When planning optimal conservation strategies for wild and cultivated types of a plant species, a number of influencing biological
and environmental factors should be considered from the outset. In the present study Brassica rapa was used to illustrate this: to develop Scandinavian conservation strategies for wild and cultivated B. rapa, DNA-marker analysis was performed on 15 cultivated and 17 wild accessions of B. rapa plus 8 accessions of the cross compatible B. napus. The B. rapa cultivars were bred in Sweden and Finland in 1944–1997 and the wild B. rapa material was collected from Denmark, Sweden and United Kingdom. The B. napus accessions were bred within the last 20 years in the Scandinavian countries. Results were based on scoring of 131 polymorphic
ISSR markers in the total plant material. A Bayesian Markov chain Monte Carlo (MCMC) approach implemented in NewHybrids demonstrated
a clear distinction of B. rapa and B. napus individuals except for three individuals that seemed to be backcrosses. The backcrossed hybrids descended from two Swedish
populations, one wild and one escaped. The overall pattern of genetic variation and structure in B. rapa showed that cultivated and wild B. rapa accessions formed two almost separated clusters. Geographical origin and breeding history of cultivars were reflected in
these genetic relationships. In addition, wild populations from Denmark and Sweden seemed to be closely related, except for
a Swedish population, which seemingly was an escaped cultivar. The study point to that many processes, e.g. spontaneous introgression,
naturalisation, breeding and agricultural practise affected the genetic structure of wild and cultivated B. rapa populations. 相似文献
Replacement cost refers to the loss incurred if the ideal set of conservation areas cannot be protected due to compulsory inclusion or exclusion of some area candidates. This cost can be defined either in terms of loss of conservation value or in terms of extra acquisition cost, and it has a clear mathematical definition as a difference between the value of the unconstrained optimal solution and a constrained suboptimal solution. In this work we for the first time show how replacement cost can be calculated in the context of sequential reserve selection, where a reserve network is developed over a longer time period and ongoing habitat loss influences retention and availability of sites. In case of site exclusion, a question that can be asked is, “if a site belonging to the ideal (optimal) solution cannot be obtained, what expected loss in reserve network value does this entail by the end of the planning period given that the rest of the solution is re-organized in the most advantageous manner?” Heuristically, the proposed method achieves the ambit of combining irreplaceability and vulnerability into one score of site importance. We applied replacement cost analysis to conservation prioritization for wood-inhabiting fungi in Norway, identifying factors that influence replacement cost and urgency of site acquisition. Among other things we find that the reliability of loss rate information is important, because the optimal site acquisition order may be strongly influenced by underestimated loss rates. 相似文献
Target-based spatial prioritization is the default approach in conservation resource allocation. Here, we clarify a poorly known feature of target-based spatial prioritization that may lead to an unbalanced allocation of resources between species or other biodiversity features. Highest per-species resources will be allocated to species occurring in costly and otherwise species-poor locations, whereas smallest per-species resources will be allocated to species that occur in species-rich locations at low-cost areas. Uncertainty in information about processes determining distributions of biodiversity features may lead to uncertainty in target setting. This can be a problem if unnecessarily high targets emerge to consume excessive resources thus detracting from other conservation action. Difficulties might be encountered in particular when there are many features, targets are given simultaneously to multiple different types of biodiversity features, or components of features, or when there are interactions or correlations between features. Consequently, we recommend that the costs of targets for individual features could be evaluated to screen for such targets that consume a disproportionate fraction of available resources. Costs of targets can be evaluated by a variant of the replacement cost technique. We also find that commonly used reserve selection methods, minimum set coverage, maximum coverage, and utility maximization differ significantly in how they treat targets and their costs. 相似文献
Site selection, reserve selection, and spatial conservation prioritization are terms that have been used for various algorithms and methods for the spatial allocation of conservation resources. Many of these methods start from the setting of targets or weights for different conservation features. Almost always there is only one set of targets or weights, thus implicitly assuming that priorities stay the same through the entire planning region. However, priorities for biodiversity governance could vary between regions. For example, priorities inside countries could be different from global priorities. Inside a country, different stakeholders could hold different priorities. Thus, priorities could vary between sub-regions while ecological processes, such as connectivity, cross borders without regard to administrative boundaries. Here we describe how it is possible to account for conservation priorities that vary between administrative sub-regions in conservation prioritization. We illustrate how assumptions about selection methods and feature weights can significantly influence the outcome mapping of conservation priority. We also show how placing high emphasis on local considerations reduces the cost-efficiency of the global conservation outcome. Analyses proposed here will be made publicly available in software (Zonation) capable for large-scale high-resolution conservation prioritization. 相似文献
Rotavirus A is one of the leading etiological agents of porcine gastroenteritis, a condition which results to stunted growth among piglets. Moreover, there is increasing evidence for zoonosis of rotavirus A (RVA), which is also the principal cause of diarrhea in children. In the absence of rigorous animal health monitoring in Philippine backyard farms, there is therefore a strong need for RVA surveillance. In this study, 30 randomly selected backyard farms were subjected to surveillance for RVA for 12 months. Results show that RVA detection at a monthly farm-level rate ranged from 0 to 52%, with an overall average of 23%. RVA had higher detection rates in adult pigs compared to young piglets and was most prevalent in non-diarrheic stools, indicating asymptomatic circulation of the virus. Spatiotemporal analysis demonstrated that the viral circulation exhibits a seasonal pattern that peaks and forms geographical clusters during the cooler months of the year, suggesting farm-to-farm transmission. Risk factor analysis identified specific farm conditions that increase the likelihood of RVA circulation: presence of gilts, larger herd size, presence of other animals, and abiotic factors such as low relative humidity and low altitude. The same analysis also revealed three major management practices that can help reduce the pressure of infection in these farms: sanitation and waste disposal, animal grouping, and diet. This new perspective on porcine RVA circulation will benefit the underprivileged backyard farmers and help empower them to protect both animal and public health.