基于遥感生态指数的海南五指山市生态环境质量评价及成因分析

doi:10.16258/j.cnki.1674-5906.2024.10.014

生态环境学报 ›› 2024, Vol. 33 ›› Issue (10): 1624-1633.DOI: 10.16258/j.cnki.1674-5906.2024.10.014

• 研究论文【环境科学】 • 上一篇下一篇

基于遥感生态指数的海南五指山市生态环境质量评价及成因分析

胡盈盈¹^,³(), 罗红霞¹^,^*(), 戴声佩²^,³, 禹萱¹, 邓春梅¹, 李海亮¹, 梁伟红¹, 郑倩¹

1.中国热带农业科学院科技信息研究所/海南省热带作物信息技术应用研究重点实验室，海南海口 571101
2.海南师范大学地理与环境科学学院，海南海口 571158
3.海南省热带海岛地表过程与环境变化重点实验室，海南海口 571158

收稿日期:2024-05-21 出版日期:2024-10-18 发布日期:2024-11-15
通讯作者: *罗红霞。E-mail: 120081008@163.com
作者简介:胡盈盈（1992年生），女，助理研究员，主要从事资源与环境遥感监测。E-mail: hyy1992@catas.cn
基金资助:
海南省自然科学基金项目(622MS115);海南省自然科学基金项目(721QN299);海南省自然科学基金高层次人才项目(721RC630);海南省热带海岛地表过程与环境变化重点实验室开放课题(DLZDSYS202402)

Evaluation of Ecological Environment Quality and Analysis of Driving Mechanism in Wuzhishan City of Hainan Island Based on Remote Sensing Ecological Indices

HU Yingying¹^,³(), LUO Hongxia¹^,^*(), DAI Shengpei²^,³, YU Xuan¹, DENG Chunmei¹, LI Hailiang¹, LIANG Weihong¹, ZHENG Qian¹

1. Institute of scientific and technological information, Chinese Academy of Tropical Agricultural Sciences/Key Laboratory of Applied Research on Tropical Crop Information Technology of Hainan Province, Haikou 571101, P. R. China
2. Hainan Normal University, School of Geography and Environmental Sciences, Haikou 571158, P. R. China
3. Key Laboratory of Tropical Island Land Surface processes and Environmental Changes of Hainan Province, Haikou 571158, P. R. China

Received:2024-05-21 Online:2024-10-18 Published:2024-11-15

摘要/Abstract

摘要：

五指山市作为海南生态环境保护的核心区，研究其生态环境质量及成因对保护海南生态环境完整性具有重要指导意义。以五指山市为评估单元，选取2001、2005、2010、2015、2021年Landsat影像，利用遥感生态指数（RSEI）对其生态环境质量进行评价与分析，并用Sen趋势分析和MK检验分析RSEI变化趋势，最后通过最优地理探测器模型（OPGD）分析2021年生态环境质量空间分异成因。结果表明，1）时间尺度上，2001－2021年五指山市RSEI先下降后上升，RSEI均值从2011年的0.579波动上升到2021年的0.682；2001－2021年五指山市RSEI一般和良等级的占比最大，超过92.27%；RSEI等级为良的区域波动增加，RSEI等级为一般的区域波动减少，这表明五指山市RSEI呈高质量波动式增长。2）空间尺度上，RSEI等级为差和较差的区域集中在低海拔水系周边的乡镇；一般等级主要围绕差和较差等级的周围；良和优等级分布在四周、中东部海拔高地区。RSEI显著改善区域与海南热带雨林国家公园五指山片区一致；而显著退化区域则分布在人口密集的乡镇地区。3）变化趋势上，研究区有92.58%的区域呈增加趋势，显著改善区域有5.93%；RSEI呈减少趋势的区域有7.42%，显著变差的有0.01%；趋势变化显示，21年间五指山市RSEI整体呈变好趋势，但是显著改善区域面积有限，仍需持续加强生态环境建设。4）驱动因子分析，气温、高程为主的自然因子和生产总值为主的社会因子是2021年五指山市RSEI空间分异的主要影响因子。高程在单因子中具有最大解释力，气温和高程交互作用对RSEI解释力最高，而降水对五指山市RSEI不具影响力。

关键词: 遥感生态指数, 五指山, 最优地理探测器, 时空演变, 成因分析

Abstract:

Hainan is a crucial component of ecological functions and ecological civilization experimental zones. As the core region for ecological environmental protection on Hainan Island, studying the ecological environmental quality and influencing factors of Wuzhishan City would have great guiding significance in protecting the integrity of the ecological environment in Hainan. This study focuses on evaluating the ecological environment of Wuzhishan City. In this study, the Remote Sensing Ecological Index (RSEI) was applied as an evaluation indicator of Landsat image data for 2001, 2005, 2010, 2015, and 2021. Then, the Theil-Sen estimator and Mann-Kendall(MK)test were used to determine the variation trend of RSEI, while the Optimal Geographic Detector Model (OPGD) was employed to explain the causes of spatial differentiation of ecological environment quality in Wuzhishan City. The results showed the following. 1) On a given timescale, the RSEI first decreased and then increased from 2001 to 2021, and the mean RSEI increased from 0.579 in 2001 to 0.682 in 2021. During this period, the proportion of general and good RSEI grades was the largest, with the combined total area exceeding 92.27%. Areas with good RSEI grades showed a fluctuating increasing trend, whereas those with general RSEI levels showed a fluctuating decreasing trend. This indicates a trajectory of substantial growth in high-quality RSEI volatility in Wuzhishan City. 2) On a spatial scale, areas with worse and poorer RSEI grades were mainly concentrated in the township areas around the low-altitude water system, whereas the general grades were mainly concentrated around the worse and poorer levels. Good and excellent grades were distributed in the surrounding areas and higher-elevation regions in the central and eastern regions, respectively. The significantly improved RSEI areas corresponded to the delineation of the National Park of the Hainan Tropical Rainforest, whereas the significantly degraded areas were located in densely populated townships. 3) From the perspective of the RSEI change trends, 92.58% of the areas exhibited an increasing trend, of which 5.93% showed a significant increase. Conversely, the area with a decreasing trend was 7.42% and the region of significant reduction was only 0.01%. From 2001 to 2021, the RSEI of Wuzhishan City has exhibited an overall upward trend. However, the area of significant improvement is limited; therefore, it is necessary to continuously strengthen the the ecological environment. 4) From the analysis of the driving factors, the natural factors dominated by temperature and dem, and the social factors dominated by GDP were the main factors influencing the spatial differentiation of the RSEI in Wuzhishan City in 2021. Among these, dem factor had the greatest explanatory power. Precipitation demonstrated no significant explanatory power for spatial differentiation of the RSEI in Wuzhishan City. These results provide a theoretical basis for ecological environment protection and adjustment of key measures in the Wuzhishan area.

Key words: remote sensing ecology index, Wuzhishan, optimal parameters-based geographical detectors, spatial-temporal evolution, driving factors analysis

中图分类号:

胡盈盈, 罗红霞, 戴声佩, 禹萱, 邓春梅, 李海亮, 梁伟红, 郑倩. 基于遥感生态指数的海南五指山市生态环境质量评价及成因分析[J]. 生态环境学报, 2024, 33(10): 1624-1633.

HU Yingying, LUO Hongxia, DAI Shengpei, YU Xuan, DENG Chunmei, LI Hailiang, LIANG Weihong, ZHENG Qian. Evaluation of Ecological Environment Quality and Analysis of Driving Mechanism in Wuzhishan City of Hainan Island Based on Remote Sensing Ecological Indices[J]. Ecology and Environment, 2024, 33(10): 1624-1633.

