Ecological Effects of Urban Wetland Park Construction—A Case Study at Jixi National Wetland Park

Yang Xiao; Liu Sen; Jia Chao; Liu Yang; Yu Cuicui; Zhu Henghua

doi:10.13961/j.cnki.stbctb.2021.02.022

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Ecological Effects of Urban Wetland Park Construction—A Case Study at Jixi National Wetland Park

- Ecological Effects of Urban Wetland Park Construction—A Case Study at Jixi National Wetland Park
- Bulletin of Soiland Water Conservation Vol. 41, Issue 2, Pages: 162-169(2021)
- 作者机构：
  
  1. 山东大学海洋研究院,山东,青岛,266237
  2. 山东省地质测绘院,山东,济南,250002
  3. 山东省地质调查院,山东,济南,250014
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2021.02.022
  CLC： X37;TP79;X171.1
- Published：2021
- 稿件说明：
移动端阅览
Yang Xiao, Liu Sen, Jia Chao, et al. Ecological Effects of Urban Wetland Park Construction—A Case Study at Jixi National Wetland Park[J]. Bulletin of Soiland Water Conservation, 2021, 41(2): 162-169.
DOI：

Yang Xiao, Liu Sen, Jia Chao, et al. Ecological Effects of Urban Wetland Park Construction—A Case Study at Jixi National Wetland Park[J]. Bulletin of Soiland Water Conservation, 2021, 41(2): 162-169. DOI： 10.13961/j.cnki.stbctb.2021.02.022.

摘要

[目的] 分析城市湿地形成前后的生态效应，确定影响城市湿地形成发展的关键因素，为城市湿地保护和生态公园的建设提供科学依据。[方法] 以黄河下游流域济南市济西国家湿地公园为研究区，以1990—2019年的遥感影像和实地调查资料为数据源，基于GIS平台，通过空间分析土地利用动态度、转移矩阵和景观指数等研究城市湿地的生态效应，利用灰色关联法研究湿地自然变化的驱动因素。[结果] ①耕地与生态用地的相互转换是济西湿地主要的土地利用变化类型，建设用地与生态用地的相互转换是次要的土地利用变化类型。景观指数和动植物的变化则表明湿地生态多样性增加。②降水和地下水等水资源与湿地面积变化呈正相关，温度与湿地面积变化呈负相关。[结论] 水文气象因素对湿地的自然演化起着重要的作用，是常年性湿地形成的关键。城市规划等人为干扰影响着湿地公园土地利用类型的转化，也是主导城市湿地演变的主要因素。

Abstract

[Objective] The ecological effects before and after the construction of urban wetland were analyzed

and the key factors influencing the formation and development of wetland were determined in order to provide the scientific basis for urban wetland protection and ecological park construction.[Methods] Jixi National Wetland Park of Ji'nan City

Shandong Province

in the lower reaches of the Yellow River was selected as the research area. Remote sensing images and field survey data from 1990 to 2019 were the data sources. Based on the GIS platform

the ecological effects of urban wetlands were explored through spatial analysis of land use dynamics

transfer matrix

and landscape index. The driving factors of wetland change were studied by the grey correlation method.[Results] ① The mutual conversion between cultivated land and ecological land was the main type of land use change in the Jixi Wetland

and the mutual conversion between construction land and ecological land was the second type of land use change. Changes in landscape index and flora and fauna indicated an increase in wetland ecological diversity. ② The precipitation

groundwater and other water resources were positively correlated with wetland area

while the temperature was negatively correlated with wetland area.[Conclusion] Hydrological and meteorological factors played an important role in the natural evolution of wetlands

and were the key to the formation of perennial wetlands. Human disturbances such as urban planning affected the conversion of land use types in the wetland and were also the main factors leading to the evolution of the urban wetland.

关键词

Keywords

references

Ghermandi A, van den Bergh J C J M, Brander L M, et al. Values of natural and human-made wetlands:A meta-analysis[J]. Water Resources Research, 2010,46(12):W12516.

成水平,王月圆,吴娟.人工湿地研究现状与展望[J].湖泊科学,2019,31(6):1489-1498.

田若谷,李怀恩,刘铁龙.湿地价值评估研究综述[J].水资源研究,2019,8(3):267-273.

孟伟庆,莫训强,李洪远,等.天津地区湿地退化特征与驱动因素的多变量相关分析[J].水土保持通报,2016,36(4):326-332.

