滨海城市LULC对陆地生态系统服务价值与储碳的影响-以大连市为例
作者单位:

大连海洋大学

中图分类号:

X826

基金项目:

辽宁省高校优秀科技人才支持计划(LR2013035)


Effects of Land Use Change on Terrestrial Ecosystem Service Value and Carbon Storage in Dalian City
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [55]
  • | | | |
  • 文章评论
    摘要:

    [目的] 生态系统服务价值(ESV)是评估区域土地利用变化是否科学的重要手段之一,关系地区可持续发展。评估滨海城市ESV和陆地碳储存(TCS)变化,为大连市经济发展与生态系统服务价值调控提供依据。[方法] 利用2000—2020年5期土地利用数据和相关数据,基于土地动态度、当量因子法、土地转移矩阵、ESV贡献率、TCS和主成分分析法,计算大连市土地利用变化动态及其对ESV,TCS和陆地碳储存价值(TCSV)的影响。[结果](1) 在空间分布上,大连市建设用地主要侵占西南部沿海地区的耕地和林地。(2) 2000—2020年的4个时间阶段,大连市生态系统服务价值呈现先降后升,持续加剧下降的发展趋势;耕地面积减少,建设用地面积增长对生态系统服务功能保持造成直接影响。(3) 2000—2020年的4个时间阶段,大连市TCS和TCSV呈现先升后降,持续加剧下降的发展趋势;林地面积减少直接影响TCS功能的保持。(4) 2000—2020年大连市土地利用转移矩阵中,以耕地、林地、草地转出,建设用地转入为主;造成不同地类的生态系统服务贡献差异,贡献度大小为耕地,林地、湿地、水域、草地和未利用地。(5) 2000—2020年大连市的ESV,TCS变化主要受经济GDP增长,调整三大产业结构和镇化水平发展影响。[结论] 从大连市经济发展,ESV提升、TCS能力提升和可持续发展角度出发,需要着重关注滨海岸线建设用地扩张与生态用地和农业用地的冲突问题,加强对北部林草生态用地的保护,加快滨海地带生态环境修复工作,提升生态用地的碳封存能力,避免建设用地无限制盲目扩张。

    Abstract:

    [Objective] Ecosystem services value (ESV) is one of the important measures used to evaluate whether regional land use change is scientific. ESV is related to regional sustainable development. ESV and terrestrial carbon storage (TCS) changes in coastal cities were evaluated in order to provide a basis for economic development and ESV regulation in Dalian City. [Methods] Five periods of land use data and related data from 2000 to 2020 were analyzed in this study. Land dynamics, the equivalent factor method, a land transfer matrix, ESV contribution rate, TCS, and principal component analysis were used to calculate the land use change dynamics in Dalian City and their impacts on ESV, TCS, and terrestrial carbon storage value (TCSV). [Results] (1) Construction land in Dalian City mainly encroached on farmland and forest land in the southwestern coastal area. (2) During the four time periods from 2000 to 2020, ESV in Dalian City initially decreased and then increased, and the decline continued to intensify. The decrease in arable land area and the increase in construction land area had a direct impact on the maintenance of ecosystem service functions. (3) During the four time periods from 2000 to 2020, TCS and TCSV in Dalian City initially increased and then decreased, and the decline continued to intensify. The reduction of forest area directly affected the maintenance of TCS function. (4) In the land use transfer matrix for Dalian City from 2000 to 2020, farmland, forest land, and grassland were mainly transferred out, while construction land was mainly transferred in. The contribution of ecosystem services varied among different land use types, with contributions ranging from cultivated land, forest land, wetlands, water bodies, grasslands, and unused land. (5) The changes in ESV and TCS in Dalian City from 2000 to 2020 were mainly influenced by economic GDP growth, adjustments to the three major industrial structures, and the development of urbanization level. [Conclusion] From the perspective of economic development, ESV improvement, TCS capacity improvement, and sustainable development in Dalian City, it is necessary to focus on the conflict between the expansion of coastal construction land and ecological and agricultural land, strengthen the protection of northern forest and grass ecological land, accelerate the ecological environment restoration work in coastal areas, enhance the carbon sequestration capacity of ecological land, and avoid unrestricted blind expansion of construction land.

