Biodiversity and Climate Research Centre Frankfurt (BiK-F), Frankfurt am Main, Germany.
PLoS One. 2013 Jul 24;8(7):e67909. doi: 10.1371/journal.pone.0067909. Print 2013.
Future climate change is predicted to advance faster than the postglacial warming. Migration may therefore become a key driver for future development of biodiversity and ecosystem functioning. For 140 European plant species we computed past range shifts since the last glacial maximum and future range shifts for a variety of Intergovernmental Panel on Climate Change (IPCC) scenarios and global circulation models (GCMs). Range shift rates were estimated by means of species distribution modelling (SDM). With process-based seed dispersal models we estimated species-specific migration rates for 27 dispersal modes addressing dispersal by wind (anemochory) for different wind conditions, as well as dispersal by mammals (dispersal on animal's coat - epizoochory and dispersal by animals after feeding and digestion - endozoochory) considering different animal species. Our process-based modelled migration rates generally exceeded the postglacial range shift rates indicating that the process-based models we used are capable of predicting migration rates that are in accordance with realized past migration. For most of the considered species, the modelled migration rates were considerably lower than the expected future climate change induced range shift rates. This implies that most plant species will not entirely be able to follow future climate-change-induced range shifts due to dispersal limitation. Animals with large day- and home-ranges are highly important for achieving high migration rates for many plant species, whereas anemochory is relevant for only few species.
未来的气候变化预计将比冰期后变暖更快。因此,迁移可能成为未来生物多样性和生态系统功能发展的关键驱动因素。我们针对 140 种欧洲植物物种,计算了自末次冰期最大值以来的过去范围变化以及各种政府间气候变化专门委员会(IPCC)情景和全球环流模型(GCM)下的未来范围变化。范围转移率是通过物种分布模型(SDM)来估计的。我们使用基于过程的种子扩散模型,针对 27 种不同的扩散模式(包括不同风况下的风传播(风播)以及动物传播(动物皮毛传播-epizoochory 和动物进食和消化后传播-endozoochory)),为每个物种估计了特定的迁移率,考虑了不同的动物物种。我们基于过程的模拟迁移率通常超过了冰期后的范围转移率,这表明我们使用的基于过程的模型能够预测与实际过去迁移相符的迁移率。对于大多数考虑的物种,模型化的迁移率远低于预期的未来气候变化引起的范围转移率。这意味着由于扩散限制,大多数植物物种将无法完全跟上未来气候变化引起的范围转移。对于许多植物物种来说,具有较大的日范围和家域的动物对于实现高迁移率非常重要,而风播仅适用于少数物种。