物种分布模型揭示西南亚牛科动物群落生态位划分

IF 0.9 4区 生物学 Q4 ECOLOGY Annales Zoologici Fennici Pub Date : 2021-04-07 DOI:10.5735/086.058.0108
Mahya Khosravi, Atefeh Chamani, R. Mirzaei
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引用次数: 0

摘要

尽管牛科的三个行会——鹿[马鹿(Cervus elaphus)和狍子(Capreolus Capreolus)]、瞪羚[甲状腺瞪羚(Gazella subgutturosa)和金卡拉(Gazella bennettii)]和山羊[牛黄山羊(Capra aegagrus)、亚美尼亚驼鹿(Ovis gmelini)和乌里羊(Ovis vignei)]——在亚洲西南部广泛共存,但关于它们的栖息地选择和生态位划分的详细信息却缺乏。利用基于MaxEnt的物种分布模型(SDMs)对这些物种的生境适宜性进行了评价。结果表明,ROC曲线下面积(AUC)为> 0.85的MaxEnt模型具有较好的预测价值。其中,马鹿/狍子生境重叠率最高(35.4%),喉瞪羚/金卡拉生境重叠率最低(3.6%)。本研究结果为研究牛科动物的生境选择和生态位划分提供了依据,有助于提高其保护水平。
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Species Distribution Models Unveil Niche Partitioning in Bovid Guilds of Southwestern Asia
Despite the widespread coexistence of three guilds of the bovid family — deer [red deer (Cervus elaphus) and roe deer (Capreolus capreolus)], gazelles [goitered gazelle (Gazella subgutturosa) and chinkara (Gazella bennettii)], and goats [bezoar goat (Capra aegagrus), Armenian mouflon (Ovis gmelini) and urial (Ovis vignei)] — in southwestern Asia, detailed information on their habitat selection and niche partitioning is lacking. We used species distribution models (SDMs) based on MaxEnt to assess the suitability of habitats for these species. The results showed that MaxEnt models with the area under the ROC curve (AUC) > 0.85 had a good predictive value. The highest and lowest habitat overlaps were obtained for red deer/roe deer (35.4%) and goitered gazelle/chinkara (3.6%), respectively. Our results provide information on habitat selection and niche partitioning in the studied bovids which can improve their conservation efforts.
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来源期刊
Annales Zoologici Fennici
Annales Zoologici Fennici 生物-动物学
CiteScore
2.40
自引率
14.30%
发文量
10
审稿时长
>12 weeks
期刊介绍: Annales Zoologici Fennici publishes mainly original research reports, but also in-depth reviews and commentaries on all aspects of animal ecology and evolution, and fields related to them. Our aim is to promote papers which focus on the interactions among various components in the past and present environments by using integrative and cross-disciplinary approaches. This may be achieved by employing tools from different fields of research, such as (but not restricted to): ecology and paleoecology, molecular ecology and phylogeography, conservation biology, human-induced contemporary evolution and wildlife management, animal behaviour and interactions (including recognition systems and mechanisms), paleontology (except systematics and taxonomy) and evolution, bioenergetics.
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