Upward Altitudinal Shifts in Habitat Suitability of Mountain Vipers Since the Last Glacial Maximum

Upward Altitudinal Shifts in Habitat Suitability of Mountain Vipers Since the Last Glacial Maximum

RESEARCH ARTICLE Upward Altitudinal Shifts in Habitat Suitability of Mountain Vipers since the Last Glacial Maximum Masoud Yousefi1, Mohsen Ahmadi1,2, Elham Nourani1,3, Roozbeh Behrooz4, Mehdi Rajabizadeh5,6,7, Philippe Geniez4, Mohammad Kaboli1* 1 Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Tehran, Iran, 2 Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran, 3 Graduate School of Fisheries Science and Environmental Studies, Nagasaki University, Nagasaki, Japan, 4 CEFE UMR 5175, CNRS—Université de Montpellier—Université Paul-Valéry Montpellier–EPHE, laboratoire Biogéographie et écologie des vertébrés, 1919 route de Mende, 34293 Montpellier cedex 5, France, 5 Evolutionary Morphology of Vertebrates, Ghent University, Ghent, Belgium, 6 Department of Biodiversity, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran, 7 Iranian Plateau Herpetology Research Group (IPHRG), Faculty of Science, Razi University, Kermanshah, Iran * [email protected] Abstract We determined the effects of past and future climate changes on the distribution of the Mon- OPEN ACCESS tivipera raddei species complex (MRC) that contains rare and endangered viper species limited to Iran, Turkey and Armenia. We also investigated the current distribution of MRC to Citation: Yousefi M, Ahmadi M, Nourani E, Behrooz locate unidentified isolated populations as well as to evaluate the effectiveness of the cur- R, Rajabizadeh M, Geniez P, et al. (2015) Upward Altitudinal Shifts in Habitat Suitability of Mountain rent network of protected areas for their conservation. Present distribution of MRC was Vipers since the Last Glacial Maximum. PLoS ONE modeled based on ecological variables and model performance was evaluated by field vis- 10(9): e0138087. doi:10.1371/journal.pone.0138087 its. Some individuals at the newly identified populations showed uncommon morphological Editor: Ulrich Joger, State Natural History Museum, characteristics. The distribution map of MRC derived through modeling was then compared GERMANY with the distribution of protected areas in the region. We estimated the effectiveness of the Received: September 1, 2014 current protected area network to be 10%, which would be sufficient for conserving this Accepted: August 26, 2015 group of species, provided adequate management policies and practices are employed. We further modeled the distribution of MRC in the past (21,000 years ago) and under two Published: September 14, 2015 scenarios in the future (to 2070). These models indicated that climatic changes probably Copyright: © 2015 Yousefi et al. This is an open have been responsible for an upward shift in suitable habitats of MRC since the Last Glacial access article distributed under the terms of the Creative Commons Attribution License, which permits Maximum, leading to isolation of allopatric populations. Distribution will probably become unrestricted use, distribution, and reproduction in any much more restricted in the future as a result of the current rate of global warming. We con- medium, provided the original author and source are clude that climate change most likely played a major role in determining the distribution pat- credited. tern of MRC, restricting allopatric populations to mountaintops due to habitat alterations. Data Availability Statement: All relevant data are This long-term isolation has facilitated unique local adaptations among MRC populations, within the paper and its Supporting Information files. which requires further investigation. The suitable habitat patches identified through model- Funding: The authors received no specific funding ing constitute optimized solutions for inclusion in the network of protected areas in the for this work. region. Competing Interests: The authors have declared that no competing interests exist. PLOS ONE | DOI:10.1371/journal.pone.0138087 September 14, 2015 1/14 Altitudinal Shifts in Mountain Viper Habitats Introduction Global climate change is responsible for large-scale alterations in geographic distributions of animal and plant species worldwide [1,2]. The magnitude of such changes is expected to increase with latitude, putting mountain-dwelling species especially at risk in the face of future climatic changes [1]. Climate-induced habitat alterations are particularly severe for reptiles [3– 5]. In fact, occurrence of reptiles has been highly impacted by climatic changes throughout his- tory, mainly due to their limited dispersal ability [6]. In general, current geographic distributions of taxa can be explained by the patterns of past climate changes, especially relative to glacial periods [7,8]. The ice ages became especially