Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
HIERARCHICAL AND SAMPLING-OPTIMIZED SPECIES DISTRIBUTION MODELLING FOR CONSERVATION PLANT ECOLOGY
Year:2017
Research Areas
  • Meditarranean forest,
  • Botany,
  • Plant life,
  • Protection of plant life,
  • Plant ecology
Information
Abstract
Plant species distribution models (SDMs) are useful tools applied to conservation ecology with significant contributions in numerous disciplines, for example: reintroduction of endangered species, climate change effects on biodiversity, alien species, Protected Areas design (Mateo et al. 2011). However, the application of SDMs at landscape scale and accurate resolution still requires significant methodological and conceptual contributions. Here, we focus on two important developments. First, considering the limited resources (time and money) that governments can usually allocate to implement conservation strategies, we investigate which is the optimum sampling strategy to obtain reliable SDMs comparing two different sampling strategies: regular more resources demanding) and opportunistic along tracks and roads (fewer resources demanding). On the other hand, we develop a hierarchical scale modelling approach that describes two important mechanisms in plant biology: 1) current local environmental conditions, anthropization and environmental disturbance (local scale); 2) physiological tolerances of the species, thus characterizing attributes linked to the ecological niche of the species (regional scale). The local model is a proxy of the actual distribution of the species and the regional model represents the potential climatic distribution. We developed this project at Sierra del Rincón Biosphere Reserve (Madrid, Spain), where we collected data for several tree and shrub species by both regular and opportunistic sampling. For each species, we run different ensemble SDMs at local scale using the two sampling strategies and an ensemble model at regional model using the data from the Spanish National Forest Inventory. The ensemble modelling approach used three different modelling techniques under present and future climate variables. Our main conclusions are: 1) optimization resources it is necessary to design the sampling strategy in landscape ecological modelling. 2) Sampling strategy should characterize the environmental heterogeneity in the study area. 3) A hierarchical scale modelling approach is needed in landscape ecological models when applied to conservation ecology. 4) Both scales SDMs provide interesting information for conservation plans, the local-SDMs better consider local regeneration conditions, while the regional-SDMs allows for consideration of climate change effects and the potential climatic niche of the species.
International
No
Congress
VIII Congreso de Biología de la Conservación de Plantas
960
Place
Madrid
Reviewers
Si
ISBN/ISSN
000-00-0000-000-0
Start Date
04/07/2017
End Date
07/07/2017
From page
59
To page
59
Libro de Resúmenes del 8 Congreso de la Conservación de Plantas
Participants
  • Autor: Ruben Garcia Mateo (UPM)
  • Autor: Aitor Gaston Gonzalez (UPM)
  • Autor: Maria Jose Aroca Fernandez (UPM)
  • Autor: Maria Cruz Mateo Sanchez (UPM)
  • Autor: Gonzalo Chamorro López
  • Autor: Eva Gavela Coya
  • Autor: Elena Gutiérrez Fernández
  • Autor: Juan Ignacio Garcia Viñas (UPM)
  • Autor: Santiago Fulgencio Saura Martinez de Toda (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ecología y Gestión Forestal Sostenible
  • Departamento: Ingeniería y Gestión Forestal y Ambiental
  • Departamento: Sistemas y Recursos Naturales
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)