华, 等.中国岩溶作用产生的大气CO2碳汇的分区计算[J].中国岩溶, 2011, 30(4):363-367. doi: 10.3969/j.issn.1001-4810.2011.04.002

    Jiang Z C, Qin X Q, Cao J H, et al. Calculation of atmospheric CO2 sink formed in karst progresses of the karst divided regions in China[J]. Chinese Karst, 2011, 30(4):363-367. doi: 10.3969/j.issn.1001-4810.2011.04.002
    [6]
    Tuan Y F. Geography, phenomenology and the study of human nature[J]. The Canadian Geographer/Le Geographe Canadien, 1971, 15(3): 181-192. doi: 10.1111/cag.1971.15.issue-3
    [7]
    Zhao L, Liu J P, Tian X Z. The temporal and spatial variation of the value of ecosystem services of the Naoli River Basin Ecosystem during the last 60 years[J]. Acta Ecologica Sinica, 2013, 33(10): 3169-3176. doi: 10.5846/stxb
    [8]
    Zhang P, Liu Y, Pan Y, et al. Land use pattern optimization based on CLUE-S and SWAT models for agricultural non-point source pollution control[J]. Mathematical and Computer Modelling, 2013, 58(3-4): 588-595. doi: 10.1016/j.mcm.2011.10.061
    [9]
    Tian Z, Wu X Q, Dar E F, et al. SOC storage and potential of grasslands from 2000 to 2012 in central and eastern Inner Mongolia, China[J]. Journal of Arid Land, 2016, 8(3): 364-374. doi: 10.1007/s40333-016-0041-8
    [10]
    Seooelt R, Fath B, Burkhard B, et al. Form follows function proposing a blueprint for ecosystem service assessment based on reviews and case studies[J]. Ecological Indicators, 2012, 21: 145-154. doi: 10.1016/j.ecolind.2011.09.003
    [11]
    Burkhard B, De Groot R, Costanza R, et al. Solutions for sustaining natural capital and ecosystem services[J]. Ecological Indicators, 2012, 21: 1-6. doi: 10.1016/j.ecolind.2012.03.008
    [12]
    高渐飞, 熊康宁.喀斯特生态系统服务价值评价:以贵州花江示范区为例[J].热带地理, 2015, 35(1):111-119. http://d.old.wanfangdata.com.cn/Periodical/rddl201501016

    Gao J F, Xiong K N.Evaluation of karst ecosystem service value:a case study of Huajiang Gorge of Guizhou Province[J].Tropical Geography, 2015, 35(1):111-119. http://d.old.wanfangdata.com.cn/Periodical/rddl201501016
    [13]
    李苇洁, 汪廷梅, 王桂萍, 等.花江喀斯特峡谷区顶坛花椒林生态系统服务功能价值评估[J].中国岩溶, 2010, 29(2):152-154, 161. doi: 10.3969/j.issn.1001-4810.2010.02.008

    Li W J, Wang T M, Wang G P, et al. Value evaluation on the eco-services function of Zanthoxylum planispinum var. dingtanensi woods in Huajiang Karst Valley[J]. Carsologica Sinica, 2010, 29(2): 152-154, 161. doi: 10.3969/j.issn.1001-4810.2010.02.008
    [14]
    陈海鹏, 窦苗.基于InVEST模型的云南小江流域生态系统碳储量及空间格局研究[J].安徽农业科学, 2017, 45(12):51-54. doi: 10.3969/j.issn.0517-6611.2017.12.018

    Chen H P, Dou M. Study on carbon storage and spatial pattern based on InVEST Model in Xiaojiang River Basin of Yunnan Province[J]. Anhui Agricultural Sciences, 2017, 45(12): 51-54. doi: 10.3969/j.issn.0517-6611.2017.12.018
    [15]
    Tao Y H, Bai L R. Carbon storage of ecosystems in holly hill and barren hill karst area[J/OL]. Guihaia: 1-7[2018-04-10].http://kns.cnki.net/kcms/detail/45.1134.Q.20180328.1050.004.html.
    [16]
    梁友嘉, 徐中民, 钟方雷.基于SD和CLUE-S模型的张掖市甘州区土地利用情景分析[J].地理研究, 2011, 30(3):564-576. http://d.old.wanfangdata.com.cn/Periodical/dlyj201103018

