Volume 13 Issue 3
May  2023
Turn off MathJax
Article Contents
WEI X,SHAO Y,CAI X W,et al.Spatio-temporal characteristics and prediction of carbon storage in terrestrial ecosystems in Lijiang River basin[J].Journal of Environmental Engineering Technology,2023,13(3):1223-1233 doi: 10.12153/j.issn.1674-991X.20220378
Citation: WEI X,SHAO Y,CAI X W,et al.Spatio-temporal characteristics and prediction of carbon storage in terrestrial ecosystems in Lijiang River basin[J].Journal of Environmental Engineering Technology,2023,13(3):1223-1233 doi: 10.12153/j.issn.1674-991X.20220378

Spatio-temporal characteristics and prediction of carbon storage in terrestrial ecosystems in Lijiang River basin

doi: 10.12153/j.issn.1674-991X.20220378
  • Received Date: 2022-04-22
  • Evaluating ecosystem carbon storage is of great significance to regional ecological management. Using InVEST model and PLUS model, based on the interpreted land use data and future land use forecast data, the temporal and spatial characteristics of land use change and carbon storage in Lijiang River basin from 2000 to 2020 were studied, and the variation of carbon storage in different future scenarios was predicted. The results showed that land use change in Lijiang River basin from 2000 to 2020 was manifested in the reduction of cultivated land, forest land and grassland, and the increase in the area of ​​water, construction land and unused land. Under the influence of land use change, the carbon storage in Lijiang River basin decreased by 0.945×106 t from 2000 to 2020, among which the decrease was the largest from 2015 to 2020. The high carbon storage areas were mainly distributed in the high altitude area of the northwest, southwest and east of the basin, while the low carbon storage areas were mainly distributed in the central plain of the basin and obviously expanded from 2000 to 2020, and the carbon reserves of Lingui, Xing'an and Lingchuan counties in the basin decreased significantly. According to prediction, the carbon storage of Lijiang River basin would further decrease under the natural development scenario in 2030, the carbon storage under the cultivated land protection scenario would increase by 0.345 × 106 t compared with the natural development scenario, and the carbon storage under the ecological protection scenario would increase by 1.540 × 106 and 1.195×106 t compared with the natural development scenario and cultivated land protection scenario, respectively. The cultivated land protection scenario could protect the amount of cultivated land, but the expansion of construction land was limited to a great extent; the ecological protection scenario could enhance carbon sequestration capacity, but could not effectively control the reduction of cultivated land area. In the future national land spatial planning of Lijiang River basin, ecological protection and cultivated land protection measures needed to be comprehensively coordinated to enhance the regional carbon sequestration capacity and achieve green and sustainable development.

     

  • loading
  • [1]
    杨元合, 石岳, 孙文娟, 等.中国及全球陆地生态系统碳源汇特征及其对碳中和的贡献[J]. 中国科学:生命科学,2022,52(4):534-574.

    YANG Y H, SHI Y, SUN W J, et al. Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality[J]. Scientia Sinica (Vitae),2022,52(4):534-574.
    [2]
    于贵瑞, 方华军, 伏玉玲, 等.区域尺度陆地生态系统碳收支及其循环过程研究进展[J]. 生态学报,2011,31(19):5449-5459.

    YU G R, FANG H J, FU Y L, et al. Research on carbon budget and carbon cycle of terrestrial ecosystems in regional scale: a review[J]. Acta Ecologica Sinica,2011,31(19):5449-5459.
    [3]
    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 J Y, YU G R, REN X B, 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 Chinese Academy of Sciences,2015,30(6):848-857.
    [4]
    陈耀亮, 罗格平, 叶辉, 等.1975—2005年中亚土地利用/覆被变化对森林生态系统碳储量的影响[J]. 自然资源学报,2015,30(3):397-408.

