[1]Zhao Junyuan,Gao Xiang,Liang Jingbo.Spatiotemporal Change and Driving Factors of the Eco-Environment Quality in Beijing Based on RSEI[J].Research of Soil and Water Conservation,2024,31(03):350-362,372.[doi:10.13869/j.cnki.rswc.2024.03.021]
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Spatiotemporal Change and Driving Factors of the Eco-Environment Quality in Beijing Based on RSEI
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 03
Page number:
350-362,372
Column:
Public date:
2024-04-30
- Title:
- Spatiotemporal Change and Driving Factors of the Eco-Environment Quality in Beijing Based on RSEI
- CLC:
- X826
- DOI:
- 10.13869/j.cnki.rswc.2024.03.021
- Abstract:
- [Objective] The aim of this study is to evaluate the ecological environment status of a region, which is of great practical significance for promoting urban construction and economic development, achieving ecological environment protection and sustainable economic and social development in Beijing. [Methods] The remote sensing ecological index(RSEI)coupled with the characteristics of regional greenness, humidity, dryness, and heat was used to explore the temporal and spatial dynamics of eco-environmental quality in Beijing from 1990 to 2020. Sen trend analysis, Manna-Kendall mutation point test, Hurst method, multiple regression, and structural equation model were employed to explore the impact of different environmental factors on the ecological environment quality of Beijing. [Results](1)From 1991 to 2020, the overall ecological environment quality in Beijing showed a decreasing trend. Among them, the ecological environment quality of forest areas showed a trend of ‘increasing decreasing increasing', while the ecological environment quality of shrub areas showed a trend of ‘increasing decreasing increasing decreasing'. The ecological environment quality of grasslands, farmland, wetlands, and impermeable areas showed a trend of ‘decreasing increasing decreasing', while the ecological environment quality of wasteland areas had always shown a trend of ‘decreasing'.(2)The ecological environment quality of impermeable areas was mainly affected by the negative impact of dryness and the positive impact of humidity. Greenness and heat mainly affected them by affecting humidity and dryness. The ecological environment quality of grassland, wasteland, and shrub areas was mainly negatively affected by heat and positively affected by greenness, humidity, and dryness. The ecological environment quality of cultivated land areas was mainly negatively affected by dryness and heat. The ecological environment quality of forest areas was greatly affected by humidity, dryness, heat, and greenness. The ecological environment quality of wetland areas was positively affected by heat, greenness, and humidity, rather than negatively affected by dryness. [Conclusion] The overall direction of policies in maintaining and managing the ecological environment in Beijing is effective. The ecological environment quality in the vast majority of regions is improving, while the ecological environment quality of a few areas has slightly decreased. The targeted policy adjustments should be made to improve the ecological environment quality. However, further standardization of land cover in Beijing and strengthening of natural disaster prevention strategies are still needed in the later stage.
- References:
-
[1] Ji J W, Tang Z Z, Zhang W W, et al. Spatiotemporal and multiscale analysis of the coupling coordination degree between economic development equality and eco-environmental quality in China from 2001 to 2020[J]. Remote Sensing, 2022,14(3):737.
[2] Ji J, Wang S, Zhou Y, et al. Spatiotemporal change and coordinated development analysis of “population-society-economy-resource-ecology-environment” in the Jing-Jin-Ji urban agglomeration from 2000 to 2015[J]. Sustainability 2021,13(7):4075.
[3] 鲁绍伟,李少宁,刘逸菲,等.北京市退耕还林生态效益评估[J].生态学报,2021,41(15):6170-6181.
Lu S W, Li S N, Liu Y F, et al. Ecological benefit evaluation of the Grain for Green Project in Beijing[J]. Acta Ecologica Sinica, 2021,41(15):6170-6181.
[4] 杨婉清,杨鹏,孙晓,等.北京市景观格局演变及其对多种生态系统服务的影响[J].生态学报,2022,42(16):6487-6498.
