PDF Download

[1]Ma Lin,Liang Yong,Zhang Yaqin,et al.Spatiotemporal Change and Driving Factors of the Eco-Environment Quality of Different Land Covers in Shandong Province Based on RSEI[J].Research of Soil and Water Conservation,2024,31(02):389-400.

Copy

Spatiotemporal Change and Driving Factors of the Eco-Environment Quality of Different Land Covers in Shandong Province Based on RSEI

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 31 Number of periods: 2024 02 Page number: 389-400 Column: Public date: 2024-03-20

Title:: Spatiotemporal Change and Driving Factors of the Eco-Environment Quality of Different Land Covers in Shandong Province Based on RSEI

Author(s):: Ma Lin¹, Liang Yong², Zhang Yaqin², Li Yunpeng²; (1.Jinan Land Reserve Center, Jinan 250099, China; 2.Jinan Survey and Mapping Research Institute, Jinan 250101, China)

Keywords:: Shandong Province; remote sensing ecological index; land use; driving factors

CLC:: Q948

DOI:: -

Abstract:: [Objective] The aim of this study is to clarify the temporal and spatial status of ecological environment quality and the main driving factors of its evolution under the continuous promotion of urbanization in Shandong Province, which is of great importance for recognizing the status quo of ecological environment in Shandong Province and formulating reliable protection strategies and systems in the later stage. [Methods] Based on remote sensing ecological index: a comprehensive index from 1991 to 2021, with the help of Sen trend method, coefficient of variation method, Hurst index method and geographical detector, the characteristics and driving factors of ecological environment quality change in Shandong Province were explored. [Results](1)From 1991 to 2000, the ecological environment quality in Shandong Province showed the decreasing trend and the change was relatively stable. From 2001 to 2010, RSEI showed the increasing trend, mainly stable change trend. From 2011 to 2021, RSEI changes in most areas showed the stable state, and RSEI in woodland and cultivated land areas showed the increasing trend, while other land use types showed the decreasing trend.(2)RSEI will mainly increase in the future period, and the change trend of different land use types in the future period is opposite to that in the past 31 years.(3)Land use change had the greatest impact on the spatial distribution of RSEI in Shandong Province during 1990—2000 and 2001—2010, and the spatial distribution of RSEI during 2011—2021 was greatly affected by humidity change and land use change, and the interaction between land use and other factors had a greater impact on RSEI. [Conclusion] There are significant differences in the sensitivity of ecological environment quality to environmental factors at different periods in Shandong Province, which is caused by the differences in the intensity and mode of human activities in different regions and the vulnerability of ecological environment in different regions. The visual expression of ecological environment quality can reflect the temporal and spatial evolution characteristics of ecological environment quality, and provide important reference information for the decision making of maintaining human-ecological environment balance.

