Iskanje po repozitoriju

Opis: Wildlife monitoring is crucial for successful conservation and management of wildlife populations. To support modern wildlife monitoring approaches in Slovenia, we developed SRNA, a nationwide citizen science appli- cation that collects additional metadata on several terrestrial vertebrate species. The app is designed for two groups of citizen scientists, hunters and other nature observers. To foster learning, it features a photo-based wildlife identification quiz and species identification guides. This pilot study evaluated app use and data quality with two aims: (1) to assess users’ ability to identify wildlife species from photos, focusing on taxa expected to be challenging to identify, and to test whether identification accuracy varies across mammal groups; (2) to analyse wildlife observation data submitted through SRNA. Users were successful in identifying several distinctive species but had some difficulty distinguishing between certain mustelids, and between golden jackal and grey wolf, indicating priorities for targeted educational campaigns. Biology-related educational background facilitated identification of mustelids and, to a lesser extent, canids. In its first year, SRNA collected 1633 observations via 742 reports, predominantly of European roe deer. Hunters and nature observers contributed complementary data: differences were observed not only in the number of reported species and amount of data they provided, but also in reporting patterns across biogeo- graphic regions, reporting rates, and the average delay time between encounters and submissions. This study demonstrates that SRNA provides promising complementary data for wildlife monitoring, but also highlights data quality limitations (biases and verification issues) that must be taken into account when using SRNA data.
Ključne besede: application for wildlife monitoring, citizen science, mammals, Slovenia, SRNA app, Wildlife identification quiz
Objavljeno v RUP: 08.04.2026; Ogledov: 160; Prenosov: 7
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Opis: Effective population size (Ne) is one of the most important parameters in evolutionary biology, as it is linked to the long-term survival capability of species. Therefore, Ne greatly interests conservation geneticists, but it is also very relevant to policymakers, managers, and conservation practitioners. Molecular methods to estimate Ne rely on various assumptions, including no immigration, panmixia, random sampling, absence of spatial genetic structure, and/or mutation-drift equilibrium. Species are, however, often characterized by fragmented populations under changing environmental conditions and anthropogenic pressure. Therefore, the estimation methods' assumptions are seldom addressed and rarely met, possibly leading to biased and inaccurate Ne estimates. To address the challenges associated with estimating Ne for conservation purposes, the COST Action 18134, Genomic Biodiversity Knowledge for Resilient Ecosystems (G-BiKE), organized an international workshop that met in August 2022 in Brașov, Romania. The overarching goal was to operationalize the current knowledge of Ne estimation methods for conservation practitioners and decision-makers. We set out to identify datasets to evaluate the sensitivity of Ne estimation methods to violations of underlying assumptions and to develop data analysis strategies that addressed pressing issues in biodiversity monitoring and conservation. Referring to a comprehensive body of scientific work on Ne, this meeting report is not intended to be exhaustive but rather to present approaches, workshop findings, and a collection of papers that serve as fruits of those efforts. We aimed to provide insights and opportunities to help bridge the gap between scientific research and conservation practice.
Ključne besede: Ne, effective population size, inbreeding
Objavljeno v RUP: 04.02.2026; Ogledov: 357; Prenosov: 1
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Opis: Biodiversity resilience relies on genetic diversity, which sustains the evolutionary potential of organisms in dynamic ecosystems. Genomics is a powerful tool for accurately estimating genetic diversity across genomes of species and populations. However, integration of genomic data into conservation efforts faces challenges due to the heterogeneity of approaches employed. Establishing common sets of standards for genomic data production and analysis is essential to consistently interpret results and clearly communicate outcomes to stakeholders. While the European Reference Genome Atlas (ERGA) community has contributed significantly to the standardisation of reference genome methodologies in synergy with other initiatives, there is now an urgent need to extend these principles to downstream analyses. ERGA aims to build on its experience to help establish harmonised approaches in applied biodiversity genomics research, aligned with ongoing efforts to define standardised metrics for measuring and reporting genetic diversity. Establishing consensus on best practices for genome-wide data generation methods and applications will substantially increase accuracy, interpretability, and comparability, together with enhanced stakeholder capacities. By identifying key opportunities and challenges, as well as conducting preliminary stakeholder mapping and examining case studies, the goal is to build an inclusive framework that ensures the relevance and widespread adoption of these best practices: fostering trust and confidence in genomics research practices to meet stakeholder needs in biodiversity conservation. We call upon the broader research community to join efforts in establishing these approaches, recognising the importance of participation of end-users, to foster the integration of genomic data into the toolkit for measuring and reporting genetic diversity.
Ključne besede: best practices, biodiversity genomics, genome-wide genetic diversity, stakeholder engagement, standardisation, whole genome resequencing data
Objavljeno v RUP: 16.01.2026; Ogledov: 427; Prenosov: 2
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Opis: The mutual interest in nature by the general public and scientists has led to many collaborations, past and present. Community science shows great potential for monitoring species occurrences and distributions, especially in combination with scalable and (semi)-automated methods such as DNA-based monitoring, helping to obtain data from a broader geographic and temporal range than would be possible by the scientific community alone. Here, we present an overview of the complementarity between community science and DNA-based biomonitoring through examples from ongoing projects. The involvement of hobby experts is particularly crucial for building up the necessary species reference databases that enable DNA-based monitoring. Based on this overview, we identify some key points related to learning opportunities and participant recognition to maximise the success, impact and benefit of community participants in DNA-based monitoring.
Ključne besede: eDNA, community science, genetics
Objavljeno v RUP: 13.10.2025; Ogledov: 448; Prenosov: 2
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Ključne besede: elektronski laboratorijski dnevnik, sistem za urejanje laboratorijskih informacij, FAIR načela, molekularna ekologija, razvoj sistema, diplomske naloge
Objavljeno v RUP: 07.10.2025; Ogledov: 547; Prenosov: 0