图/表 11

参考文献 31

[1]	GOCIC M, TRAJKOVI S, 2013. Analysis of changes in meteorological variables using Mann-Kendall and Sen’s slope estimator statistical tests in Serbia[J]. Global and Planetary Change, 100: 172-182.
[2]	HIRSCH R M, SLACK J R, 1984. A nonparametric trend test for seasonal data with serial dependence[J]. Water Resources Research, 20(6): 727-732.
[3]	SONG Y Z, WANG J F, GE Y, et al., 2020. An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data[J]. GIScience & Remote Sensing, 57(5): 593-610.
[4]	YUAN B D, FU L N, ZOU Y A, et al., 2021. Spatiotemporal change detection of ecological quality and the associated affecting factors in Dongting Lake Basin, Based on RSEI[J]. Journal of Cleaner Production, 302: 126995.
[5]	ZHU D Y, CHEN T, WANG Z W, et al., 2021. Detecting ecological spatial-temporal changes by remote sensing ecological index with local adaptability[J]. Journal of Environmental Management, 299: 113655.
[6]	安树青, 朱学雷, 王峥峰, 等, 1999. 海南五指山热带山地雨林植物物种多样性研究[J]. 生态学报, 19(6): 803-809.
	AN S Q, ZUH X L, WANG Z F, et al., 1999. The plant species diversity in a tropical montane rain forest on Wuzhi Mountain, Hainan[J]. Acta Ecologica Sinica, 19(6): 803-809.
[7]	陈宜欣, 宁晓刚, 张翰超, 等, 2024. 遥感生态指数 (RSEI) 模型及应用综述[J]. 自然资源遥感, 36(3): 28-40.
	CHEN Y X, NING X G, ZHANG H C, et al., 2024. Overview of remote sensing ecological index (RSEI) model and its applications[J]. Remote Sensing for Natural Resources, 36(3): 28-40.
[8]	段四波, 茹晨, 李召良, 等, 2021. Landsat卫星热红外数据地表温度遥感反演研究进展[J]. 遥感学报, 25(8): 1591-1617.
	DUAN S B, RU C, LI Z L, et al., 2021. Reviews of methods for land surface temperature retrieval from Landsat thermal infrared data[J]. National Remote Sensing Bulletin, 25(8): 1591-1617.
[9]	付杰, 王萍, 张清, 等, 2021. 基于改进遥感生态指数的海南岛生态环境质量动态变化[J]. 农业资源与环境学报, 38(6): 1102-1111.
	FU J, WANG P, ZHANG Q, et al., 2021. Dynamic monitoring of ecological environment quality of Hainan Island based on improved remote sensing ecological index[J]. Journal of Agricultural Resources and Environment, 38(6): 1102-1111.
[10]	傅楷翔, 贾国栋, 余新晓, 等, 2024. 基于改进遥感生态指数的新疆吐鲁番-哈密地区生态环境质量评价及驱动机制分析[J]. 生态学报, 44(9): 3911-3923.
	FU K X, JIA G D, XU X X, et al., 2024. Evaluation of ecological environment quality and analysis of driving mechanism in Tulufan-Hami region of Xinjiang based on improved remote sensing ecological indices[J]. Acta Ecologica Sinica, 44(9): 3911-3923.
[11]	谷树忠, 胡咏君, 周洪, 2013. 生态文明建设的科学内涵与基本路径[J]. 资源科学, 35(1): 2-13.
	GU S Z, HU Y J, ZHOU H, 2013. Ecological civilization construction: Scientific connotation and basic paths[J]. Resources Science, 35(1): 2-13.
[12]	胡珂, 韩念龙, 于淼, 等, 2023. 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, 21(1): 101-109.
	HU K, HAN N L, YU M, et al., 2023. Land use change simulation in Sanyan city based on remote sensing ecological index[J]. Science of Soil and Water Conservation, 21(1): 101-109.
[13]	李光伟, 邢峰华, 敖杰, 等, 2022. 海南岛30年空中云水资源时空特征分析[J]. 热带生物学报, 13(4): 331-338.
	LI G W, XING F H, AO J, et al., 2022. Temporal and spatial characteristics of cloud water resources in Hainan island over the past 30 years[J]. Journal of Tropical Biology, 13(4): 331-338.
[14]	李佳灵, 周铜磊, 黄翔, 等, 2019. 海南五指山国家级自然保护区鸟兽多样性研究[J]. 野生动物学报, 40(4): 924-932.
	LI J L, ZHOU T L, HUANG X, et al., 2019. Bird and mammal diversity in Wuzhishan national nature reserve, Hainan[J]. Chinese Journal of Wildlife, 40(4): 924-932.
[15]	李妍, 张国钦, 吝涛, 等, 2022. 乡镇遥感生态指数时空变化及影响因子研究——以天津市蓟州区为例[J]. 生态学报, 42(2): 474-486.
	LI Y, ZHANG G Q, LIN T, et al., 2022. The spatiotemporal changes of remote sensing ecological index in towns and the influencing factors: A case of Jinzhou District, Tianjin[J]. Acta Ecologica Sinica, 42(2): 474-486.
[16]	林中立, 徐涵秋, 2019. 基于遥感的海岛型城市发展生态效应分析——以厦门岛为例[J]. 福州大学学报(自然科学版), 47(5): 610-616.
	LIN Z L, XU H Q, 2019. Ecological response analysis for urban development in an island city based on remote sensing: a case study in Xiamen Island, Southeastern China[J]. Journal of Fuzhou University (Natural Science Edition), 47(5): 610-616.