References:: [1] Wang Y F. Analysis on the evolution of spatial relationship between population and economy in the Beijing-Tianjin-Hebei and Shandong region of China[J]. Sustainable Cities and Society, 2022,83:103948.
[2] Li Y H, Jia L R, Wu W H, et al. Urbanization for rural sustainability: Rethinking China's urbanization strategy[J]. Journal of Cleaner Production, 2018,178:580-586.
[3] 孙汇颖,宫巧巧,刘庆果,等.基于土地利用变化的山东省生境质量时空演变特征[J].土壤通报,2022,53(5):1019-1028.
Sun H Y, Gong Q Q, Liu Q G, et al. Spatio-temporal evolution of habitat quality based on the land-use changes in Shandong Province[J]. Chinese Journal of Soil Science, 2022,53(5):1019-1028.
[4] 刘玉红,张筠,张春华,等.2000—2015年山东省植被净初级生产力时空变化及其对气候变化的响应[J].生态学杂志,2019,38(5):1464-1471.
Liu Y H, Zhang J, Zhang C H, et al. Spatial and temporal variations of vegetation net primary productivity and its responses to climate change in Shandong Province from 2000 to 2015[J]. Chinese Journal of Ecology, 2019,38(5):1464-1471.
[5] 庄会波,季妤,高振勇,等.1998—2018年山东省植被覆盖变化及其水文响应规律研究[J].中国农村水利水电,2021(10):8-14,20.
Zhuang H B, Ji Y, Gao Z Y, et al. Research on vegetation cover changes and hydrological responses in Shandong Province from 1998 to 2018[J]. China Rural Water and Hydropower, 2021(10):8-14,20.
[6] 宋鹏飞,季民,刘泽群,等.山东省植被覆盖度变化与气候因子相关性分析[J].测绘科学,2020,45(3):81-86.
Song P F, Ji M, Liu Z Q, et al. Correlation analysis of vegetation coverage change and climate factors in Shandong Province[J]. Science of Surveying and Mapping, 2020,45(3):81-86.
[7] 刘晨曦,陈关州,王铜,等.山东省植被覆盖度长时序动态监测与分析[J].山东农业大学学报:自然科学版,2021,52(4):585-594.
Liu C X, Chen G Z, Wang T, et al. Long-term dynamic monitoring and analysis of vegetation coverage in Shandong Province[J]. Journal of Shandong Agricultural University: Natural Science Edition, 2021,52(4):585-594.
[8] 王雨枫,陈泽文.山东省城市土地集约利用的时空格局演变研究[J].应用基础与工程科学学报,2022,30(6):1420-1427.
Wang Y F, Chen Z W. Study on the evolution of urban land intensive utilization spatio-temporal patterns in Shandong Province[J]. Journal of Basic Science and Engineering, 2022,30(6):1420-1427.
[9] 曲衍波,姜广辉,张佰林,等.山东省农村居民点转型的空间特征及其经济梯度分异[J].地理学报,2017,72(10):1845-1858.
Qu Y B, Jiang G H, Zhang B L, et al. Spatial characteristics of rural residential land transition and its economic gradient differentiation[J]. Acta Geographica Sinica, 2017,72(10):1845-1858.
[10] 张静,杨丽萍,贡恩军,等.基于谷歌地球引擎和改进型遥感生态指数的西安市生态环境质量动态监测[J].生态学报,2023,43(5):2114-2127.
Zhang J, Yang L P, Gong E J, et al. Dynamic monitoring of eco-environmental quality in Xi'an based on GEE and adjusted RSEI[J]. Acta Ecologica Sinica, 2023,43(5):2114-2127.
[11] 罗镕基,王宏涛,王成.基于改进遥感生态指数的甘肃省古浪县生态质量评价[J].干旱区地理,2023,46(4):539-549.
Luo R J, Wang H T, Wang C. Ecological quality evaluation of Gulang County in Gansu Province based on improved remote sensing ecological index[J]. Arid Land Geography, 2023,46(4):539-549.
[12] 张伟,杜培军,郭山川,等.改进型遥感生态指数及干旱区生态环境评价[J].遥感学报,2023,27(2):299-317.
Zhang W, Du P J, Guo S C, et al. Enhanced remote sensing ecological index and ecological environment evaluation in arid area[J]. National Remote Sensing Bulletin, 2023,27(2):299-317.
[13] 曹灿,孙瑞,吴志祥,等.基于SWAT模型的南渡江流域土地利用/覆被变化的径流响应[J].水土保持研究,2022,29(4):167-175.
Cao C, Sun R, Wu Z X, et al. Responses of streamflow to land use/cover changes in Nandu River Basin based on SWAT model[J]. Research of Soil and Water Conservation, 2022,29(4):167-175.
