Your browser doesn't support javascript.
loading
Mutualist and pathogen traits interact to affect plant community structure in a spatially explicit model.
Schroeder, John W; Dobson, Andrew; Mangan, Scott A; Petticord, Daniel F; Herre, Edward Allen.
Afiliação
  • Schroeder JW; Smithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama. john.will.schroeder@gmail.com.
  • Dobson A; Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, USA. john.will.schroeder@gmail.com.
  • Mangan SA; Princeton University, Princeton, NJ, USA.
  • Petticord DF; Santa Fe Institute, Hyde Park Road, Santa Fe, NM, USA.
  • Herre EA; Smithsonian Tropical Research Institute, Balboa Ancon, Republic of Panama.
Nat Commun ; 11(1): 2204, 2020 05 05.
Article em En | MEDLINE | ID: mdl-32371877
ABSTRACT
Empirical studies show that plant-soil feedbacks (PSF) can generate negative density dependent (NDD) recruitment capable of maintaining plant community diversity at landscape scales. However, the observation that common plants often exhibit relatively weaker NDD than rare plants at local scales is difficult to reconcile with the maintenance of overall plant diversity. We develop a spatially explicit simulation model that tracks the community dynamics of microbial mutualists, pathogens, and their plant hosts. We find that net PSF effects vary as a function of both host abundance and key microbial traits (e.g., host affinity) in ways that are compatible with both common plants exhibiting relatively weaker local NDD, while promoting overall species diversity. The model generates a series of testable predictions linking key microbial traits and the relative abundance of host species, to the strength and scale of PSF and overall plant community diversity.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Solo / Microbiologia do Solo / Simbiose / Ecossistema / Micorrizas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Solo / Microbiologia do Solo / Simbiose / Ecossistema / Micorrizas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article