Census of breeding birds and population trends of the Dupont’s lark Chersophilus duponti in eastern Spain

We present the results of a breeding census of Dupont’s Lark carried out in the Autonomous Community of Valencia in 2011 using the mapping method and an analysis of the recent trend for this population. The population was estimated at 44-47 males, located in five habitat patches of the Rincón de Ademuz, in zones where the species had been detected previously. Density in these patches fits within values expected according to the relation between patch size and density found in the populations of the nearby provinces. Comparison to previous studies reveals that population of Valencia has suffered an annual decline rate of around 10% on average, thus the implementation of a conservation plan is required to ensure the survival of the species in the study area.

Delineating zones to increase geographical detail in individual response data files: An application to the Spanish 2011 Census of population

Due to confidentiality considerations, the microdata available from the 2011 Spanish Census have been codified at a provincial (NUTS 3) level except when the municipal (LAU 2) population exceeds 20,000 inhabitants (a requirement that is met by less than 5% of all municipalities). For the remainder of the municipalities within a given province, information is only provided for their classification in wide population intervals. These limitations, hampering territorially-focused socio-economic analyses, and more specifically, those related to the labour market, are observed in many other countries. This article proposes and demonstrates an automatic procedure aimed at delineating a set of areas that meet such population requirements and that may be used to re-codify the geographic reference in these cases, thereby increasing the territorial detail at which individual information is available. The method aggregates municipalities into clusters based on the optimisation of a relevant objective function subject to a number of statistical constraints, and is implemented using evolutionary computation techniques. Clusters are defined to fit outer boundaries at the level of labour market areas.