[14] 胡珂,韩念龙,于淼,等.基于遥感生态指数的三亚市土地利用变化模拟[J].中国水土保持科学(中英文),2023,21(1):101-109.
Hu K, Han N L, Yu M, et al. Land use change simulation in Sanya City based on remote sensing ecological index[J]. Science of Soil and Water Conservation, 2023,21(1):101-109.
[15] 刘英,党超亚,岳辉,等.改进型遥感生态指数与RSEI的对比分析[J].遥感学报,2022,26(4):683-697.
Liu Y, Dang C Y, Yue H, et al. Comparison between modified remote sensing ecological index and RSEI[J]. National Remote Sensing Bulletin, 2022,26(4):683-697.
[16] 魏雨涵,钱建平,范伟伟,等.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(中英文),2021,19(1):122-131.
Wei Y H, Qian J P, Fan W W, et al. 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.
[17] 钟欣呈,许泉立.基于RSEI模型的玉溪市生态环境变化监测与评价[J].水土保持研究,2021,28(4):350-357.
Zhong X C, Xu Q L. Monitoring and evaluation of ecological environment changes in Yuxi City based on RSEI model[J]. Research of Soil and Water Conservation, 2021,28(4):350-357.
[18] 李立,肖桂荣.基于RSEI的武夷山国家公园生态环境质量变化分析[J].福建农业科技,2021,52(5):63-70.
Li L, Xiao G R. Analysis on the change of ecological environmental quality in Wuyishan National Park based on RSEI[J]. Fujian Agricultural Science and Technology, 2021,52(5):63-70.
[19] 王丽霞,赵蕊,刘招,等.基于RSEI的延河流域生态环境质量监测与预估[J].干旱区研究,2022,39(3):943-954.
Wang L X, Zhao R, Liu Z, et al. Monitoring and prediction of ecological environmental quality in the Yanhe River Basin based on the remote sensing ecological index[J]. Arid Zone Research, 2022,39(3):943-954.
[20] Yang X Y, Meng F, Fu P J, 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.
[21] 徐涵秋.城市遥感生态指数的创建及其应用[J].生态学报,2013,33(24):7853-7862.
Xu H Q. A remote sensing urban ecological index and its application[J]. Acta Ecologica Sinica, 2013,33(24):7853-7862.
[22] 汪攀,刘毅敏.Sen's斜率估计与Mann-Kendall法在设备运行趋势分析中的应用[J].武汉科技大学学报,2014,37(6):454-457,472.
Wang P, Liu Y M. Application of Sen's slope estimation and Mann-Kendall method in the trend analysis of equipment operation[J]. Journal of Wuhan University of Science and Technology, 2014,37(6):454-457,472.
[23] 徐思瑜,于海明,徐誉维,等.基于RSEI指数的吉林省四平市生态环境质量变化分析[J].城市地质,2022,17(4):477-484.
Xu S Y, Yu H M, Xu Y W, et al. Analysis of ecological environment quality change based on RSEI index in Siping City, Jilin Province[J]. Urban Geology, 2022,17(4):477-484.
[24] Wang J F, Li X H, Christakos G, et al. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China[J]. International Journal of Geographical Information Science, 2010,24(1):107-127.
[25] Zhang T Z, Gao Y, Li C, et al. How human activity has changed the regional habitat quality in an eco-economic zone: Evidence from Poyang Lake eco-economic zone, China[J]. International Journal of Environmental Research and Public Health, 2020,17:6253.
[26] 吴健生,曹祺文,石淑芹,等.基于土地利用变化的京津冀生境质量时空演变[J].应用生态学报,2015,26(11):3457-3466.
Wu J S, Cao Q W, Shi S Q, et al. Spatio-temporal variability of habitat quality in Beijing-Tianjin-Hebei Area based on land use change[J]. Chinese Journal of Applied Ecology, 2015,26(11):3457-3466.
[27] 李胜鹏,柳建玲,林津,等.基于1980—2018年土地利用变化的福建省生境质量时空演变[J].应用生态学报,2020,31(12):4080-4090.
Li S P, Liu J L, Lin J, et al. Spatial and temporal evolution of habitat quality in Fujian Province, China based on the land use change from 1980 to 2018[J]. Chinese Journal of Applied Ecology, 2020,31(12):4080-4090.

Similar References:

Memo

Last Update: 2024-04-20