COMPLEJIDAD DEL PAISAJE Y ESTRUCTURA DE COMUNIDADES SOMETIDAS A RESTAURACION
CGL2016-75205-R
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Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal de I+D+i Orientado a los Retos de la Sociedad
Convocatoria Proyectos de I+D+I (Retos Investigación)
Año convocatoria 2016
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Centro beneficiario AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS (CSIC)
Identificador persistente http://dx.doi.org/10.13039/501100011033
Publicaciones
Found(s) 3 result(s)
Found(s) 1 page(s)
Found(s) 1 page(s)
Survival and growth of Mediterranean woody plants from experimental communities in a restoration context [Dataset]
Digital.CSIC. Repositorio Institucional del CSIC
- Rodríguez, Alejandro
Monitoring of an experimental plantation of Mediterranean woody species during four years after planting. Information includes plant location, experimental plot, density, species mixture, annual survival, annual growth, and categories of plant vigor. Plant growth is derived from linear measurements: height, crown diameter, and basal diameter., The dataset was used for analyzing the effect of plant density and species composition in the neighborhood on survival and relative growth rates of planted focal individuals, Data collection was funded by the Andalusian Department of Environment and the Andalusian Department of Innovation, Science and Enterprise (P06-RNM-01903) and the European Regional Development Fund. Data processing was funded by the Spanish National Research Agency (AEI; CGL2016-75205-R) and the European Regional Development Fund., Peer reviewed
Proyecto: MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2016-75205-R
Estimates of species richness and composition depend on detection method in assemblages of terrestrial mammals
Digital.CSIC. Repositorio Institucional del CSIC
- Suárez-Tangil, Bruno D.
- Rodríguez, Alejandro
© 2021 by the authors., Detecting rapid changes in mammal composition at large spatial scales requires efficient detection methods. Many studies estimate species composition with a single survey method without asking whether that particular method optimises detection for all occurring species and yields reliable community-level indices. We explore the implications of between-method differences in efficiency, consistency, and sampling effort for the basic characterisation of assemblages of medium to large mammals in a region with three contrasted Mediterranean landscapes. We assessed differences between camera traps, scent stations, scat surveys, and track surveys. Using track surveys, we detected all species present in the regional pool (13) and obtained the most accurate description of local species richness and composition with the lowest sampling effort (16 sampling units and 2 survey sessions at most). Had we chosen camera traps, scent stations, or scat surveys as the only survey method, we would have underestimated species richness (9, 11, and 12 species, respectively) and misrepresented species composition in varying degrees. Preliminary studies of method performance inform whether single or multiple survey methods are needed and eventually which single method might be most appropriate. Without such a formal assessment current practices may produce unreliable and incomplete species inventories, ultimately leading to incorrect conclusions about the impact of human activity on mammal communities., This research was funded by the Spanish National Research Agency (AEI; grant CGL2016-
75205-R), Junta de Andalucía (Consejería de Medio Ambiente, PICOVER programme; Consejería de
Innovación, Ciencia y Empresa, grant P06-RNM-1903), and the European Regional Development
Fund (FEDER). BD Suárez-Tangil was supported by a fellowship of the Tatiana Pérez de Guzmán el
Bueno Foundation.
75205-R), Junta de Andalucía (Consejería de Medio Ambiente, PICOVER programme; Consejería de
Innovación, Ciencia y Empresa, grant P06-RNM-1903), and the European Regional Development
Fund (FEDER). BD Suárez-Tangil was supported by a fellowship of the Tatiana Pérez de Guzmán el
Bueno Foundation.
Proyecto: MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2016-75205-R
Composition of mammal assemblages and multi-scale environmental variables in the Guadiamar basin
Digital.CSIC. Repositorio Institucional del CSIC
- Rodríguez, Alejandro
- Suárez-Tangil, Bruno D.
Monitoring of 13 species at six-month intervals during two years in order to describe spatial variation in the composition of the mammal assemblage. The dataset includes species occurrence in 400-ha sampling plots, measurements of vegetation cover at the microhabitat scale, proxies of human disturbance, and aggregate indices of land use composition in the landscape within and around sampling plots., Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)., The dataset was used for analyzing the relative effect of spatial, environmental, and biotic factors on community assembly, Field data:
Andalusian Department of Environment; PICOVER programme
Remote sensing data:
Project 1 - Landscape complexity and structure of communities under restoration; Funded by the Spanish National Research Agency (grant 711 CGL2016-75205-R);
Project 2 - Viability and ecological connectivity of a new afforestation model: application to the Guadiamar Green Corridor; Funded by Andalusian Department of Innovation, Science and Enterprise (grant P06-RNM-1903).
Projects co-funded by the European Regional Development Fund (FEDER), European Commission., Mammals_Guadiamar_basin.xlsx (Microsoft Excel spreadsheet), Peer reviewed
Andalusian Department of Environment; PICOVER programme
Remote sensing data:
Project 1 - Landscape complexity and structure of communities under restoration; Funded by the Spanish National Research Agency (grant 711 CGL2016-75205-R);
Project 2 - Viability and ecological connectivity of a new afforestation model: application to the Guadiamar Green Corridor; Funded by Andalusian Department of Innovation, Science and Enterprise (grant P06-RNM-1903).
Projects co-funded by the European Regional Development Fund (FEDER), European Commission., Mammals_Guadiamar_basin.xlsx (Microsoft Excel spreadsheet), Peer reviewed
Proyecto: MINECO//CGL2016-75205-R