| 857 | 1 | 38 |
| Downloads | Citas | Reads |
【Objective】 Scientifically evaluate the ecological environment quality of the Yellow River Delta Wetlands, systematically analyze its landscape patterns, and provide scientific support for formulating effective protection and restoration strategies in the region. 【Methods】 Taking the Yellow River Delta Wetland Reserve as the study area, the remote sensing ecological index(RSEI) was used to evaluate the ecological environment quality of the wetland from 2001 to 2020 based on the platform of Google Earth Engine(GEE). The patch density, landscape shape index, Shannon diversity index, and contagion index were selected for the analysis of the landscape pattern, and the correlation between the RSEI and the landscape pattern was explored. 【Results】(1) RSEI increased in general, forest and grassland restoration and effective constraints of human activities improved the RSEI from ″poor″ to ″medium″ level. The ecological quality of the Yi-Qian-Er protected areas and the eastern estuary of the Yellow River improved significantly due to the remediation of sewage outfalls. The western and central regions were affected by human activities and urban expansion, and the ecological environment was not optimistic.(2) From 2001 to 2019, the patch density and landscape shape index increased, and landscape diversity increased, but the contagion index declined, resulting in weakened landscape connectivity. In 2020, connectivity was restored in part of the area, and the contagion index increased significantly, resulting in the formation of more continuous dominant patches.(3) The temporal trends of landscape pattern indicators and RSEI were consistent, and the contagion index was negatively correlated with RSEI(r=-0.72), suggesting that excessive connectivity reduced ecosystem diversity and stability. Patch density, landscape shape index, and Shannon diversity index were positively correlated with RSEI(r=0.75, 0.76, and 0.72), suggesting that landscape heterogeneity and diversity contributed to the enhancement of ecological quality. 【Conclusion】 The ecological environment quality of the Yellow River Delta Wetlands shows significant characteristics of overall improvement, local fluctuations, and spatial differentiation. The temporal change trend of the landscape pattern is consistent with the changes in RSEI. This study can provide a scientific basis for ecological protection and management in the study area.
[1] 邓伟，潘响亮，栾兆擎.湿地水文学研究进展[J].水科学进展，2003,14(4):421-427.[DENG W,PAN X L,LUAN Z Q.Advances in wetland hydrology[J].Advances in Water Science,2003,14(4):421-427.]
[2] 严登华，王浩，杨舒媛，等.面向生态的水资源合理配置与湿地优先保护[J].水利学报，2008,39(10):1241-1247.[YAN D H,WANG H,YANG S Y,et al.Ecology-oriented reasonable deployment of water resources and giving priority to protection of wetland[J].Journal of Hydraulic Engineering,2008,39(10):1241-1247.]
[3] 章光新，武瑶，吴燕锋，等.湿地生态水文学研究综述[J].水科学进展，2018,29(5):737-749.[ZHANG G X,WU Y,WU Y F,et al.A review of research on wetland ecohydrology[J].Advances in Water Science,2018,29(5):737-749.]
[4] YU K N,YANG C J,WU T,et al.Analysis of vegetation coverage changes and driving forces in the source region of the Yellow River[J].Scientific Reports,2025,15(1):22569.
[5] WAN Z M,DOZIER J.A generalized split-window algorithm for retrieving land-surface temperature from space[J].IEEE Transactions on Geoscience and Remote Sensing,2018,34(4):892-905.
[6] 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.]
[7] 卢晓宁，黄玥，洪佳，等.基于Landsat的黄河三角洲湿地景观时空格局演变[J].中国环境科学，2018,38(11):4314-4324.[LU X N,HUANG Y,HONG J,et al.Spatial and temporal variations in wetland landscape patterns in the Yellow River Delta based on Landsat images[J].China Environmental Science,2018,38(11):4314-4324.]
[8] 郭宇，孙美琪，王富强，等.水沙对黄河三角洲湿地景观格局演变的影响分析[J].华北水利水电大学学报(自然科学版),2018,39(4):36-41.[GUO Y,SUN M Q,WANG F Q,et al.Influence Analysis of runoff and sediment on the landscape pattern change in the Yellow River Delta Wetland[J].Journal of North China University of Water Resources and Electric Power (Natural Science Edition),2018,39(4):36-41.]
[9] 丁洪安.山东黄河三角洲国家级自然保护区[J].湿地科学与管理，2013,9(3):2-3.[DING H A.Shandong Yellow River Delta national nature reserve[J].Wetland Science and Management,2013,9(3):2-3.]
