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Remote Sensing for Natural Resources    2022, Vol. 34 Issue (4) : 243-253     DOI: 10.6046/zrzyyg.2021409
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SDG15-oriented analysis on the spatiotemporal dynamics of ecosystem services in Qianjiangyuan National Park
LI Bo(), LIN Wenpeng(), LI Lubing
School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
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Abstract  

Ecosystem services are the bridge between ecology and human well-being, hence rapid and accurate assessment of their changes is very important for regional sustainable development. Sustainable Development Goal 15 (SDG15) also provides a new direction for the calculation of ecosystem services. The Qianjiangyuan is the origin of the Qiantang River and the only pilot national park in the Yangtze River Delta region at present. However, it is necessary to further clarify the spatiotemporal distribution and changes of the ecosystem services in Qianjiangyuan. Based on the 2010—2020 remote sensing monitoring data of land cover in the pilot area and oriented to the SDG15 indicators, this study quantitatively assessed the spatiotemporal variation characteristics of ecosystem services in Qianjiangyuan National Park using the InVEST model and the univariate and bivariate Moran’s I spatial autocorrelation methods. The results are shown as follows. ① From 2010 to 2020, the values of ecosystem services gradually increased by 15.21%. Specifically, cultural services grew the fastest by 19.70%, regulating services grew by 16.27%, and supply services decreased by 1.72%. ② The spatial distribution of ecosystem service values showed a gradually decreasing trend from the northeast and the southwest to the center. ③ The spatiotemporal changes in land cover types slowed the growth of ecosystem services under the land development restriction. The reduced areas of wetlands and water bodies and ecological quality led to declined spatial aggregation and value of some ecosystem services. ④ Ecosystem services can be regarded as an indicator of SDG15. The study results are expected to provide a theoretical basis and technical support for the construction of Qianjiangyuan National Park and support the sustainable development of the regional ecological environment.
Keywords Qianjiangyuan National Park      ecosystem services      Moran’s I index      InVEST model      SDG15     
ZTFLH:  TP79  
Issue Date: 27 December 2022
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Bo LI
Wenpeng LIN
Lubing LI
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Bo LI,Wenpeng LIN,Lubing LI. SDG15-oriented analysis on the spatiotemporal dynamics of ecosystem services in Qianjiangyuan National Park[J]. Remote Sensing for Natural Resources, 2022, 34(4): 243-253.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021409     OR     https://www.gtzyyg.com/EN/Y2022/V34/I4/243
Fig.1  Research area map
一级指标 指标含义 二级指标 指标含义 三级指标 指标含义 数据表达
SDG15 保护、恢复和促进可持续利用陆地生态系统,可持续管理森林,防治荒漠化,制止和扭转土地退化,遏制生物多样性的丧失 SDG15.1 保护、恢复和可持续利用陆地和内陆的淡水生态系统及其服务,特别是森林、湿地、山麓和旱地 SDG15.1.1 森林面积占陆地总面积的比例 公式(1)
SDG15.1.2 保护区内陆地和淡水生物多样性的重要场地所占比例,按生态系统类型分列 公式(3)
SDG15.2 推动对所有类型森林进行可持续管理,停止毁林,恢复退化的森林,大幅增加全球植树造林和重新造林 SDG15.2.1 实施可持续森林管理的进展 公式(2)
Tab.1  Selection and classification of SDG15
Fig.2  Distribution of land use types in the study area from 2010 to 2020
Fig.3  Habitat quality (above) and carbon stock (below) changes
Fig.4  Potential soil loss and average water yield in watershed units
Fig.5  Moran’s I scatter plot of bivariate spatial autocorrelation between four single indicators
年份 生境质量/
年产水量		 生境质量/
碳储量		 生境质量/
土壤流失量		 年产水量/
碳储量		 年产水量/
土壤流失量		 土壤流失量/
碳储量
2010年 0.196***① 0.261*** -0.055*** 0.231*** 0.162*** 0.102***
2013年 0.038*** 0.178*** -0.098*** 0.092*** 0.311*** 0.009***
2017年 0.131*** 0.246*** 0.013*** 0.099*** -0.078*** 0.016***
2020年 0.154*** 0.465*** 0.058*** 0.198*** 0.084*** 0.098***
