基于RSEI改进模型的生态环境质量评价及驱动机制研究——以湖南省桃江县为例

陈创; 聂平静; 黄凤寸; 樊东; 向莉; 曾剑; 陈方伟; 胡庚辛

doi:10.13961/j.cnki.stbctb.20240528.002

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基于RSEI改进模型的生态环境质量评价及驱动机制研究——以湖南省桃江县为例

试验研究

- 基于RSEI改进模型的生态环境质量评价及驱动机制研究——以湖南省桃江县为例
- Evaluation and Driving Mechanism of Eco-environmental Quality Based on Improved RSEI Model—A Case Study at Taojiang County, Hunan Province
- 水土保持通报 2024年44卷第3期页码：159-170
- 作者机构：
  
  1. 中国地质调查局长沙自然资源综合调查中心,湖南,长沙,410600
  2. 中国地质大学(北京),北京,100083
  3. 昆明理工大学国土资源工程学院,云南,昆明,650031
- 作者简介：
- 基金信息：
  
  中国地质调查局项目“洞庭湖湿地生态修复综合调查”(DD20230478);湖南省重点研发计划项目“洞庭湖区地表基质成层过程碳源/汇效应与固碳潜力研究”(2023SK2066)
- DOI：10.13961/j.cnki.stbctb.20240528.002
  中图分类号： X830
- 纸质出版：2024
- 稿件说明：
移动端阅览
陈创, 聂平静, 黄凤寸, 等. 基于RSEI改进模型的生态环境质量评价及驱动机制研究——以湖南省桃江县为例[J]. 水土保持通报, 2024,44(3):159-170.

Chen Chuang, Nie Pingjing, Huang Fengcun, et al. Evaluation and Driving Mechanism of Eco-environmental Quality Based on Improved RSEI Model—A Case Study at Taojiang County, Hunan Province[J]. Bulletin of Soiland Water Conservation, 2024, 44(3): 159-170.
陈创, 聂平静, 黄凤寸, 等. 基于RSEI改进模型的生态环境质量评价及驱动机制研究——以湖南省桃江县为例[J]. 水土保持通报, 2024,44(3):159-170. DOI： 10.13961/j.cnki.stbctb.20240528.002.

Chen Chuang, Nie Pingjing, Huang Fengcun, et al. Evaluation and Driving Mechanism of Eco-environmental Quality Based on Improved RSEI Model—A Case Study at Taojiang County, Hunan Province[J]. Bulletin of Soiland Water Conservation, 2024, 44(3): 159-170. DOI： 10.13961/j.cnki.stbctb.20240528.002.

摘要

[目的] 为了更好地对丘陵地区生态质量进行监测和评价

构建适用于高植被区的改进型遥感生态指数模型

并探索生态质量的影响因素

为湖南省益阳市桃江县兼顾发展与生态的发展提供科学支撑。[方法] 针对植被指数(NDVI)在植被茂密区的饱和性缺陷，借助改进型遥感生态指数(MRSEI)量化了桃江县2000—2021年生态环境质量时序变化，并利用最优化参数的地理探测器模型对植被覆盖度、降水、气温、土地利用、海拔、人口密度等6个影响因子进行了驱动力分析。[结果] ①与遥感生态指数相比，改进的遥感生态指数模型能够避免高植被覆盖区NDVI饱和性缺陷问题，可以更准确地监测桃江县生态环境。 ②研究区2000—2021年5期的MRSEI均值分别为0.77

0.84

0.83

0.75和0.79，生态环境质量整体表现良好，具有转好—转差—转好的变化特征。 ③从生态环境质量成因分析来看，土地利用是影响研究区生态环境质量的关键因子，交互式探测中，土地利用和海拔交互作用最强。[结论] 改进的RSEI模型能对高植被地区生态环境质量进行准确的评价。桃江县2000—2021年生态环境质量总体处于良好水平且呈上升趋势。生态环境质量变化主要受到自然和人为因素双重影响。

