globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2012.12.043
Scopus记录号: 2-s2.0-84873190806
论文题名:
Linking landscape patterns with ecological functions: A case study examining the interaction between landscape heterogeneity and carbon stock of urban forests in Xiamen, China
作者: Ren Y.; Wei X.; Wang D.; Luo Y.; Song X.; Wang Y.; Yang Y.; Hua L.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2013
卷: 293
起始页码: 122
结束页码: 131
语种: 英语
英文关键词: Landscape heterogeneity ; Landscape metric ; Landscape pattern ; Spatial scale ; Vegetation carbon density ; Vegetation carbon stock
Scopus关键词: Carbon density ; Carbon stocks ; Landscape heterogeneity ; Landscape metric ; Landscape pattern ; Spatial scale ; Carbon ; Ecology ; Urban planning ; Vegetation ; Forestry ; carbon sequestration ; ecosystem function ; forest inventory ; forest resource ; heterogeneity ; landscape ecology ; landscape planning ; spatial analysis ; urban forestry ; urbanization ; Carbon ; Density ; Ecology ; Forestry ; Planning ; Plants ; China ; Fujian ; Xiamen
英文摘要: The relationship between landscape patterns and functions is the central research theme of landscape ecology and forest management. This study assesses the interactive relationship of landscape heterogeneity with the carbon stock of urban forests in the city of Xiamen, Fujian Province, China, using spatial and statistical analyses. The objectives of this study are to explore the most appropriate scale for studying urban landscape patterns in Xiamen, analyze the dynamics of forested landscape heterogeneity at different scales, and identify suitable landscape metrics that are closely related to and can be used to describe vegetation carbon density. This study is based on data from 31,933 plots measured during the years 1972, 1996, and 2006 and collected as part of the Chinese National Forest Resource Planning and Inventory Program. A total of 12 landscape metrics were used to quantify spatial patterns and were subsequently related to vegetation carbon density. The results show that the most appropriate scale for landscape pattern analysis is 80km2. With urbanization advancing between 1972 and 1996, landscape heterogeneity at both class and landscape levels showed a significant increase and then remained stable from 1996 to 2006. Shannon's diversity index was the most sensitive landscape metric among all selected landscape heterogeneity metrics, and its ability to explain the variation of carbon density was better than that of forest types. This study clearly shows that information on spatial patterns of landscape heterogeneity is important for urban forest landscape planning to achieve forest carbon objective. © 2013 Elsevier B.V.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66722
Appears in Collections:影响、适应和脆弱性

Files in This Item:

There are no files associated with this item.


作者单位: Key Laboratory of Urban Environment and Health, Key Laboratory of Urban Metabolism of Xiamen, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Department of Earth and Environmental Sciences, University of British Columbia, Okanagan Campus, Kelowna, BC V1V 1V7, Canada; Key Laboratory of Humid Subtropical Eco-Geographical Processes, Ministry of Education, Fujian Normal University, Fuzhou 350007, China; Forestry College, Fujian Agriculture and Forestry University, Fuzhou 350002, China; College of Environment and Natural Resources, Zhejiang University, Hangzhou 310058, China; Department of Spatial Information Science and Engineering, Xiamen University of Technology, Xiamen 361024, China

Recommended Citation:
Ren Y.,Wei X.,Wang D.,et al. Linking landscape patterns with ecological functions: A case study examining the interaction between landscape heterogeneity and carbon stock of urban forests in Xiamen, China[J]. Forest Ecology and Management,2013-01-01,293
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Ren Y.]'s Articles
[Wei X.]'s Articles
[Wang D.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Ren Y.]'s Articles
[Wei X.]'s Articles
[Wang D.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Ren Y.]‘s Articles
[Wei X.]‘s Articles
[Wang D.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.