Tab.2  Moran’s I index of bivariate spatial autocorrelation for single index of four types of ecosystem services
服务类型 2010年 2013年 2017年 2020年
供给服务 29 709.15 30 259.10 29 407.93 29 196.93
调节服务 287 691.83 335 299.07 337 081.44 334 508.44
支持服务 98 628.30 109 463.70 111 994.37 113 873.32
文化服务 19 091.79 22 017.21 22 581.78 22 852.93
Tab.3  Proportion of value of different ecosystem services ($)
Fig.6  Amount of value that ecosystem services can provide from 2010 to 2020
Fig.7  Spatial distribution of ecosystem service value
Fig.8  Significance cluster map of ecosystem service value of Lisa
年份 供给/支持服务 供给/调节服务 供给/文化服务 支持/调节服务 调节/文化服务 支持/文化服务
2010年 0.018***① -0.049*** -0.039*** 0.058*** 0.079*** -0.062***
2013年 0.002*** 0.082*** -0.049*** 0.096*** 0.091*** -0.013***
2017年 -0.043*** 0.040*** -0.005*** 0.061*** -0.001*** -0.005***
2020年 -0.176*** -0.085*** -0.157*** 0.116*** -0.192*** 0.012***
Tab.4  Moran’s I index of bivariate spatial autocorrelation of four typical ecosystem services
Fig.9  Moran’s I spatial autocorrelation scatter diagram of four typical ecosystem services
Fig.10  Time change diagram of SDG15.1.1 and SDG15.2.1
Fig.11  Moran’s I index change of Spatial autocorrelation of ecosystem services
[1] 国务院. 国务院办公厅印发《建立国家公园体制总体方案》[EB/OL]. http://www.gov.cn/zhengce/2017-09/26/content_5227713.htm .
url: http://www.gov.cn/zhengce/2017-09/26/content_5227713.htm
[1] State Council. The General Office of the State Council issued the “Overall Plan for Establishing the National Park System”[EB/OL]. http://www.gov.cn/zhengce/2017-09/26/content_5227713.htm .
url: http://www.gov.cn/zhengce/2017-09/26/content_5227713.htm
[2] 何思源, 苏杨, 闵庆文. 中国国家公园的边界、分区和土地利用管理——来自自然保护区和风景名胜区的启示[J]. 生态学报, 2019, 39(4):1318-1329.
[2] He S Y, Su Y, Min Q W. Boundary,zoning,and land use management of the China National Parks:Learning from nature reserves and scenic areas[J]. Acta Ecologica Sinica, 2019, 39(4):1318-1329.
[3] 虞虎, 陈田, 钟林生, 等. 钱江源国家公园体制试点区功能分区研究[J]. 资源科学, 2017, 39(1):20-29.
doi: 10.18402/resci.2017.01.03
[3] Yu H, Chen T, Zhong L S, et al. Functional zoning of the Qianjiangyuan National Park system pilot area[J]. Resources Science, 2017, 39(1):20-29.
doi: 10.18402/resci.2017.01.03
[4] 殷楠, 王帅, 刘焱序. 生态系统服务价值评估:研究进展与展望[J]. 生态学杂志, 2021, 40(1):233-244.
[4] Yin N, Wang S, Liu Y X. Ecosystem service value assessment:Research progress and prospect[J]. Chinese Journal of Ecology, 2021, 40(1):233-244.
[5] Yang S Q, Zhao W W, Liu Y X, et al. Prioritizing sustainable development goals and linking them to ecosystem services:A global expert’s knowledge evaluation[J]. Geography and Sustainability, 2020, 1(4):321-330.
[6] Peng K F, Jiang W G, Ling Z Y, et al. Evaluating the potential impacts of land use changes on ecosystem service value under multiple scenarios in support of SDG reporting:A case study of the Wuhan urban agglomeration[J]. Journal of Cleaner Production, 2021, 307:127321.
doi: 10.1016/j.jclepro.2021.127321 url: https://linkinghub.elsevier.com/retrieve/pii/S0959652621015407
[7] Costanza R, d’Arge R, Groot R de, et al. The value of the world’s ecosystem services and natural capital[J]. Nature, 1997, 387(6630):253-260.
doi: 10.1038/387253a0 url: https://doi.org/10.1038/387253a0
[8] Li X, Guo J, Qi S. Forestland landscape change induced spatiotemporal dynamics of subtropical urban forest ecosystem services value in forested region of China:A case of Hangzhou City[J]. Environmental Research, 2021, 195:110926.
doi: 10.1016/j.envres.2021.110926 url: https://linkinghub.elsevier.com/retrieve/pii/S0013935121002206
[9] Grammatikopoulou I, Vačkářová D. The value of forest ecosystem services:A meta-analysis at the European scale and application to national ecosystem accounting[J]. Ecosystem Services, 2021, 48: 101262.
doi: 10.1016/j.ecoser.2021.101262 url: https://linkinghub.elsevier.com/retrieve/pii/S2212041621000206
[10] 赵亮, 刘吉平, 田学智. 近60年挠力河流域生态系统服务价值时空变化[J]. 生态学报, 2013, 33(10):3169-3176.