Abstract

[Objective] An improved remote sensing ecological index model suitable for high vegetation area was constructed to better monitor and evaluate the ecological quality of hilly areas

and the influencing factors of ecological quality were explored

in order to provide scientific support for the balance between development and ecology at Taojiang County

Yiyang City

Hunan Province. [Methods] To address the saturation limitations of the normalized difference vegetation index (NDVI) in densely vegetated areas

the improved remote sensing ecological index (MRSEI) was used to quantify the temporal variation in the ecological environment quality of Taojiang County from 2000 to 2021. Additionally

a geographic detector model with optimized parameters was utilized to analyze the driving forces behind six influencing factors

including vegetation coverage

precipitation

temperature

land use

elevation

and population density. [Results] ① Compared with the RSEI model

the MRSEI model more effectively addressed the issue of NDVI saturation in areas with high vegetation cover

enabling a more precise monitoring of the ecological environment in Taojiang County. ② The average RSEI values for the five periods from 2000 to 2021 in the study area were 0.77

0.84

0.83

0.75

and 0.79

respectively

indicating a satisfactory performance in ecological environmental quality with a trend of improvement-deterioration-improvement. ③ From the analysis of the factors influencing ecological environmental quality

land use emerged as a key determining factor in the study area. In the interactive factor detection analysis

the interaction between land use and elevation was the strongest. [Conclusion] The improved RSEI model could accurately evaluate the eco-environmental quality in high-vegetation areas. The eco-environmental quality of Taojiang County was generally at a good level and showed an upward trend from 2000 to 2021. The change of eco-environmental quality was mainly affected by both natural and human factors.

关键词

Keywords

references

吴能杰.益阳市矿山地质环境保护与恢复治理研究[J].世界有色金属,2020(13):189-191.Wu Nengjie. Study on the protection and restoration of mining geological environment in Yiyang City [J]. World Nonferrous Metals, 2020(13):189-191.

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 Hanqiu. A remote sensing urban ecological index and its application [J]. Acta Ecologica Sinica, 2013,33(24):7853-7862.

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 Wei, Du Peijun, Guo Shanchuan, et al. Enhanced remote sensing ecological index and ecological environment evaluation in arid area [J]. National Remote Sensing Bulletin, 2023,27(2):299-317.

李晶,李生财,郭伟,等.基于改进遥感生态指数的山西省及煤炭矿区生态环境分析[J].金属矿山,2023(1):30-39.Li Jing, Li Shengcai, Guo Wei, et al. Ecological environment analysis of Shanxi Province and coal mining areas based on modified remote sensing ecological index [J]. Metal Mine, 2023(1):30-39.

Wang Yin, Wang Yang, Xu Wenzhe, et al. Eco-environmental effect and driving factors of changing “production-living-ecological space” in Northern Xinjiang, China [J]. Frontiers in Ecology and Evolution, 2023,11:1248702.

施智勇,胡晓婷,谢慧黎,等.基于RSEI的生态环境质量评价及驱动力分析: 以闽江流域(福州段)为例[J].测绘通报,2023(2):28-33.Shi Zhiyong, Hu Xiaoting, Xie Huili, et al. Eco-environmental quality assessment and driving force analysis based on RSEI: A case study of the Minjiang River Basin (Fuzhou section) [J]. Bulletin of Surveying and Mapping, 2023(2):28-33.

田智慧,尹传鑫,王晓蕾.鄱阳湖流域生态环境动态评估及驱动因子分析[J].环境科学,2023,44(2): 816-827.Tian Zhihui, Yin Chuanxin, Wang Xiaolei. Dynamic monitoring and driving factors analysis of ecological environment quality in Poyang Lake basin [J]. Environmental Science, 2023,44(2):816-827.

Jelinski D E, Wu Jianguo. The modifiable areal unit problem and implications for landscape ecology [J]. Landscape Ecology, 1996,11(3):129-140.

