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Role of climatic niche models in focal-species-based conservation planning: Assessing potential effects of climate change on Northern Spotted Owl in the Pacific Northwest, USA

机译:气候生态位模型在基于重点物种的保护规划中的作用:评估气候变化对美国西北太平洋北部斑点O的潜在影响

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Although well-studied vertebrates such as the Northern Spotted Owl (NSO) are often used as focal species in regional conservation plans, range shifts associated with climate change may compromise this role. I used the Maxent (maximum entropy) method to develop NSO distribution models from data on NSO locations, forest age, and an ensemble of climate projections. NSO presence was positively associated with the proportion of old and mature forest at two spatial scales. Winter precipitation was the most important climate variable, consistent with previous studies suggesting negative effects on survival and recruitment. Model results suggest that initial niche expansion may be followed by a contraction as climate change intensifies, but this prediction is uncertain due to variability in predicted changes in precipitation between climate projections. Although new reserves created by the US Northwest Forest Plan prioritized areas with greater biological importance for the NSO than did pre-existing reserves, the latter areas, which lie predominantly at higher elevations, increase in importance under climate change. In contrast with previous analyses of the region's localized old-forest-associated species, vegetation rather than climate dominated NSO distribution models. Rigorous assessment of the implications of climate change for focal species requires development of dynamic vegetation models that incorporate effects of competitor species and altered disturbance regimes. The results suggest that, lacking such data, models that combine climate data with current data on habitat factors such as vegetation can inform conservation planning by providing less-biased estimates of potential range shifts than do niche models based on climate variables alone.
机译:尽管经过深入研究的脊椎动物(如北斑O(NSO)在区域保护计划中经常被用作重点物种,但与气候变化有关的范围变化可能会损害这一作用。我使用Maxent(最大熵)方法从NSO位置,森林年龄和整体气候预测数据中开发了NSO分布模型。在两个空间尺度上,NSO的存在与旧森林和成熟森林的比例呈正相关。冬季降水是最重要的气候变量,与先前的研究一致表明对生存和募集有负面影响。模型结果表明,随着气候变化加剧,最初的生态位扩张可能会紧缩,但由于气候预测之间降水量预测变化的可变性,这一预测是不确定的。尽管美国西北森林计划创建的新保护区优先于对国家统计局具有重要生物学意义的区域,但在气候变化下,主要位于较高海拔地区的保护区的重要性在增加。与之前对该地区与当地森林相关的本地物种的分析相比,植被而非气候主导了国家统计局的分布模型。要对气候变化对重点物种的影响进行严格评估,就需要建立动态植被模型,其中应纳入竞争者物种的影响和改变的干扰机制。结果表明,与仅基于气候变量的利基模型相比,缺乏此类数据的将气候数据与栖息地因素(例如植被)的当前数据相结合的模型可以通过提供较少的潜在范围变化估计来为保护规划提供依据。

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