[10] 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.
[11] Perosa F, Fanger S, Zingraff-Hamed A, et al. A meta-analysis of the value of ecosystem services of floodplains for the Danube River Basin[J]. Science of the Total Environment, 2021, 777:146062.
doi: 10.1016/j.scitotenv.2021.146062 url: https://linkinghub.elsevier.com/retrieve/pii/S0048969721011293
[12] 亢红霞, 那晓东, 臧淑英. 1980—2010年松嫩平原湿地生态服务功能价值评估[J]. 国土资源遥感, 2017, 29(2):193-200.doi:10.6046/gtzyyg.2017.02.28.
doi: 10.6046/gtzyyg.2017.02.28
[12] Kang H X, Na X D, Zang S Y. Research on the evaluation of wetland ecosystem services of Songnen Plain during 1980—2010[J]. Remote Sensing for Land and Resources, 2017, 29(2):193-200.doi:10.6046/gtzyyg.2017.02.28.
doi: 10.6046/gtzyyg.2017.02.28
[13] 马依拉·热合曼, 买买提·沙吾提, 尼格拉·塔什甫拉提, 等. 基于遥感与GIS的渭库绿洲生态系统服务价值时空变化研究[J]. 生态学报, 2018, 38(16):5938-5951.
[13] Mayila R H M, Mamat S W T, Nigela T X P L T, et al. The ecosystem service value spatial-temporal changes in the Ugan-Kuqa River Delta Oasis based on RS and GIS[J]. Acta Ecologica Sinica, 2018, 38(16):5938-5951.
[14] 张瑜, 赵晓丽, 左丽君, 等. 黄土高原土地利用变化对生态系统服务价值的影响[J]. 国土资源遥感, 2019, 31(3):132-139.doi:10.6046/gtzyyg.2019.03.17.
doi: 10.6046/gtzyyg.2019.03.17
[14] Zhang Y, Zhao X L, Zuo L J, et al. The impact of land use change on ecosystem services value in Loess Plateau[J]. Remote Sensing for Land and Resources, 2019, 31(3):132-139.doi:10.6046/gtzyyg.2019.03.17.
doi: 10.6046/gtzyyg.2019.03.17
[15] 胡和兵, 刘红玉, 郝敬锋, 等. 城市化流域生态系统服务价值时空分异特征及其对土地利用程度的响应[J]. 生态学报, 2013, 33(8):2565-2576.
[15] Hu H B, Liu H Y, Hao J F, et al. Spatio-temporal variation in the value of ecosystem services and its response to land use intensity in an urbanized watershed[J]. Acta Ecologica Sinica, 2013, 33(8):2565-2576.
doi: 10.5846/stxb201201100048 url: http://www.ecologica.cn/stxb/ch/reader/view_abstract.aspx?file_no=stxb201201100048
[16] Aziz T. Changes in land use and ecosystem services values in Pakistan,1950—2050[J]. Environmental Development, 2021, 37:100576.
doi: 10.1016/j.envdev.2020.100576 url: https://linkinghub.elsevier.com/retrieve/pii/S2211464520300981
[17] 汪清川, 奚砚涛, 刘欣然, 等. 生态服务价值对土地利用变化的时空响应研究——以徐州市为例[J]. 自然资源遥感, 2021, 33(3):219-228.doi:10.6046/zrzyyg.2020305.
doi: 10.6046/zrzyyg.2020305
[17] Wang Q C, Xi Y T, Liu X R, et al. Spatial-temporal response of ecological service value to land use change:A case study of Xuzhou City[J]. Remote Sensing for Natural Resources, 2021, 33(3):219-228.doi:10.6046/zrzyyg.2020305.
doi: 10.6046/zrzyyg.2020305
[18] 李晶, 李红艳, 张良. 关中—天水经济区生态系统服务权衡与协同关系[J]. 生态学报, 2016, 36(10):3053-3062.
[18] Li J, Li H Y, Zhang L. Ecosystem service trade-offs in the Guanzhong-Tianshui economic region of China[J]. Acta Ecologica Sinica, 2016, 36(10):3053-3062.
[19] 胡毅, 乔伟峰, 何天祺. 江淮生态经济区土地利用格局及生态系统服务价值变化[J]. 长江流域资源与环境, 2020, 29(11):2450-2461.
