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DOI | 10.1016/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 |
ISSN | 1470-160X |
EISSN | 1872-7034 |
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). |
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