[17]	刘强, 杨众养, 陈毅青, 等, 2021. 基于CA-Markov多情景模拟的海南岛土地利用变化及其生态环境效应[J]. 生态环境学报, 30(7): 1522-1531. DOI
	LIU Q, YANG Z Y, CHEN Y Q, et al., 2021. Multi-scenario simulation of land use change and its eco-environmental effect in Hainan Island based on ca-markov model[J]. Ecology and Environmental Sciences, 30(7): 1522-1531.
[18]	宋静, 王会肖, 王飞, 2013. 生态环境质量评价研究进展及方法评述[J]. 环境科学与技术, 36(S2): 448-453.
	SONG J, WANG H X, WANG F, 2013. Research progress of ecological environment quality assessment and methods review[J]. Environmental Science & Technology, 36(S2): 448-453.
[19]	孙玉军, 王效科, 王如松, 1999. 五指山保护区生态环境质量评价研究[J]. 生态学报, 19(3): 365-370.
	SUN Y J, WANG X K, WANG R S, 1999. The characteristics of eco-environmental quality in five-finger mountain nature reserve[J]. Acta Ecologica Sinica, 19(3): 365-370.
[20]	王剑, 管瑶, 贺兴宏, 等, 2024. 2000-2021年图木舒克市生态环境质量动态监测与评价[J]. 干旱区地理, 47(3): 465-473. DOI
	WANG J, GUAN Y, HE X H, et al., 2024. Dynamic monitoring and evaluation of ecological environment quality in Tumshuk City from 2000 to 2021[J]. Arid Land Geography, 47(3): 465-473. DOI
[21]	王劲峰, 徐成东, 2017. 地理探测器: 原理与展望[J]. 地理学报, 72(1): 116-134. DOI
	WANG J F, XU C D, 2017. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 72(1): 116-134. DOI
[22]	王永祥, 徐园园, 杨佳嘉, 等, 2023. 基于Landsat的重庆市生态环境质量动态监测及其时空格局演变分析[J]. 生态学报, 43(15): 6278-6292.
	WANG Y X, XU Y Y, YANG J J, et al., 2023. Dynamic monitoring and spatio-temporal pattern evolution analysis of ecoenvironmental quality in Chongqing based on remote sensing[J]. Acta Ecologica Sinica, 43(15): 6278-6292.
[23]	魏伟, 曾诗瑶, 尹力, 等, 2024. 近40年海南岛国土空间格局演化的生态效应及其影响因素[J]. 生态学报, 44(12): 5083-5101.
	WEI W, ZENG S Y, YIN L, et al., 2024. Ecological Effects and Influencing Factors of the Evolution of Hainan Island’s territorial spatial pattern over the past 40 years[J]. Acta Ecologica Sinica, 44(12): 5083-5101.
[24]	袁璨, 2015. 海南省五指山市生态环境脆弱性研究[D]. 长沙: 中南林业科技大学:46.
	YUAN C, 2015. The ecological environment vulnerability research in Wuzhishan city of Hainan province[D]. Changsha: Central South University of Forestry and Technology:46.
[25]	徐涵秋, 邓文慧, 2022. MRSEI指数的合理性分析及其与RSEI指数的区别[J]. 遥感技术与应用, 37(1): 1-7. DOI
	XU H Q, DENG W H, 2022. Analysis of MRSEI and its difference with RSEI[J]. Remote Sensing Technology and Application, 37(1): 1-7.
[26]	徐涵秋, 2005. 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, 9(5): 589-595.
	XU H Q, 2005. A study on information extraction of water body with the modified normalized difference water index (MNDWI)[J]. Journal of Remote Sensing, 9(5): 589-595.
[27]	徐涵秋, 2013. 区域生态环境变化的遥感评价指数[J]. 中国环境科学, 33(5): 889-897.
	XU H Q, 2013. A remote sensing index for assessment of regional ecological changes[J]. China Environmental Science, 33(5): 889-897.
[28]	姚尧, 王世新, 周艺, 等, 2012. 生态环境状况指数模型在全国生态环境质量评价中的应用[J]. 遥感信息, 27(3): 93-98.
	YAO Y, WANG S X, ZHOU Y, et al., 2012. The application of ecological environment index model on the national evaluation of ecological environment quality[J]. Remote Sensing Information, 27(3): 93-98.
[29]	叶亚平, 刘鲁君, 2000. 中国省域生态环境质量评价指标体系研究[J]. 环境科学研究, 13(3): 33-36.
	YE Y P, LIU L J, 2000. A preliminary study on assessment indicator system of provincial eco-environmental quality in China[J]. Research of Environmental Sciences, 13(3): 33-36.
[30]	左璐, 孙雷刚, 徐全洪, 等, 2021. 区域生态环境评价研究综述[J]. 云南大学学报(自然科学版), 43(4): 806-817.
	ZUO L, SUN L G, XU Q H, et al., 2021. A review of the studies on regional ecological environment evaluation[J]. Journal of Yunnan University (Natural Sciences Edition), 43(4): 806-817.
[31]	张利利, 佘济云, 李锐, 等, 2016. 1998-2010年五指山市土地利用景观格局变化分析[J]. 西北林学院学报, 31(1): 221-225, 249.
	ZHANG L L, SHE J Y, LI R, et al., 2016. Changes of land use and landscape pattern in Wuzhishan during 1998-2010[J]. Journal of Northwest Forestry University, 31(1): 221-225, 249.