    CHEN Y L, LUO G P, YE H, et al. Sources and sinks of carbon caused by forest land use change from 1975 to 2005 in central Asia[J]. Journal of Natural Resources,2015,30(3):397-408.
    [5]
    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[J]. 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[J]. Acta Geographica Sinica,2019,74(3):446-459.
    [6]
    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 X H, XU Y T, FAN X F, 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.
    [7]
    杨小琬, 张丽君, 秦耀辰, 等.1995年以来黄河下游碳储量时空变化及驱动因素[J]. 河南大学学报(自然科学版),2022,52(1):20-33. doi: 10.15991/j.cnki.411100.2022.01.003

    YANG X W, ZHANG L J, QIN Y C, et al. Temporal and spatial variation and driving factors of carbon storage in the lower Yellow River since 1995[J]. Journal of Henan University (Natural Science),2022,52(1):20-33. doi: 10.15991/j.cnki.411100.2022.01.003
    [8]
    吴佩君, 刘小平, 黎夏, 等.基于InVEST模型和元胞自动机的城市扩张对陆地生态系统碳储量影响评估: 以广东省为例[J]. 地理与地理信息科学,2016,32(5):22-28.

    WU P J, LIU X P, LI X, et al. Impact of urban expansion on carbon storage in terrestrial ecosystems based on InVEST model and CA: a case study of Guangdong Province, China[J]. Geography and Geo-Information Science,2016,32(5):22-28.
    [9]
    罗楠, 滕耀宝, 胡金龙, 等.漓江流域土地利用变化及与旅游发展关系研究[J]. 西北林学院学报,2021,36(5):262-268.

    LUO N, TENG Y B, HU J L, et al. Changes of land use and its relationship with tourism development in Lijiang River Basin[J]. Journal of Northwest Forestry University,2021,36(5):262-268.
    [10]
    何毅, 唐湘玲.1998—2018年漓江流域土地利用变化对生态系统服务价值的影响[J]. 湖北农业科学,2020,59(22):75-80.

    HE Y, TANG X L. Impact of land use change on ecosystem service value in Lijiang River Basin in 1998-2018[J]. Hubei Agricultural Sciences,2020,59(22):75-80.
    [11]
    左天惠, 陆飞扬, 黄妤.漓江流域土地利用时空变化动态监测与分析[J]. 南方国土资源,2021(12):22-26.
    [12]
    张钰莹, 孙美莹, 杨荣金, 等.西南地区土地利用变化对生态系统服务价值的影响[J]. 环境工程技术学报,2022,12(1):207-214.

    ZHANG Y Y, SUN M Y, YANG R J, et al. Impact of land-use change on ecosystem service value in Southwest China[J]. Journal of Environmental Engineering Technology,2022,12(1):207-214.
    [13]
    马欢, 冯朝阳, 宋婷, 等.1990—2018年赤水河流域土地利用变化分析[J]. 环境工程技术学报,2021,11(3):428-436.

    MA H, FENG C Y, SONG T, et al. Study on the characteristics of land use change in Chishui River Basin from 1990 to 2018[J]. Journal of Environmental Engineering Technology,2021,11(3):428-436.
    [14]
    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[J]. 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[J]. Research of Environmental Sciences,2018,31(11):1909-1917.
    [15]
    吴瑞, 刘桂环, 文一惠.基于InVEST模型的官厅水库流域产水和水质净化服务时空变化[J]. 环境科学研究,2017,30(3):406-414.

    WU R, LIU G H, WEN Y H. Spatiotemporal variations of water yield and water quality purification service functions in Guanting Reservoir Basin based on InVEST model[J]. Research of Environmental Sciences,2017,30(3):406-414.
    [16]
    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[J]. 资源科学,2011,33(10):1932-1939.