Yang W Q, Yang P, Sun X, et al. Changes of landscape pattern and its impacts on multiple ecosystem services in Beijing[J]. Acta Ecologica Sinica, 2022,42(16):6487-6498.
[5] 裴子萱,李强,刘婷婷,等.基于GlobeLand30的城市生态用地时空变化特征:以北京市为例[J].生态学报,2022,42(24):10072-10087.
Pei Z X, Li Q, Liu T T, et al. Spatial and temporal change characteristics of ecological land in Beijing based on GlobeLand30[J]. Acta Ecologica Sinica, 2022,42(24):10072-10087.
[6] 冯舒,孙然好,陈利顶.基于土地利用格局变化的北京市生境质量时空演变研究[J].生态学报,2018,38(12):4167-4179.
Feng S, Sun R H, Chen L D. Spatio-temporal variability of habitat quality based on land use pattern change in Beijing[J]. Acta Ecologica Sinica, 2018,38(12):4167-4179.
[7] Piao S, Wang X, Park T, et al. Characteristics, drivers and feedbacks of global greening[J]. Nature Reviews Earth & Environment, 2019,1(1):14-27.
[8] Gerland P, Raftery A E, Sevcikova H, et al. World population stabilization unlikely this century[J]. Science, 2019(346):234-237.
[9] Xu H, Wang M, Shi T, et al. Prediction of ecological effects of potential population and impervious surface increases using a remote sensing based ecological index(RSEI)[J]. Ecological Indicators, 2018,93,730-740.
[10] 王文静,逯非,欧阳志云.国土空间生态修复与保护空间识别:以北京市为例[J].生态学报,2022,42(6):2074-2085.
Wang W J, Lu F, Oyang Z Y. Spatial identification of territory space ecological conservation and restoration: A case study of Beijing[J]. Acta Ecologica Sinica, 2022,42(6):2074-2085.
[11] 北京市统计局.北京统计年鉴—2019[M].北京:中国统计出版社,2019.
Beijing Municipal Bureau of Statistics. Beijing Statistical Yearbook-2019[M]. Beijing: China Statistical Publishing House, 2019.
[12] 国家统计局,生态环境部.中国环境统计年鉴—2018[M].北京:中国统计出版社,2019.
National Bureau of Statistics, Ministry of Ecology and Environment. China environmental statistics yearbook-2018 Beijing[M]. China Statistical Publishing House, 2019.
[13] 王思,张路路,林伟彪,等.基于MODIS—归一化植被指数的广东省植被覆盖与土地利用变化研究[J].生态学报,2022,42(6):2149-2163.
Wang S, Zhang L L, Lin W B, et al. Study on vegetation coverage and land-use change of Guangdong Province based on MODIS-NDVI[J]. Acta Ecologica Sinica, 2022,42(6):2149-2163.
[14] Qin G X, Meng Z Y, Fu Y. Drought and water-use efficiency are dominant environmental factors affecting greenness in the Yellow River Basin, China[J]. Science of the Total Environment, 2022,834:155479.
[15] 王飞,王宗敏,杨海波,等.基于SPEI的黄河流域干旱时空格局研究[J].中国科学:地球科学,2018,48(9):1169-1183.
Wang F, Wang Z M, Yang H B, et al. Study of the temporal and spatial patterns of drought in the Yellow River basin based on SPEI[J]. Scientia Sinica(Terrae),2018,48(9):1169-1183.
[16] 江樟焰,陈云浩,李京.基于Landsat TM数据的北京城市热岛研究[J].武汉大学学报:信息科学版,2016,31(2):120-123.
Jiang Z Y, Chen Y H, Li J. Heat island effect of Beijing based on Landsat TM data[J]. Geomatics and Informat Ion Science of Wuhan Univer Sity, 2006,31(2):120-123.
[17] 谭深,吴炳方,张鑫.基于Google Earth Engine与多源遥感数据的海南水稻分类研究[J].地球信息科学学报,2019,21(6):937-947.
