scholarly journals The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling

2012 ◽  
Vol 88 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Mary Susanne Wisz ◽  
Julien Pottier ◽  
W. Daniel Kissling ◽  
Loïc Pellissier ◽  
Jonathan Lenoir ◽  
...  
Keyword(s):  
Species Distribution ◽  
Biotic Interactions ◽  
Species Distribution Modelling ◽  
Distribution Modelling

scholarly journals In or Out of the Checklist? DNA Barcoding and Distribution Modelling Unveil a New Species of Crocidura Shrew for Italy

Diversity ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 380
Author(s):  
Emiliano Mori ◽  
Mattia Brambilla ◽  
Fausto Ramazzotti ◽  
Leonardo Ancillotto ◽  
Giuseppe Mazza ◽  
...  
Keyword(s):  
Species Distribution ◽  
Competitive Exclusion ◽  
Species Distribution Modelling ◽  
Skull Morphology ◽  
Distribution Models ◽  
Distribution Modelling ◽  
Italian Regions ◽  
A New Species ◽  
Species Ecology

The genus Crocidura (Eulipotyphla, Soricidae) is the most speciose genus amongst mammals, i.e., it includes the highest number of species. Different species are distinguished by skull morphology, which often prevents the identification of individuals in the field and limits research on these species’ ecology and biology. We combined species distribution models and molecular analyses to assess the distribution of cryptic Crocidura shrews in Italy, confirming the occurrence of the greater white-toothed shrew Crocidura russula in the northwest of the country. The molecular identification ascertained the species’ presence in two distinct Italian regions. Accordingly, species distribution modelling highlighted the occurrence of areas suitable for C. russula in the westernmost part of northern Italy. Our results confirm the role of Italy as a mammal hotspot in the Mediterranean; additionally, they also show the need to include C. russula in Italian faunal checklists. To conclude, we highlight the usefulness of combining different approaches to explore the presence of cryptic species outside their known ranges. Since the similar, smaller C. suaveolens may be displaced by the larger C. russula through competitive exclusion, the latter might be the species actually present where C. suaveolens had been reported previously. A comprehensive and detailed survey is therefore required to assess the current distribution of these species.

scholarly journals Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions

2018 ◽  
Vol 27 (9) ◽  
pp. 1004-1016 ◽  
Author(s):  
Carsten F. Dormann ◽  
Maria Bobrowski ◽  
D. Matthias Dehling ◽  
David J. Harris ◽  
Florian Hartig ◽  
...  
Keyword(s):  
Species Distribution ◽  
Biotic Interactions ◽  
Species Distribution Modelling ◽  
Distribution Modelling

scholarly journals Biotic interactions and climate in species distribution modelling

2019 ◽  
Author(s):  
Daniel P. Bebber ◽  
Sarah J. Gurr
Keyword(s):  
Climate Change ◽  
Species Distribution ◽  
Climatic Factors ◽  
Global Climate ◽  
Biotic Interactions ◽  
Global Scale ◽  
Species Distribution Modelling ◽  
Distribution Modelling ◽  
Host Preferences ◽  
Migration Rates

SummarySpecies have preferred environmental niches 1 and their geographical distributions respond to global climate change 2. Predicting range shifts under climate change has profound implications for conservation of biodiversity 3, provision of ecosystem services, and in the management of invasive species 4. Species distribution modelling (SDM) has largely focussed on climate variations, but biotic interactions, such as predation and competition, can alter potential distributions 5,6 and affect migration rates 7. However, a lack of data on biotic interactions has restricted consideration of these factors for many species 1. Here, we compare the power of biotic and climatic factors as predictors of global distributions of hundreds of crop pests and pathogens (CPPs), for which host preferences are known. We show that host availability is a more important predictor of endobiotic pathogen distributions (fungi, oomycetes, bacteria, viruses and nematodes) than of epibiotic pest distributions (insect herbivores). Conversely, climatic variables are better predictors of epibiotic pest distributions. These results are robust to statistical controls for varying observational capacity among countries. Our findings demonstrate that life history affects global scale species distributions and that SDM should incorporate biotic interactions as well as climate.

scholarly journals Using species distribution modelling to determine opportunities for trophic rewilding under future scenarios of climate change

2018 ◽  
Vol 373 (1761) ◽  
pp. 20170446 ◽  
Author(s):  
Scott Jarvie ◽  
Jens-Christian Svenning
Keyword(s):  
Climate Change ◽  
Species Distribution ◽  
Species Distribution Modelling ◽  
Climatic Conditions ◽  
First Century ◽  
Distribution Models ◽  
Distribution Modelling ◽  
Major Barrier ◽  
Methodological Choices ◽  
Biodiversity And Ecosystem Function

Trophic rewilding, the (re)introduction of species to promote self-regulating biodiverse ecosystems, is a future-oriented approach to ecological restoration. In the twenty-first century and beyond, human-mediated climate change looms as a major threat to global biodiversity and ecosystem function. A critical aspect in planning trophic rewilding projects is the selection of suitable sites that match the needs of the focal species under both current and future climates. Species distribution models (SDMs) are currently the main tools to derive spatially explicit predictions of environmental suitability for species, but the extent of their adoption for trophic rewilding projects has been limited. Here, we provide an overview of applications of SDMs to trophic rewilding projects, outline methodological choices and issues, and provide a synthesis and outlook. We then predict the potential distribution of 17 large-bodied taxa proposed as trophic rewilding candidates and which represent different continents and habitats. We identified widespread climatic suitability for these species in the discussed (re)introduction regions under current climates. Climatic conditions generally remain suitable in the future, although some species will experience reduced suitability in parts of these regions. We conclude that climate change is not a major barrier to trophic rewilding as currently discussed in the literature.This article is part of the theme issue ‘Trophic rewilding: consequences for ecosystems under global change’.

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