    参考文献
    [1] Turner Billie,Meyer William B,Skole David L. Global Land-use/land-cover Change: Towards an Integrated Study[M], 1994: 91-95.
    [2] Ganasri B,Raju A,Dwarakish G. Different approaches for land use land cover change detection: A review[J]. Res. Rev. J. Eng. Technol, 2013, 2: 44-48.
    [3] Li Xiangmei,Wang Ying,Li Jiangfeng, et al. Physical and socioeconomic driving forces of land-use and land-cover changes: A Case Study of Wuhan City, China[J]. Discrete Dynamics in Nature and Society, 2016, 2016.
    [4] 杨浩,王子羿,王婧,等.京津冀城市群土地利用变化对热环境的影响研究[J].自然资源学报,2018,33(11):1912-1925.
    [5] Fei Li,Shuwen Zhang,Jiuchun Yang, et al. Effects of land use change on ecosystem services value in West Jilin since the reform and opening of China[J]. Ecosystem Services, 2018, 31: 12-20.
    [6] 王志恒,刘玲莉.生态系统结构与功能:前沿与展望[J].植物生态学报,2021,45(10):1033-1035.
    [7] 徐彩瑶,濮励杰,朱明.沿海滩涂围垦对生态环境的影响研究进展[J].生态学报,2018,38(3):1148-1162.
    [8] Bateman Ian J,Harwood Amii R,Mace Georgina M, et al. Bringing ecosystem services into economic decision-making: land use in the United Kingdom[J]. Science, 2013, 341(6141): 45-50.
    [9] Collard SJ,Zammit C. Effects of land-use intensification on soil carbon and ecosystem services in Brigalow (Acacia harpophylla) landscapes of southeast Queensland, Australia[J]. Agriculture, Ecosystems Environment, 2006, 117(2): 185-194.
    [10] Natkhin Marco,Dietrich Ottfried,Sch?fer Meike Pendo, et al. The effects of climate and changing land use on the discharge regime of a small catchment in Tanzania[J]. Regional Environmental Change, 2015, 15(7): 1269-1280.
    [11] Lorencová Eli?ka,Frélichová Jana,Nelson Edward, et al. Past and future impacts of land use and climate change on agricultural ecosystem services in the Czech Republic[J]. Land Use Policy, 2013, 33: 183-194.
    [12] Daniel Dale W,Smith Loren M,Belden Jason B, et al. Effects of land-use change and fungicide application on soil respiration in playa wetlands and adjacent uplands of the US High Plains[J]. Science of the Total Environment, 2015, 514: 290-297.
    [13] Wang Xuechao,Dong Xiaobin,Liu Huiming, et al. Linking land use change, ecosystem services and human well-being: A case study of the Manas River Basin of Xinjiang, China[J]. Ecosystem Services, 2017, 27: 113-123.
    [14] Costanza Robert,d''Arge Ralph,De Groot Rudolf, et al. The value of the world''s ecosystem services and natural capital[J]. Nature, 1997, 387(6630): 253-260.
    [15] Gashaw Temesgen,Tulu Taffa,Argaw Mekuria, et al. Estimating the impacts of land use/land cover changes on Ecosystem Service Values: The case of the Andassa watershed in the Upper Blue Nile basin of Ethiopia[J]. Ecosystem Services, 2018, 31: 219-228.
    [16] Talukdar Swapan,Singha Pankaj,Mahato Susanta, et al. Dynamics of ecosystem services (ESs) in response to land use land cover (LU/LC) changes in the lower Gangetic plain of India[J]. Ecological Indicators, 2020, 112: 106121.
    [17] Biratu Abera Assefa,Bedadi Bobe,Gebrehiwot Solomon Gebreyohannis, et al. Ecosystem Service Valuation along Landscape Transformation in Central Ethiopia[J]. Land, 2022, 11(4): 500.
    [18] 谢高地,甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J].自然资源学报,2008,(5):911-919.
    [19] 欧阳志云,王效科,苗鸿.中国陆地生态系统服务功能及其生态经济价值的初步研究[J].生态学报,1999,(5):19-25.
    [20] 陈仲新,张新时.中国生态系统效益的价值[J].科学通报,2000,(1):17-22, 113.
    [21] 谢高地,张彩霞,张雷明,等.基于单位面积价值当量因子的生态系统服务价值化方法改进[J].自然资源学报,2015,30(8):1243-1254.
    [22] 吴攀,杨木壮,刘伟聪.2007-2015年东莞市土地利用及其生态系统服务价值的时空演变[J].水土保持通报,2020,40(1):250-255.
    [23] 张天海,田野,徐舒,等.滨海城市土地利用格局演变及对生态系统服务价值的影响[J].生态学报,2018,38(21):7572-7581.
    [24] 王兆峰,许静.土地利用演变对国家公园生态系统服务价值的影响——以三江源国家公园为例[J].生态学报,2022,(17):1-11.
