scholarly journals Incorporating biotic interactions in the distribution models of African wild silk moths (Gonometaspecies, Lasiocampidae) using different representations of modelled host tree distributions

2017 ◽  
Vol 43 (3) ◽  
pp. 316-327 ◽  
Author(s):  
Morgan Jade Raath ◽  
Peter Christiaan le Roux ◽  
Ruan Veldtman ◽  
Michelle Greve
Keyword(s):  
Biotic Interactions ◽  
Host Tree ◽  
Distribution Models ◽  
Tree Distributions

scholarly journals Accounting for biotic interactions through alpha‐diversity constraints in stacked species distribution models

2017 ◽  
Vol 8 (9) ◽  
pp. 1092-1102 ◽  
Author(s):  
Yoni Gavish ◽  
Charles J. Marsh ◽  
Mathias Kuemmerlen ◽  
Stefan Stoll ◽  
Peter Haase ◽  
...  
Keyword(s):  
Species Distribution ◽  
Species Distribution Models ◽  
Biotic Interactions ◽  
Alpha Diversity ◽  
Distribution Models

scholarly journals A framework to bridge scales in distribution modeling of soil microbiota

2020 ◽  
Vol 96 (5) ◽  
Author(s):  
Jonas J Lembrechts ◽  
L Broeders ◽  
J De Gruyter ◽  
D Radujković ◽  
I Ramirez-Rojas ◽  
...  
Keyword(s):  
Environmental Gradients ◽  
Spatial Scales ◽  
Biotic Interactions ◽  
Environmental Niche ◽  
Distribution Models ◽  
Soil Microbiota ◽  
Soil Microbial ◽  
Critical Issues ◽  
Multiple Species ◽  
Species Specific

ABSTRACT Creating accurate habitat suitability and distribution models (HSDMs) for soil microbiota is far more challenging than for aboveground organism groups. In this perspective paper, we propose a conceptual framework that addresses several of the critical issues holding back further applications. Most importantly, we tackle the mismatch between the broadscale, long-term averages of environmental variables traditionally used, and the environment as experienced by soil microbiota themselves. We suggest using nested sampling designs across environmental gradients and objectively integrating spatially hierarchic heterogeneity as covariates in HSDMs. Second, to incorporate the crucial role of taxa co-occurrence as driver of soil microbial distributions, we promote the use of joint species distribution models, a class of models that jointly analyze multiple species’ distributions, quantifying both species-specific environmental responses (i.e. the environmental niche) and covariance among species (i.e. biotic interactions). Our approach allows incorporating the environmental niche and its associated distribution across multiple spatial scales. The proposed framework facilitates the inclusion of the true relationships between soil organisms and their abiotic and biotic environments in distribution models, which is crucial to improve predictions of soil microbial redistributions as a result of global change.

scholarly journals Evidence for large-scale effects of competition: niche displacement in Canada lynx and bobcat

2013 ◽  
Vol 280 (1773) ◽  
pp. 20132495 ◽  
Author(s):  
Michael J. L. Peers ◽  
Daniel H. Thornton ◽  
Dennis L. Murray
Keyword(s):  
Large Scale ◽  
Scale Effects ◽  
Spatial Scales ◽  
Biotic Interactions ◽  
Character Displacement ◽  
Lynx Rufus ◽  
Ecological Communities ◽  
Lynx Canadensis ◽  
Distribution Models ◽  
Canada Lynx

Determining the patterns, causes and consequences of character displacement is central to our understanding of competition in ecological communities. However, the majority of competition research has occurred over small spatial extents or focused on fine-scale differences in morphology or behaviour. The effects of competition on broad-scale distribution and niche characteristics of species remain poorly understood but critically important. Using range-wide species distribution models, we evaluated whether Canada lynx ( Lynx canadensis ) or bobcat ( Lynx rufus ) were displaced in regions of sympatry. Consistent with our prediction, we found that lynx niches were less similar to those of bobcat in areas of sympatry versus allopatry, with a stronger reliance on snow cover driving lynx niche divergence in the sympatric zone. By contrast, bobcat increased niche breadth in zones of sympatry, and bobcat niches were equally similar to those of lynx in zones of sympatry and allopatry. These findings suggest that competitively disadvantaged species avoid competition at large scales by restricting their niche to highly suitable conditions, while superior competitors expand the diversity of environments used. Our results indicate that competition can manifest within climatic niche space across species’ ranges, highlighting the importance of biotic interactions occurring at large spatial scales on niche dynamics.

scholarly journals Improving species distribution models using biotic interactions: a case study of parasites, pollinators and plants

