A New Framework for the Assessment of Animal Welfare: Integrating Existing Knowledge from a Practical Ethics Perspective

When making an assessment of animal welfare, it is important to take environmental (housing) or animal-based parameters into account. An alternative approach is to focus on the behavior and appearance of the animal, without making actual measurements or quantifying this. None of these tell the whole story. In this paper, we suggest that it is possible to find common ground between these (seemingly) diametrically opposed positions and argue that this may be the way to deal with the complexity of animal welfare. The model will have to be acceptable for the different parties that will be affected by it and real benefits for the animal should result from it. This will be the basis of a practical ethical approach. All this can be condensed into a model that essentially is made up out of three basic elements: the classical welfare analysis with an existing welfare assessment tool, an assessment of the stockholder, and an implementation of the Free Choice Profiling technique. This new framework does not pretend to be a different or better animal welfare matrix; it is intended to integrate existing knowledge and to provide a practical tool to improve animal welfare. It identifies whether there are welfare problems on a farm, if present whether these problems are caused by the housing system or the stockholder, and what can be done to improve the situation.     

Local genetic structure and relatedness in a solitary mammal, Neotoma fuscipes

We used DNA microsatellites to investigate temporal and spatial patterns of local genetic differentiation and relatedness in a solitary mammal, the dusky-footed woodrat (Neotoma fuscipes). Patterns of genetic variation were measured relative to spatial clusters, or neighborhoods, of woodrats. We detected significant genetic differentiation among woodrat neighborhoods in two populations spanning multiple habitat types and densities. Estimates of θ _ST among neighborhoods ranged 0.034–0.075 and were comparable to levels reported in social mammals. Genetic differentiation at such a local scale is noteworthy because it occurred in the absence of any physical barriers to gene flow, suggesting that the patterns observed are linked to the nonrandom patterns of mating and dispersal that characterize woodrat social structure. Genetic differentiation and relatedness among neighborhoods were even higher when only resident females were analyzed. These results are consistent with a pattern of female philopatry and male-biased dispersal in woodrats. Geographic distance and relatedness were inversely correlated in adult females at intermediate densities, but not at low densities. Nonetheless, matrilineal genetic structure was apparent even at low woodrat densities based on estimates of θ _ST among neighborhoods of resident females that were significantly greater than zero and consistently greater than estimates including all individuals. In summary, this study demonstrates a matrilineal genetic structure in dusky-footed woodrats. In addition, our results support the idea that intermediate densities may be better at facilitating the formation of spatial kin clusters than either extreme. An erratum to this article can be found at     

Assessing Landscape Functions with Broad-Scale Environmental Data: Insights Gained from a Prototype Development for Europe

We examine the advantages and disadvantages of a methodological framework designed to analyze the poorly understood relationships between the ecosystem properties of large portions of land, and their capacities (stocks) to provide goods and services (flows). These capacities (stocks) are referred to as landscape functions. The core of our assessment is a set of expert- and literature-driven binary links, expressing whether specific land uses or other environmental properties have a supportive or neutral role for given landscape functions. The binary links were applied to the environmental properties of 581 administrative units of Europe with widely differing environmental conditions and this resulted in a spatially explicit landscape function assessment. To check under what circumstances the binary links are able to replace complex interrelations, we compared the landscape function maps with independently generated continent-wide assessments (maps of ecosystem services or environmental parameters/indicators). This rigorous testing revealed that for 9 out of 15 functions the straightforward binary links work satisfactorily and generate plausible geographical patterns. This conclusion holds primarily for production functions. The sensitivity of the nine landscape functions to changes in land use was assessed with four land use scenarios (IPCC SRES). It was found that most European regions maintain their capacity to provide the selected services under any of the four scenarios, although in some cases at other locations within the region. At the proposed continental scale, the selected input parameters are thus valid proxies which can be used to assess the mid-term potential of landscapes to provide goods and services.     

Financial adaptation to disaster risk in the European Union

Increasing losses from weather related extreme events coupled with limited coping capacity suggest a need for strong adaptation commitments, of which public sector responses to adjustments to actual and expected climate stimuli are key. The European Commission has started to address this need in the emerging European Union (EU) climate adaptation strategy; yet, a specific rationale for adaptation interventions has not clearly been identified, and the economic case for adaptation to extremes remains vague. Basing the diagnosis on economic welfare theory and an empirical analysis of the current EU and member states’ roles in managing disaster risk, we discuss how and where the public sector may intervene for managing climate variability and change. We restrict our analysis to financial disaster management, a domain of adaptation intervention, which is of key concern for the EU adaptation strategy. We analyse three areas of public sector interventions, supporting national insurance systems, providing compensation to the affected post event as well as intergovernmental loss sharing through the EU solidarity fund, according to the three government functions of allocation, distribution, and stabilization suggested by welfare theory, and suggest room for improvement.