03_12_2015, Ingrid Parker, Phylogenetic structure and host abundance drive disease pressure in communities

Outreach

Open Call for Research Projects in ICTS-Doñana!

The Singular Scientific and Technical Infrastructure Doñana Biological Reserve (ICTS-Doñana) announces the opening of a call for international research projects in the Doñana Natural Space.

Selected projects will receive a grant of up to €10,000 per application, intended to cover expenses such as travel and per diems for researchers, consumables, and small research project materials.

Priority will be given to international projects that collaborate with Spanish research teams in Doñana Natural Space, that make use of the facilities of the ICTS and/or use environmental monitoring data provided by ICTS-Doñana.

The call for proposals will remain open until 30 June 2024, with priority given to projects led by young researchers and women.

Send your research project in Spanish or English with the CV of the Principal Researcher to direccion.ebd@csic.es

Download Application model

Funding: Junta Andalucía Call QUAL21-020

— 1 Items per Page

Showing 1 - 1 of 70 results.

Back

Prof. Ingrid M. Parker Department of Ecology and Evolutionary Biology University of California, Santa Cruz http://parker.eeb.ucsc.edu/ Title: Phylogenetic structure and host abundance drive disease pressure in communities Abstract: Pathogens play an important part in shaping the structure and dynamics of natural communities. A shared goal of ecology and epidemiology is to predict when a species is most vulnerable to disease. A leading hypothesis asserts that the impact of disease should increase with host abundance, producing a ‘rare-species advantage’. However, the impact of a pathogen may be decoupled from host abundance, because most pathogens infect more than one species, leading to pathogen spillover onto closely related species. We study how the phylogenetic and ecological structure of the surrounding community can be important predictors of disease pressure in a grassland plant community. We formulate predictive models of pathogen sharing using a global database, then use these models to predict disease pressure at the local scale. We find that we can both explain variation in disease across a community of hosts and predict disease pressure for experimentally introduced novel hosts. Our work has implications for the maintenance of biodiversity, epidemiology, biotic resistance against introduced weeds, and the success of managed plants in agriculture and forestry.

Automatically Extracted Metadata

seminarios ebd 4627 Views