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Refining predictions of metacommunity dynamics by modeling species non‐independence
- Source :
- Ecology. 101
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Predicting the dynamics of biotic communities is difficult because species? environmental responses are not independent, but covary due to shared or contrasting ecological strategies and the influence of species interactions. We used latent-variable joint species distribution models to analyse paired historical and contemporary inventories of 585 vascular plant species on 471 islands in the south-west Finnish archipelago. Larger, more heterogeneous islands were characterized by higher colonisation rates and lower extinction rates. Ecological and taxonomical species groups explained small but detectable proportions of variance in species? environmental responses. To assess the potential influence of species interactions on community dynamics, we estimated species associations as species-to-species residual correlations for historical occurrences, for colonisations, and for extinctions. Historical species associations could to some extent predict joint colonisation patterns, but the overall estimated influence of species associations on community dynamics was weak. These results illustrate the benefits of considering metacommunity dynamics within a joint framework, but also suggest that any influence of species interactions on community dynamics may be hard to detect from observational data.
- Subjects :
- 0106 biological sciences
Metacommunity
DISTRIBUTION PATTERNS
PHYLOGENETIC RELATEDNESS
Insular biogeography
Population Dynamics
Population
Species distribution
Models, Biological
010603 evolutionary biology
01 natural sciences
joint species distribution models
topographic complexity
Species Specificity
RICHNESS
DISTRIBUTIONS
education
POPULATION
Ecosystem
Ecology, Evolution, Behavior and Systematics
Islands
species interactions
geography
education.field_of_study
geography.geographical_feature_category
Extinction
island biogeography
Community
vegetation dynamics
Ecology
010604 marine biology & hydrobiology
05 social sciences
050301 education
General Medicine
15. Life on land
Biota
ENVIRONMENTAL HETEROGENEITY
SW ARCHIPELAGO
1181 Ecology, evolutionary biology
metacommunity dynamics
Archipelago
VASCULAR PLANTS
Species richness
COMMUNITY ECOLOGY
LONG-TERM CHANGES
0503 education
Subjects
Details
- ISSN :
- 19399170 and 00129658
- Volume :
- 101
- Database :
- OpenAIRE
- Journal :
- Ecology
- Accession number :
- edsair.doi.dedup.....b520241bed915fc2272630c4ab675128