Natori Yoji, Porter Warren P
Gaylord Nelson Institute for Environmental Studies, University of Wisconsin, 430 Lincoln Drive, Madison, Wisconsin 53706, USA.
Ecol Appl. 2007 Jul;17(5):1441-59. doi: 10.1890/06-1785.1.
Understanding what determines a species' range is a central objective in ecology and evolutionary biology. It has important applications for predicting species distributions and how they might respond to environmental perturbations. This paper describes a mechanistic approach to predict past and present distribution of the Japanese serow (Capricornis crispus) on Honshu, Japan. We applied state-of-the-art microclimate and animal biophysical/behavioral models coupled with climate and vegetation data to estimate the distribution of potential range expansion under protection. We tested the model results against detailed empirical distribution data from the Ministry of the Environment for a five-prefecture area in central Honshu. We also applied the models to time-series land use/cover maps to investigate the historical transitions in habitat suitability during 1947-1999 in the Arai-Keinan region. This is the first time to our knowledge that mechanistic models have successfully predicted the landscape scale distribution of a mammal species in the absence of other animal species interactions, such as predators. In this case, animal energetics/behavior-plant interactions seem to be critical. Forest cover appears to be important in summer and winter for suitable serow habitats. The energetics model results indicate that the serow can overheat in some open environments in midday hours in summer. In winter, simulation results suggested that forest cover provides effective refuge to avoid increased metabolic demands of cold temperatures and strong winds. The model simulations suggested that land use/cover changes documented during 1947-1999 resulted in increased suitable serow habitat due to expanding forest cover from agricultural marginalization and ecological succession. The models provide a unique tool for estimating species' range expansion under protection or for selecting suitable reintroduction sites.
了解决定物种分布范围的因素是生态学和进化生物学的核心目标。它在预测物种分布以及它们如何应对环境扰动方面具有重要应用。本文描述了一种机械方法,用于预测日本本州日本鬣羚(Capricornis crispus)过去和现在的分布。我们应用了最先进的小气候和动物生物物理/行为模型,并结合气候和植被数据,来估计在保护情况下潜在范围扩张的分布。我们将模型结果与日本环境省提供的本州中部五个县详细的经验分布数据进行了对比。我们还将这些模型应用于时间序列土地利用/覆盖地图,以研究1947 - 1999年新井 - 计南地区栖息地适宜性的历史转变。据我们所知,这是首次在没有其他动物物种相互作用(如捕食者)的情况下,机械模型成功预测哺乳动物物种的景观尺度分布。在这种情况下,动物能量学/行为 - 植物相互作用似乎至关重要。森林覆盖在夏季和冬季对于适宜的鬣羚栖息地似乎都很重要。能量学模型结果表明,在夏季中午时分,鬣羚在一些开阔环境中可能会过热。在冬季,模拟结果表明森林覆盖提供了有效的避难所,可避免低温和强风导致的代谢需求增加。模型模拟表明,1947 - 1999年记录的土地利用/覆盖变化导致适宜鬣羚栖息地增加,这是由于农业边缘化和生态演替使森林覆盖面积扩大。这些模型为估计受保护物种的范围扩张或选择合适的重新引入地点提供了一个独特的工具。