Ecography ◽  
2012 ◽  
Vol 36 (6) ◽  
pp. 649-656 ◽  
Author(s):  
Tereza Cristina Giannini ◽  
Daniel S. Chapman ◽  
Antonio Mauro Saraiva ◽  
Isabel Alves-dos-Santos ◽  
Jacobus C. Biesmeijer
Keyword(s):  
Species Distribution ◽  
Species Distribution Models ◽  
Biotic Interactions ◽  
Distribution Models

scholarly journals Co-occurrence variation explains the low host dependence of ambrosia beetles along altitude gradients in SW China

2021 ◽  
Author(s):  
Fang Luo ◽  
LINGZENG MENG ◽  
Jian Wang ◽  
Yan-Hong Liu
Keyword(s):  
Temporal Dynamics ◽  
Hierarchical Modeling ◽  
Species Turnover ◽  
Regional Scale ◽  
Biotic Interactions ◽  
Ambrosia Beetle ◽  
Minor Role ◽  
Climatic Gradient ◽  
Distribution Models ◽  
Ambrosia Beetles

Abstract Background Separation of biotic and abiotic impacts on species diversity distribution patterns across a significant climatic gradient is a challenge in the study of diversity maintenance mechanisms. The basic task is to reconcile scale-dependent effects of abiotic and biotic processes on species distribution models. However, Eltonian noise hypothesis predicted that the effects of biotic interactions will be averaged out at macroscales, and there are many empirical observations that biotic interactions would constrain species distributions at micro-ecological scales. Here, we used a hierarchical modeling method to detect the host specificities of ambrosia beetles (Scolytinae and Platypodinae) with their dependent tree communities across a steep climatic gradient, which was embedded within a relatively homogenous spatial niche. Results Species turnover of both trees and ambrosia beetles have a relatively similar pattern, characterized by the climatic proxy at a regional scale, but not at local scales. This pattern confirmed the Eltonian noise hypothesis wherein emphasis was on influences of macro-climate on local biotic interactions between trees and hosted ambrosia beetle communities, whereas local biotic relations, represented by host specificity dependence, were regionally conserved. Conclusions At a confined spatial scale, cross-taxa comparisons of co-occurrence highlighted the importance of the organism’s dispersal. The effects of tree abundance and phylogeny diversity on ambrosia beetle diversity were, to a large extent, indirect, operating via changes in ambrosia beetle abundance through spatial and temporal dynamics of resources distribution. Tree host dependence plays a minor role on the hosted ambrosia beetle community in this concealed wood decomposing interacting system.

scholarly journals The Influence of the Interaction between Climate and Competition on the Distributional Limits of European Shrews

Animals ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 57
Author(s):  
Tomé Neves ◽  
Luís Borda-de-Água ◽  
Maria da Luz Mathias ◽  
Joaquim T. Tapisso
Keyword(s):  
Species Distribution ◽  
Ecological Factors ◽  
Biotic Interactions ◽  
Species Distributions ◽  
Climate Data ◽  
Distribution Models ◽  
Presence Data ◽  
Geographical Scale ◽  
The Impact ◽  
Distributional Limits

It is known that species’ distributions are influenced by several ecological factors. Nonetheless, the geographical scale upon which the influence of these factors is perceived is largely undefined. We assessed the importance of competition in regulating the distributional limits of species at large geographical scales. We focus on species with similar diets, the European Soricidae shrews, and how interspecific competition changes along climatic gradients. We used presence data for the seven most widespread terrestrial species of Soricidae in Europe, gathered from GBIF, European museums, and climate data from WorldClim. We made use of two Joint Species Distribution Models to analyse the correlations between species’ presences, aiming to understand the distinct roles of climate and competition in shaping species’ distributions. Our results support three key conclusions: (i) climate alone does not explain all species’ distributions at large scales; (ii) negative interactions, such as competition, seem to play a strong role in defining species’ range limits, even at large scales; and (iii) the impact of competition on a species’ distribution varies along a climatic gradient, becoming stronger at the climatic extremes. Our conclusions support previous research, highlighting the importance of considering biotic interactions when studying species’ distributions, regardless of geographical scale.

scholarly journals Random forests to evaluate biotic interactions in fish distribution models

2015 ◽  
Vol 67 ◽  
pp. 173-183 ◽  
Author(s):  
P. Vezza ◽  
R. Muñoz-Mas ◽  
F. Martinez-Capel ◽  
A. Mouton
Keyword(s):  
Random Forests ◽  
Biotic Interactions ◽  
Fish Distribution ◽  
Distribution Models
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