Cavity nesting birds along an urban-wildland gradient: is human facilitation structuring the bird community?

Urbanization brings dramatic and sudden changes to ecological conditions affecting natural communities. Cavity-nesting birds, both primary and secondary (hereafter PCN and SCN, respectively), may be limited in this novel environment because of reduced abundance of nesting sites (e.g. snags and cavities) and competition for cavities with non-native species. But humans can also directly and indirectly provide nest sites (e.g., nest boxes, crevices on houses), especially for SCN species, potentially partially compensating for negative effects. We investigated whether and how PCNs and humans facilitated the cavity-nesting bird community along a gradient of urbanization. To do so, we estimated the abundance of cavity-nesting species between 1998 and 2010 at 135, 1-km² sites that differed in the degree of urbanization (0–100 % forest cover). Also, we found 367 nests on a subset of 31 sites. PCNs (n = 67 nests) nested mostly on snags (98.5 %), while native SCNs (n = 141) used both natural (71.63 %) and anthropogenic (28.37 %) cavities. Non-native SCNs (n = 159 nests) used mostly anthropogenic cavities (98.11 %). PCN abundance facilitated native SCN abundance on sites with more than 12 % forest cover at 1-km² scale, but not at less forested sites. There, native SCNs nested primarily (59 %) in anthropogenic cavities. Human facilitation allowed native SCNs to successfully use and reproduce where snags were scarce, changing the composition and structure of the cavity-nesting bird community within the most urbanized sites. Flexible nest site selection and human facilitation provide new opportunities for native cavity-nesting birds in a rapidly changing world.     

Unmasking the crowd: participants’ motivation factors,expectations, and profile in a crowdsourced law reform

This article examines the demographic characteristics, motivations, and expectations of participants in a crowdsourced off-road traffic law reform in Finland. We found that the participants were mainly educated, full-time working professional males with a strong interest in off-road traffic. Though a minority, the women participating in the process produced more ideas than the men. The crowd was motivated by a mix of intrinsic and extrinsic factors. Intrinsic motivations included fulfilling civic duty, affecting the law for sociotropic reasons, to deliberate with and learn from peers. Extrinsic motivations included changing the law for financial gain or other benefits. Participation in crowdsourced policy-making was an act of grassroots advocacy, whether to pursue one’s own interest or more altruistic goals, such as protecting nature. The motivations driving the participation were in part similar to those observed in traditional democratic processes, such as elections as well as other online collaborations such as crowdsourced journalism and citizen science. The crowds’ behavior was, however, paradoxical. They participated despite the fact that they did not expect that their contributions would affect the law.     

DEA-Like Efficiency Ranking of Regional Health Systems in Spain

The last decades have witnessed an increasing international concern in assessing how efficiently health care resources are used in producing health. At a country level, comparing the efficiency of regional health systems and ranking the regions accordingly promotes transparency policies and represents an important incentive for the design and implementation of specific programs aimed at improving the quality of health care services within the country. The use of data envelopment analysis (DEA) as a tool for efficiency analysis in the health sector is well-established, but its use with a ranking purpose is discouraged due to lack of discrimination and comparability issues. Using data from the competent health authority in Spain, the purpose of this study is to assess the efficiency of the regional health systems in Spain and identify those regions that are using their health care inputs more efficiently than others, given the observed level of health outcomes. To this aim, a DEA-based model that operates under a common weights basis is used in order to improve discrimination and establish a common scale for a proper comparison of the regional health systems in Spain that can be subsequently ranked by their efficiency score.     

The role of intercultural,scientific and technological openness on innovation in European regions

This paper analyses the importance of openness for innovation in European regions. Openness is understood from a double angle: intercultural and scientific & technological. Our hypothesis is that each type of openness brings different kinds of knowledge into the regions and results on a different innovation output. S&T openness brings analytical forms of knowledge whilst intercultural openness brings tacit ones. Our results confirm this relationship as S&T openness shows a significant impact on patent activity, but not when a broader innovation indicator is used. Intercultural openness is highly significant when measuring innovation by a broader index and much less when measured by patents.     

What happens after compulsory education? Problems of continuity and possible policies in the case of Spain

The lack of opportunities to enter post-compulsory education in Spain and other countries in southern Europe is a serious problem from the point of view of the requirements of the productive system as well as the social inequality that it creates. This article analyses the effect of a range of variables on that lack of opportunity and various public policy measures are proposed that are directed towards reinforcing the continuity of young people in the education system. The analysis is carried out through the proposal and estimation of a multinomial logistic regression model that permits the identification of factors associated with the process of passing from compulsory education to the possibilities that are open when this finishes (with regard to the education system and the labor market). The model is applied to a sample of individuals of 16 and 17 years of age from the European Community Household Panel in the year 2000 wave. The analysis allows the identification of two groups of variables that affect the probability of following the different paths that are open at the end of compulsory education. On the one hand, there is social and cultural background (reflected in variables such as the social class and education of the parents) and on the other, there is the region of residence, the effect of which derives essentially from the differences that exist between the labor markets. The article concludes by putting forward a set of mainly educational public policies that have the object of increasing access to post-compulsory education. These policies are mostly equity oriented.     

Nonparametric estimation of a regression function from backward recurrence times in a cross-sectional sampling

This study considers the nonparametric estimation of a regression function when the response variable is the waiting time between two consecutive events of a stationary renewal process, and where this variable is not completely observed. In these circumstances, our data are the recurrence times from the occurrence of the last event up to a pre-established time, along with the corresponding values of a certain set of covariates. Estimation of the error density function and some of its characteristics are also considered. For the proposed estimators, we first analyze their asymptotic behavior and, thereafter, carry out a simulation study to highlight their behavior in finite samples. Finally, we apply this methodology to an illustrative example with biomedical data.     

Undercounting Urban Residents in Bolivia: A Small-Area Study of Census-Driven Migration

Employing a small-area study approach in a single urban area in Bolivia, a country with high rates of internal circular migration, we describe how, in the months before the November 2012 census, local leaders and neighbors, concerned with maximizing the per capita resources their residential districts and rural communities could claim from central government, threatened to employ sanctions against absent individuals whom they judged to be regular residents. We use three types of data—a two-wave household survey, data from vehicle toll booths, and photographic logs of a minibus station—to show how these threats generated substantial movement out of the urban area, leading to an urban undercount of roughly 20 % of prime-age adults and 50 % of those aged at least 50. More generally, we argue that these data highlight how local leaders’ increasingly sophisticated attempts to shape data extend beyond the well-known examples from autocratic states. This is driven by a combination of intensive urban–rural connections, leaders’ greater democratic accountability to local voters, increasing fiscal transparency at the national level, increasing fiscal accountability of governments to transnational neoliberal institutions pushing “transparency” and “evidence-based” policy, and more overt talk about “resource sharing” that is rooted in an evidence-based planning paradigm. Since these structural conditions exist in many other developing countries, the possibility of equivalent urban undercounts in forthcoming censuses needs to be anticipated and avoided.