Modelling the distribution of a folivorous lemur under the impact of climate change

模拟气候变化影响下的叶狐猴的分布

• 批准号: 255752335
• 负责人: Professor Dr. Jörg U. Ganzhorn
• 金额: --
• 依托单位: Abteilung Tierökologie und Naturschutz
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/255752335?language=en
• 关键词: Modelling; distribution; folivorous; lemur; under

The project aims to develop principles for simple distribution models for lemurs and other vertebrates of the spiny forest ecosystem in Madagascar. Modern species distribution models are based on high-tech input provided by remote sensing techniques, combined with sophisticated computing algorithms and climate change scenarios. While these models can advance our understanding of the constraints acting upon species, their interaction with other species and the environment, and make predictions of future changes based on specific scenarios, these models are applied rarely in actual biodiversity management. Reasons for this could be that actors on the ground do not have the skills, the time and guidance needed to acquire the skills, or the technical means to process these models. The proposed study will use simple and freely available images from Google Earth to develop decision rules for conservation managers for assessing the state of the globally unique spiny forest ecosystems in Madagascar. The spiny forests differ markedly from more humid forests and have very different structures (such as trees with very small crowns) that are not captured by the standard criteria for forest classification. We will use an iterative approach of field and desk studies to link these constraining components to features of forests recognizable on Google Earth images. For this, we will take advantage of the previous work on a folivorous lemur species (Lepilemur petteri). This species is feeding mostly on leaves and requires specific tree characteristics that should be suitable either for direct identification on Google Earth images or by identifying proxies on larger scales. By linking structural characteristics of the spiny forest ecosystem to the needs of lemurs (specifically Lepilemur petteri) on the one hand, and to features that can be measured in freely available remote sensing data, we aim to provide a low-cost tool for effective conservation planning in spiny forest ecosystems.

该项目旨在为马达加斯加的丝丁森林生态系统的狐猴和其他脊椎动物制定原理。现代物种分布模型基于遥感技术提供的高科技输入，结合了复杂的计算算法和气候变化方案。尽管这些模型可以提高我们对物种作用的约束，它们与其他物种和环境的相互作用的理解，并根据特定情况对未来的变化进行预测，但这些模型很少应用于实际的生物多样性管理中。这样做的原因可能是当地的演员没有获得技能的技能，时间和指导，也没有处理这些模型的技术手段。拟议的研究将使用Google Earth的简单且免费的图像来为保护经理制定决策规则，以评估马达加斯加全球独特的森林生态系统的状态。多刺森林与更潮湿的森林明显不同，并且具有非常不同的结构（例如，树冠的树木非常小），这些结构未被森林分类的​​标准标准所捕获。我们将使用现场和书桌研究的迭代方法将这些约束成分与在Google Earth Images上识别的森林的特征联系起来。为此，我们将利用先前在Folivorooflemur物种（Lepilemur Petteri）上的工作。该物种主要以叶子为食，需要特定的树特征，应适合在Google Earth图像上直接识别或通过识别较大尺度的代理。一方面，通过将刺森林生态系统的结构特征与狐猴的需求联系起来，一方面是可以在可自由使用的遥感数据中测量的特征，我们旨在为在刺丁香森林生态系统中提供有效的保护计划。