Geographical distribution modelling for Neospora caninum and Coxiella burnetii infections in dairy cattle farms in northeastern Spain

2012 ◽  
Vol 141 (1) ◽  
pp. 81-90 ◽  
Author(s):  
C. NOGAREDA ◽  
A. JUBERT ◽  
V. KANTZOURA ◽  
M. K. KOUAM ◽  
H. FEIDAS ◽  
...  

SUMMARYMaximum entropy ecological niche modelling and spatial scan statistic were utilized to predict the geographical range and to investigate clusters of infections for Neospora caninum and Coxiella burnetii in dairy cattle farms in Catalonia, northeastern Spain, using the Maxent and SaTScan programs, respectively. The geographical distribution of Neospora and Coxiella with the highest level of probability (P > 0·60) covers central Catalonia and spreads towards northeastern Catalonia which contains a high concentration of dairy cattle farms. The most important environmental factor that contributed to the ecological niche modelling was precipitation of driest month followed by elevation. Significant clusters (P < 0·001) were detected for Neospora and Coxiella infections in the western and eastern regions of Catalonia, respectively.

2009 ◽  
Author(s):  
Renata L Stange ◽  
Fabiana S Santana ◽  
Bruna Buani ◽  
Pedro L. P Correa ◽  
Antonio M Saraiva

2002 ◽  
Vol 88 (2) ◽  
pp. 408
Author(s):  
S. L. P. de Souza ◽  
J. S. Guimaraes ◽  
F. Ferreira ◽  
J. P. Dubey ◽  
S. M. Gennari

2014 ◽  
Vol 176 (3) ◽  
pp. 332-348 ◽  
Author(s):  
Verônica A. Thode ◽  
Gustavo A. Silva-Arias ◽  
Caroline Turchetto ◽  
Ana Lúcia A. Segatto ◽  
Geraldo Mäder ◽  
...  

2021 ◽  
Author(s):  
Pascaline Salvado ◽  
Pere Aymerich Boixader ◽  
Josep Parera ◽  
Albert Vila Bonfill ◽  
Maria Martin ◽  
...  

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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