数据类型	空间分辨率	时间范围	来源
Landsat 7、8	30 m	2001、2005、2010、 2015、2021年	地理空间数据云
dem (ASTER GDEM V3)	30 m	‒	地理空间数据云
pre、tem	‒	2021年	海南省气候中心
plant、pop、gdp	‒	2021年	五指山统计年鉴

数据类型	空间分辨率	时间范围	来源
Landsat 7、8	30 m	2001、2005、2010、 2015、2021年	地理空间数据云
dem (ASTER GDEM V3)	30 m	‒	地理空间数据云
pre、tem	‒	2021年	海南省气候中心
plant、pop、gdp	‒	2021年	五指山统计年鉴

主成分	2001年		2005年		2010年		2015年		2021年
主成分	特征值	贡献率/%	特征值	贡献率/%	特征值	贡献率/%	特征值	贡献率/%	特征值	贡献率/%
PC1	0.0211	78.77	0.0195	87.75	0.0120	76.49	0.0110	89.38	0.0218	76.54
PC2	0.0032	90.85	0.0020	96.94	0.0024	91.56	0.0011	98.15	0.0048	93.26
PC3	0.0024	100.00	0.0007	99.99	0.0013	99.99	0.0002	100.00	0.0017	99.39
PC4	0.0000	100.00	0.0000	100.00	0.0000	100.00	0.0000	100.00	0.0002	100.00

主成分	2001年		2005年		2010年		2015年		2021年
主成分	特征值	贡献率/%	特征值	贡献率/%	特征值	贡献率/%	特征值	贡献率/%	特征值	贡献率/%
PC1	0.0211	78.77	0.0195	87.75	0.0120	76.49	0.0110	89.38	0.0218	76.54
PC2	0.0032	90.85	0.0020	96.94	0.0024	91.56	0.0011	98.15	0.0048	93.26
PC3	0.0024	100.00	0.0007	99.99	0.0013	99.99	0.0002	100.00	0.0017	99.39
PC4	0.0000	100.00	0.0000	100.00	0.0000	100.00	0.0000	100.00	0.0002	100.00

RSEI等级	2001年		2005年		2010年		2015年		2021年
RSEI等级	面积/km²	占比/%	面积/km²	占比/%	面积/km²	占比/%	面积/km²	占比/%	面积/km²	占比/%
差	3.02	0.26	2.23	0.20	0.10	0.01	0.39	0.03	1.14	0.10
较差	71.21	6.25	71.92	6.30	40.44	3.55	8.42	0.74	25.26	2.22
一般	511.00	44.82	410.35	35.95	783.99	68.81	206.74	18.13	130.01	11.42
良	549.74	48.22	642.92	56.32	314.63	27.61	875.12	76.74	977.48	85.88
优	5.05	0.44	14.17	1.24	0.22	0.02	49.62	4.35	4.30	0.38

