Assessing the climate change effects on the distribution pattern of the Azerbaijan Mountain Newt (Neurergus crocatus)

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
Elham Ebrahimi , Yasaman Ranjbaran , Romina Sayahnia , Faraham Ahmadzadeh
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引用次数: 5

Abstract

Climate change is a grave danger for humans and a looming threat to Earth's biodiversity in the twenty-first century. Assessing the vulnerability of species to climate change is critical for practical conservation efforts. Due to their limited dispersal ability, amphibians are one of the most vulnerable groups of vertebrates to climate change. Among them, the species that inhabit mountains suffer a tremendous amount of climate change-induced pressures. We, therefore, adopted the Azerbaijan Mountain Newt (Neurergus crocatus), which currently inhabits Northwest Iran, North Iraq, and Southeast Turkey, as a case study for assessing the effects of climate change on the distribution patterns of mountain amphibians. By applying the species distribution models (SDMs) in this study, we tried to hindcast the species distribution area in the past and illustrate the impacts of climate change on its distribution in the present and future (the 2050s and 2070s) climate conditions. Also, the patch metrics have been deployed for identifying habitat fragmentation. Our results indicate a more than 50% rise in the species’ current suitable habitats compared to its glacial refugia. The suitable habitat is expected to gradually decrease in RCP 2.6 and RCP 8.5. Among the three countries in which the species occurs, its distribution overlaps with protected areas only in Iraq. The number of habitat patches will grow and reach approximately 20 to 60 patches by 2070 and the average area of the patches will decrease throughout this time. Aside from the numerous threats that endanger the species, climate change puts the long-term existence of Azerbaijan Newt in jeopardy. The results of this study stress the urgent need for taking extreme measures on the species management and conserving its remnant habitat patches.

气候变化对亚塞拜然山蝾螈分布格局的影响
21世纪,气候变化对人类构成严重威胁,对地球生物多样性构成迫在眉睫的威胁。评估物种对气候变化的脆弱性对于实际的保护工作至关重要。由于其有限的传播能力,两栖动物是最易受气候变化影响的脊椎动物群体之一。其中,居住在山区的物种遭受了巨大的气候变化引起的压力。因此,我们以目前生活在伊朗西北部、伊拉克北部和土耳其东南部的阿塞拜疆山地蝾螈(Neurergus crocatus)为研究对象,评估气候变化对山地两栖动物分布格局的影响。本研究利用物种分布模型(SDMs),试图对过去的物种分布区域进行后推,并说明气候变化对现在和未来(2050年代和2070年代)气候条件下物种分布的影响。此外,已经部署了补丁度量来确定栖息地破碎化。我们的研究结果表明,与冰川避难所相比,该物种目前的适宜栖息地增加了50%以上。在RCP 2.6和RCP 8.5时,适宜生境将逐渐减少。在有该物种的三个国家中,它的分布只与伊拉克的保护区重叠。到2070年,栖息地斑块的数量将增加到约20至60个,斑块的平均面积将在此期间减少。除了对该物种的众多威胁外,气候变化使阿塞拜疆蝾螈的长期生存处于危险之中。研究结果表明,迫切需要采取极端措施进行物种管理和保护其剩余栖息地斑块。
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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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