European energy poverty metrics:Scales, prospects and limits

ENGAGER 2017–2021, CA16232Energy poverty, a condition whereby people cannot secure adequate home energy services, is gaining prominence in public discourse and on political and policy agendas. As its measurement is operationalised, metrical developments are being socially shaped. A European Union mandate for biennial reporting on energy poverty presents an opportunity to institutionalise new metrics and thus privilege certain measurements as standards. While combining indicators at multiple scales is desirable to measure multi-dimensional aspects, it entails challenges such as database availability, coverage and limited disaggregated resolution. This article converges scholarship on metrics e which problematises the act of measurement e and on energy poverty e which apprehends socio-political and techno-economic particulars. Scholarship on metrics suggests that any basket of indicators risks silencing significant but hard to measure aspects, or unwarrantedly privileging others. State-of-the-art energy poverty scholarship calls for indicators that represent contextualised energy use issues, including energy access and quality, expenditure in relation to income, built environment related aspects and thermal comfort levels, while retaining simplicity and comparability for policy traction. We frame energy poverty metrology as the socially shaped measurement of a varied, multi-dimensional phenomenon within historically bureaucratic and publicly distant energy sectors, and assess the risks and opportunities that must be negotiated. To generate actionable knowledge, we propose an analytical framework with five dimensions of energy poverty metrology, and illustrate it using multi-scalar cases from three European countries. Dimensions include historical trajectories, data flattening, contextualised identification, new representation and policy uptake. We argue that the measurement of energy poverty must be informed by the politics of data and scale in order to institutionalise emerging metrics, while safeguarding against their co-optation for purposes other than the deep and rapid alleviation of energy poverty. This ‘dimensioned’ understanding of metrology can provide leverage to push for decisive action to address the structural underpinnings of domestic energy deprivation.publishersversionpublishe

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans – anteaters, sloths, and armadillos – have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with 24 domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, ten anteaters, and six sloths. Our dataset includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data-paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the south of the USA, Mexico, and Caribbean countries at the northern portion of the Neotropics, to its austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n=5,941), and Cyclopes sp. has the fewest (n=240). The armadillo species with the most data is Dasypus novemcinctus (n=11,588), and the least recorded for Calyptophractus retusus (n=33). With regards to sloth species, Bradypus variegatus has the most records (n=962), and Bradypus pygmaeus has the fewest (n=12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other datasets of Neotropical Series which will become available very soon (i.e. Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans dataset

Lygodactylus klugei NADH dehydrogenase 4

Complete ND4 alignment of Lygodactylus klugei before bGMYC analysis. Information on the lineage used in this study can be found in the Excel file bellow

Phyllopezus pollicaris Cytochrome-b

Complete Cyb alignment of Phyllopezus pollicaris before bGMYC analysis. Data first published by Werneck et al 2012, Evolution, 66, 3014–3034. Information on the lineages used in this study can be found in the Excel file

Data from: Estimating synchronous demographic changes across populations using hABC and its application for a herpetological community from northeastern Brazil

Many studies propose that Quaternary climatic cycles contracted and /or expanded the ranges of species and biomes. Strong expansion-contraction dynamics of biomes presume concerted demographic changes of associated fauna. The analysis of temporal concordance of demographic changes can be used to test the influence of Quaternary climate on diversification processes. Hierarchical approximate Bayesian computation (hABC) is a powerful and flexible approach that models genetic data from multiple species, and can be used to estimate the temporal concordance of demographic processes. Using available single-locus data we can now perform large-scale analyses, both in terms of number of species and geographic scope. Here we first compared the power of four alternative hABC models for a collection of single-locus data. We found that the model incorporating an a priori hypothesis about the timing of simultaneous demographic change had the best performance. Secondly, we applied the hABC models to a dataset of 7 squamate and 4 amphibian species occurring in the Seasonally Dry Tropical Forests (Caatinga) in Northeastern Brazil, which, according to paleoclimatic evidence, experienced an increase in aridity during the Pleistocene. If this increase was important for the diversification of associated xeric-adapted species, simultaneous population expansions should be evident at the community level. We found a strong signal of synchronous population expansion in the Late Pleistocene, supporting the expansion of the Caatinga during this time. This expansion likely enhanced the formation of communities adapted to high aridity and seasonality and caused regional extirpation of taxa adapted to wet forest

Micrablepharus maximiliani concatenated mtDNA

Complete concatenated cyb+ND4 alignment of Micrablepharus maximiliani before bGMYC analysis. Information on the lineage used in this study can be found in the Excel file bellow

Phyllomedusa nordestina Cytochrome-b

Complete Cyb alignment of Phyllomedusa nordestina before bGMYC analysis. Information on the lineage used in this study can be found in the Excel file bellow

Rhinella jimi Ribossomal 16S DNA

Cyb alignment of Rhinella jimi before bGMYC analysis. Information on the lineage used in this study can be found in the Excel file