J
Jason D. Hoeksema
Researcher at University of Mississippi
Publications - 63
Citations - 4221
Jason D. Hoeksema is an academic researcher from University of Mississippi. The author has contributed to research in topics: Mutualism (biology) & Abiotic component. The author has an hindex of 22, co-authored 57 publications receiving 3695 citations. Previous affiliations of Jason D. Hoeksema include University of Alberta & University of California, Santa Cruz.
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Journal ArticleDOI
A meta-analysis of context-dependency in plant response to inoculation with mycorrhizal fungi
Jason D. Hoeksema,V. Bala Chaudhary,Catherine A. Gehring,Nancy Collins Johnson,Justine Karst,Roger T. Koide,Anne Pringle,Catherine A. Zabinski,James D. Bever,John C. Moore,Gail W. T. Wilson,John N. Klironomos,James Umbanhowar +12 more
TL;DR: Univariate analyses supported the hypothesis that plant response is most positive when plants are P-limited rather than N-limited when the soil community was more complex, and emphasize that mycorrhizal function depends on both abiotic and biotic context.
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Linking biodiversity to ecosystem function: implications for conservation ecology
Mark W. Schwartz,C. A. Brigham,Jason D. Hoeksema,Kelly G. Lyons,M. H. Mills,P. J. Van Mantgem +5 more
TL;DR: Little support is found for the hypothesis that there is a strong dependence of ecosystem function on the full complement of diversity within sites, and the conservation community should take a cautious view of endorsing this linkage as a model to promote conservation goals.
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The promise and the potential consequences of the global transport of mycorrhizal fungal inoculum.
Mark W. Schwartz,Jason D. Hoeksema,Catherine A. Gehring,Nancy Collins Johnson,John N. Klironomos,Lynette Abbott,Anne Pringle +6 more
TL;DR: The degree to which introductions of mycorrhizal fungi may lead to unintended negative, and potentially costly, consequences is assessed and appropriate management guidelines are made and top priority research needs are highlighted.
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A Meta-Analysis of Factors Affecting Local Adaptation between Interacting Species
TL;DR: In reciprocally designed experiments, the relative gene flow rate of hosts versus parasites was the strongest predictor of local adaptation, with significant parasite local adaptation only in the studies in which parasites had greater gene flow rates than their hosts.
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Specialization and resource trade: biological markets as a model of mutualisms
TL;DR: A biological market approach is adopted to present a model for the evolution of resource exchange mutualisms, using the relationship between plants and mycorrhizal fungi as an example, and shows that two species ought to specialize in the acquisition of one resource and trade for a second resource as long as each species perceives different relative acquisition costs for the two resources.