Potential distribution under different climatic scenarios of climate change of the vulnerable Caucasian salamander (Mertensiella caucasica): A case study of the Caucasus Hotspot

Biologia ◽  
2018 ◽  
Vol 73 (2) ◽  
pp. 175-184 ◽  
Author(s):  
Serkan Gül ◽  
Yusuf Kumlutaş ◽  
Çetin Ilgaz
2018 ◽  
Vol 93 (4) ◽  
pp. 1221-1222
Author(s):  
Said Moukrim ◽  
Said Lahssini ◽  
Mouhssine Rhazi ◽  
Hicham Mharzi Alaoui ◽  
Abdelkader Benabou ◽  
...  

Author(s):  
Pedro Corrêa ◽  
Mariana Carvalhaes ◽  
Antonio Saraiva ◽  
Fabrício Rodrigues ◽  
Elisângela Rodrigues ◽  
...  

Computational modeling techniques for species geographic distribution are critical to support the task of identifying areas with high risk of loss of Biodiversity. These tools can assist in the conservation of Biodiversity, in planning the use of non-inhabited regions, in estimating the risk of invasive species, in the proposed reintroduction programs for species and even in planning the protecting endangered species. Furthermore, such techniques can help to understand the effects of climate change and other changes in the geographical distribution of species. This chapter presents concepts related to the species distribution modeling and algorithms based on Neural Networks and Maximum Entropy as alternatives for modeling of species distribution. The algorithms were integrated into the open source tool called openModeller used by biologists and other researchers in this area. A case study of modeling the distribution of babaçu (Orbignya phalerata) in the Piauí State – Brazil is presented, evaluating the potential distribution of this species used to produce bioenergy. Fifty models were generated and merged the ten models with best accuracy for each algorithm. The results show that the models obtained by both are consistent. The models obtained with Maximum Entropy seem to reflect best the reality, considering the occurrence pattern of babaçu as a secondary species.


2018 ◽  
Vol 93 (4) ◽  
pp. 1209-1219 ◽  
Author(s):  
Said Moukrim ◽  
Said Lahssini ◽  
Mouhssine Rhazi ◽  
Hicham Mharzi Alaoui ◽  
Abdelkader Benabou ◽  
...  

2021 ◽  
Vol 43 ◽  
pp. 147-166
Author(s):  
Rubén Ramírez-Rodríguez ◽  
Manuel Melendo-Luque ◽  
Juan Diego Rus-Moreno ◽  
Francisco Amich

A particular threat posed by climate change for biodiversity conservation, one which has scarcely been studied, is the overlap of the potential distribution areas in phylogenetically closely related species. In this study, Species Distribution Modelling (SDM) was used to investigate the potential changes in the distribution of Delphinium bolosii and D. fissum subsp. sordidum under future climatic scenarios. These two closely related and endangered endemic species from the Iberian Peninsula do not have complete reproductive barriers between them. The two models selected different predictors with a similar effect in the biological cycle. Both taxa need low winter temperatures to break seed dormancy and sufficient rainfall to complete the flowering and fruiting stages. The current potential distribution areas of both taxa do not currently overlap. However, the results showed that potential changes may take place in the species’ distribution range under future climate scenarios. The models predict a reduction of the potential distribution area of D. bolosii while, conversely, the potential distribution area of D. fissum subsp. sordidum increased. In both cases, the predicted contraction in range is very high, and loss of habitat suitability in some current localities is worrying. Notwithstanding, the models do not predict overlaps of potential areas under climate change scenarios. Our findings can be used to define areas and populations of high priority for conservation or to take action against the impacts of climate change on these endangered species.


2019 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Robyn Gulliver ◽  
Kelly S. Fielding ◽  
Winnifred Louis

Climate change is a global problem requiring a collective response. Grassroots advocacy has been an important element in propelling this collective response, often through the mechanism of campaigns. However, it is not clear whether the climate change campaigns organized by the environmental advocacy groups are successful in achieving their goals, nor the degree to which other benefits may accrue to groups who run them. To investigate this further, we report a case study of the Australian climate change advocacy sector. Three methods were used to gather data to inform this case study: content analysis of climate change organizations’ websites, analysis of website text relating to campaign outcomes, and interviews with climate change campaigners. Findings demonstrate that climate change advocacy is diverse and achieving substantial successes such as the development of climate change-related legislation and divestment commitments from a range of organizations. The data also highlights additional benefits of campaigning such as gaining access to political power and increasing groups’ financial and volunteer resources. The successful outcomes of campaigns were influenced by the ability of groups to sustain strong personal support networks, use skills and resources available across the wider environmental advocacy network, and form consensus around shared strategic values. Communicating the successes of climate change advocacy could help mobilize collective action to address climate change. As such, this case study of the Australian climate change movement is relevant for both academics focusing on social movements and collective action and advocacy-focused practitioners, philanthropists, and non-governmental organizations.


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