scholarly journals Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities

Ecography ◽  
2016 ◽  
Vol 40 (2) ◽  
pp. 281-295 ◽  
Author(s):  
Gurutzeta Guillera-Arroita
Keyword(s):  
Species Distributions ◽  
Imperfect Detection ◽  
Challenges And Opportunities ◽  
Range Dynamics

scholarly journals How interactions between animal movement and landscape processes modify local range dynamics and extinction risk

2014 ◽  
Vol 10 (5) ◽  
pp. 20140198 ◽  
Author(s):  
Damien A. Fordham ◽  
Kevin T. Shoemaker ◽  
Nathan H. Schumaker ◽  
H. Reşit Akçakaya ◽  
Nathan Clisby ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Landscape Structure ◽  
Animal Movement ◽  
Extinction Risk ◽  
Species Distributions ◽  
Turtle Species ◽  
Novel Approach ◽  
Range Dynamics ◽  
The Individual ◽  
Local Range

Forecasts of range dynamics now incorporate many of the mechanisms and interactions that drive species distributions. However, connectivity continues to be simulated using overly simple distance-based dispersal models with little consideration of how the individual behaviour of dispersing organisms interacts with landscape structure (functional connectivity). Here, we link an individual-based model to a niche-population model to test the implications of this omission. We apply this novel approach to a turtle species inhabiting wetlands which are patchily distributed across a tropical savannah, and whose persistence is threatened by two important synergistic drivers of global change: predation by invasive species and overexploitation. We show that projections of local range dynamics in this study system change substantially when functional connectivity is modelled explicitly. Accounting for functional connectivity in model simulations causes the estimate of extinction risk to increase, and predictions of range contraction to slow. We conclude that models of range dynamics that simulate functional connectivity can reduce an important source of bias in predictions of shifts in species distributions and abundances, especially for organisms whose dispersal behaviours are strongly affected by landscape structure.

scholarly journals Climate and the range dynamics of species with imperfect detection

2008 ◽  
Vol 4 (5) ◽  
pp. 581-584 ◽  
Author(s):  
Res Altwegg ◽  
Marius Wheeler ◽  
Birgit Erni
Keyword(s):  
South African ◽  
Local Extinction ◽  
Occupancy Models ◽  
Imperfect Detection ◽  
Local Climate ◽  
Additional Tool ◽  
Detection Probabilities ◽  
Range Dynamics ◽  
A Site ◽  
Bostrychia Hagedash

Reliable predictions for species range changes require a mechanistic understanding of range dynamics in relation to environmental variation. One obstacle is that most current models are static and confound occurrence with the probability of detecting a species if it occurs at a site. Here we draw attention to recently developed occupancy models, which can be used to examine colonization and local extinction or changes in occupancy over time. These models further account for detection probabilities, which are likely to vary spatially and temporally in many datasets. Occupancy models require repeated presence/absence surveys, for example checklists used in bird atlas projects. As an example, we examine the recent range expansion of hadeda ibises ( Bostrychia hagedash ) in South African protected areas. Colonization exceeded local extinction in most biomes, and the probability of occurrence was related to local climate. Extensions of the basic occupancy models can estimate abundance or species richness. Occupancy models are an appealing additional tool for studying species' responses to global change.

scholarly journals Estimating spatially and temporally complex range dynamics when detection is imperfect

2019 ◽  
Author(s):  
Clark S. Rushing ◽  
J. Andrew Royle ◽  
David J. Ziolkowski ◽  
Keith L. Pardieck
Keyword(s):  
North American ◽  
Anthropogenic Activities ◽  
Spatial Scales ◽  
Abiotic Factors ◽  
Additive Model ◽  
Species Distributions ◽  
Spatial And Temporal Patterns ◽  
Distribution Models ◽  
Distribution Maps ◽  
Range Dynamics

AbstractSpecies distributions are determined by the interaction of multiple biotic and abiotic factors, which produces complex spatial and temporal patterns of occurrence. As habitats and climate change due to anthropogenic activities, there is a need to develop species distribution models that can quantify these complex range dynamics. In this paper, we develop a dynamic occupancy model that uses a spatial generalized additive model to estimate non-linear spatial variation in occupancy not accounted for by environmental covariates. The model is flexible and can accommodate data from a range of sampling designs that provide information about both occupancy and detection probability. Output from the model can be used to create distribution maps and to estimate indices of temporal range dynamics. We demonstrate the utility of this approach by modeling long-term range dynamics of 10 eastern North American birds using data from the North American Breeding Bird Survey. We anticipate this framework will be particularly useful for modeling species’ distributions over large spatial scales and for quantifying range dynamics over long temporal scales.

scholarly journals Challenges and opportunities of species distribution modelling of terrestrial arthropod predators

2020 ◽  
Author(s):  
Stefano Mammola ◽  
Julien Pétillon ◽  
Axel Hacala ◽  
Sapho-Lou Marti ◽  
Jérémy Monsimet ◽  
...  
Keyword(s):  
Species Distribution ◽  
Species Distributions ◽  
Species Distribution Modelling ◽  
Generalist Predators ◽  
Distribution Models ◽  
Distribution Modelling ◽  
Arthropod Predators ◽  
Data Limitations ◽  
Challenges And Opportunities ◽  
Small Models

Species distribution models (SDMs) are emerging as essential tools in the equipment of many ecologists; they are useful in exploring species distributions in space and time and in answering an assortment of questions related to historical biogeography, climate change biology and conservation biology. Given that arthropod distributions are strongly influenced by microclimatic conditions and microhabitat structure, they should be an ideal candidate group for SDM research, especially generalist predators because they are not directly dependent on vegetation or prey types. However, most SDM studies of animals to date have focused either on broad samples of vertebrates or on arthropod species that are charismatic (e.g. butterflies) or economically important (e.g. vectors of disease, crop pests and pollinators). By means of a systematic bibliometric approach, we targeted the literature published on key terrestrial arthropod predators (ants, ground beetles and spiders), chosen as a model to explore challenges and opportunities of species distribution modelling in mega-diverse arthropod groups. We show that the use of SDMs to map the geography of terrestrial arthropod predators has been a recent phenomenon, with a near-exponential growth in the number of studies over the past 10 years and still limited collaborative networks among researchers. There is a bias in studies towards charismatic species and geographical areas that hold lower levels of diversity but greater availability of data, such as Europe and North America. To overcome some of these data limitations, we illustrate the potential of modern data sources (citizen science programmes, online databases) and new modelling approaches (ensemble of small models, modelling above the species level). Finally, we discuss areas of research where SDMs may be combined with dispersal models and increasingly available phylogenetic and functional data to obtain mechanistic descriptions of species distributions and their spatio-temporal shifts within a global change perspective.

Continuous hydrogenolysis of acetal-stabilized lignin in flow

2021 ◽  
Author(s):  
Wu Lan ◽  
Yuan Peng Du ◽  
Songlan Sun ◽  
Jean Behaghel de Bueren ◽  
Florent Héroguel ◽  
...  
Keyword(s):  
Steady State ◽  
Challenges And Opportunities

We performed a steady state high-yielding depolymerization of soluble acetal-stabilized lignin in flow, which offered a window into challenges and opportunities that will be faced when continuously processing this feedstock.

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