Gorelick N, Hancher M, Dixon M, et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone [J]. Remote Sensing of Environment, 2017,202:18-27.

Camps-Valls G, Campos-Taberner M, Moreno-Martínez Á, et al. A unified vegetation index for quantifying the terrestrial biosphere [J]. Science Advances, 2021,7(9):eabc7447.

Ju Hongrun, Zhang Zengxiang, Zuo Lijun, et al. Driving forces and their interactions of built-up land expansion based on the geographical detector: A case study of Beijing, China [J]. International Journal of Geographical Information Science, 2016,30(11):2188-2207.

湖南省桃江县林业局.绿色明珠耀湘中:湖南省桃江县创建全国绿化模范单位(县、市、区)纪实[J].国土绿化,2013(9):20-21.The pearl of green shines in Hunan Province: On-the-spot report on the establishment of national greening model units (counties, cities and districts) in Taojiang County, Hunan Province [J]. Land Greening, 2013(9):20-21.

李茂林,闫庆武,李桂娥.基于EVI的锡林郭勒生态脆弱性评价[J].测绘通报,2022(10):21-27.Li Maolin, Yan Qingwu, Li Guie. The evaluation of ecological vulnerability of Xilingol based on EVI [J]. Bulletin of Surveying and Mapping, 2022(10):21-27.

徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595.Xu Hanqiu. A study on information extraction of water body with the modified normalized difference water index (MNDWI) [J]. Journal of Remote Sensing, 2005,9(5):589-595.

赵桔超,朱彦辉,段国辉,等.基于MOD13Q1数据分析2001—2015年西双版纳植被变化特征[J].生态学杂志,2019,38(4):1083-1092.Zhao Juchao, Zhu Yanhui, Duan Guohui, et al. Spatial and temporal dynamics of vegetation in Xishuangbanna from 2001 to 2015 based on MOD13Q1 data [J]. Chinese Journal of Ecology, 2019,38(4):1083-1092.

白燕英,高聚林,张宝林.基于NDVI与EVI的作物长势监测研究[J].农业机械学报,2019,50(9):153-161.Bai Yanying, Gao Julin, Zhang Baolin. Monitoring of crops growth based on NDVI and EVI [J]. Transactions of the Chinese Society for Agricultural Machinery, 2019,50(9):153-161.

周家香,朱建军,左廷英.IKONOS图像的缨帽变换方法[J].矿山测量,2006(1):13-14.Zhou Jiaxiang, Zhu Jianjun, Zuo Tingying. A method of the tasseled cap transformation for IKONOS images [J]. Mine Surveying, 2006(1):13-14.

Huang C, Wylie B, Yang L, et al. Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance [J]. International Journal of Remote Sensing, 2002,23(8):1741-1748.

Rikimaru A, Roy P S, Miyatake S. Tropical forest cover density map

. Tropical ecology, 2002,43(1):39-47.

徐涵秋.一种快速提取不透水面的新型遥感指数[J].武汉大学学报(信息科学版),2008,33(11):1150-1153.Xu Hanqiu. A new remote sensing index for fastly extracting impervious surface information [J]. Geomatics and Information Science of Wuhan University, 2008,33(11):1150-1153.

王劲峰,徐成东.地理探测器: 原理与展望[J].地理学报,2017,72(1):116-134.Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective [J]. Acta Geographica Sinica, 2017,72(1):116-134.

汪孝贤,张秀霞,李旺平,等.基于遥感生态指数(RSEI)改进模型的祁连山国家级自然保护区生态环境质量评价[J].生态与农村环境学报,2023,39(7):853-863.Wang Xiaoxian, Zhang Xiuxia, Li Wangping, et al. Assessment of ecological environment quality in Qilian Mountain national nature reserve based on improved RSEI model [J]. Journal of Ecology and Rural Environment, 2023,39(7):853-863.