[10] FAN X F,WANG L,LI X P,et al.Increased discharge across the Yellow River Basin in the 21st century was dominated by precipitation in the headwater region[J].Journal of Hydrology:Regional Studies,2022,44:101230.
[11] ONDIEK R A,HAYES D S,KINYUA D N,et al.Influence of land-use change and season on soil greenhouse gas emissions from a tropical wetland:a stepwise explorative assessment[J].Science of The Total Environment,2021,787:147701.
[12] 王子豪，徐鑫溢，陈庆锋，等.人类活动对黄河三角洲湿地碳排放的影响研究进展[J].湿地科学，2024,22(2):310-326.[WANG Z H,XU X Y,CHEN Q F,et al.Research progress on impacts of human activities on carbon emissions in the Yellow River Delta Wetlands[J].Wetland Science,2024,22(2):310-326.]
[13] 芦康乐，杨萌尧，武海涛，等.黄河三角洲芦苇湿地底栖无脊椎动物与环境因子的关系研究：以石油开采区与淡水补给区为例[J].生态学报，2020,40(5):1637-1649.[LU K L,YANG M Y,WU H T,et al.Composition of benthic invertebrate communities in reed (Phragmites australis) wetlands of the Yellow River Delta:comparisons between oil exploitation and freshwater recharge areas[J].Acta Ecologica Sinica,2020,40(5):1637-1649.]
[14] 张浩斌，王婉，宋妤婧，等.基于改进遥感生态指数的干旱内流区生态质量评价：以阴山北麓塔布河流域为例[J].生态学报，2024(2):1-21.[ZHANG H B,WANG W,SONG Y J,et al.Ecological index evaluation of arid inflow area based on the modified remote sensing ecological index:a case study of Tabu River Basin at the northern foot of the Yin Mountains[J].Acta Ecologica Sinica,2024(2):1-21.]
[15] GOWARD S N,XUE Y K,CZAJKOWSKI K P.Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements:an exploration with the simplified simple biosphere model[J].Remote Sensing of Environment,2002,79(2/3):225-242.
[16] 陈超，何新月，傅姣琪，等.基于缨帽变换的农田洪水淹没范围遥感信息提取[J].武汉大学学报(信息科学版),2019,44(10):1560-1566.[CHEN C,HE X Y,FU J Q,et al.A method of flood submerging area extraction for farmland based on tasseled cap transformation from remote sensing images[J].Geomatics and Information Science of Wuhan University,2019,44(10):1560-1566.]
[17] CHANDER G,MARKHAM B L,HELDER D L.Summary of current radiometric calibration coefficients for Landsat MSS,TM,ETM+,and EO-1 ALI sensors[J].Remote Sensing of Environment,2009,113(5):893-903.
[18] 曹雷，丁建丽，玉米提·哈力克，等.基于国产高分一号卫星数据的区域土壤盐渍化信息提取与建模[J].土壤学报，2016,53(6):1399-1409.[CAO L,DING J L,UMUT H,et al.Extraction and modeling of regional soil salinization based on data from GF-1 satellite[J].Acta Pedologica Sinica,2016,53(6):1399-1409.]
[19] 温小乐，陈旭，徐涵秋.基于遥感生态指数的京郊南部城市生态评价：以涿州市、固安县为例[J].福州大学学报(自然科学版),2022,50(2):286-292.[WEN X L,CHEN X,XU H Q.Ecological evaluation of cities in southern Beijing suburbs based on remote sensing ecological index:taking Zhuozhou City and Gu′an County as examples[J].Journal of Fuzhou University (Natural Science Edition),2022,50(2):286-292.]
[20] 徐涵秋，邓文慧.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，2022,37(1):1-7.[XU H Q,DENG W H.Rationality analysis of MRSEI and its difference with RSEI[J].Remote Sensing Technology and Application,2022,37(1):1-7.]
Basic Information:
DOI：10.19760/j.ncwu.zk.2025084
China Classification Code:X821
Citation Information:
[1]TAO Jie,LI Shala,ZHANG Liting ,et al.Ecological Evaluation and Landscape Pattern Analysis of Yellow River Delta Wetlands[J].Journal of North China University of Water Resources and Electric Power(Natural Science Edition),2025,46(06):1-9.DOI:10.19760/j.ncwu.zk.2025084.
Fund Information:
国家重点研发计划项目(2021YFC3200201); 国家自然科学基金项目(51709238); 河南省水利科技攻关项目(GG202404,GG202405)