Ecological niche modelling of cold-water corals in the Southern Ocean (N Antarctic), present distribution and future projections due to temperature changes

2019 ◽  
Vol 628 ◽  
pp. 73-93
Author(s):  
S Chaabani ◽  
PJ López-González ◽  
P Casado-Amezua ◽  
H Pehlke ◽  
L Weber ◽  
...  
Keyword(s):  
Southern Ocean ◽  
Ecological Niche ◽  
Cold Water ◽  
Ecological Niche Modelling ◽  
Niche Modelling ◽  
Future Projections ◽  
Temperature Changes ◽  
Present Distribution

scholarly journals Evaluation of the impacts of climate change on disease vectors through ecological niche modelling

2016 ◽  
Vol 107 (4) ◽  
pp. 419-430 ◽  
Author(s):  
B.M. Carvalho ◽  
E.F. Rangel ◽  
M.M. Vale
Keyword(s):  
Climate Change ◽  
Ecological Niche ◽  
Ecological Niche Modelling ◽  
Disease Vectors ◽  
Entomological Surveillance ◽  
Niche Modelling ◽  
Adaptation Measures ◽  
Gold Standard Method ◽  
Future Projections ◽  
Tropical Regions

AbstractVector-borne diseases are exceptionally sensitive to climate change. Predicting vector occurrence in specific regions is a challenge that disease control programs must meet in order to plan and execute control interventions and climate change adaptation measures. Recently, an increasing number of scientific articles have applied ecological niche modelling (ENM) to study medically important insects and ticks. With a myriad of available methods, it is challenging to interpret their results. Here we review the future projections of disease vectors produced by ENM, and assess their trends and limitations. Tropical regions are currently occupied by many vector species; but future projections indicate poleward expansions of suitable climates for their occurrence and, therefore, entomological surveillance must be continuously done in areas projected to become suitable. The most commonly applied methods were the maximum entropy algorithm, generalized linear models, the genetic algorithm for rule set prediction, and discriminant analysis. Lack of consideration of the full-known current distribution of the target species on models with future projections has led to questionable predictions. We conclude that there is no ideal ‘gold standard’ method to model vector distributions; researchers are encouraged to test different methods for the same data. Such practice is becoming common in the field of ENM, but still lags behind in studies of disease vectors.

Ecological niche modelling of the distribution of cold-water coral habitat using underwater remote sensing data

2009 ◽  
Vol 4 (2) ◽  
pp. 83-92 ◽  
Author(s):  
Janine Guinan ◽  
Colin Brown ◽  
Margaret F.J. Dolan ◽  
Anthony J. Grehan
Keyword(s):  
Remote Sensing ◽  
Ecological Niche ◽  
Cold Water ◽  
Remote Sensing Data ◽  
Ecological Niche Modelling ◽  
Niche Modelling ◽  
Sensing Data ◽  
Water Coral

scholarly journals Using centroids of spatial units in ecological niche modelling: Effects on model performance in the context of environmental data grain size

2021 ◽  
Author(s):  
Yanchao Cheng ◽  
Nils Benjamin Tjaden ◽  
Anja Jaeschke ◽  
Stephanie Margarete Thomas ◽  
Carl Beierkuhnlein
Keyword(s):  
Grain Size ◽  
Ecological Niche ◽  
Model Performance ◽  
Ecological Niche Modelling ◽  
Environmental Data ◽  
Niche Modelling

Specification of SOA Components and Web Services to Integrate Ecological Niche Modelling Systems and IABIN-PTN

2009 ◽  
Author(s):  
Renata L Stange ◽  
Fabiana S Santana ◽  
Bruna Buani ◽  
Pedro L. P Correa ◽  
Antonio M Saraiva
Keyword(s):  
Web Services ◽  
Ecological Niche ◽  
Ecological Niche Modelling ◽  
Niche Modelling

scholarly journals Genetic diversity and ecological niche modelling of the restrictedRecordia reitzii(Verbenaceae) from southern Brazilian Atlantic forest

2014 ◽  
Vol 176 (3) ◽  
pp. 332-348 ◽  
Author(s):  
Verônica A. Thode ◽  
Gustavo A. Silva-Arias ◽  
Caroline Turchetto ◽  
Ana Lúcia A. Segatto ◽  
Geraldo Mäder ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Atlantic Forest ◽  
Ecological Niche ◽  
Ecological Niche Modelling ◽  
Brazilian Atlantic Forest ◽  
Niche Modelling

scholarly journals Little hope for the polyploid endemic Pyrenean Larkspur (Delphinium montanum): evidences from population genomics and Ecological Niche Modelling

2021 ◽  
Author(s):  
Pascaline Salvado ◽  
Pere Aymerich Boixader ◽  
Josep Parera ◽  
Albert Vila Bonfill ◽  
Maria Martin ◽  
...  
Keyword(s):  
Population Structure ◽  
Ecological Niche ◽  
Population Genomics ◽  
Diploid Species ◽  
Ecological Niche Modelling ◽  
High Mountain ◽  
Suitable Habitat ◽  
Sky Islands ◽  
Niche Modelling ◽  
Ecological Requirements

Species endemic to restricted geographical ranges represent a particular conservation issue, be it for their heritage interest. In a context of global change, this is particularly the case for plants which belong to high-mountain ecosystems and, because of their ecological requirements, are doomed to survive or disappear on their "sky islands". The Pyrenean Larkspur (Delphinium montanum, Ranunculaceae) is endemic to the Eastern part of the Pyrenees (France and Spain). It is now only observable at a dozen of localities and some populations show signs of decline, such as a recurrent lack of flowering. Implementing population genomic approach (e.g. RAD-seq like) is particularly useful to understand genomic patterns of diversity and differentiation in order to provide recommendations in term of conservation. However, it remains challenging for species such as D. montanum that are autotetraploid with a large genome size (1C-value > 10 pg) as most methods currently available were developed for diploid species. A Bayesian framework able to call genotypes with uncertainty allowed us to assess genetic diversity and population structure in this system. Our results show evidence for inbreeding (mean GIS = 0.361) within all the populations and substantial population structure (mean GST = 0.403) at the metapopulation level. In addition to a lack of connectivity between populations, spatial projections of Ecological Niche Modelling analyses under different climatic scenarios predict a dramatic decrease of suitable habitat for D. montanum in the future. Based on these results, we discuss the relevance and feasibility of different conservation measures.

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