Evaluating niche changes during invasion with seasonal models in Capsella bursa-pastoris.
Evaluating niche changes during invasion with seasonal models in Capsella bursa-pastoris.
复制标题
DOI：
10.1002/ajb2.16140
复制
发表时间：
2023-03
影响因子：
3
通讯作者：
中科院分区：
文献类型：
--
作者：
研究人员经常使用生态位模型来预测物种在未来或新的气候条件下可能建立和生存的地方。然而，这些预测方法假设物种在时间和空间上具有稳定的生态位。此外，忽略发生的时间数据可能会掩盖有关物种繁殖和最终适应度的重要信息。在这里，我们评估比较生态位模型产生的全年平均季节性模型在这项研究中，我们产生全年和每月的生态位模型，在欧洲和北美的荠菜囊，看看我们是否可以检测到长距离传播后的物种的季节性生态位的变化。结果表明，全年生态位模型在大陆间的可移植性较低，气候条件的大陆差异影响了C.巴斯德囊在较冷的季节，月度模型比全年模型有更高的预测准确性，但没有月度模型能够很好地预测北美夏季的发生。与北美月度模型相比，欧洲月度模型的相对预测能力表明本地范围与非本地范围之间的季节性时间变化。这些结果突出了在更精细的时间尺度上预测物种分布和揭示微妙的进化模式的生态位模型的效用。
Researchers often use ecological niche models to predict where species might establish and persist under future or novel climate conditions. However, these predictive methods assume species have stable niches across time and space. Furthermore, ignoring the time of occurrence data can obscure important information about species reproduction and ultimately fitness. Here, we assess compare ecological niche models generated from full-year averages to seasonal models In this study, we generate full-year and monthly ecological niche models for Capsella bursa-pastoris in Europe and North America to see if we can detect changes in the seasonal niche of the species after long-distance dispersal. We find full-year ecological niche models have low transferability across continents and there are continental differences in the climate conditions that influence the distribution of C. bursa-pastoris. Monthly models have greater predictive accuracy than full-year models in cooler seasons, but no monthly models are able to predict North American summer occurrences very well. The relative predictive ability of European monthly models compared to North American monthly models suggests a change in the seasonal timing between the native range to the non-native range. These results highlight the utility of ecological niche models at finer temporal scales in predicting species distributions and unmasking subtle patterns of evolution.
登录
查看更多内容
DOI：
10.1098/rspb.2013.3017
发表时间：
2014-03-22
影响因子：
4.7
作者：
Amano, Tatsuya;Freckleton, Robert P.;Sutherland, William J.
通讯作者：
Sutherland, William J.
影响因子：
4.8
作者：
BERGELSON, J;PERRY, R
通讯作者：
PERRY, R
影响因子：
6.4
作者：
Fitzpatrick, Matthew C.;Weltzin, Jake F.;Dunn, Robert R.
通讯作者：
Dunn, Robert R.
影响因子：
56.9
作者：
Colautti, Robert I.;Barrett, Spencer C. H.
通讯作者：
Barrett, Spencer C. H.
影响因子：
6.4
作者：
Atwater, Daniel Zachariah;Barney, Jacob N.
通讯作者：
Barney, Jacob N.