|Table of Contents|

Analysis on the Landscape Pattern of Urban Green Space in Karst Mountainous Area

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2020年03
Page:
85-92
Research Field:
Publishing date:

Info

Title:
Analysis on the Landscape Pattern of Urban Green Space in Karst Mountainous Area
Author(s):
DING Ni1; LYU Xu1; 2
(1.College of Forestry,Guizhou University,Guiyang,Guizhou 550025；2.Guizhou Provincial Housing and Construction Department,Guiyang,Guizhou 550025)
Keywords:
urban green space; landscape pattern index; Karst mountain city; geographic information system; Tongren city
PACS:
-
DOI:
10.11937/bfyy.20191514
Abstract:
Based on the current land use map of Tongren city center,with the help of GIS technology,the spatial database of green landscape was established,and the relevant landscape pattern index was calculated by Fragstats software.Based on the quantitative analysis of the existing landscape pattern of Tongren green space,evaluation and suggestions were made.The results showed that the total area of green space in Tongren city center was 1 267.59 m2,the green rate was 29.55%,and the green area per capita was 31.91 m2；the patch edge of each landscape type was relatively complex,the patch proportion and area were quite different,and the distribution was uneven；the degree of fragmentation of green buffer and attached green space was relatively large,which failed to give full play to the ecological role；the old urban park green space was too concentrated,while the new park green space was too concentrated uneven distribution,low accessibility and utilization.It was suggested that in the future construction of urban green space,we should improve the types of patches,increase the number of medium and large patches,optimize the patch layout,and reasonably plan all kinds of landscape green space,especially pay attention to the development and utilization of road greening and mountain green space,so as to strengthen the ecological mobility between green patches,increase the service radius,and make the spatial distribution more reasonable.

References:

[1]WU K Y,YE X Y,QI Z F,et al.Impacts of land use/land cover change and socioeconomic development on regional ecosystem services:The case of fast-growing Hangzhou metropolitan area,China[J].Cities,2013,31:276-284.[2]张理茜,蔡建明,王妍.城市化与生态环境响应研究综述[J].生态环境学报,2010,19(1):244-252.[3]XING L,LIU Y,LIU X,et al.Spatio-temporal disparity between demand and supply of park green space service in urban area of Wuhan from 2000 to 2014[J].Habitat International,2018,71:49-59.[4]LORET E,MARTINO L,FEA M,et al.Combined remote sensing and GIS techniques for studying the large Roman urban system expansion during the last twenty years[J].Advance in Remote Sensing,2015(4):48-62.[5]CHANG Q,QIU Y,LI X,et al.A MSPA-based approach of urban green space system planning[J].Advanced Materials Research,2012,518-523:5972-5979.[6]KONG F,YIN H,NAKAGOSH I,et al.Using GIS and landscape metrics in the hedonic price modeling of the amenity value of urban green space:A case study in Jinan City,China[J].Landscape & Urban Planning,2007,79(3):240-252.[7]LI P H,ZHANG X Y,HU F H.Evaluation implementation for accessibility of urban public green space based on Arc GIS engine[J].Advanced Materials Research,2012,459:247-251.[8]任梅,王志杰,王志泰,等.黔中喀斯特山地城市景观格局指数粒度效应:以安顺市为例[J].生态学杂志,2018,37(10):3137-3145.[9]王越,林箐.基于MSPA的城市绿地生态网络规划思路的转变与规划方法探究[J].中国园林,2017,33(5):68-73.[10]任家仪,林广思.中日“防灾公园”和“城市防灾避险绿地”概念辨析[J].风景园林,2018,25(4):110-114.[11]魏绪英,蔡军火,叶英聪,等.基于GIS的南昌市公园绿地景观格局分析与优化设计[J].应用生态学报,2018,29(9):2852-2860.[12]VANDERHAEGEN S,CANTERS F.Mapping urban form and function at city block level using spatial metrics[J].Landscape and Urban Planning,2017,167:399-409.[13]陈雅如,肖文发,滕明君,等.三峡库区景观格局粒度效应及其对土地利用变化过程的响应[J].自然资源学报,2018,33(4):588-599.[14]汪桂芳,穆博,宋培豪,等.基于无人机航测的漯河市土地利用景观格局尺度效应[J].生态学报,2018,38(14):5158-5169.[15]陆禹,佘济云,罗改改,等.基于粒度反推法和GIS空间分析的景观格局优化[J].生态学杂志,2018,37(2):534-545.[16]贾佳,白军红,邓伟,等.近20年来康定市景观格局演变及其驱动力分析[J].安全与环境学报,2017,17(4):1571-1577.[17]俞飞,李智勇.天目山自然保护区景观尺度美学质量时空变化特征探析[J].中南林业科技大学学报,2019(2):79-85.[18]陈政融,刘世增,刘淑娟,等.基于Pleiades-1高分辨率卫星影像的干旱沙区遥感影像分类:以甘肃民勤青土湖为例[J].中国农学通报,2015,31(20):126-130.[19]AGUILERA F,VALENZUELA L M,ANDR B L.Landscape metrics in the analysis of urban land use patterns:A case study in a Spanish metropolitan area[J].Landscape and Urban Planning,2011,99(3-4):0-238.[20]UUEMAA E,ANTROP M,MARJA R,et al.Landscape metrics and indices:An overview of their use[J].Living Reviews in Landscape Research,2009,3(1):1-28.[21]郑西平.北京城市绿地系统功能评价与发展策略[D].北京:北京林业大学,2011.[22]刘铁冬,张佳佳,李羽佳.基于GIS技术的城市绿地景观格局动态变化:以哈尔滨市主城区为例[J].东北林业大学学报,2014,42(8):65-68,74.[23]付晖,方纪华,许先升,等.海口市中心城区公共绿地景观格局分析[J].西北林学院学报,2014,29(6):260-265.[24]高峻,杨名静,陶康华.上海城市绿地景观格局的分析研究[J].中国园林,2000(1):53-56.[25]汝绪伟,江涛.城市绿地演化驱动因素与景观格局空间分析:以济南市建成区为例[J].水土保持研究,2015,22(5):197-203.[26]PATHAK V,TRIPATHI B D,MISHRA V K.Evaluation of anticipated performance index of some tree species for green belt development to mitigate traffic generated noise[J].Urban Forestry & Urban Greening,2011,10(1):61-66.[27]NOWAK D J,CRANE D E,STEVENS J C.Air pollution removal by urban trees and shrubs in the United States[J].Urban Forestry & Urban Greening,2006,4(3-4):115-123.[28]陈莉,李佩武,李贵才,等.应用CITYGREEN模型评估深圳市绿地净化空气与固碳释氧效益[J].生态学报,2009,29(1):272-282.[29]NG E,CHEN L,WANG Y,et al.A study on the cooling effects of greening in a high-density city:An experience from HongKong[J].Building & Environment,2012,47:256-271.[30]EKKEL E D,DEVRIES S.Nearby green space and human health:Evaluating accessibility metrics[J].Landscape and Urban Planning,2017,157:214-220.[31]董菁,左进,李晨,等.城市再生视野下高密度城区生态空间规划方法:以厦门本岛立体绿化专项规划为例[J].生态学报,2018,38(12):4412-4423.[32]包玉,王志泰,王志杰.喀斯特地区城镇绿地景观格局空间梯度分析[J].南京林业大学学报(自然科学版),2012,36(3):85-90.

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Last Update: 2020-02-27