Department of Bioscience and Territory, University of Molise, Pesche, Isernia, Italy.
PLoS One. 2013 Jul 3;8(7):e66559. doi: 10.1371/journal.pone.0066559. Print 2013.
Species introduction represents one of the most serious threats for biodiversity. The realized climatic niche of an invasive species can be used to predict its potential distribution in new areas, providing a basis for screening procedures in the compilation of black and white lists to prevent new introductions. We tested this assertion by modeling the realized climatic niche of the Eastern grey squirrel Sciurus carolinensis. Maxent was used to develop three models: one considering only records from the native range (NRM), a second including records from native and invasive range (NIRM), a third calibrated with invasive occurrences and projected in the native range (RCM). Niche conservatism was tested considering both a niche equivalency and a niche similarity test. NRM failed to predict suitable parts of the currently invaded range in Europe, while RCM underestimated the suitability in the native range. NIRM accurately predicted both the native and invasive range. The niche equivalency hypothesis was rejected due to a significant difference between the grey squirrel's niche in native and invasive ranges. The niche similarity test yielded no significant results. Our analyses support the hypothesis of a shift in the species' climatic niche in the area of introductions. Species Distribution Models (SDMs) appear to be a useful tool in the compilation of black lists, allowing identifying areas vulnerable to invasions. We advise caution in the use of SDMs based only on the native range of a species for the compilation of white lists for other geographic areas, due to the significant risk of underestimating its potential invasive range.
物种介绍是生物多样性面临的最严重威胁之一。入侵物种的实际气候生态位可用于预测其在新地区的潜在分布,为编制防止新物种引入的“黑名单”和“白名单”提供筛选程序的基础。我们通过模拟东部灰松鼠 Sciurus carolinensis 的实际气候生态位来验证这一说法。我们使用 Maxent 开发了三个模型:一个仅考虑原产地区域(NRM)的记录,一个包括原产地区域和入侵地区域(NIRM)的记录,第三个模型则是基于入侵记录进行校准并在原产地区域进行预测(RCM)。我们通过考虑生态位等效性和生态位相似性测试来检验生态位保守性。NRM 未能预测欧洲目前已入侵地区的适宜部分,而 RCM 则低估了原产地区域的适宜性。NIRM 准确地预测了原产地区域和入侵地区域。由于原产地区域和入侵地区域的灰松鼠生态位存在显著差异,因此生态位等效性假设被拒绝。生态位相似性测试没有产生显著结果。我们的分析支持物种在引入区的气候生态位发生变化的假说。物种分布模型(SDM)似乎是编制“黑名单”的有用工具,允许识别易受入侵的地区。我们建议在为其他地理区域编制“白名单”时,谨慎使用仅基于物种原产地区域的 SDM,因为存在低估其潜在入侵范围的重大风险。