[19] Hu Y, Qiao W F, He T Q. Land use pattern and ecosystem service value changes in the Jianghuai Ecological Economic Zone[J]. Resources and Environment in the Yangtze Basin, 2020, 29(11):2450-2461.
[20] 郑德凤, 郝帅, 吕乐婷, 等. 三江源国家公园生态系统服务时空变化及权衡-协同关系[J]. 地理研究, 2020, 39(1):64-78.
doi: 10.11821/dlyj020180898
[20] Zheng D F, Hao S, Lyu L T, et al. Spatiotemporal changes and trade-off-synergy relationship of ecosystem services in the Three Rivers Source National Park[J]. Geographical Research, 2020, 39(1):64-78.
[21] 何思源, 苏杨, 王蕾, 等. 构建促进保护地社区资源使用与保护目标协调的社会情境分析工具——武夷山国家公园试点区实践[J]. 生态学报, 2019, 39(11):3861-3870.
[21] He S Y, Su Y, Wang L, et al. Developing a social context analysis tool to facilitate communities’ conservation behavior in protected areas:An experiment in the Wuyishan National Park pilot[J]. Acta Ecologica Sinica, 2019, 39(11):3861-3870.
[22] 肖练练, 钟林生, 虞虎, 等. 功能约束条件下的钱江源国家公园体制试点区游憩利用适宜性评价研究[J]. 生态学报, 2019, 39(4):1375-1384.
[22] Xiao L L, Zhong L S, Yu H, et al. Assessment of recreational use suitability of Qianjiangyuan National Park pilot under the zoning constraints[J]. Acta Ecologica Sinica, 2019, 39(4):1375-1384.
[23] Gong P, Liu H, Zhang M, et al. Stable classification with limited sample:Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017[J]. Science Bulletin, 2019, 64(6):370-373.
doi: 10.1016/j.scib.2019.03.002 url: https://linkinghub.elsevier.com/retrieve/pii/S2095927319301380
[24] Liu L Y, Zhang X, Chen X D, et al.GLC_FCS30- 2020: Global land cover with fine classification system at 30 m in 2020(v1.2)[DB/OL]. Zenodo, 2020.https://doi.org/10.5281/zenodo.4280923.
url: https://doi.org/10.5281/zenodo.4280923
[25] 傅伯杰, 张立伟. 土地利用变化与生态系统服务:概念、方法与进展[J]. 地理科学进展, 2014, 33(4):441-446.
doi: 10.11820/dlkxjz.2014.04.001
[25] Fu B J, Zhang L W. Land-use change and ecosystem services:Concepts,methods and progress[J]. Progress in Geography, 2014, 33(4):441-446.
[26] 李屹峰, 罗跃初, 刘纲, 等. 土地利用变化对生态系统服务功能的影响——以密云水库流域为例[J]. 生态学报, 2013, 33(3):726-736.
[26] Li Y F, Luo Y C, Liu G, et al. Effects of land use change on ecosystem services:A case study in Miyun reservoir watershed[J]. Acta Ecologica Sinica, 2013, 33(3):726-736.
doi: 10.5846/stxb201205280787 url: http://www.ecologica.cn/stxb/ch/reader/view_abstract.aspx?file_no=stxb201205280787
[27] 李丽, 王心源, 骆磊, 等. 生态系统服务价值评估方法综述[J]. 生态学杂志, 2018, 37(4):1233-1245.
[27] Li L, Wang X Y, Luo L, et al. A review of ecosystem service value evaluation methods[J]. Chinese Journal of Ecology, 2018, 37(4):1233-1245.
[28] 高星, 杨刘婉青, 李晨曦, 等. 模拟多情景下白洋淀流域土地利用变化及生态系统服务价值的空间响应[J]. 生态学报, 2021, 41(20):7974-7988.
[28] Gao X, Yang L W Q, Li C X, et al. Land use change and ecosystem service value measurement in Baiyangdian Basin under the simulated multiple scenarios[J]. Acta Ecologica Sinica, 2021, 41(20):7974-7988.
[29] Lin W P, Xu D, Guo P P, et al. Exploring variations of ecosystem service value in Hangzhou Bay Wetland,Eastern China[J]. Ecosystem Services, 2019, 37:100944.
doi: 10.1016/j.ecoser.2019.100944 url: https://linkinghub.elsevier.com/retrieve/pii/S2212041618304352
[30] 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.
[30] Xie G D, Zhang C X, Zhang L M, et al. Improvement of the method of valuing ecosystem services based on unit area value equivalent factors[J]. Journal of Natural Resources, 2015, 30(8):1243-1254.
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