基于遥感生态指数的海南五指山市生态环境质量评价及成因分析

Evaluation of Ecological Environment Quality and Analysis of Driving Mechanism in Wuzhishan City of Hainan Island Based on Remote Sensing Ecological Indices

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 31

相关文章 15

编辑推荐

Metrics

本文评价

RSEI变化趋势	2001－2021年变化趋势		2001－2021年显著变化趋势
RSEI变化趋势	面积/km²	占比/%	面积/km²	占比/%
退化	84.26	7.42	0.14	0.01
不变	0.0009	0.0001	0.0009	0.0001
改善	1050.60	92.58	62.25	5.49

变量	dem	tem	gdp	plant	pre	pop
q value	0.492	0.128	0.102	0.079	0.0774	0.0362
sig值	5.98×10⁻¹⁰	1.55×10⁻⁴	2.19×10⁻¹⁰	0.0203	0.705	1.17×10⁻⁵

[1]	张舒涵, 姜海玲, 于海淋, 冯馨慧. 沈阳现代化都市圈景观生态风险时空演变及驱动力分析[J]. 生态环境学报, 2024, 33(9): 1471-1481.
[2]	奥勇, 张龙, 王晓峰, 吴彦芸, 唐冰倩, 张亦恒. 基于“自然-社会”视角的陕西省土地利用变化碳核算与演变格局分析[J]. 生态环境学报, 2024, 33(8): 1306-1317.
[3]	王雯, 侯青青, 裴婷婷. 甘肃河东地区坡度对生态系统服务的影响及其阈值效应[J]. 生态环境学报, 2024, 33(7): 1117-1129.
[4]	王雪融, 龚建周, 俞方圆. 粤港澳大湾区4种生态系统调节服务的互馈关系及机制[J]. 生态环境学报, 2024, 33(7): 1130-1141.
[5]	陈晓辉, 胡喜生. 耦合ER和GWR的福州市生态环境质量的驱动力分析[J]. 生态环境学报, 2024, 33(5): 812-823.
[6]	冯自贤, 佘璐, 王秀慧, 杨璐, 杨晨. 基于改进遥感生态指数的宁夏生态环境质量时空变化[J]. 生态环境学报, 2024, 33(1): 131-143.
[7]	巫晨煜, 许帆帆, 魏士博, 樊晶晶, 刘观鹏, 王坤. 渭河流域地表植被覆盖对气候变化的响应研究[J]. 生态环境学报, 2023, 32(5): 835-844.
[8]	李晖, 李必龙, 葛黎黎, 韩琛惠, 杨倩, 张岳军. 2000-2021年汾河流域植被时空演变特征及地形效应[J]. 生态环境学报, 2023, 32(3): 439-449.
[9]	何艳虎, 龚镇杰, 吴海彬, 蔡宴朋, 杨志峰, 陈晓宏. 粤港澳大湾区城市生态效率时空演变及影响因素[J]. 生态环境学报, 2023, 32(3): 469-480.
[10]	王嘉丽, 冯婧珂, 杨元征, 俎佳星, 蔡文华, 杨健. 南宁市主城区不透水面与热环境效应的空间关系研究[J]. 生态环境学报, 2023, 32(3): 525-534.
[11]	丁诗雨, 贾夏, 赵永华, 钱会, 王欢元, 康宏亮, 孙婴婴. 秦巴山生态功能区生态系统服务供需关系时空演变研究[J]. 生态环境学报, 2023, 32(12): 2236-2248.
[12]	郑晓豪, 陈颖彪, 郑子豪, 郭城, 黄卓男, 周泳诗. 湖北省生态系统服务价值动态变化及其影响因素演变[J]. 生态环境学报, 2023, 32(1): 195-206.
[13]	陈文裕, 夏丽华, 徐国良, 余世钦, 陈行, 陈金凤. 2000—2020年珠江流域NDVI动态变化及影响因素研究[J]. 生态环境学报, 2022, 31(7): 1306-1316.
[14]	朱丽, 闫怀忠, 孙友敏, 范晶, 刘光辉, 张桂芹. 山东典型重工业区降尘污染特征及成因分析[J]. 生态环境学报, 2022, 31(7): 1393-1399.
[15]	薛文凯, 朱攀, 德吉, 郭小芳. 纳木措水体可培养丝状真菌优势种的时空特征研究[J]. 生态环境学报, 2022, 31(12): 2331-2340.