Unilateral Clean Development Mechanism – An approach for a least developed country?: The case of Yemen

Decision parameters prevailing in the market lead to a slim expression of interest of foreign investors for Clean Development Mechanism (CDM) projects in a bi- or multilateral design in Yemen. The Designated National Authority Secretariat in Yemen experiences the preference of Annex I entities of merely buying Certified Emission Reductions rather than investing in projects. Yemen's ability, like many least developed countries, to carry out unilateral CDM projects is moderate. Domestic project developers perceive difficulties in procuring underlying finance as key barrier in materializing CDM project activities in a unilateral design. The country remains trapped in a “catch 22 situation”. International assistance through low interest loans and capacity building for domestic financial institutions tailored to CDM project activities may trigger the market. Aggravation can be assisted by amending the policies of Annex I countries, in consequence to allocate a substantial share of their procurement activities to Certified Emission Reductions from least developed countries. Acquisition programmes may give preference to projects from host countries not traditionally represented in the pool of attractive CDM destinations.     

The rich get richer: predicting participation in voluntary diversity training

This research examined whether trainee demographics and pre‐training competence predicted participation in voluntary diversity training. Results indicate that demographic variables had no impact on interest in training (Study One) or on actual training participation (Study Two). However, pre‐training competence levels had a positive effect on both outcomes. More competent trainees expressed more interest in additional training (Study One) and were more likely to attend a voluntary training session (Study Two). The authors suggest that trainees with low competence in the diversity domain are unaware of their low competence levels and therefore are not motivated to participate in training programs designed to increase diversity competence. Implications of these findings for organizations offering voluntary diversity training are discussed. Copyright © 2007 John Wiley & Sons, Ltd.     

Managing Radioactively Contaminated Land: Implications for Habitat Diversity

Radioactive contamination of agricultural land may necessitate long-term changes in food production systems, through application of selected countermeasures, in order to reduce the accumulation of radionuclides in food. We quantified the impact of selected countermeasures on habitat diversity, using the hypothetical case of two agricultural areas in Finland. The management scenarios studied were conversions from grassland to cereal production and from grassland and crop production to afforestation. The two study sites differed with respect to present agricultural production: one being predominantly cereal production and seminatural grasslands, while the other was dominated by intensive grass and dairy production. Some of the management scenarios are expected to affect landscape structures and habitat diversity. These potential changes were assessed using a spatial pattern analysis program in connection with geographic information systems. The studied landscape changes resulted in a more monotonous landscape structure compared to the present management, by increasing the mean habitat patch size, reducing the total habitat edge length and reducing the overall habitat diversity calculated by the Shannon diversity index. The degree of change was dependent on the present agricultural management practice in the case study sites. Where dairy production was predominant, the landscape structure changes were mostly due to conversion of intensive pastures and grasslands to cereal production. In the area dominated by cereal production and seminatural grasslands, the greatest predicted impacts resulted from afforestation of meadows and pastures. The studied management changes are predicted to reduce biodiversity at the species level as well as diminishing species-rich habitats. This study has predicted prominent side effects in habitat diversity resulting from application of management scenarios. These potential long-term impacts should be considered by decision-makers when planning future strategies in the event of radionuclide deposition.     

Longevity can buffer plant and animal populations against changing climatic variability

Both means and year-to-year variances of climate variables such as temperature and precipitation are predicted to change. However, the potential impact of changing climatic variability on the fate of populations has been largely unexamined. We analyzed multiyear demographic data for 36 plant and animal species with a broad range of life histories and types of environment to ask how sensitive their long-term stochastic population growth rates are likely to be to changes in the means and standard deviations of vital rates (survival, reproduction, growth) in response to changing climate. We quantified responsiveness using elasticities of the long-term population growth rate predicted by stochastic projection matrix models. Short-lived species (insects and annual plants and algae) are predicted to be more strongly (and negatively) affected by increasing vital rate variability relative to longer-lived species (perennial plants, birds, ungulates). Taxonomic affiliation has little power to explain sensitivity to increasing variability once longevity has been taken into account. Our results highlight the potential vulnerability of short-lived species to an increasingly variable climate, but also suggest that problems associated with short-lived undesirable species (agricultural pests, disease vectors, invasive weedy plants) may be exacerbated in regions where climate variability decreases.     

