Carmen Ruiz‐Rodríguez

ORCID: 0000-0002-0768-9280
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Wildlife Ecology and Conservation
  • Zoonotic diseases and public health
  • Species Distribution and Climate Change
  • Vector-Borne Animal Diseases
  • Animal Disease Management and Epidemiology
  • Ecology and biodiversity studies
  • Viral Infections and Vectors
  • Animal Behavior and Welfare Studies
  • Sports Analytics and Performance
  • Fire effects on ecosystems
  • Genetic and phenotypic traits in livestock
  • Vector-borne infectious diseases
  • Animal Ecology and Behavior Studies
  • Human-Animal Interaction Studies
  • Insect and Arachnid Ecology and Behavior
  • Insect and Pesticide Research

Instituto de Investigación en Recursos Cinegéticos
2022-2025

Research Institute for Nature and Forest
2023

University of Castilla-La Mancha
2022

The European Observatory of Wildlife (EOW) as part the ENETWILD project, aims to improve capacity for monitoring wildlife populations, implementing international standards data collection, providing guidance on density estimation, and finally, promote collaborative, open networks develop monitoring, initially focusing terrestrial wild mammals. This report presents estimates species that are widely distributed (wild boar (Sus scrofa), roe deer (Capreolus capreolus), red (Cervus elaphus)) by...

10.2903/sp.efsa.2023.en-7892 article EN EFSA Supporting Publications 2023-03-01

The data sets provide long-term information (2013–2022) of the presence-only eight wild ungulates and red fox derived from harvest in a grid 5 × km Spain (21,836 cells). collected has been processed reported yearly, as well two monitoring periods accordance with Habitats Directive European Union to facilitate reporting about State nature, sum whole period. Data are structured following Darwin Core biological standard. set was published Spanish node Global Biodiversity Information Facility...

10.1038/s41597-025-04574-z article EN cc-by-nc-nd Scientific Data 2025-02-10

The goal of this report is i) to model the occurrence and hunting yield (HY) density wild ungulates not only for widely distributed species in Europe, but also those ones which have a constrained distribution ii) compare output with observed HY. Random Forest function was used modelling species. We data available from past 30 years, HY (period 2015-2020) records collected by ENETWILD. Like previous models based on HY, response variable maximum number ruminants annually hunted 2015-2020...

10.2903/sp.efsa.2022.en-7631 article EN EFSA Supporting Publications 2022-10-01

Abstract In order to monitor wildlife populations in a manner that supports policy makers and natural resource managers, data must be collected using frameworks methodologies allow for comparisons between projects across time. Though hunting statistics may represent reliable source monitoring population trends game species, standardised framework collecting analysing this has never been established Europe, even within countries. Here we describe case study on the use of Spain (i) variability...

10.1007/s10344-023-01746-3 article EN cc-by European Journal of Wildlife Research 2023-11-29

Crimean-Congo haemorrhagic fever (CCHF) is an emerging tick-borne human disease in Spain. Understanding the spatiotemporal dynamics and exposure risk determinants of CCHF virus (CCHFV) animal models essential to predict time areas highest transmission risk. With this goal, we designed a longitudinal survey two wild ungulate species, red deer (Cervus elaphus) Eurasian boar (Sus scrofa), Doñana National Park, protected Mediterranean biodiversity hotspot with high CCHFV vector abundance, which...

10.1111/tbed.14720 article EN Transboundary and Emerging Diseases 2022-10-02

The goal of this report is modelling the occurrence for carnivores at European scale and to compare output with observed hunting yield (HY) density models red fox (Vulpes vulpes) badger (Meles meles). Random Forest function was used species. Occurrences available from past 30 years (1990-2020), HY data (period 2012-2021) records submitted ENETWILD were considered modelling. Like previous based on ungulates, response variable maximum number hunted in that period divided by area km2...

10.2903/sp.efsa.2023.en-7894 article EN EFSA Supporting Publications 2023-02-01

The representation of wildlife-livestock interface (WLI) at an accurate spatial resolution poses several challenges. Furthermore, there is a lack published material providing detailed descriptions geospatial techniques for the purpose producing visual results that are interpretable and contrastable epidemiological analysis.

10.1016/j.prevetmed.2024.106280 article EN cc-by-nc Preventive Veterinary Medicine 2024-07-09

Abstract Wildlife population monitoring requires that collected information be comparable among data collection frameworks and useful in decision making. Hunting statistics may suppose a reliable alternative for trends of game species, however, there is not common homogeneous framework Europe, even, within countries. As case study, we aimed to i) describe the variability big across mainland regions Spain, ii) propose minimum denominator harmonized approach at country level. The main...

10.21203/rs.3.rs-2138283/v1 preprint EN cc-by Research Square (Research Square) 2022-10-11

Background: Representing the wildlife-livestock interface (WLI) with accurate spatial resolution poses several challenges and lacks detailed descriptions of geospatial techniques for producing visually interpretable contrastable outputs epidemiological analyses.Objectives: Our aim is to develop a standardized, applicable, scalable methodological framework describing characterizing WLI across large extent, specifically focusing on mainland Spain. Subsequently, we employ this depict specific...

10.2139/ssrn.4688440 preprint EN 2024-01-01

Crimean-Congo haemorrhagic fever (CCHF) is an emerging tick-borne human disease in Spain. Understanding the spatiotemporal dynamics and exposure risk determinants of CCHF virus (CCHFV) animal models essential to predict time areas highest transmission risk. With this goal, we designed a longitudinal survey two wild ungulate species, red deer ( Cervus elaphus ) Eurasian boar Sus scrofa ), Doñana National Park, protected Mediterranean biodiversity hotspot with high CCHFV vector abundance,...

10.22541/au.165688204.49824767/v1 preprint EN Authorea (Authorea) 2022-07-03

Vector abundance is an essential ecological parameter to infer vector-borne pathogen transmission risks. Spatiotemporal patterns of vector are heterogeneous and determine variations in the risk that must be understood prevent diseases. To unravel demographic determinants exophilic ticks Mediterranean environments, we estimated tick burdens on 1,965 wild ungulates Doñana National Park, Spain, annually between 2010 2020. A total 51,431 were counted ungulates, including nine species. We...

10.2139/ssrn.4149328 article EN SSRN Electronic Journal 2022-01-01
Coming Soon ...