    Liang Y J, Xu Z M, Zhong F L. Land use scenario analyses by based on system dynamic model and CLUE-S model at regional scale: a case study of Ganzhou District of Zhangye City[J]. Geographical Research, 2011, 30(3):564-576. http://d.old.wanfangdata.com.cn/Periodical/dlyj201103018
    [17]
    许联芳, 张建新, 陈坤, 等.基于SD模型的湖南省土地利用变化情景模拟[J].热带地理, 2014, 34(6):859-867. http://d.old.wanfangdata.com.cn/Periodical/rddl201406015

    Xu L F, Zhang J X, Chen K, et al.Land use change scenarios simulation in Hunan Province based on the SD Model[J].Tropical Geography, 2014, 34(6):859-867. http://d.old.wanfangdata.com.cn/Periodical/rddl201406015
    [18]
    田多松, 傅碧天, 吕永鹏, 等.基于SD和CLUE-S模型的区域土地利用变化对土壤有机碳储量影响研究[J].长江流域资源与环境, 2016, 25(4):613-620. doi: 10.11870/cjlyzyyhj201604011

    Tian D S, Fu B T, Lü Y P, et al. Effect of region land-use change on soil organic carbon storage based on SD and CLUE-S model[J]. Resources and Environment in the Yangtze Basin, 2016, 25(4):613-620. doi: 10.11870/cjlyzyyhj201604011
    [19]
    唐尧, 祝炜平, 张慧, 等.InVEST模型原理及其应用研究进展[J].生态科学, 2015, 34(3):204-208. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=stkx201503032

    Tang Y, Zhu W P, Zhang H, et al. A review on principle and application of the InVEST model[J]. Ecological Science, 2015, 34(3): 204-208. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=stkx201503032
    [20]
    Tallis H, Ricketts T. InVEST 1.0 beta user's guide: integrated valuation of ecosystem services and tradeoffs[M].Standard: Natural Capital Project, 2011.
    [21]
    王绍强, 周成虎, 李克让, 等.中国土壤有机碳库及空间分布特征分析[J].地理学报, 2000, 55(5):533-544. http://cdmd.cnki.com.cn/Article/CDMD-10538-1012258070.htm

    Wang S Q, Zhou C H, Li K R, et al. Analysis on spatial distribution characteristics of soil organic carbon reservoir in China[J]. Acta Geographica Sinica, 2000, 55(5): 533-544. http://cdmd.cnki.com.cn/Article/CDMD-10538-1012258070.htm
    [22]
    严冬, 李爱农, 南希, 等.基于Dyna-CLUE改进模型和SD模型耦合的山区城镇用地情景模拟研究:以岷江上游地区为例[J].地球信息科学学报, 2016, 18(4):514-525. http://d.old.wanfangdata.com.cn/Periodical/dqxxkx201604010

    Yan D, Li A N, Nan X, et al. The study of urban land scenario simulation in mountain area based on modified Dyna-CLUE model and SDM: a case study of the upper reaches of Minjiang river[J]. Journal of Geo-information Science, 2016, 18(4):514-525. http://d.old.wanfangdata.com.cn/Periodical/dqxxkx201604010
    [23]
    燕腾, 彭一航, 王效科, 等.云南省森林生态系统植被碳储量及碳密度估算[J].西部林业科学, 2015, 44(5):62-67. http://d.old.wanfangdata.com.cn/Periodical/ynlykj201505012

    Yan T, Peng Y H, Wang X K, et al. Estimation of carbon storage and density of forest ecosystem in Yunnan Province[J]. Western Forestry Science, 2015, 44(5):62-67. http://d.old.wanfangdata.com.cn/Periodical/ynlykj201505012
    [24]
    朱超, 赵淑清, 周德成. 1997—2006年中国城市建成区有机碳储量的估算[J].应用生态学报, 2012, 23(5): 1195-1202. http://www.cnki.com.cn/Article/CJFDTOTAL-YYSB201205009.htm

    Zhu C, Zhao S Q, Zhou D C. Organic carbon storage in urban built-up areas of China in 1997-2006[J]. Chinese Journal of Applied Ecology, 2012, 23(5): 1195-1202. http://www.cnki.com.cn/Article/CJFDTOTAL-YYSB201205009.htm
    [25]
    刘江涛, 赵林森.昆明市金碧公园部分生态效益及其抚育管理成本分析[J].西北林学院学报, 2008, 23(4):214-217. http://d.old.wanfangdata.com.cn/Periodical/xblxyxb200804050

