Scale-dependent effects of landscape pattern on plant diversity in Hunshandak Sandland View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-08

AUTHORS

Min Fan, Qinghui Wang, Kai Mi, Yu Peng

ABSTRACT

The influence of landscape pattern on plant diversity has strong scale-dependent effects. However, the relationship is still unclear for sandy land, which covers more than one-third of the world’s land mass. Aiming at exploring such scale-dependent effects in sandy land, we conducted a case study in Hunshandak Sandland, northern China. Principal component analysis (PCA) and Redundancy Analysis (RDA) was used to disentangle the relations between landscape pattern and alpha and beta plant diversity. Our results show that landscape pattern has an important influence on plant diversity, however, there existed scale effects. Landscape diversity enhanced the alpha diversity, conversely, reduced the beta diversity for all scales. PSSD (Patch Size Standard Deviation) positively related with alpha diversity whilst negatively related with beta diversity on moderate and large spatial scales, same as LPI (Largest Patch Index) on moderate scales. Shape complexity of patches can slightly increase both alpha and beta diversity at large scales. The adjustment of landscape pattern based on different spatial scales can enhance plant diversity. It is useful to improve plant diversity conservation in sandy land. More... »

PAGES

2169-2185

Journal

TITLE

Biodiversity and Conservation

ISSUE

9

VOLUME

26

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10531-017-1351-7

DOI

http://dx.doi.org/10.1007/s10531-017-1351-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084976196


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