A state-dependent model for the optimal management of an invasive metapopulation.

Management of invasive species involves choosing between different management strategy options, but often the best strategy for a particular scenario is not obvious. We illustrate the use of optimization methods to determine the most efficient management strategy using one of the most devastating invasive forest pests in North America, the gypsy moth (Lymantria dispar), as a case study. The optimization approach involves the application of stochastic dynamic programming (SDP) to a metapopulation framework with different infestation patch sizes, with the goal of minimizing infestation spread. We use a novel "moving window" approach as a way to address a spatially explicit problem without being explicitly spatial. We examine results for two cases in order to develop general rules of thumb for management. We explore a model with limited parameter information and then assess how strategies change with specific parameterization for the gypsy moth. The model results in a complex but stable, state-dependent management strategy for a multiyear management program that is robust even under situations of uncertainty. The general rule of thumb for the basic model consists of three strategies: eradicating medium-density infestations, reducing large-density infestations, and reducing the colonization rate from the main infestation, depending on the state of the system. With specific gypsy moth parameterization, reducing colonization decreases in importance relative to the other two strategies. The application of this model to gypsy moth management emphasizes the importance of managing based on the state of the system, and if applied to a specific geographic area, has the potential to substantially improve the efficiency and cost-effectiveness of current gypsy moth eradication programs, helping to slow the spread of this pest. Additionally, the approach used for this particular invasive species can be extended to the optimization of management programs for the spread of other invasive and problem species exhibiting metapopulation dynamics.     

Consequences of immune system aging in nature: a study of immunosenescence costs in free-living Tree Swallows

Immunosenescence, the aging of the immune system, is well documented in humans and laboratory models and is known to increase infection risk, morbidity, and mortality among the old. Immunosenescence patterns have recently been unveiled in various free-living populations, but their consequences in the wild have not been explored. We investigated the consequences of immunosenescence in free-living Tree Swallows Tachycineta bicolor through a field experiment simulating a bacterial infection (challenge with lipopolysaccharide, LPS) in females of different ages during the nestling rearing period. We assessed behavioral and physiological responses of females, as well as growth and quality of their offspring, to determine the costs associated with the simulated infection. Results of the experiment differed between the two years of study. In the first year, old females challenged with LPS lost more body mass and reduced their nest visitation rates more, and their offspring tended to grow slower compared to similarly challenged younger females. In contrast, in the second year, old females did not appear to suffer larger costs than younger ones. Interestingly, immunosenescence was only detected during the first year of the study, suggesting that it is the dysregulated immune function characteristic of immunosenescent individuals rather than age per se that can lead to higher costs of immune defense in old individuals. These results provide the first evidence of costs of immunosenescence in free-living animals and support the hypothesis that old, immunosenescent individuals pay higher costs than younger ones when faced with a challenge to their immune system. Our results also suggest that these costs are mediated by an exaggerated sickness behavior, as seen in laboratory models, and can be modulated by ecological factors such as weather conditions and food availability.     

Information Disclosure Requirements and the Effect of Soil Contamination on Property Values

This paper extends previous research assessing the effects of environmental pollution on property values, and the specific issue of information disclosure requirements on future real estate transactions. Given that various information disclosure requirements were imposed in most US states during the 1990s, it is important to begin to understand their anticipated effects. Using a case of soil contamination in Corpus Christi, TX, USA, this paper applies the contingent valuation method using telephone survey data to investigate the effect of a split-sample information disclosure treatment concerning soil contamination on the willingness to pay of potential home buyers. The authors apply a mixture modelling approach to better explain the effect of the information disclosure requirement.