Geographical sampling bias in a large distributional database and its effects on species richness-environment models
文献类型：期刊论文
| 作者 | Yang, Wenjing2,3; Ma, Keping ; Kreft, Holger3
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| 刊名 | JOURNAL OF BIOGEOGRAPHY
 |
| 出版日期 | 2013 |
| 卷号 | 40期号:8页码:1415-1426 |
| 关键词 | Biodiversity patterns Chao1 China inventory incompleteness richness-environment relationship sampling effort species accumulation curve species richness prediction vascular plants Wallacean shortfall |
| ISSN号 | 0305-0270 |
| DOI | 10.1111/jbi.12108 |
| 文献子类 | Article |
| 英文摘要 | Aim Recent advances in the availability of species distributional and high-resolution environmental data have facilitated the investigation of species richness-environment relationships. However, even exhaustive distributional databases are prone to geographical sampling bias. We aim to quantify the inventory incompleteness of vascular plant data across 2377 Chinese counties and to test whether inventory incompleteness affects the analysis of richness-environment relationships and spatial predictions of species richness. Location China. Methods We used the most comprehensive database of Chinese vascular plants, which includes county-level occurrences for 29,012 native species derived from 4,236,768 specimen and literature records. For each county, we computed smoothed species accumulation curves and used the mean slope of the last 10% of the curves as a proxy for inventory incompleteness. We created a series of data subsets with different levels of inventory incompleteness by excluding successively more under-sampled counties from the full data set. We then applied spatial and non-spatial regression models to each of these subsets to investigate relationships between the species richness of subsets and environmental factors, and to predict spatial patterns of vascular plant species richness in China. Results Log(10)-transformed numbers of records and documented species were strongly correlated (r=0.97). In total, 91% of Chinese counties were identified as under-sampled. After controlling for inventory incompleteness, the overall explanatory power of environmental factors markedly increased, and the strongest predictor of species richness switched from elevational range to annual wet days. Environmental models calibrated with more complete inventories yielded better spatial predictions of species richness. Main conclusions Our results indicate that inventory incompleteness strongly affects the explanatory power of environmental factors, the main determinants of species richness obtained from regression analyses, and the reliability of environment-based spatial predictions of species richness. We conclude that even large distributional databases are prone to geographical sampling bias, with far-reaching implications for the perception of and inferences about macroecological patterns. |
| 学科主题 | Ecology ; Geography, Physical |
| 出版地 | HOBOKEN |
| 电子版国际标准刊号 | 1365-2699 |
| WOS关键词 | GLOBAL PATTERNS ; BIODIVERSITY DATABASES ; PLANT DIVERSITY ; CLIMATE ; ENERGY ; DETERMINANTS ; COMPLETENESS ; INFORMATICS ; ENDEMISM ; HISTORY |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| WOS记录号 | WOS:000321821500002 |
| 出版者 | WILEY |
| 资助机构 | Ministry of Science and Technology of China(Ministry of Science and Technology, China) ; China Scholarship Council(China Scholarship Council) ; German Initiative of Excellence of the German Research Foundation (DFG)(German Research Foundation (DFG)) |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/28141]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China 2.Univ Gottingen, Fac Forest Sci & Forest Ecol, Biodivers Macroecol & Conservat Biogeog Grp, D-37077 Gottingen, Germany 3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Wenjing,Ma, Keping,Kreft, Holger. Geographical sampling bias in a large distributional database and its effects on species richness-environment models[J]. JOURNAL OF BIOGEOGRAPHY,2013,40(8):1415-1426. |
| APA | Yang, Wenjing,Ma, Keping,&Kreft, Holger.(2013).Geographical sampling bias in a large distributional database and its effects on species richness-environment models.JOURNAL OF BIOGEOGRAPHY,40(8),1415-1426. |
| MLA | Yang, Wenjing,et al."Geographical sampling bias in a large distributional database and its effects on species richness-environment models".JOURNAL OF BIOGEOGRAPHY 40.8(2013):1415-1426. |
入库方式： OAI收割
来源：植物研究所
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