Methodological considerations in reserve system selection: a case study of Malagasy Lemurs.

Although data quality and weighting decisions impact the outputs of reserve selection algorithms, these factors have not been closely studied. We examine these methodological issues in the use of reserve selection algorithms by comparing: (1) quality of input data and (2) use of different weighting methods for prioritizing among species. In 2003, the government of Madagascar, a global biodiversity hotspot, committed to tripling the size of its protected area network to protect 10% of the country’s total land area. We apply the Zonation reserve selection algorithm to distribution data for 52 lemur species to identify priority areas for the expansion of Madagascar’s reserve network. We assess the similarity of the areas selected, as well as the proportions of lemur ranges protected in the resulting areas when different forms of input data were used: extent of occurrence versus refined extent of occurrence. Low overlap between the areas selected suggests that refined extent of occurrence data are highly desirable, and to best protect lemur species, we recommend refining extent of occurrence ranges using habitat and altitude limitations. Reserve areas were also selected for protection based on three different species weighting schemes, resulting in marked variation in proportional representation of species among the IUCN Red List of Threatened Species extinction risk categories. This result demonstrates that assignment of species weights influences whether a reserve network prioritizes maximizing overall species protection or maximizing protection of the most threatened species.

Inherited defects in pedigree dogs. Part 2: Disorders that are not related to breed standards

Recent debate concerning health problems in pedigree animals has highlighted gaps in current knowledge of the prevalence, severity and welfare implications of deleterious inherited traits within the pedigree dog population. In this second part of a two-part review, inherited disorders in the top 50 UK Kennel Club registered breeds were researched using systematic searches of existing databases. A set of inclusion and exclusion criteria, including an evidence strength scale (SEHB), were applied to search results. A total of 312 non-conformation linked inherited disorders was identified, with German shepherd dogs and Golden retrievers associated with the greatest number of disorders. The most commonly reported mode of inheritance was autosomal recessive (71%; 57 breed-disorder combinations), and the most common primarily affected body system was the nervous sensory system. To provide a true assessment of the scale of inherited disorders in the pedigree dogs studied more effort is required to collect accurate prevalence data.

Inherited defects in pedigree dogs. Part 1: Disorders related to breed standards

The United Kingdom pedigree-dog industry has faced criticism because certain aspects of dog conformation Stipulated in the UK Kennel Club breed standards have a detrimental impact oil dog welfare. A review of conformation-related disorders was carried out in the top 50 UK Kennel Club registered breeds using systematic searches of existing information A novel index to score severity of disorders along a single-scale was also developed and used to conduct statistical analyses to determine the factors affecting reported breed predisposition to defects According to the literature searched, each of the top 50 breeds was found to have at least one aspect of its conformation predisposing it to a disorder. and 84 disorders were either directly or indirectly associated with conformation. The Miniature poodle, Bulldog. Pug and Basset hound had most associations with conformation-related disorders. Further research oil prevalence and severity is required to assess the impact of different disorders oil the welfare of affected breeds (C) 2009 Elsevier Ltd. All rights reserved

An Affordance Based Approach to Decision Making in Sport: Discussing a Novel Methodological Framework

Decision making is a fundamental clement of any sport, particularly open, fast, dynamic team sports such as football, basketball and rugby. At the elite level, athletes appear to consistently make good decisions in situations that are highly temporally constrained. To further understand how this is done has been the aim of researchers within the perception-action field for several decades. The purpose of this article is to present novel contributions, both theoretical and methodological, that are pushing the boundaries of this area of research. The theoretical framework (Ecological psychology) within which the work is posited will be described, followed by a description of Virtual Reality (VR) technology and how it relates to the theoretical aims. Finally, an applied example will be summarised in order to demonstrate how the theoretical approach and the methodological approach come together in practice.