severe through the Pleistocene [7] and the most recent glaciation reached a peak about 18,000– 21,000 years ago [9]. In the Iranian plateau, the resulting shifts in the snowline in mountainous regions reshuffled the geographic distribution of many taxa [10]. The Montivipera raddei species complex (MRC) contains rare species with small allopatric populations [11–13] that are distributed in highland habitats of Iran-Anatolian plateau and the lesser Caucasus Mountains [14]. Following Rajabizadeh (2013), MRC consists of four taxa: Montivipera kuhrangica [11], M. latifii [15], M. raddei raddei [16], and M. raddei albicornuta [17]. The whole complex faces severe threats that make it highly vulnerable to extinction [11,12,18]. Habitat loss is indeed the major threat, especially to M. kuhrangica, M. r. albicor- nuta, and M. latifii, which are endemic to Iran and exceptionally rare [11,19]. Illegal collection- especially of M. r. albicornuta and M. latifii- for antivenin production [20] is also taking a toll on these vulnerable species. The distribution of MRC has not been thoroughly investigated and factors limiting its distri- bution are not understood. It is known however, that MRC populations appear in small iso- lated patches [11,12,21]. The recent identification of M. kuhrangica, as the most southern distribution among this complex in Zagros Mountains [11] indicates the possibility that within the matrix of seemingly unsuitable habitats for MRC, patches of suitable habitat occupied by isolated and relict populations have remained unidentified. Ecological Niche Models (ENMs) are fundamental tools for conservation and management of species [22,23], especially those that are rare, poorly documented [24], and are consequently in higher risk of extinction [25]. Species distribution modeling increases our knowledge on dis- tribution of species, highlights factors that are most important in shaping their distribution, and aids to make predictions about their potential distribution in the future [26–28]. Compar- ing ENMs with the current system of nature reserves can have great implications for conserva- tion of threatened species. The global climate has become considerably warmer since the Last Glacial Maximum 21 kyr BP (21,000 years before present) [29]. We therefore hypothesized that the current patchy dis- tribution of the MRC is a response to this climatic change which has limited these mountain- dwelling species to high elevations. Due to their dependence on cool climate [30], we further hypothesized that with the current rate of global climate warming, populations of this species complex will lose much of their currently suitable habitat and will be forced to move to even higher elevations to survive. To test these hypotheses, we used niche-based models and GIS to investigate the historical biogeography of MRC, as well as its future distribution in the face of two climate change scenarios. We also modeled the present distribution of MRC to identify unknown localities and assess the effectiveness of the protected area network in the region for conserving this species complex. PLOS ONE | DOI:10.1371/journal.pone.0138087 September 14, 2015 2/14 Altitudinal Shifts in Mountain Viper Habitats Materials and Methods Predictor variables Explanatory variables were prepared for two modeling approaches; a general model to predict the current potential distribution of MRC, and climate-only models to evaluate possible changes on bioclimatic niche under climate change scenarios. For the general model, we used three categories of eco-geographic factors, including climate, topography and land-cover (Table 1) that have a direct interaction with the species and were chosen based on ecological theory [31]. Climate variables were obtained from WorldClim dataset [32] as interpolated cli- mate data layers created by collecting large amounts of weather station data. We used climatic variables as the most important factors describing the species thermal tolerance as well as water availability throughout the year, temperature and precipitation in May, when vipers wake up from hibernation in our study area. Because of the high autocorrelation between climatic variables, we extracted values for these variables from occurrence points of the species and screened them to low-correlated (r < 0.8) variables. Using the Shuttle Radar Topography Mission (SRTM) elevation model, three topo- graphic explanatory variables were compiled: elevation and slope as the most important factors describing topographic context, as well as Solar Radiation Index (SRI), calculated for a period between April to June to depict total amount of incoming solar insolation (WH/m2 year). We considered SRI because the regarded period coincides with MRC post-hibernation, when receiving

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