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- W266477182 abstract "Landscape modification is actually recognized as major threat to biodiversity. Habitat loss and habitat fragmentation per se are acknowledged as the main negative consequences caused by landscape changes. Especially, habitat fragmentation modify landscape configuration, creating several areas of lower quality (matrix). The division of large continuous patches into smaller habitat patches surrounded by a low permeable matrix, greatly disturbs connectivity across the landscape. This movement disruption, among other negative consequences, impedes gene flow across the landscape. Eventually, this phenomenon will lead populations to inbreeding depression and loss of genetic diversity, reducing overall population fitness. In order to counteract these negative effects, conservation measures should be implemented. Nevertheless, accurate measures should be supported by solid scientific knowledge, and new research fields, like the landscape genetics prove to play an important role in conservation. Currently, Mediterranean landscapes are dominated by agro-forestry systems, where a great proportion of the original Mediterranean forest was transformed into agricultural fields. Therefore, genetic connectivity of several forest specialists, such as forest carnivores, may be particularly affected by these landscape changes. To understand the role of specific landscape features in shaping gene flow, it is fundamental to accurately quantify the resistance that these features impose to gene flow. Here, taking advantage of previously radio-tracking data collected for common genets (which are forest species) in an agro-forestry system in southern Portugal, a resource selection function (RSF) was estimated to objectively assess how landscape variables influenced genetic relatedness. Here, three hypotheses were tested: (1) radio-tracking data will reveal that common genets use more forested areas when compared with other types of habitats; (2) parental analysis and movement data will not present concordant results; and (3) models which assume habitat heterogeneity as a crucial factor that influences genetic variation between individuals will be more statistically supported than simpler models (for example, isolation-by-distance and isolation-by-barrier models). Seventeen microsatellites were successfully genotyped with low genotyping error rates for 74 samples, in order to estimate genetic relatedness between individuals. The conditional logistic regression equation calculated in the RSF was in accordance with previous studies, demonstrating that common genets select positively areas with high availability of ecological resources (montado forests and riparian corridors) and avoided agricultural fields and areas near human disturbance. Despite the highway disrupt movements (accordingly with radio-tracking data), this particular population is not genetically substructured probably due to the recent construction of this feature. Thus, the population did not have enough time to respond to the construction of the highway. Contrary to the initial hypotheses, the IBD (isolation-by-distance) model was more supported than the competing models, despite presenting low correlation values (Mantel r=-0.07; p<0.001). Most samples are clustered (non-random sampling) in a small region holding suitable contiguous habitat FCUP Combining movement and genetic data to assess a forest carnivore’s response to forest fragmentation vi which probably hampered the analyses. Since these samples are spatially close (increasing the probability of familiar relationships) in a favourable area, there are not great variations at the genetic level between individuals in that particular sampled zone. This implies that the different landscape features that were analysed are poorly represented in ecological distances calculations between individuals. Thus, in that particular region the geographical distance is probably the main factor influencing gene flow. Additionally, the role that riparian corridors may play as dispersal enhancers in unsuitable habitats and limitations concerning the modelling techniques used here, may have also contributed for the observed results. Refining the methodology employed here in the future, by accounting spatial and temporal scales that likely describe more realistically how processes responsible for genetic connectivity operate, is fundamental to obtain more robust results. This is very important, if conservation authorities want to reduce the effects of fragmentation in Mediterranean species in a near future.." @default.
- W266477182 created "2016-06-24" @default.
- W266477182 creator A5051929939 @default.
- W266477182 date "2013-11-15" @default.
- W266477182 modified "2023-09-26" @default.
- W266477182 title "Combining movement and genetic data to assess a forest carnivore's response to forest fragmentation" @default.
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