Delineating probabilistic species pools in ecology and biogeography
Karger, Dirk Nikolaus
Cord, Anna F.
Sarmento Cabral, Juliano
Smith, Adam B.
- Publisher: Wiley-Blackwell Publishing, Inc.
Gamma diversity | Biodiversity; community assembly; community composition; gamma diversity; local species pool; probabilities; regional species pool; spatial scale; species distribution modelling; species richness | Biodiversity | 580 Plants (Botany) | Zurich-Basel Plant Science Center | Spatial scale | Species richness | Regional species pool | Department of Systematic and Evolutionary Botany | Local species pool | Community composition | Probabilities | Species distribution modelling | Biodiversity;community assembly;community composition;gamma diversity;local species pool;probabilities;regional species pool;spatial scale;species distribution modelling;species richness | Community assembly
Aim To provide a mechanistic and probabilistic framework for defining the
species pool based on species-specific probabilities of dispersal, environmental
suitability and biotic interactions within a specific temporal extent, and to show
how probabilistic species pools can help disentangle the geographical structure of
different community assembly processes.
Innovation Probabilistic species pools provide an improved species pool definition
based on probabilities in conjunction with the associated species list, which
explicitly recognize the indeterminate nature of species pool membership for a
given focal unit of interest and better capture real-world complexity. Probabilistic
species pools provide a quantitative assessment of how dispersal, environmental or
biotic factors influence estimates of species pool composition and size for a given
Conclusions Based on one simulated and two empirical examples we demonstrate
that probabilistic species pools allow us to disentangle the geographical
variation in dispersal, environmental and biotic assembly processes for species
assemblages in focal units. We also show that probabilistic species pools are fully
compatible with traditional definitions of species pools and are applicable over a
wide range of spatial and temporal extents. Additionally they are robust to missing
data and provide a quantified and transparent approach to estimating the size and
composition of species pools in a mechanistic way, providing a valuable tool for
studies from community ecology to macroecology.