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Data from: Spatial heterogeneity lowers rather than increases host-parasite specialization
负责人:
关键词:
Host-parasite interaction;Adaptive dynamics;Viruses;Experimental evolution;Pseudomonas fluorescens;Microbes;Adaptation
DOI:
doi:10.5061/dryad.26pm4
摘要:
Abiotic environmental heterogeneity can promote the evolution of diverse resource specialists, which in turn may increase the degree of host-parasite
Data from: Modeling multi-species and multi-mode contact networks: implications for persistence of bovine tuberculosis at the wildlife-livestock
负责人:
Wilber, Mark
关键词:
bovine tuberculosis contact heterogeneity network modeling disease transmission wildlife-livestock interface opossum raccoon white-tailed deer
DOI:
doi:10.5061/dryad.08vv722
摘要:
1. Individual- and species-level heterogeneity in contact rates can alter the ability of a pathogen to invade a host community. Many pathogens hav
Data from: Host use dynamics in a heterogeneous fitness landscape generates oscillations in host range and diversification
负责人:
关键词:
Nymphalidae;parasite diversity;phenotypic amplitude;host range;individual-based model
DOI:
doi:10.5061/dryad.rn72k04
摘要:
and a heterogeneous fitness landscape. We found two main effects of host use on the evolution of a parasite lineage. First, the colonization of a novel host allowed
Data from: Rapidly fluctuating environments constrain coevolutionary arms races by impeding selective sweeps
负责人:
关键词:
Experimental evolution;antagonistic coevolution;Pseudomonas fluorescens;natural enemy;arms race;exploiter-victim;host-parasite
DOI:
doi:10.5061/dryad.8k015
摘要:
Although pervasive, the impact of temporal environmental heterogeneity on coevolutionary processes is poorly understood. Productivity is a key
Data from: Multiple choice: hemiparasite performance in multi-species mixtures
负责人:
关键词:
Rhinanthus alectorolophus;host preference;functional diversity
DOI:
doi:10.5061/dryad.61ts3bv
摘要:
d large parasites without being strongly suppressed in their own growth, but the suppression of a species in the single-host experiment did not explain
Data from: Seabird and Louse Coevolution: Complex Histories Revealed by 12S rRNA Sequences and Reconciliation Analyses
负责人:
关键词:
BPA;reconciliation analysis;seabirds;host-switching;cospeciation;sorting events;Lice;relative rate test
DOI:
doi:10.5061/dryad.593
摘要:
d due to chance. The sequence data were used to test for rate heterogeneity for both seabirds and lice. The seabird tree showed no signific
Data from: Patterns of host plant utilization and diversification in the brush-footed butterflies
负责人:
关键词:
comparative methods phylogenetics turnover herbivory
DOI:
doi:10.5061/dryad.p5v8g
摘要:
Hypothesis. We found strong evidence of diversification rate heterogeneity, but no difference in host breadth between clades with a higher diversification rate
Data from: Landscape-scale interactions of spatial and temporal cropland heterogeneity drive biological control of cereal aphids
负责人:
Baillod Bosem, Aliette
关键词:
spatial heterogeneity aphid parasitism crop rotation edge effect field margin field size landscape composition landscape configuration predator-prey ratio temporal heterogeneity
DOI:
doi:10.5061/dryad.2tf5j
摘要:
) and inter-annual change in cover of aphid host habitats (cereal, maize and grassland). We aimed to disentangle spatial and temporal heterogeneity effects through these
Data from: Spatial heterogeneity of a parasitic plant drives the seed-dispersal pattern of a zoochorous plant community in a generalist dispersal system
负责人:
关键词:
frugivory mistletoe plant-animal interactions plant neighborhood plant-plant interactions spatial-temporal variability
DOI:
doi:10.5061/dryad.3m342
摘要:
Biota plays a central role as sources of spatial heterogeneity, having great potential to define ecological processes and patterns in the landscape
Data from: Scale dependencies and generalism in host use shape virus prevalence
负责人:
关键词:
amplification;dilution;infection network;host-pathogen;community;host range
DOI:
doi:10.5061/dryad.253hr
摘要:
t habitat heterogeneity, ignored at larger (ecosystem) spatial scales, influences pathogen distributions. Hence, understanding disease distributions and the evolution

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