Climate change threats to protected plants of China: an evaluation based on species distribution modeling

2014 ◽  
Vol 59 (34) ◽  
pp. 4652-4659 ◽  
Author(s):  
Yinbo Zhang ◽  
Yuzhuo Wang ◽  
Minggang Zhang ◽  
Keping Ma
Keyword(s):  
Climate Change ◽  
Species Distribution ◽  
Species Distribution Modeling ◽  
Distribution Modeling ◽  
Protected Plants

Spatial conservation planning under climate change: Using species distribution modeling to assess priority for adaptive management of Fagus crenata in Japan

2013 ◽  
Vol 21 (6) ◽  
pp. 406-413 ◽  
Author(s):  
Katsuhiro Nakao ◽  
Motoki Higa ◽  
Ikutaro Tsuyama ◽  
Tetsuya Matsui ◽  
Masahiro Horikawa ◽  
...  
Keyword(s):  
Climate Change ◽  
Adaptive Management ◽  
Species Distribution ◽  
Conservation Planning ◽  
Species Distribution Modeling ◽  
Fagus Crenata ◽  
Distribution Modeling ◽  
Spatial Conservation Planning

Vulnerability of subalpine fir species to climate change: using species distribution modeling to assess the future efficiency of current protected areas in the Korean Peninsula

2018 ◽  
Vol 33 (2) ◽  
pp. 341-350 ◽  
Author(s):  
Jong‐Hak Yun ◽  
Katsuhiro Nakao ◽  
Ikutaro Tsuyama ◽  
Tetsuya Matsui ◽  
Chan‐Ho Park ◽  
...  
Keyword(s):  
Climate Change ◽  
Protected Areas ◽  
Species Distribution ◽  
Korean Peninsula ◽  
Species Distribution Modeling ◽  
Subalpine Fir ◽  
Distribution Modeling ◽  
The Future

scholarly journals Is the future already here? The impact of climate change on the distribution of the eastern coral snake (Micrurus fulvius)

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4647 ◽  
Author(s):  
Jennifer N. Archis ◽  
Christopher Akcali ◽  
Bryan L. Stuart ◽  
David Kikuchi ◽  
Amanda J. Chunco
Keyword(s):  
Climate Change ◽  
United States ◽  
Species Distribution ◽  
Southeastern United States ◽  
Species Distribution Modeling ◽  
Future Climate ◽  
Range Shifts ◽  
Climate Data ◽  
Coral Snake ◽  
Distribution Modeling

Anthropogenic climate change is a significant global driver of species distribution change. Although many species have undergone range expansion at their poleward limits, data on several taxonomic groups are still lacking. A common method for studying range shifts is using species distribution models to evaluate current, and predict future, distributions. Notably, many sources of ‘current’ climate data used in species distribution modeling use the years 1950–2000 to calculate climatic averages. However, this does not account for recent (post 2000) climate change. This study examines the influence of climate change on the eastern coral snake (Micrurus fulvius). Specifically, we: (1) identified the current range and suitable environment of M. fulvius in the Southeastern United States, (2) investigated the potential impacts of climate change on the distribution of M. fulvius, and (3) evaluated the utility of future models in predicting recent (2001–2015) records. We used the species distribution modeling program Maxent and compared both current (1950–2000) and future (2050) climate conditions. Future climate models showed a shift in the distribution of suitable habitat across a significant portion of the range; however, results also suggest that much of the Southeastern United States will be outside the range of current conditions, suggesting that there may be no-analog environments in the future. Most strikingly, future models were more effective than the current models at predicting recent records, suggesting that range shifts may already be occurring. These results have implications for both M. fulvius and its Batesian mimics. More broadly, we recommend future Maxent studies consider using future climate data along with current data to better estimate the current distribution.

Computational Techniques for Biologic Species Distribution Modeling

2011 ◽  
pp. 308-325
Author(s):  
Pedro Corrêa ◽  
Mariana Carvalhaes ◽  
Antonio Saraiva ◽  
Fabrício Rodrigues ◽  
Elisângela Rodrigues ◽  
...  
Keyword(s):  
Climate Change ◽  
Maximum Entropy ◽  
Species Distribution ◽  
Potential Distribution ◽  
Species Distribution Modeling ◽  
Computational Techniques ◽  
Distribution Modeling ◽  
Occurrence Pattern ◽  
Conservation Of Biodiversity

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.

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