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 |
DOI | 10.1016/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). |
个性服务 |
查看访问统计 |
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。
修改评论