Tan S, Wu B F, Zhang X. Mapping paddy rice in the Hainan province using both Google Earth Engine and remote sensing images[J]. Journal of Geo-Information Science, 2019,21:937-947.
[18] Peng J, Pan Y, Liu Y, et al. Linking ecological degradation risk to identify ecological security patterns in a rapidly urbanizing landscape[J]. Habitat International, 2018,71:110-124.
[19] 魏雨涵,钱建平,范伟伟.基于RSEI的漓江流域生态环境质量动态监测[J].中国水土保持科学,2021,19(1):122-131.
Wei Y H, Qian J P, Fan W W. Dynamic monitoring of ecological environment quality in Lijiang River Basin based on RSEI[J]. Science of Soil and Water Conservation, 2021,19(1):122-131.
[20] 王志超,何新华.基于植被覆盖度和遥感生态指数的成都市锦江区生态质量评估[J].生态与农村环境学报,2021,37(4):492-500.
Wang Z C, He X H. Assessments of ecological quality in Jinjiang district of Chengdu city using the FVC and RSEI models[J]. Journal of Ecology and Rural Environment, 2021,37(4):492-500.
[21] 徐涵秋.区域生态环境变化的遥感评价指数[J].中国环境科学,2013,33(5):889-897.
Xu H Q. A remote sensing index for assessment of regional ecological changes[J]. China Environmental Science, 2013,33(5):889-897.
[22] 程琳琳,王振威,田素锋,等.基于改进的遥感生态指数的北京市门头沟区生态环境质量评价[J].生态学杂志,2021,40(4):1177-1185.
Chen L L, Wang Z W, Tian S F, et al. Evaluation of eco-environmental quality in Mentougou District of Beijing based on improved remote sensing ecological index[J]. Chinese Journal of Ecology, 2021,40(4):1177-1185.
[23] 杨江燕,吴田,潘肖燕,等.基于遥感生态指数的雄安新区生态质量评估[J].应用生态学报,2019,30(1):277-284.
Yang J Y, Wu T, Pan X Y, et al. Ecological quality assessment of Xiong an New Area based on remote sensing ecological index[J]. Chinese Journal of Applied Ecology, 2019,30(1):277-284.
[24] Yang X, Meng F, Fu P, et al. Spatiotemporal change and driving factors of the Eco-Environment quality in the Yangtze River Basin from 2001 to 2019[J]. Ecological Indicators, 2021,131:108214.
[25] Wu S, Gao X, Lei J, et al. Ecological environment quality evaluation of the Sahel region in Africa based on remote sensing ecological index[J]. Journal of Arid Land, 2022(1):14-33.
[26] 徐建华.计量地理学[M].2版.北京:高等教育出版社,2014.
Xu J H. Quantitative geography[M]. Second Edition. Beijing: Higher Education Press, 2014.
[27] Kengdall M G. Rank correlation methods[M]. England: Hafner. Oxford, 1955:1-8.
[28] 成方妍,刘世梁,张月秋,等.基于MODIS序列的北京市土地利用变化对净初级生产力的影响[J].生态学报,2017,37(18):5924-5934.
Chen F Y, Liu S L, Zhang Y Q, et al. Effects of land-use change on net primary productivity in Beijing based on the MODIS series[J]. Acta Ecologica Sinica, 2017,37(18):5924-5934.
[29] 董欣,刘鹏程.基于GEE的土地利用变化对生态系统服务价值的影响研究:以京津冀地区为例[J].华中师范大学学报:自然科学版,2020,54(4):670-678.
Dong X, Liu P C. Impacts study of GEE-based land use changes on Ecosystem Service Value(ESV):take the Beijing-Tianjin-Hebei Region as an example[J]. Journal of Central China Normal University: Natural Sciences,2020,54(4):670-678.
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Last Update:
2024-04-30