    Liu J T, Zhao L S. Quantitative analysis on partial ecological benefits and related tending cost of Jinbi Park, Kunming[J]. Journal of Northwest Forestry University, 2008, 23(4): 214-217. http://d.old.wanfangdata.com.cn/Periodical/xblxyxb200804050
    [26]
    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[J].生态学报, 2006, 26(12):4156-4163. doi: 10.3321/j.issn:1000-0933.2006.12.031

    Huang M, Ji J Y, Cao M K, et al. Modeling study of vegetation shoot and root biomass in China[J]. Acta Ecologica Sinica, 2006, 26(12): 4156-4163. doi: 10.3321/j.issn:1000-0933.2006.12.031
    [27]
    Penman J, Gytarsky M, Hiraishi T, et al. 2006 IPCC guidelines for national greenhouse gas inventories[M]. New York:Inter-governmental Panel on Climate Change, 2006.
    [28]
    Carré F, Hiederer R, Blujdea V, et al. Background guide for the calculation of land carbon stocks in the biofuels sustainability scheme: drawing on the 2006 IPCC guidelines for national greenhouse gas inventories[M]. Luxembourg: Joint Research Center, European Commission, EUR, 2010.
    [29]
    方精云, 郭兆迪, 朴世龙, 等.1981—2000年中国陆地植被碳汇的估算[J].中国科学(地球科学), 2007, 37(6):804-812. http://www.cnki.com.cn/Article/CJFDTOTAL-JDXK200706011.htm

    Fang J Y, Guo Z D, Pu S L, et al. Estimation of carbon sequestration in terrestrial vegetation in China from 1981 to 2000[J]. Scientia Sinica Terrae, 2007, 37(6):804-812. http://www.cnki.com.cn/Article/CJFDTOTAL-JDXK200706011.htm
  • Related Articles

    [1]Xu Wenxu, Bi Huaxing, Wang Yajuan. Effects of watershed landscape pattern on runoff and its components in the loess region of western Shanxi Province, northern China[J]. Journal of Beijing Forestry University, 2023, 45(10): 118-126. DOI: 10.12171/j.1000-1522.20230037
    [2]Wang Fengjuan, Tong Xinyu, Xia Xiaoyu, Fu Qun, Guo Qingqi. Effects of simulated different cooking temperatures on the quality of Korean pine seed oil and principal component analysis[J]. Journal of Beijing Forestry University, 2019, 41(11): 116-124. DOI: 10.13332/j.1000-1522.20190115
    [3]Xu Menglin, Li Guanheng, Ju Limao. Dynamic evaluation and analysis of landscape pattern of Mengshan Scenic Spot based on ENVI technology[J]. Journal of Beijing Forestry University, 2019, 41(10): 107-120. DOI: 10.13332/j.1000-1522.20190240
    [4]WANG Jian-ming, ZHANG Tian-han, YU Lin-qian, DONG Fang-yu, LI Jing-wen, LI Jun-qing, ZHAO Xiu-hai. Analysis of landscape characteristics of forests in northern Changbai Mountains based on ecological protection pattern.[J]. Journal of Beijing Forestry University, 2015, 37(5): 70-80. DOI: 10.13332/j.1000-1522.20140413
    [5]GU Li, WANG Xin-jie, GONG Zhi-wen, ZHANG Hong-mei, LIU Hong-wei. Changes of landscape patterns in Beijing wetlands over the past three decades based on RS and GIS technologies.[J]. Journal of Beijing Forestry University, 2010, 32(4): 65-71.
    [6]ZENG Tao, DI Xue-ying, YU Hong-zhou, SHU Zhan, YANG Guang. Changes of landscape patterns in Xingkai Lake Nature Reserve, northeastern China[J]. Journal of Beijing Forestry University, 2010, 32(4): 52-58.
    [7]ZHANG Xue-xia, CHEN Li-hua. . Effects of watershed landscape pattern on soil and water loss in the Loess Plateau Region.[J]. Journal of Beijing Forestry University, 2008, 30(supp.2): 95-102.
    [8]XIA Bing, YU Xin-xiao, NING Jin-kui, WANG Xiao-ping, QIN Yong-sheng, CHEN Jun-qi. Characteristics of lanscape pattern in Huairou District of Beijing.[J]. Journal of Beijing Forestry University, 2008, 30(supp.2): 53-59.
    [9]WANG Jia, , XIONG Ni-na, DONG Bin, YAN Xiu-jing, SUI Hong-da, FENG Zhong-ke. Land-use and landscape pattern changes in Beijing in recent 20 years based on remote sensing.[J]. Journal of Beijing Forestry University, 2008, 30(增刊1): 83-88.
    [10]WANG Xiao-dan, CHEN Bin-ru, GAO Pan, CHENG Gen-wei. Changes of land use and landscape patterns of the Gongga Mountain area on the eastern edge of Qinghai-Tibetan Plateau[J]. Journal of Beijing Forestry University, 2005, 27(3): 40-45.
  • Cited by

