Species distribution models (SDMs) that integrate presence-only and presence–absence data offer a promising avenue to improve information on species' geographic distributions. The use of such ‘integrated SDMs’ on a species range-wide extent has been constrained by the often limited presence–absence data and by the heterogeneous sampling of the presence-only data. Here, we evaluate integrated SDMs for studying species ranges with a novel expert range map-based evaluation. We build new understanding about how integrated SDMs address issues of estimation accuracy and data deficiency and thereby offer advantages over traditional SDMs.

中文翻译：

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综合物种分布模型，以解决抽样偏差并改进范围内的发生预测

整合仅存在数据和存在-不存在数据的物种分布模型（SDM）为改善物种地理分布信息提供了一条有前途的途径。这种“综合SDM”在物种范围内的使用受到了通常有限的存在-不存在数据以及仅存在数据的异质采样的限制。在这里，我们通过一种新颖的基于专家范围图的评估来评估用于研究物种范围的综合 SDM。我们对集成 SDM 如何解决估计准确性和数据不足问题有了新的认识，从而提供优于传统 SDM 的优势。