陈炜,张雨珂,炊雯,等.黄土高原湿地生态系统服务功能价值评估:以陕西省千湖国家湿地公园为例[J].水土保持通报,2019,39(4):270-274.

王立帅,徐诗文,林浩文,等.城市湿地公园建成后综合效绩评估:以广州大观湿地为例[J].生态学报,2019,39(16):6001-6016.

徐烨,杨帆,颜昌宙.基于景观格局分析的雄安城市湿地生态健康评价[J].生态学报,2020,40(20):7132-7142.

万媛媛,李洪远,莫训强,等.天津市临港城市湿地植物群落特征及多样性[J].水土保持通报,2016,36(6):326-332.

王建华,吕宪国.城市湿地概念和功能及中国城市湿地保护[J].生态学杂志,2007,26(4):555-560.

王华升.湿地公园建设保护中存在的问题及肥东县湿地公园建设保护对策[J].现代农业科技,2019(16):137-138.

罗建美,张学儒.基于Logistic模型的人类开发活动影响下河北省滨海湿地演变驱动分析[J].中国农业资源与区划,2018,39(9):169-174.

孔亚菲.基于生态敏感性评价的济西国家湿地公园生态规划研究[D].山东济南:山东建筑大学,2015.

于洋.济西湿地生物多样性及保护对策[J].山东林业科技,2014,44(1):108-110.

鲁敏,纪园园,高业林,等.济西国家湿地公园生态规划研究[J].山东建筑大学学报,2019,34(2):1-9.

Singh P, Javed S, Shashtri S, et al. Influence of changes in watershed landuse pattern on the wetland of Sultanpur National Park, Haryana using remote sensing techniques and hydrochemical analysis[J]. Remote Sensing Applications(Society and Environment), 2017,7:84-92.

Wu Xiancang, Dong Weihong, Lin Xueyu, et al. Evolution of wetland in Honghe National Nature Reserve from the view of hydrogeology[J]. Science of the Total Environment, 2017,609:1370-1380.

Jiang Weiguo, Lv Jinxia, Wang Cuicui, et al. Marsh wetland degradation risk assessment and change analysis:A case study in the Zoige Plateau, China[J]. Ecological Indicators, 2017,82:316-326.

Huang Boqiang, Huang Jinliang, Gilmore Pontius R, et al. Comparison of intensity analysis and the land use dynamic degrees to measure land changes outside versus inside the coastal zone of Longhai, China[J]. Ecological Indicators, 2018,89:336-347.

栗云召,于君宝,韩广轩,等.黄河三角洲自然湿地动态演变及其驱动因子[J].生态学杂志,2011,30(7):1535-1541.

马小雪,卞子诰,李娜,等.秦淮河流域1980-2010年土地利用变化及驱动机制[J].水土保持通报,2015,35(6):272-276.

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.

曹灿,张飞,阿依尼格尔·亚力坤,等.艾比湖区域景观格局与河流水质关系探讨[J].环境科学,2018,39(4):1568-1577.

丛文翠,孙小银.基于GIS和InVEST模型的日照市固碳能力研究[J].水土保持通报,2018,38(5):200-205.

张春华,居为民,王登杰,等.2004-2013年山东省森林碳储量及其碳汇经济价值[J].生态学报,2018,38(5):1739-1749.

梁丰.我国典型农田土壤固碳效率的时空差异特征及驱动因素[D].北京:中国农业科学院,2018.

李卉.山东半岛沿海地区土地利用/覆被变化对生态系统碳储量的影响特征分析[D].山东烟台:鲁东大学,2019.

贾大周,赵喜鹏,刘少博,等.基于灰色关联度模型的生态敏感区贫困化成因分析:以南水北调中线河南省水源区贾营小流域为例[J].水土保持通报,2020,40(1):191-197.

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.

焉恒琦,朱卫红,毛德华,等.长江三角洲国际重要湿地人为胁迫遥感解析[J].中国环境科学,2020,40(8):3605-3615.

郑慧祯,陈燕红,潘文斌,等.河口湿地表面温度扰动特征及其关键影响因素[J].生态学杂志,2018,37(8):2463-2473.

杜培军,陈宇,谭琨.江苏滨海湿地土地利用/覆盖变化与地表温度响应遥感监测[J].国土资源遥感,2014,26(2):112-120.

李文清.基于ISO 14031的玉清湖水库环境绩效评估研究[D].山东济南:山东大学,2008.

胡乃利.玉清湖水库水质评价及预测研究[D].山东济南:山东大学,2008.

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