    Periodical cited type(18)

    1. 舒翰俊,范顺祥,姜亚东,王立群,李经纬,宇振荣,刘云慧. 内蒙古耕地景观生态风险评价及生态修复分区. 地球科学与环境学报. 2023(04): 895-906 .
    2. 袁成军,熊康宁,容丽,翁应芳. 喀斯特石漠化生态恢复中的生物多样性研究进展. 地球与环境. 2021(03): 336-345 .
    3. 高敏,王勇,高洁,王家录,毛泳. 喀斯特地区退耕还林工程下生态系统服务变化与关系分析. 水土保持研究. 2020(02): 276-283 .
    4. 李珊珊,李阳兵,王萌萌,罗光杰. 基于微空间单元的岩溶峡谷区土地利用结构演变. 自然资源学报. 2020(04): 908-924 .
    5. 武文昊. 基于遥感数据的常州市土地利用变化及景观格局分析. 辽宁林业科技. 2020(06): 28-31+34 .
    6. 李连强. 我国退耕还林(草)研究趋势及热点分析. 辽宁林业科技. 2020(06): 41-47 .
    7. 王琦,王晓娜,牟惟勇,路斌. 黄石市土地利用景观格局变化研究. 中国农学通报. 2019(09): 81-85 .
    8. 王萌萌,李阳兵,李珊珊. 岩溶槽谷区耕地涨落时空特征与驱动机制. 自然资源学报. 2019(03): 510-525 .
    9. 刘月梅,白小安,杜锦华,刘广亮. 基于土地利用变化的延安市退耕还林工程绩效评价. 现代农业科技. 2018(16): 152-156 .
    10. 宁应之,杨永强,董玟含,张惠茹,马继阳. 土壤纤毛虫群落对不同退还模式生态恢复的响应. 生态学报. 2018(10): 3628-3638 .
    11. 代婷婷,许铭,徐雁南. 乡村聚落时空分布特征及驱动因素分析——以安徽黟县为例. 南京林业大学学报(自然科学版). 2018(05): 155-162 .
    12. 李海燕,张弘强,曾星雨,曲艺,罗春雨,崔玲,高玉慧. 三江平原土地利用动态变化分析. 国土与自然资源研究. 2018(06): 27-29 .
    13. 吕国屏,廖承锐,徐雁南,张婷,李海东. 基于CA-Markov模型的喀斯特地区县域生态系统服务价值动态模拟. 南京林业大学学报(自然科学版). 2017(05): 49-56 .
    14. 赵敏敏,周立华,王思源. 生态政策对库布齐沙漠土地利用格局及生态系统服务价值的影响. 水土保持研究. 2017(02): 252-258 .
    15. 韩磊,朱会利,刘钊. 延安市退耕还林前后土地利用动态变化分析. 西北师范大学学报(自然科学版). 2017(05): 101-108 .
    16. 萨如拉,银山,包慧娟,常月明. 基于土地利用的奈曼旗退耕还林(草)工程定量评价. 赤峰学院学报(自然科学版). 2016(06): 127-128 .
    17. 马慧慧,于海洋,曾春伟,罗玲,牛峰明. 泽州猕猴自然保护区土地利用/覆被及景观格局变化研究. 测绘工程. 2016(10): 31-37 .
    18. 杨民英,李玉辉,庞丹波,俞筱押. 基于GIS和RS的喀斯特水源地景观格局动态变化研究——以大春河小流域为例. 四川农业大学学报. 2016(02): 227-233 .

    Other cited types(17)

Catalog

    Article views (4868) PDF downloads (62) Cited by(35)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return