Environmental heterogeneity regulates species-area relationships through the spatial distribution of species
He, Chenqi; Fang, Leqi; Xiong, Xinyu; Fan, Fan3; Li, Yangang; He, Luoshu; Shen, Xiaoli1; Li, Sheng3; Ji, Chengjun; Zhu, Jiangling
刊名FOREST ECOSYSTEMS
2022
卷号9
关键词Plants life forms Species-area curves Sampling design Spatial pattern Species diversity
ISSN号2095-6355
DOI10.1016/j.fecs.2022.100033
文献子类Article
英文摘要Species-area relationships (SARs), also known as species-area curves, are fundamental scaling tools for biodi-versity research. Sampling design and taxonomic groups affect the widely cited forms of species-area curves. However, the influence of sampling design and related environmental heterogeneity on SAR curves is rarely considered. Here, we investigated the SAR among different plant life forms (herbaceous plants, shrubs, and trees) in a 25.2-ha ForestGEO plot, the Wanglang Plot, in Sichuan, southwestern China, using a non-contiguous quadrat sampling method and power-law model. We compared the estimated parameters (the intercept c and the slope z) of the power-law models among different plant life forms, tested whether the SAR curve forms varied with sampling starting location, and assessed the effect of environmental heterogeneity accumulating with sampling area on curve variation. We found a wider range of variations in the SARs. The estimated c, z-values of power SAR were higher for the herbaceous plants than for the woody plants. A wider variation of SARs for the herbaceous plants than those for the woody plants. The selection of sampling starting location affected the SAR curve forms because of the roles of soil and topographic heterogeneity. We concluded that environmental heterogeneity regulates SAR curves sampled from different starting locations through spatial distribution of plant life forms. Thus, we recommend considering the design of sampling starting location when constructing SAR curves, espe-cially in a heterogeneous habitat with unrandom distribution patterns of species.
学科主题Forestry
电子版国际标准刊号2197-5620
出版地BEIJING
WOS关键词BETA-DIVERSITY ; SOIL HETEROGENEITY ; SCALE-DEPENDENCE ; PATTERNS ; RICHNESS ; DETERMINANTS ; EVOLUTIONARY ; SIMILARITY ; DISPERSAL ; CURVES
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
出版者KEAI PUBLISHING LTD
WOS记录号WOS:000788682300003
资助机构National Natural Science Foundation of China [31988102, 31300450]
内容类型期刊论文
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/28930]  
专题植被与环境变化国家重点实验室
作者单位1.Peking Univ, Sch Life Sci, Beijing 100871, Peoples R China
2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
3.Peking Univ, Coll Urban & Environm Sci, Inst Ecol, Key Lab Earth Surface Proc,Minist Educ, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
He, Chenqi,Fang, Leqi,Xiong, Xinyu,et al. Environmental heterogeneity regulates species-area relationships through the spatial distribution of species[J]. FOREST ECOSYSTEMS,2022,9.
APA He, Chenqi.,Fang, Leqi.,Xiong, Xinyu.,Fan, Fan.,Li, Yangang.,...&Zhu, Jiangling.(2022).Environmental heterogeneity regulates species-area relationships through the spatial distribution of species.FOREST ECOSYSTEMS,9.
MLA He, Chenqi,et al."Environmental heterogeneity regulates species-area relationships through the spatial distribution of species".FOREST ECOSYSTEMS 9(2022).
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