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Identifying priority conservation areas for a recovering brown bear population in Greece using citizen science data
Animal Conservation ( IF 2.8 ) Pub Date : 2019-07-05 , DOI: 10.1111/acv.12522
A.‐S. Bonnet‐Lebrun 1 , A. A. Karamanlidis 2, 3 , M. de Gabriel Hernando 2, 4 , I. Renner 5 , O. Gimenez 1
Affiliation  

Understanding the processes related to wildlife recoveries is not only essential in solving human – wildlife conflicts, but also for identifying priority conservation areas and in turn, for effective conservation planning. We used data from a citizen science program to study spatial aspects of the demographic and genetic recovery of brown bears in Greece and to identify new areas for their conservation. We visually compared our data with an estimation of the past distribution of brown bears in Greece and used a point process approach to model habitat suitability. We then compared our results with the current distribution of brown bear records and with that of protected areas. Our results indicate that in the last 15 years bears may have increased their range by as much as 100%, by occupying mainly anthropogenic landscapes and areas with suitable habitat that are currently not legally protected, thus creating a new conservation reality for the species in Greece. This development dictates the re‐evaluation of the national management and conservation priorities for brown bears in Greece by focusing in establishing new protected areas that will safeguard their recovery. Our conservation approach is a swift and cheap way of identifying priority conservation areas, while gaining important insights on spatial aspects of population recovery. It will help prioritize conservation actions for brown bears in Greece and may serve as a model conservation approach to countries facing similar financial and logistic constraints in the monitoring of local biodiversity or facing challenges in managing rapid population recoveries. Our conservation approach appeared to be particularly suited to identifying priority areas for conservation in areas with recovering wildlife populations and may therefore be used as an ‘early‐warning’ conservation system.

中文翻译:

使用公民科学数据确定希腊棕熊种群恢复的优先保护区

了解与野生动物恢复相关的过程不仅对于解决人与野生动物之间的冲突至关重要,而且对于确定优先保护区并进而进行有效的保护规划也至关重要。我们使用来自公民科学计划的数据来研究希腊棕熊的人口统计和基因恢复的空间方面,并确定新的保护区域。我们直观地将我们的数据与希腊棕熊过去分布的估计进行了比较,并使用点过程方法来模拟栖息地适宜性。然后,我们将我们的结果与棕熊记录的当前分布和保护区的分布进行了比较。我们的结果表明,在过去的 15 年里,空头的范围可能增加了 100%,通过占据目前不受法律保护的主要人为景观和具有合适栖息地的区域,从而为希腊的物种创造了新的保护现实。这一发展要求重新评估希腊棕熊的国家管理和保护优先事项,重点是建立新的保护区,以保护它们的恢复。我们的保护方法是一种确定优先保护区的快速而廉价的方法,同时获得关于人口恢复空间方面的重要见解。它将有助于优先考虑希腊棕熊的保护行动,并可以作为在监测当地生物多样性方面面临类似财政和物流限制或在管理快速种群恢复方面面临挑战的国家的示范保护方法。
更新日期:2019-07-05
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