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

PAPER Environmental and socio-economic factors shaping the geography of floristic collections in China
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DOI:
10.1111/geb.12225
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发表时间:
2014-11
影响因子:
6.4
通讯作者:
Wenjing Yang;K. Ma;H. Kreft
Wenjing Yang;K. Ma;H. Kreft
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Wenjing Yang;K. Ma;H. Kreft

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目的收集生物多样性信息的努力往往在空间上有很大差异,并可能受到环境、文化和社会经济因素的驱动。了解收集工作的限制对于识别分布式数据库中的潜在偏见和使未来的调查更有效至关重要。在这里,我们检验了六个相互竞争的关于收集工作地理变异驱动因素的假设,并确定了影响中国植物收集地理的主要因素。中国的位置。方法利用中国最全面的维管植物分布数据库,其中包括4338516个县域的维管植物分布图,数据来源于植物标本馆标本和文献资料。解释变量代表六种不同的假设:可达性、人口密度、“植物学家效应”、山脉、水资源可用性和保护优先级。采用基于特征向量的空间滤波的普通最小二乘模型,研究了它们对收集密度和库存不完整性两个不同方面的空间格局的影响。
Aim Effortincollectingbiodiversityinformationoftenvariesstronglyinspaceand 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 andidentifythemainfactorsshapingthegeographyof floristiccollectionsinChina. Location China. Methods We 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.