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Dispersal network heterogeneity promotes species coexistence in hierarchical competitive communities
- Source :
- Ecology letters
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- Understanding the mechanisms of biodiversity maintenance is a fundamental issue in ecology. The possibility that species disperse within the landscape along differing paths presents a relatively unexplored mechanism by which diversity could emerge. By embedding a classical metapopulation model within a network framework, we explore how access to different dispersal networks can promote species coexistence. While it is clear that species with the same demography cannot coexist stably on shared dispersal networks, we find that coexistence is possible on unshared networks, as species can surprisingly form self-organised clusters of occupied patches with the most connected patches at the core. Furthermore, a unimodal biodiversity response to an increase in species colonisation rates or average patch connectivity emerges in unshared networks. Increasing network size also increases species richness monotonically, producing characteristic species-area curves. This suggests that, in contrast to previous predictions, many more species can co-occur than the number of limiting resources. Funding Agencies|National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31760172, 31901175]; Key Joint Youth Project of Jiangxi Province [20192ACBL21029]
- Subjects :
- Ekologi
0106 biological sciences
Ecology
010604 marine biology & hydrobiology
Ecology (disciplines)
Population Dynamics
Biodiversity
Metapopulation
Network size
Network theory
Models, Biological
010603 evolutionary biology
01 natural sciences
Colonisation
Chemistry
Geography
Competitive hierarchy
dispersal heterogeneity
landscape perception
network theory
preemptive competition
segregation-aggregation mechanism
spatial coexistence
Biological dispersal
Species richness
Biology
Ecosystem
Ecology, Evolution, Behavior and Systematics
Subjects
Details
- ISSN :
- 14610248 and 1461023X
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Ecology Letters
- Accession number :
- edsair.doi.dedup.....60ef4bc67a67520805e178921c1501bf