A5073560187- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Wildlife Ecology and Conservation
- Ecology and Vegetation Dynamics Studies
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Avian ecology and behavior
- Rangeland and Wildlife Management
- Historical and socio-economic studies of Spain and related regions
- Genetic diversity and population structure
- Landslides and related hazards
- Animal Behavior and Reproduction
- Forest Management and Policy
- Urbanism, Landscape, and Tourism Studies
- Atmospheric and Environmental Gas Dynamics
- Conservation, Biodiversity, and Resource Management
- Plant and animal studies
- Mediterranean and Iberian flora and fauna
- Fire dynamics and safety research
- Economic and Environmental Valuation
- Regional Development and Innovation
- Sustainable Agricultural Systems Analysis
- Fire Detection and Safety Systems
- Forest Ecology and Biodiversity Studies
Universidad de Oviedo
2019-2024
Universidad de León
2013-2023
Biodiversity Research Institute
2023
University of Oslo
2017
Institut National de la Recherche Agronomique
2002
University of Stirling
2002
National University of Río Cuarto
2002
1 Predictive models of species' distributions are used increasingly in ecological studies investigating features as varied biodiversity, habitat selection and interspecific competition. In a pilot study, we based successful model for the great bustard Otis tarda on advanced very high resolution radiometer (AVHRR) satellite data, which offer attractive predictor variables because global coverage, temporal frequency overpasses low cost. We wished to assess whether approach could be applied at...
ABSTRACT Despite a growing interest in species distribution modelling, relatively little attention has been paid to spatial autocorrelation and non‐stationarity. Both (the tendency for adjacent locations be more similar than distant ones) non‐stationarity variation modelled relationships over space) are likely common properties of ecological systems. This paper focuses on uses two local techniques, geographically weighted regression (GWR) varying coefficient modelling (VCM), assess its...
This study evaluated the opportunities and challenges of using drones to obtain multispectral orthomosaics at ultra-high resolution that could be useful for monitoring large heterogeneous burned areas. We conducted a survey an octocopter equipped with Parrot SEQUOIA camera in 3000 ha framework located within perimeter megafire Spain. assessed quality both raw imagery orthomosaic obtained, as well required processing capability. Additionally, we compared spatial information provided by drone...
We analyse the effects of burn severity on individual soil properties and quotients in Mediterranean fire-prone pine forests immediately after a wildfire. Burn was measured field through substrate stratum Composite Index samples were taken 7–9 days wildfire occurred Pinus pinaster Ait. ecosystem. In each sample, we analysed physical (size aggregates), chemical (pH, organic C, total N available P) biological (microbial biomass β-glucosidase, urease acid phosphatase activities) properties....
The characterization of surface and canopy fuel loadings in fire-prone pine ecosystems is critical for understanding fire behavior anticipating the most harmful ecological effects fire. Nevertheless, joint consideration both overstory understory strata burn severity assessments often dismissed. aim this work was to assess role total, pre-fire aboveground biomass (AGB), estimated by means airborne Light Detection Ranging (LiDAR) Landsat data, as drivers a megafire occurred ecosystem dominated...
Abstract The structural complexity of plant communities contributes to maintaining the ecosystem functioning in fire‐prone landscapes and plays a crucial role driving ecological resilience fire. objective this study was evaluate fire off several with reference temporal evolution their vertical diversity (VSD) estimated from data fusion C‐band synthetic aperture radar (SAR) backscatter (Sentinel‐1) multispectral remote sensing reflectance (Sentinel‐2) burned landscape western Mediterranean...
The evaluation at detailed spatial scale of soil status after severe fires may provide useful information on the recovery burned forest ecosystems. Here, we aimed to assess potential combining multispectral imagery different spectral and resolutions estimate indicators burn severity. study was conducted in a area located northwest Iberian Peninsula (Spain). One month fire, measured severity field using an adapted protocol Composite Burn Index (CBI). Then, performed sampling analyze three...