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Mapping the stray domestic cat (Felis catus) population in New Zealand: Species distribution modelling with a climate change scenario and implications for protected areas

机译:绘制新西兰流浪家猫(Felis catus)种群的图:气候变化情景下的物种分布模型及其对保护区的影响

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Species distribution models of stray cats were developed using two types of occurrence data: (i) a combined dataset of stray cats and cat colonies in Auckland and projected to the wider New Zealand area; and (ii) population density as an analogue for country-wide stray cat occurrence. These occurrence data, together with sets of environmental variables were used as input to the Maxent modelling tool to produce maps of suitability for the species. Environmental variables used in the models consist of current bioclimatic conditions, and a future climate scenario (RCP8.5 for year 2070 CCSM model). Commonly occurring bias in the modelling process due to latitude, the area for selecting background points in model evaluation, inherent spatial autocorrelation of occurrence points, and correlated bioclimatic variables were explicitly addressed. Results show that the North Island consistently provide more suitable areas for stray cats with increased suitability in a high emission climate change condition. Key protected areas at risk from the increased suitability to stray cats are also presented. (C) 2015 Elsevier Ltd. All rights reserved.
机译:使用两种类型的发生数据开发了流浪猫的物种分布模型:(i)奥克兰的流浪猫和猫群的组合数据集,并预测到更广泛的新西兰地区; (ii)人口密度作为全国范围内流浪猫发生的类似物。这些发生数据以及环境变量集被用作Maxent建模工具的输入,以生成适合该物种的图。模型中使用的环境变量包括当前的生物气候条件和未来的气候情景(2070年CCSM模型为RCP8.5)。明确解决了由于纬度,建模评估中选择背景点的区域,发生点的固有空间自相关以及相关的生物气候变量而在建模过程中常见的偏差。结果表明,在高排放气候变化条件下,北岛始终为流浪猫提供了更合适的区域,从而增加了其适应性。还提出了对流浪猫适应性增强有危险的重点保护区。 (C)2015 Elsevier Ltd.保留所有权利。

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