721 research outputs found
On the interplay of speciation and dispersal: An evolutionary food web model in space
We introduce an evolutionary metacommunity of multitrophic food webs on
several habitats coupled by migration. In contrast to previous studies that
focus either on evolutionary or on spatial aspects, we include both and
investigate the interplay between them. Locally, the species emerge, interact
and go extinct according to the rules of the well-known evolutionary food web
model proposed by Loeuille and Loreau in 2005. Additionally, species are able
to migrate between the habitats. With random migration, we are able to
reproduce common trends in diversity-dispersal relationships: Regional
diversity decreases with increasing migration rates, whereas local diversity
can increase in case of a low level of dispersal. Moreover, we find that the
total biomasses in the different patches become similar even when species
composition remains different. With adaptive migration, we observe species
compositions that differ considerably between patches and contain species that
are descendant from ancestors on both patches. This result indicates that the
combination of spatial aspects and evolutionary processes affects the structure
of food webs in different ways than each of them alone.Comment: under review at JT
Interplay of spatial dynamics and local adaptation shapes species lifetime distributions and species-area relationships
The distributions of species lifetimes and species in space are related,
since species with good local survival chances have more time to colonize new
habitats and species inhabiting large areas have higher chances to survive
local disturbances. Yet, both distributions have been discussed in mostly
separate communities. Here, we study both patterns simultaneously using a
spatially explicit, evolutionary community assembly approach. We present and
investigate a metacommunity model, consisting of a grid of patches, where each
patch contains a local food web. Species survival depends on predation and
competition interactions, which in turn depend on species body masses as the
key traits. The system evolves due to the migration of species to neighboring
patches, the addition of new species as modifications of existing species, and
local extinction events. The structure of each local food web thus emerges in a
self-organized manner as the highly non-trivial outcome of the relative time
scales of these processes. Our model generates a large variety of complex,
multi-trophic networks and therefore serves as a powerful tool to investigate
ecosystems on long temporal and large spatial scales. We find that the observed
lifetime distributions and species-area relations resemble power laws over
appropriately chosen parameter ranges and thus agree qualitatively with
empirical findings. Moreover, we observe strong finite-size effects, and a
dependence of the relationships on the trophic level of the species. By
comparing our results to simple neutral models found in the literature, we
identify the features that are responsible for the values of the exponents.Comment: Theor Ecol (2019
Efficient pathway for early detection of prostate cancer concluded from a 5-year prospective study
Single Potential Analysis of Cavernous Electric Activity in Impotent Patients: a Possible Diagnostic Method for Autonomic Cavernous Dysfunction and Cavernous Smooth Muscle Degeneration.
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