Environmental and socio-economic factors shaping the geography of floristic collections in China

被引:67
|
作者
Yang, Wenjing [1 ,2 ,3 ]
Ma, Keping [1 ]
Kreft, Holger [2 ]
机构
[1] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
[2] Univ Gottingen, Fac Forest Sci & Forest Ecol, Biodivers Macroecol & Conservat Biogeog Grp, D-37077 Gottingen, Germany
[3] Jiangxi Normal Univ, Minist Educ, Key Lab Poyang Lake Wetland & Watershed Res, Nanchang 330022, Peoples R China
来源
GLOBAL ECOLOGY AND BIOGEOGRAPHY | 2014年 / 23卷 / 11期
关键词
Biodiversity database; botanist effect; collecting effort; geographical sampling bias; specimen collection; vascular plants; Wallacean shortfall; BUTTERFLY DISTRIBUTION MAPS; SPECIES RICHNESS; GLOBAL PATTERNS; SAMPLING BIAS; BIODIVERSITY; CONSERVATION; ENDEMISM; DIVERSITY; ECOLOGY; EXAMPLE;
D O I
10.1111/geb.12225
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
AimEffort in collecting biodiversity information often varies strongly in space and may be driven by environmental, cultural and socio-economic factors. Understanding the constraints on collecting effort is crucial for identifying potential bias in distributional databases and for making future surveys more efficient. Here we test six competing hypotheses on drivers of geographical variation in collecting effort and identify the main factors shaping the geography of floristic collections in China. LocationChina. MethodsWe used the most comprehensive database of Chinese vascular plant distributions including 4,338,516 county-level occurrences derived from herbarium specimens and literature sources. Explanatory variables were assembled representing six different hypotheses: accessibility, human population density, the botanist effect', mountains, water availability and conservation priority. Ordinary least-squares models with eigenvector-based spatial filters were applied to investigate their effects on spatial patterns of two different facets of collecting effort, i.e. collection density and inventory incompleteness. ResultsAll hypotheses except accessibility and human population density received significant support. Elevational range was the strongest predictor with a positive effect on collection density. Inventory incompleteness in turn was best predicted by human population density, but unexpectedly showed a positive effect. In contrast to previous studies, collecting effort was only weakly and negatively related to road density. Counties with herbaria had significantly higher collecting effort, and the presence of herbaria had weakly positive effects on neighbouring counties. Main conclusionsOur results indicate that China's mountains are most intensively and completely collected, whereas densely populated areas are surprisingly under-sampled. Because densely populated areas are more seriously threatened by land-use change, our results show a need to increase biological collections in those areas for conservation assessment and monitoring. More generally, our study suggests that collecting effort and its environmental and socio-economic constraints have a strong region-specific component influenced by cultural context and by different botanical traditions.
引用
收藏
页码:1284 / 1292
页数:9
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