Distribution and richness of amphibians under different climate change scenarios in a subtropical region of South America

Schivo, Facundo; Bauni, Valeria; Krug, Pamela; Quintana, Rubén D.

doi:10.1016/j.apgeog.2019.01.003

Cited by 21 publications

(11 citation statements)

References 82 publications

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“…Druckman et al (Ben-Elia and Benenson, 2019;Druckman and Jackson, 2008;Lee et al, 2019;Tomul, 2009) used the Lorenz curve and the Gini coefficient to quantify the equilibrium or fairness of the allocated resources in space, and proposed corresponding solutions; Laasasenaho et al (Anderson, 2009;Z. Chen et al, 2019;Laasasenaho et al, 2019;Lin et al, 2018;Schivo et al, 2019) used the kernel density methods to simulate the probability of event occurrence, and applied GIS to image the hot spot. According to the above research content, this paper uses GIS, spatial uniformity analysis and kernel density methods to systematically analyze the distribution type, distribution uniformity and distribution position of traditional villages in Shaanxi Province, and apply ArcGIS 10.4 and other related software.…”

Section: Methodsmentioning

confidence: 99%

RETRACTED ARTICLE: Distribution of rural tourism development in geographical space: a case study of 323 traditional villages in Shaanxi, China

Yang

Hou

et al. 2020

European Journal of Remote Sensing

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Spatial distribution of traditional village is the key factor for the sustainable development of rural tourism. Analyzing distribution characteristics and development conditions of traditional villages have profound implications for rural revitalization and all-for-one tourism. Firstly, this research introduced the characteristics and historic value of traditional villages in each region of Shaanxi province. Secondly, this paper analyzed the spatial distribution characteristics of 323 provincial-level traditional villages by using the method of quantitative geography through geographic information systems (GIS). Then, according to spatial type division, this research divided the spatial distribution of rural tourism in Shaanxi province into five areas, including linear tourist area, facial health area, distributed leisure area, low-density scenic area, selfdriving tourist area. Finally, this paper summarized the development conditions of rural tourism in Shaanxi's traditional villages and took case studies. The natural environment, social economy, and historical culture are crucial conditions for the sustainable development of traditional villages, influencing the spatial distribution of these villages. This paper summarized the spatial distribution of rural tourism development and proposed a guide for future space planning and construction for all-for-one tourism in other areas through empirical research on spatial distribution. Meanwhile, this research provides new ideas for rural revitalization.

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Section: Methodsmentioning

confidence: 99%

RETRACTED ARTICLE: Distribution of rural tourism development in geographical space: a case study of 323 traditional villages in Shaanxi, China

Yang

Hou

et al. 2020

European Journal of Remote Sensing

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“…Given the low density of PAs in the South of Brazil, the expansion and implementation of new Priority Conservation Areas will benefit other amphibian species (either widespread or restricted) that will also be negatively affected by climate change (see also Schivo et al, 2019;Vasconcelos & Nascimento, 2016;Zank et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Predicting impacts of global climatic change on genetic and phylogeographical diversity of a Neotropical treefrog

Jardim

Ballesteros‐Mejia

Maciel

et al. 2021

Diversity and Distributions

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“…2Limited dispersal: Future projected habitat suitability only considered within a buffer around current suitable habitat to where species could disperse. These studies usually use a cutoff based on expert opinion on possible dispersal distances for species or consider connectivity of suitable habitat (Schivo et al 2019). Alternatively, some studies used a simulation to model whether the species could actually move to newly available habitat (e.g., Subba et al 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Clearing up the Crystal Ball: Understanding Uncertainty in Future Climate Suitability Projections for Amphibians

2020

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Amphibian populations are threatened globally, and one of the hypotheses for these declines is climate change. Species distribution models are frequently used to predict changes in suitable habitat as a result of changing climates; however, these projections can be heavily influenced by choice of modeling approach. To evaluate global predictions for amphibians, we conducted a literature review of studies that utilize correlative species distribution models to project changes in climate suitability under various climate change scenarios. We paid particular attention to the use of model selection in choosing among candidate species distribution models (SDMs) so as to control for overparameterization of SDMs. In addition, we conducted a case study with three species of Slender Salamanders (Batrachoseps) to further investigate the impact of differences in modeling decisions on projected amphibian climate suitability. We found 83 studies (including the present case study) in which projections of future climate suitability were made for amphibian species. Of those studies, 36 included estimates of percent change in climate suitability and thus were included in our meta-analysis. These studies included projections for over 1000 species or species complexes, with the majority being Anurans (86%), and encompassed five continents with the most representation in South America, Europe, and North America. Across these studies, average projected change in climate suitability ranged from À70% to 167%, and these projected changes varied with dispersal assumptions representative concentration pathway (RCP) used, the projection year, and taxonomic order. Only three of the 36 studies reported the use of Akaike information criterion (AIC)-based model selection to choose a best-fit SDM. However, our case study demonstrated that predicted change in climate suitability varied whether the best-fit or default SDM was used for projections. Further, this result varied among species (DAIC ¼ 0), suggesting that the impact of overparameterization differs across species. Our results illustrate that there is a pressing need to project climate suitability across more species and more geographic regions. In addition, we may need to revisit projections for previously investigated species to evaluate additional climate scenarios and whether overparameterization may have influenced projections. Our ability to accurately model future changes in climate suitability will be essential for successful conservation and management plans for amphibians.

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Distribution and richness of amphibians under different climate change scenarios in a subtropical region of South America

Cited by 21 publications

References 82 publications

RETRACTED ARTICLE: Distribution of rural tourism development in geographical space: a case study of 323 traditional villages in Shaanxi, China

RETRACTED ARTICLE: Distribution of rural tourism development in geographical space: a case study of 323 traditional villages in Shaanxi, China

Predicting impacts of global climatic change on genetic and phylogeographical diversity of a Neotropical treefrog

Clearing up the Crystal Ball: Understanding Uncertainty in Future Climate Suitability Projections for Amphibians

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