Search

Public surveys can be valuable tools to collect information on wildlife distribution. Our objective was to improve the knowledge on the distribution and expanding areas of the Egyptian mongoose (Herpestes ichneumon) in central Spain by using an on‐line questionnaire to hunters. We assessed the reliability of information that hunters provided by comparing it with reports from wildlife professionals. Our results show a high overall congruence but significantly different information provided by hunters and professionals on the distribution of the Egyptian mongoose, suggesting that both sources provide unique data for the management of non‐game species. For example, hunters reported greater mongoose presence than professionals in areas to the east of Toledo and Ciudad Real provinces, for the whole distribution and core area of the species, suggesting that hunters could help to detect other areas where the species exists. Overall, our findings stress the importance of engaging hunters in wildlife conservation, as they can share valuable information on wildlife species, including those that are not hunted. [ABSTRACT FROM AUTHOR]

Copyright of Conservation Biology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aim Tree plantations can have beneficial or detrimental effects on regional biodiversity. Here, we focus on how the contribution of pine plantations to the maintenance of regional bird diversity varies geographically compared to natural pine forests, after controlling for the effects of other factors that are known to influence the regional richness of pine forest dwelling birds. Location Spain. Methods We combined large-scale datasets from diverse sources (i.e. the Spanish Breeding Bird Atlas, the Third Spanish Forest Inventory, land use and forest distribution maps) to analyse the geographical variation of the contribution of pine plantations in relation to their natural counterparts to the maintenance of the regional species richness of pine forest dwelling birds. To do so, we also controlled for the main environmental, land use and forest structure factors using GLM models. Results Differences in bird diversity among planted and natural pine forests varied along latitudinal and longitudinal gradients after accounting for altitude, climate, land uses and vegetation structure of pine forests. Planted pine forests in the north-west of the Iberian Peninsula have the lowest bird species richness as compared to natural pine forests, and that difference decreased following a north-west-south-east gradient. Differences also varied among pine species; they were larger for the species with a higher productive vocation ( Pinus sylvestris, Pinus nigra and Pinus pinaster) and not significantly different from zero for species with low commercial interest and mainly used for the restoration of tree cover (i.e. Pinus halepensis). Main conclusions The potential of plantations or natural pine forests to enhance biodiversity is highly dependent on both the pine species and the geographical location. On this basis, we identify the geographical areas (and pine species) where a major naturalization effort of plantations would be needed to increase bird diversity. [ABSTRACT FROM AUTHOR]

This article presents an econometric approach to modeling uncertainty, unwillingness to pay, and protest behavior in contingent valuation studies. For that purpose, a mixture model with sample selection is developed for a multiple-bounded uncertainty elicitation format. The proposed theoretical framework is applied to evaluate the social welfare impact of implementing a sustainable rural development program. Results show that a 'naive' analytical approach that excludes protesters from the analysis would result in significantly higher willingness to pay estimates for those individuals who favor the implementation of the program and agree to reveal their true reservation prices. [ABSTRACT FROM AUTHOR]

Understanding the complex process of climate change implies the knowledge of all possible determinants of CO emissions. This paper studies the influence of several institutional determinants on CO emissions, clarifying which variables are relevant to explain this influence. For this aim, Genetic Programming and Artificial Neural Networks are used to find an optimal functional relationship between the CO emissions and a set of historical, economic, geographical, religious, and social variables, which are considered as a good approximation to the institutional quality of a country. Besides this, the paper compares the results using these computational methods with that employing a more traditional parametric perspective: ordinary least squares regression (OLS). Following the empirical results of the cross-country application, this paper generates new evidence on the binomial institutions and CO emissions. Specifically, all methods conclude a significant influence of ethnolinguistic fractionalization (ETHF) on CO emissions. Copyright © 2009 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]