Taxonomist survey biases and the unveiling of biodiversity patterns

作者: Pablo Sastre , Jorge M. Lobo

DOI: 10.1016/J.BIOCON.2008.11.002

关键词:

摘要: Basic and applied studies based on biodiversity data need accurate information the distribution of species. However, several clearly show that this is frequently biased, mainly as a consequence aggregated survey patterns in which taxonomists repeatedly select localities with specific characteristics. In study, we have constructed three different but simple virtual species richness scenarios to simulate capacity random, or regular designs reveal true pattern. We are specifically interested effect taxonomist insistence surveying those guarantee success collection many possible (species bias), coordinated uncoordinated character efforts carried out by whole community taxonomists. all simulated scenarios, directed towards were previously recognized having higher value not recommended if aim recover geographical pattern given territory. This process allocating probably caused primary taxonomists, acquire specimens rare and/or possible. an increase curiosity non-surveyed near identified richest allows one obtain better results, provided too patchy effort for discovering map difficult. Our results suggest planned necessary when most comes from designed biodiversity. The represent real may depend be self-motivated.

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