Jose Antonio

The Eurasian otter (Lutra lutra) is a widespread semiaquatic carnivorous mammal in Eurasia. The nominate subspecies (L. l. lutra) occupies vast areas between Western Europe and the Russian Far East, but its phylogeography and genetic diversity are still unclear across Northern Eurasia. Another subspecies, L. l. meridionalis, located in the Caucasus mountains, is morphologically almost identical to L. l. lutra but needs genetic revision. We compared the genetic diversity of Eurasian otters from Russia and Armenia using a mtDNA fragment (820 bp) and 20 autosomal microsatellite loci (N = 117). A total of 32 haplotypes were observed with 17 novel haplotypes. The MtDNA median-joining network was mostly star-shaped with a branch of haplotypes from Far Eastern Russian otters. Both mtDNA analysis and Bayesian clustering of microsatellite data indicated that Far Eastern otters are more genetically differentiated than European and Siberian otters (Φst = 0.565 and 0.467; Rst = 0.306 and 0.256), as well as Caucasian otters (L. l. meridionalis) from Russia and Armenia (Φst = 0.515, Rst = 0.253). Haplotype and nucleotide diversities of Far Eastern otters are also the highest between sample groups (H = 0.882, π = 0.003) and, of Caucasian otters, the lowest (H = 0.464, π = 0.001). Our results suggest Caucasian otters are more similar to the otters from European Russia than to the other groups (but with lower genetic diversity) and lack the genetic variability typical to different subspecies. On the contrary, otters from the Russian Far East are more genetically differentiated, have higher genetic diversity than otters from Europe, and likely belong to another genetic lineage.

IBSAL, IBMCC, CSIC, Centro de Investigación del Cáncer, University of Salamanca, 37007 Salamanca, Spain

The deterioration of historical heritage has underscored the need for precise documentation and accurate measurements in restoration and conservation efforts. Detailed documentation not only enhances understanding but also provides architects and engineers with the necessary tools to optimize these processes. However, limited funding has prompted researchers to develop low-cost geomatic tools and methodologies, such as multi-image photogrammetry, to generate 3D point clouds. Technologies like miniaturized Light Detection and Ranging (LiDAR) sensors, integrated into Apple devices such as the iPhone and iPad since 2020, have made these tools more accessible. These sensors deliver direct time-of-flight measurements, enabling accurate 3D data acquisition of historical structures. Despite the critical role that scan parameters—such as scanning speed, sensor angle, lighting, or the distance from the scanned object—may play, there is a lack of detailed studies examining their effects in the literature. To address this gap, this paper employs Taguchi's orthogonal arrays to define the optimal scan parameters for the LiDAR sensor on the 2022 iPad Pro. The optimized parameters are then used to scan a historical building.

The aim of this paper is to provide evidence of the species-specific export of adult fishes for some species or group of species from six well-enforced Mediterranean marine protected areas (MPAs): Cerbère-Banyuls and Carry-le-Rouet in France and Medes, Cabrera, Tabarca, and Cabo de Palos in Spain. We estimated the distance at which spillover of those individual or groups of species occur by directly assessing the existence of gradients of biomass across the MPA boundaries by means of underwater visual census, asuming that such gradients will be specifics in terms of structure (sharpness, slope, and intercept) for every species and group of species. A significant “reserve effect” was observed for biomass of some of the individual and grouped species in all MPAs. Decreasing gradients of biomass differ among taxons and are not related with the insular nature of the location. Different gradients of biomass resulted from the interaction between species characteristics and some ecological and structural drivers, and we did not find regular patterns for each taxa among MPAs, even though the same species can exhibit different gradient structure and/or spillover distances in the same MPA depending on the orientation. Habitat patch distribution and continuity seems the most important environmental factor explaining the existence and pattern of gradients at species level, interacting with fish home range and fishing pressure close to the limits of the MPAs. Managers should take in account the surrounding distribution of habitats in terms of complexity and quality in order to optimize the spillover capacity of the MPAs.

The Spanish Merino is the most significant sheep breed globally due to its economic and cultural importance in human history. It has also had a substantial influence on the development of other Merino and Merino-derived breeds. Historical sources indicate that crossbreeding to produce finer, higher-quality wool was already taking place in the south of the Iberian Peninsula during the Roman era. This evidence suggests that individuals with a racial pattern very similar to that of the modern Merino may have already existed on the peninsula. The presence of the skeletal remains of these animals at various human settlements dated to the late fourth and third millennia BC could provide insights into the genomics of these ancestral sheep. This study analyses ancient DNA extracted from nine skeletal remains from three archaeological sites in Southern Iberia, dated to the third millennium BC. The samples were sequenced and aligned with the ovine genome. The genetic distances observed among the samples indicate a closer relationship between several animals from the Marinaleda (Seville) and Grañena Baja (Jaén) sites. The study of the slaughter/death age profiles identified at La Minilla (La Rambla, Córdoba) suggests an approach centred on meat exploitation, while the data from Marinaleda (Seville) and Grañena Baja (Jaén) indicate the potential exploitation of secondary resources. A review of the composition of these small ruminant herds could provide insights into the type of secondary resource exploitation that may have been prioritised. Our aim is to investigate the presence of distinct production systems, differentiating between those aimed primarily at meat use and those focused on secondary products. This is the first approach to exploring the genetic evidence for sheep livestock related to its productive use during this period and in this geographical area.

Faculty of Pharmacy, Universidad San Pablo-CEU Universities, 28668 Madrid, Spain Author to whom correspondence should be addressed.

Open Access Perspective by María Yolanda Cervantes-Apolinar María Yolanda Cervantes-Apolinar SciProfiles Scilit

Food Technology Department, National Institute for Agricultural and Food Research and Technology (INIA-CSIC), Carretera de La Coruña Km 7.5, 28040 Madrid, Spain

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The objective of this article is to create soil burn severity maps to serve as field support for erosion tasks after forest fire occurrence in Spain (2017–2022). The Analytical Spectral Device (ASD) FieldSpec and the CIMEL CE-312 radiometers (optical and thermal, respectively) were used as input data to establish relationships between soil burn severity and reflectance or emissivity, respectively. Spectral indices related to popular forest fire studies and soil assessment were calculated by Sentinel-2 convolved reflectance. All the spectral indices that achieve the separability index algorithm (SI) were validated using specificity, sensitivity, accuracy (ACC), balanced accuracy (BACC), F1-score (F1), and Cohen’s kappa index (k), with 503 field plots. The results displayed the highest overall accuracy results using the Iron Oxide ratio (IOR) index: ACC = 0.71, BACC = 0.76, F1 = 0.63 and k = 0.50, respectively. In addition, IOR was the only spectral index with an acceptable k value (k = 0.50). It is demonstrated that, together with NIR and SWIR spectral bands, the use of blue spectral band reduces atmospheric interferences and improves the accuracy of soil burn severity mapping. The maps obtained in this study could be highly valuable to forest agents for soil erosion restoration tasks.