CCPortal
DOI10.1016/j.ecolind.2021.108067
Spatial correlations between landscape patterns and net primary productivity: A case study of the Shule River Basin, China
Zhou, Yanyan; Yue, Dongxia; Guo, Jianjun; Chen, Guanguang; Wang, Dong
通讯作者Yue, DX (通讯作者),Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Gansu, Peoples R China.
发表日期2021
ISSN1470-160X
EISSN1872-7034
卷号130
英文摘要Human activities and environmental degradation have resulted in landscape pattern changes and can eventually profoundly affect net primary productivity (NPP) at different scales worldwide. A comprehensive understanding of how the relationship between landscape patterns (composition and configuration) and NPP changes across scales, is helpful for landscape planning and ecological protection and restoration. However, relevant research is currently understudied. Therefore, this study selected 39 landscape metrics and 5 types of land use in the Shule River Basin (SRB), and analysed their correlation under eight different scales via multiple linear regression models, aiming to determine the core landscape metrics to assess the NPP. Results indicate obvious spatial variations in the landscape metrics. At the same time, NPP in SRB was relatively small and showed obvious spatial heterogeneity. Landscape metrics and NPP showed different degrees of positive or negative correlation at different grid scales, and there were higher correlation at the 30 km scale. The increase in patch fragmentation and diversity promoted an increase in NPP. The correlation between landscape metrics and NPP was higher and more significant at the class level than at the landscape level, except in the case of unused land. Configuration metric (patch density and patch richness) explained 68% of the variation in NPP at the landscape level. At the class level, composition metrics (class area and percentage of landscape) played an important role in farmland, forestland, and grassland, while edge density (configuration metric) played an absolute role in the built-up land and unused land; overall, the effectiveness of the model was stronger at the class level than at the landscape level. The generated regression model allows us to quantitatively understand how to characterize changes in NPP through changes in landscape patterns. Appropriate landscape pattern and optimal scale should be considered in landscape planning and land use management to reduce the expected ecological impact.
关键词LAND-COVER CHANGENATURE-RESERVECLIMATE-CHANGESPATIOTEMPORAL VARIATIONTERRESTRIAL ECOSYSTEMSURBAN EXPANSIONNORTHWEST CHINADRIVING FORCESUSE/LAND COVERSOURCE REGION
英文关键词Net primary productivity; Landscape metrics; Scale effect; Spatial correlation; Shule River Basin
语种英语
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目Biodiversity Conservation ; Environmental Sciences
WOS记录号WOS:000692561800011
来源期刊ECOLOGICAL INDICATORS
来源机构中国科学院西北生态环境资源研究院
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/254028
作者单位[Zhou, Yanyan; Yue, Dongxia; Chen, Guanguang; Wang, Dong] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Gansu, Peoples R China; [Guo, Jianjun] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Yanyan,Yue, Dongxia,Guo, Jianjun,et al. Spatial correlations between landscape patterns and net primary productivity: A case study of the Shule River Basin, China[J]. 中国科学院西北生态环境资源研究院,2021,130.
APA Zhou, Yanyan,Yue, Dongxia,Guo, Jianjun,Chen, Guanguang,&Wang, Dong.(2021).Spatial correlations between landscape patterns and net primary productivity: A case study of the Shule River Basin, China.ECOLOGICAL INDICATORS,130.
MLA Zhou, Yanyan,et al."Spatial correlations between landscape patterns and net primary productivity: A case study of the Shule River Basin, China".ECOLOGICAL INDICATORS 130(2021).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhou, Yanyan]的文章
[Yue, Dongxia]的文章
[Guo, Jianjun]的文章
百度学术
百度学术中相似的文章
[Zhou, Yanyan]的文章
[Yue, Dongxia]的文章
[Guo, Jianjun]的文章
必应学术
必应学术中相似的文章
[Zhou, Yanyan]的文章
[Yue, Dongxia]的文章
[Guo, Jianjun]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。