单薇,金晓斌,孟宪素,等.基于多源遥感数据的土地整治生态环境质量动态监测[J].农业工程学报,2019,35(1):234-242.Shan Wei, Jin Xiaobin, Meng Xiansu, et al. Dynamical monitoring of ecological environment quality of land consolidation based on multi-source remote sensing data [J]. Transactions of the Chinese Society of Agricultural Engineering, 2019,35(1):234-242.

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.Cheng Linlin, Wang Zhenwei, Tian Sufeng, 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.

Gupta K, Kumar P, Pathan S K, et al. Urban neighborhood green index: A measure of green spaces in urban areas [J]. Landscape and Urban Planning, 2012,105(3):325-335.

Badgley G, Field C B, Berry J A. Canopy near-infrared reflectance and terrestrial photosynthesis [J]. Science Advances, 2017,3(3):e1602244.

张华,宋金岳,李明,等.基于GEE的祁连山国家公园生态环境质量评价及成因分析[J].生态学杂志,2021,40(6):1883-1894.Zhang Hua, Song Jinyue, Li Ming, et al. Eco-environmental quality assessment and cause analysis of Qilian Mountain National Park based on GEE [J]. Chinese Journal of Ecology, 2021,40(6):1883-1894.

Ye Xi, Kuang Honghai. Evaluation of ecological quality in southeast Chongqing based on modified remote sensing ecological index [J]. Scientific Reports, 2022,12(1):15694.

李建华.保土治水优化生态环境: 桃江县全面实施生态环境建设示范工程[J].湖南林业,1999(11):15.Li Jianhua. Protecting soil, controlling water and optimizing ecological environment: Taojiang County fully implements the demonstration project of ecological environment construction [J]. Forestry and Ecology, 1999(11):15.

Yuan Baodong, Fu Lina, Zou Yeai, et al. Spatiotemporal change detection of ecological quality and the associated affecting factors in Dongting Lake basin, based on RSEI [J]. Journal of Cleaner Production, 2021,302:126995.

郝兴明,陈亚宁,李卫红.塔里木河流域近50年来生态环境变化的驱动力分析[J].地理学报,2006,61(3):262-272.Hao Xingming, Chen Yaning, Li Weihong. The driving forces of environmental change during the last 50 years in the Tarim River basin [J]. Acta Geographica Sinica, 2006,61(3):262-272.

邓楚雄,郭方圆,黄栋良,等.基于INVEST模型的洞庭湖区土地利用景观格局对生境质量的影响研究[J].生态科学,2021,40(2):99-109.Deng Chuxiong, Guo Fangyuan, Huang Dongliang, et al. Research on the impact of land use and landsacpe pattern on habitat quality in Dongting Lake area based on INVEST model [J]. Ecological Science, 2021,40(2):99-109.

刘笑,郭鹏,祁佳峰,等.基于MRSEI模型的阿勒泰市生态环境时空变化及驱动力分析[J].干旱区研究,2023,40(6): 1014-1026.Liu Xiao, Guo Peng, Qi Jiafeng, et al. Spatio-temporal changes and driving forces in the ecological environment of Altay City determined using an MRSEI model [J]. Arid Zone Research, 2023,40(6):1014-1026.

梁巧玲,史正涛,陈越豪,等.基于遥感生态指数的元谋干热河谷生态环境动态监测及其驱动力分析[J].水土保持通报,2022,42(6):146-154.Liang Qiaoling, Shi Zhengtao, Chen Yuehao, et al. Ecological environmental dynamic monitoring and driving force analysis of Yuanmou dry-hot valley based on remote sensing ecological index [J]. Bulletin of Soil and Water Conservation, 2022,42(6):146-154.

杨华,纪千夫,宋启迪,等.基于MODIS数据的洞庭湖生态经济区生态环境质量演变研究[J].城市建筑,2023,20(11):16-22.Yang Hua, Ji Qianfu, Song Qidi, et al. Research on the evolution of ecological environment quality in Dongting Lake ecological economic zone based on MODIS data [J]. Urbanism and Architecture, 2023,20(11):16-22.

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