2024-03-29T11:53:20Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1558732018-01-11T12:18:13Zcom_10261_88com_10261_8col_10261_341
2017-09-29T10:53:43Z
urn:hdl:10261/155873
Highly variable species distribution models in a subarctic stream metacommunity: Patterns, mechanisms and implications
de Mendoza, Guillermo
Kaivosoja, Riikka
Grönroos, Mira
Hjort, Jan
Ilmonen, Jari
Kärnä, Olli-Matti
Paasivirta, Lauri
Tokola, Laura
Heino, Jani
Stream macroinvertebrates
Subarctic streams
Beta regression
Comparative analysis
Insects
Metacommunity theory
Single-species distribution models
Este artículo contiene 15 páginas, 4 figuras, 1 tabla.
1. Metacommunity theory focuses on assembly patterns in ecological communities,
originally exemplified through four different, yet non-exclusive, perspectives:
patch dynamics, species sorting, source-sink dynamics, and neutral theory. More
recently, three exclusive components have been proposed to describe a different
metacommunity framework: habitat heterogeneity, species equivalence, and dispersal.
Here, we aim at evaluating the insect metacommunity of a subarctic
stream network under these two different frameworks.
2. We first modelled the presence/absence of 47 stream insects in northernmost
Finland, using binomial generalised linear models (GLMs). The deviance explained
by pure local environmental (E), spatial (S), and climatic variables (C) was then
analysed across species using beta regression. In this comparative analysis, site
occupancy, as well as taxonomic and biological trait vectors obtained from principal
coordinate analysis, were used as predictor variables.
3. Single-species distributions were better explained by in-stream environmental
and spatial factors than by climatic forcing, but in a highly variable fashion. This
variability was difficult to relate to the taxonomic relatedness among species or
their biological trait similarity. Site occupancy, however, was related to model
performance of the binomial GLMs based on spatial effects: as populations are
likely to be better connected for common species due to their near ubiquity, spatial
factors may also explain better their distributions.
4. According to the classical four-perspective framework, the observation of both
environmental and spatial effects suggests a role for either mass effects or species
sorting constrained by dispersal limitation, or both. Taxonomic and biological
traits, including the different dispersal capability of species, were scarcely important,
which undermines the patch dynamics perspective, based on differences in
dispersal ability between species. The highly variable performance of models
makes the reliance on an entirely neutral framework unrealistic as well. According
to the three-component framework, our results suggest that the stream
insect metacommunity is shaped by the effect of habitat heterogeneity (supporting
both species-sorting and mass effects), rather than species equivalence or
dispersal limitation.5. While the relative importance of the source-sink dynamics perspective or the
species-sorting paradigm cannot be deciphered with the data at our disposal, we
can conclude that habitat heterogeneity is an important driver shaping species
distributions and insect assemblages in subarctic stream metacommunities. These
results exemplify that the use of the three-component metacommunity framework
may be more useful than the classical four perspective paradigm in analysing
metacommunities. Our findings also provide support for conservation
strategies based on the preservation of heterogeneous habitats in a metacommunity
context.
2017-09-29T10:53:43Z
2017-09-29T10:53:43Z
2018
artículo
Freshwater Biology 63 : 33-47 (2018)
0046-5070
http://hdl.handle.net/10261/155873
10.1111/fwb.12993
eng
http://dx.doi.org/10.1111/fwb.12993
Sí
closedAccess
Blackwell Publishing