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Версія від 10:29, 29 квітня 2017, створена Knot32gallon (обговореннявнесок) (Створена сторінка: Location? Papyrus, Cyperus papyrus, swamps in east central Africa. Methods? Presence/absence surveys of six bird species in 93 wetlands were used to construct m...)

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Location? Papyrus, Cyperus papyrus, swamps in east central Africa. Methods? Presence/absence surveys of six bird species in 93 wetlands were used to construct models predicting probability of occurrence from habitat characteristics. Densities were then determined from surveys in 23 additional wetlands and modelled as functions of occurrence probability. We then used satellite imagery to derive habitat characteristics remotely in two time periods (1984�C87 and 2000�C03) and used the modelled relationships between (1) habitat and occupancy and (2) occupancy and density, to infer changes in abundance in all c.?30,000 wetlands within the study area. Results? Wetlands within the region declined by 8.6% between the two time periods, but by >?75% in regions of high human population Onalespib clinical trial density. Bird densities were also highest in these regions, which comprised wetlands subject to high levels of disturbance. The geographical coincidence of high densities and habitat loss and the selleck chemicals existence of positive associations between bird density and occurrence meant that birds declined by much more than the average rate of their habitat. Main conclusions? Targeting conservation efforts in areas with high drainage would protect a high proportion of the bird populations. Encouraging people to derive income from disturbance to which the birds are tolerant, rather than drainage, is likely to be an effective strategy. Because habitat characteristics are a key driver of abundance�Coccupancy relationships, we conclude that there is wide-scale scope to couple abundance�Coccupancy relationships with remote habitat mapping to efficiently inform conservation planning. ""64825" "Use of local-scale non-native plant species (NNS) distribution models has the potential to decrease survey effort and improve population prioritization for management. We developed and evaluated data collection methods and minimum sampling requirements to inform local-scale models of NNS distribution. We also evaluated overall model predictive performance for 16 species at two sites and determined how classes of variables contributed to model performance and Cisplatin suggest invasion drivers. Wyoming and Idaho, USA A simulation study was used to test the efficiency of different sampling methods to predict imposed species distributions. Empirical distribution models of species occurrence data from two environmentally disparate sites were cross-validated at increasing sample sizes, and the asymptotic maximum predictive performance and relative contribution of classes of variables were determined for 16 NNS. Transect sampling was the most efficient method for maximizing model performance after accounting for logistics. Minimum sample sizes to reach model maximum predictive performance were similar for the simulation (