Data from: Does wildlife resource selection accurately inform corridor conservation?

Evaluating landscape connectivity and identifying and protecting corridors for animal movement have become central challenges in applied ecology and conservation. Currently, resource selection analyses are widely used to focus corridor planning where animal movement is predicted to occur. An animal's behavioural state (e.g. foraging, dispersing) is a significant determinant of resource selection patterns, yet has largely been ignored in connectivity assessments. We review 16 years of connectivity studies employing resource selection analysis to evaluate how researchers have incorporated animal behaviour into corridor planning, and highlight promising new approaches for identifying wildlife corridors. To illustrate the importance of behavioural information in such analyses, we present an empirical case study to test behaviour-specific predictions of connectivity with long-distance dispersal movements of African wild dogs Lycaon pictus. We conclude by recommending strategies for developing more realistic connectivity models for future conservation efforts. Our review indicates that most connectivity studies conflate resource selection with connectivity requirements, which may result in misleading estimates of landscape resistance, and lack validation of proposed connectivity models with movement data. Our case study shows that including only directed movement behaviour when measuring resource selection reveals markedly different, and more accurate, connectivity estimates than a model measuring resource selection independent of behavioural state. Synthesis and applications. Our results, using African wild dogs as a case study, suggest that resource selection analyses that fail to consider an animal's behavioural state may be insufficient in targeting movement pathways and corridors for protection. This failure may result in misidentification of wildlife corridors and misallocation of limited conservation resources. Our findings underscore the need for considering patterns of animal movement in appropriate behavioural contexts to ensure the effective application of resource selection analyses for corridor planning.

评估景观连通性（landscape connectivity）、识别并保护动物移动廊道，已成为应用生态学与保护生物学领域的核心挑战。当前，资源选择分析（resource selection analysis）被广泛应用于预测动物移动发生区域的廊道规划工作。动物的行为状态（例如觅食、扩散）是决定资源选择模式的关键因素，但在连通性评估中却长期被忽视。我们对16年来采用资源选择分析的连通性相关研究进行了综述，以评估研究者如何将动物行为纳入廊道规划，并梳理了识别野生生物廊道的新兴有效方法。为阐明行为信息在这类分析中的重要性，我们以非洲野犬（Lycaon pictus）的长距离扩散移动为研究对象，开展实证案例研究以检验基于特定行为的连通性预测结果。最后，我们针对未来保护工作中如何构建更贴合实际的连通性模型提出了相关建议策略。我们的综述发现，多数连通性研究将资源选择与连通性需求混为一谈，这可能导致景观阻力（landscape resistance）估算出现偏差，且未通过移动数据对所提出的连通性模型进行验证。我们的案例研究表明，相较于不考虑行为状态的资源选择模型，仅以定向移动行为为基础开展资源选择测量所得出的连通性估算结果，不仅差异显著，且更为精准。

综合与应用。

以非洲野犬为案例的研究结果显示，若未考虑动物的行为状态，资源选择分析可能无法准确锁定需要保护的移动路径与廊道。这一疏漏可能导致野生生物廊道的识别错误，并造成有限保护资源的不合理分配。我们的研究结果强调，为确保资源选择分析在廊道规划中的有效应用，必须结合合适的行为情境来分析动物移动模式。