Abstract Transforming conservation science and practice calls for rallying people's interest in biodiversity while evaluating the response of biodiversity to anthropogenic transformations. Anthropogenic landscapes are critical as they encompass most of the available spaces for living species and shape evolutionary forces for wildlife in the Anthropocene. We propose a methodology to assess wildlife distribution and habitat suitability in such landscapes based-on local knowledge. With increasing human population and habitat degradation, human-baboon conflicts are exacerbating throughout the Western Cape, South Africa. During participatory mapping workshops, we collected baboon sightings and indices of landscape use by participants to control observer bias to model baboon occurrence using presence-only models (with MaxEnt). We considered different biases associated with citizen data in the modelling process and conducted field validations. Sightings redundancy allows identifying core and extended baboons distribution ranges. We found that the distances to protected areas and wildlife corridors were the main determinants of baboon occurrence while land-cover had little influence. This later result underlies baboons behavioural flexibility in coping with land-use change. Overall, our results are consistent with studies using GPS collars in similar environments. Beyond generating meaningful information to understand wildlife distribution in anthropogenic landscape with a low-cost, fast and non-invasive approach, our methodology allowed local stakeholders to share insights about human-baboon coexistence. Well-designed participatory and collaborative methodologies are critical in conservation programmes, we discuss the role of developing such participatory mapping and modelling approaches to not only produce relevant information when resources are limited but also to unravel local solutions for conservation.

中文翻译：

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集结公民知识以评估人为景观中野生动物的发生和栖息地适宜性

摘要 保护科学和实践的变革要求在评估生物多样性对人为转变的响应的同时唤起人们对生物多样性的兴趣。人为景观是至关重要的，因为它们包含了生物物种的大部分可用空间，并塑造了人类世野生动物的进化力量。我们提出了一种基于当地知识评估此类景观中野生动物分布和栖息地适宜性的方法。随着人口的增加和栖息地的退化，整个南非西开普省的人与狒狒冲突正在加剧。在参与式绘图研讨会期间，我们收集了狒狒目击事件和参与者景观使用指数，以控制观察者偏见，使用仅存在模型（使用 MaxEnt）对狒狒发生进行建模。我们在建模过程中考虑了与公民数据相关的不同偏差，并进行了现场验证。瞄准冗余允许识别核心和扩展狒狒分布范围。我们发现到保护区和野生动物走廊的距离是狒狒出现的主要决定因素，而土地覆盖影响很小。这一后来的结果是狒狒在应对土地利用变化方面的行为灵活性的基础。总体而言，我们的结果与在类似环境中使用 GPS 项圈的研究一致。除了通过低成本、快速和非侵入性的方法生成有意义的信息来了解人为景观中野生动物的分布之外，我们的方法还允许当地利益相关者分享有关人与狒狒共存的见解。