    CHUAI X W, HUANG X J, ZHENG Z Q, et al. Land use change and its influence on carbon storage of terrestrial ecosystems in Jiangsu Province[J]. Resources Science,2011,33(10):1932-1939.
    [17]
    方精云, 黄耀, 朱江玲, 等.森林生态系统碳收支及其影响机制[J]. 中国基础科学,2015,17(3):20-25. doi: 10.3969/j.issn.1009-2412.2015.03.004

    FANG J Y, HUANG Y, ZHU J L, et al. Carbon budget of forest ecosystems and its driving forces[J]. China Basic Science,2015,17(3):20-25. doi: 10.3969/j.issn.1009-2412.2015.03.004
    [18]
    荣检. 基于InVEST模型的广西西江流域生态系统产水与固碳服务功能研究[D]. 南宁: 广西师范学院, 2017.
    [19]
    朱鹏飞. 基于InVEST模型的广西沿海地区土地利用/覆被变化的生态效应研究[D]. 南宁: 广西师范学院, 2018.
    [20]
    黄秀雨. 桂西南喀斯特-海岸带土地利用变化及其生态系统服务权衡研究[D]. 南宁: 南宁师范大学, 2021.
    [21]
    张凯琪, 陈建军, 侯建坤, 等.耦合InVEST与GeoSOS-FLUS模型的桂林市碳储量可持续发展研究[J]. 中国环境科学,2022,42(6):2799-2809.

    ZHANG K Q, CHEN J J, HOU J K, et al. Study on sustainable development of carbon storage in Guilin coupled with InVEST and GeoSOS-FLUS model[J]. China Environmental Science,2022,42(6):2799-2809.
    [22]
    LIANG X, GUAN Q F, CLARKE K C, et al. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: a case study in Wuhan, China[J]. Computers, Environment and Urban Systems,2021,85:101569. doi: 10.1016/j.compenvurbsys.2020.101569
    [23]
    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 F, ZHANG Y, GUO Y, 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.
    [24]
    李琛, 高彬嫔, 吴映梅, 等.基于PLUS模型的山区城镇景观生态风险动态模拟[J]. 浙江农林大学学报,2022,39(1):84-94.

    LI C, GAO B P, WU Y M, et al. Dynamic simulation of landscape ecological risk in mountain towns based on PLUS model[J]. Journal of Zhejiang A & F University,2022,39(1):84-94.
    [25]
    WU C Y, CHEN B W, HUANG X J, et al. Effect of land-use change and optimization on the ecosystem service values of Jiangsu Province, China[J]. Ecological Indicators,2020,117:106507. doi: 10.1016/j.ecolind.2020.106507
    [26]
    李妙宇, 上官周平, 邓蕾.黄土高原地区生态系统碳储量空间分布及其影响因素[J]. 生态学报,2021,41(17):6786-6799.

    LI M Y, SHANGGUAN Z P, DENG L. Spatial distribution of carbon storages in the terrestrial ecosystems and its influencing factors on the Loess Plateau[J]. Acta Ecologica Sinica,2021,41(17):6786-6799.
    [27]
    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. doi: 10.12171/j.1000-1522.20210143

    ZHANG Y, LI X G, WEN Y L. 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
    [28]
    任玺锦, 裴婷婷, 陈英, 等.基于碳密度修正的甘肃省土地利用变化对碳储量的影响[J]. 生态科学,2021,40(4):66-74. doi: 10.14108/j.cnki.1008-8873.2021.04.008

    REN X J, PEI T T, CHEN Y, et al. Impact of land use change on carbon storage in Gansu Province based on carbon density correction[J]. Ecological Science,2021,40(4):66-74. doi: 10.14108/j.cnki.1008-8873.2021.04.008
    [29]
    张志国, 班高晗.土地利用变化驱动下洛阳市生态系统碳储量时空变异[J]. 江苏农业科学,2021,49(14):226-230.

    ZHANG Z G, BAN G H. Temporal and spatial variation of ecosystem carbon storage based on land use change in Luoyang City[J]. Jiangsu Agricultural Sciences,2021,49(14):226-230. ◇
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(6)

    Article Metrics

    Article Views(495) PDF Downloads(77) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return