    [25] 王颖慧,丁建丽,李晓航,等.伊犁河流域土地利用/覆被变化对生态系统服务价值的影响——基于强度分析模型[J].生态学报,2022,42(8):3106-3118.
    [26] 卓昭君,柯樱海,洪剑明,等.2000年以来张家口坝上高原生态系统服务价值及其变化[J].湿地科学,2022,20(2):162-175.
    [27] Zhang Mei,Huang Xianjin,Chuai Xiaowei, et al. Impact of land use type conversion on carbon storage in terrestrial ecosystems of China: A spatial-temporal perspective[J]. Scientific Reports, 2015, 5(1): 1-13.
    [28] Liu Xiaoping,Wang Shaojian,Wu Peijun, et al. Impacts of urban expansion on terrestrial carbon storage in China[J]. Environmental Science Technology, 2019, 53(12): 6834-6844.
    [29] 张凯琪,陈建军,侯建坤,等.耦合InVEST与GeoSOS-FLUS模型的桂林市碳储可持续发展研究[J].中国环境科学,2022,42(6):2799-2809.
    [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.
    [31] Yu Zhen,Lu Chaoqun,Cao Peiyu, et al. Long‐term terrestrial carbon dynamics in the Midwestern United States during 1850–2015: Roles of land use and cover change and agricultural management[J]. Global Change Biology, 2018, 24(6): 2673-2690.
    [32] Dida Jan Joseph V,Tiburan Jr Cristino L,Tsutsumida Narumasa, et al. Carbon stock estimation of selected watersheds in Laguna, Philippines using InVEST[J]. Philippine Journal of Science, 2021, 150(2): 501-513.
    [33] 隋玉正,孙大鹏,李淑娟,等.碳储存变化背景下东营市海岸带生态系统保护修复[J].生态学报,2021,41(20):8112-8123.
    [34] Li Kongming,Cao Jianjun,Adamowski Jan F, et al. Assessing the effects of ecological engineering on spatiotemporal dynamics of carbon storage from 2000 to 2016 in the Loess Plateau area using the InVEST model: A case study in Huining County, China[J]. Environmental Development, 2021, 39: 100641.
    [35] 王蓓,赵军,胡秀芳.基于InVEST模型的黑河流域生态系统服务空间格局分析[J].生态学杂志,2016,35(10):2783-2792.
    [36] Li Lu,Song Yan,Wei Xuhua, et al. Exploring the impacts of urban growth on carbon storage under integrated spatial regulation: A case study of Wuhan, China[J]. Ecological Indicators, 2020, 111: 106064.
    [37] 叶剑平,高峰.我国快速城镇化背景下滨海地带土地开发利用探讨[J].现代管理科学,2017,(6):9-11.
    [38] 朱丽亚,胡克,孙爽,等.基于InVEST模型的辽宁省海岸带碳储量时空变化研究[J].现代地质,2022,36(1):96-104.
    [39] 杨怀宇,王春晓,郭宗香,等.池塘养殖生态系统空气调节服务价值的实证研究[J].长江流域资源与环境,2009,18(5):432-438.
    [40] 徐婕,潘洪义,曹文亚,等.基于LUCC的眉山市县域碳排放效应[J].四川师范大学学报(自然科学版),2020,43(5):683-689.
    [41] 辛琨,肖笃宁.盘锦地区湿地生态系统服务功能价值估算[J].生态学报,2002,(8):1345-1349.
    [42] 李小建.中国经济地理思想的历史演变及发展走向[J].地理学报,2022,77(8):1873-1891.
    [43] 崔岩,黄永亮.中国社会质量指标指数分析[J].国家行政学院学报,2018,(4):84-90, 150.
    [44] 王晶,高艳云.中国地区贫困与社会发展不匹配问题[J].财经科学,2018,(9):95-106.
    [45] 佟孟华,褚翠翠,李洋.中国经济高质量发展的分布动态、地区差异与收敛性研究[J].数量经济技术经济研究,2022,39(6):3-22.
    [46] 陈娟,王龙,赵欣运,等.贵阳市城镇化进程与土地利用转变关系[J].地球科学,2019,44(9):2944-2954.
    [47] 虎陈霞,郭旭东,连纲,等.长三角快速城市化地区土地利用变化对生态系统服务价值的影响——以嘉兴市为例[J].长江流域资源与环境,2017,26(3):333-340.
    [48] Zhang Chao,Zhong Shuai,Wang Xue, et al. Land Use Change in Coastal Cities during the Rapid Urbanization Period from 1990 to 2016: A Case Study in Ningbo City, China[J]. Sustainability, 2019, 11(7): 2122.
    [49] Li Ying,Feng Yu,Guo Xiaorong, et al. Changes in coastal city ecosystem service values based on land use—A case study of Yingkou, China[J]. Land Use Policy, 2017.
    [50] 李毅,肖腊梅,胡文敏,等.长株潭核心区土地利用变化时空格局及驱动力多维分析[J].经济地理,2021,41(7):173-182.
    [51] 张宇晗,张兵华,彭琳,等.福州市2005—2020年土地利用变化及驱动因素研究[J].福州大学学报(自然科学版),2022,50(3):408-416.
    [52] 张建,雷刚,漆良华,等.2003—2018年土地利用变化对丹江口市景观格局与生态服务价值的影响[J].生态学报,2021,41(4):1280-1290.
    [53] 郭晓荣,李颖,林霞.低碳目标下的滨海城市土地利用优化配置——以大连市为例[J].海洋信息,2016,(1):43-47.
    [54] 王天福,龚直文,邓元杰.基于土地利用变化的陕西省植被碳汇提质增效优先区识别[J].自然资源学报,2022,37(5):1214-1232.
    [55] 张晓光,张赢心,李士美,等.基于土地利用的青岛市碳排放变化特征与预测[J].地理空间信息,2022,20(5):1-5.
    相似文献
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文
分享
文章指标
  • 点击次数:156
  • 下载次数: 545
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 收稿日期:2023-04-19
  • 最后修改日期:2023-06-19
  • 录用日期:2023-06-25
  • 在线发布日期: 2023-11-09