A wavelet‐based approach to evaluate the roles of structural and functional landscape heterogeneity in animal space use at multiple scales

Ye, Xinping; Wang, Zhihui; Fortin, Daniel; Bastille‐Rousseau, Guillaume; Parrott, Lael

doi:10.1111/ecog.00812

Cited by 10 publications

(15 citation statements)

References 52 publications

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“…To identify and characterize the temporal structure emerging from the RPS game, we perform a wavelet analysis using “Morlet” wavelet 48 , 49 . Wavelet analysis has multiple applications in ecology such as studying, interactions between climate change and phenology 50 , switches in biological cycles due to anthropogenic pressures 51 , spatial behaviour and distribution of species 52 – 54 , and various other applications reviewed in 48 . Wavelet analysis detects when information sensu Shannon 55 is present and how this information “travels” across temporal scales 48 , 56 , 57 .…”

Section: Methodsmentioning

confidence: 99%

The roles of plasticity versus dominance in maintaining polymorphism in mating strategies

Moulherat

Chaine

Mangin

et al. 2017

Sci Rep

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Although natural selection is expected to reduce variability, polymorphism is common in nature even under strong selective regimes. Discrete polymorphisms in mating strategies are widespread and offer a good opportunity to understand the genetic processes that allow the maintenance of polymorphism in relatively simple systems. Here we explored the genetic mechanism underlying the expression of discrete mating strategies in the rock-paper-scissors (RPS) game. Heterozygotes carry the genetic information for two different strategies, yet little attention has been devoted to the mechanisms underpinning heterozygote phenotype and its consequences for allele frequency dynamics. We explored the maintenance of polymorphism under 1) genetic dominance or 2) plasticity, as mechanisms driving the expression of alternative strategies in males. We developed an alternative mating strategy model and analysed allele frequency dynamics using time series analyses. Our results show that both genetic mechanisms can maintain polymorphism depending on population demographic characteristics but that plasticity can enhance the likelihood that polymorphism is maintained relative to dominance. Time series analysis on simulation outcomes show that the RPS game is mostly driven by a single strategy, but the importance of this strategy on long term dynamics is stronger when gene expression shows dominance rather than plasticity.

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Section: Methodsmentioning

confidence: 99%

The roles of plasticity versus dominance in maintaining polymorphism in mating strategies

Moulherat

Chaine

Mangin

et al. 2017

Sci Rep

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“…If the wavelet base sufficiently corresponds to an input signal, the WT coefficient at this position is high [82]. The optimal mother wavelet and parameters were selected by comparing the performance of mainstream wavelet families regarding maintaining geometry features of suspected targets in our experimental imagery.…”

Section: Wavelet-based Preclassificationmentioning

confidence: 99%

Automatic Counting of Large Mammals from Very High Resolution Panchromatic Satellite Imagery

2017

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Estimating animal populations by direct counting is an essential component of wildlife conservation and management. However, conventional approaches (i.e., ground survey and aerial survey) have intrinsic constraints. Advances in image data capture and processing provide new opportunities for using applied remote sensing to count animals. Previous studies have demonstrated the feasibility of using very high resolution multispectral satellite images for animal detection, but to date, the practicality of detecting animals from space using panchromatic imagery has not been proven. This study demonstrates that it is possible to detect and count large mammals (e.g., wildebeests and zebras) from a single, very high resolution GeoEye-1 panchromatic image in open savanna. A novel semi-supervised object-based method that combines a wavelet algorithm and a fuzzy neural network was developed. To discern large mammals from their surroundings and discriminate between animals and non-targets, we used the wavelet technique to highlight potential objects. To make full use of geometric attributes, we carefully trained the classifier, using the adaptive-network-based fuzzy inference system. Our proposed method (with an accuracy index of 0.79) significantly outperformed the traditional threshold-based method (with an accuracy index of 0.58) detecting large mammals in open savanna.

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“…Therefore, a wavelet regression can measure how a change in environmental variables at a given resolution (i.e. focus) influences change in the response variable at the same resolution (Ye et al ., ). To illustrate our new up‐scaling method, it is necessary to use data at medium to large extent and fine sample unit because sample unit acts as a preset for the grain (i.e.…”

Section: Introductionmentioning

confidence: 97%

“…Most recently, Ma & Zhang () as well as Ye et al . () followed the idea and performed a regression analysis using 2‐D wavelet transforms to describe scale‐specific patterns. Their results have demonstrated that such regressions are appropriate tools for exploring spatial variations at multiple spatial scales.…”

Section: Introductionmentioning

confidence: 99%

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Assessing relative variable importance across different spatial scales: a two‐dimensional wavelet analysis

Carl

Doktor

Schweiger

et al. 2016

Journal of Biogeography

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Aim Assessing the relationship between a spatial process and environmental variables as a function of spatial scale is a challenging problem. Therefore, there is a need for a valid and reliable tool to examine and evaluate scale dependencies in biogeography, macroecology and other earth sciences.Location Central Europe (latitude 43.99°-54.22°N, longitude 4.79°-15.02°E). MethodsWe present a method for applying two-dimensional wavelet analysis to a generalized linear model. This scale-specific regression is combined with a multimodel inference approach evaluating the relative importance of several environmental variables across different spatial scales. We apply this method to data of climate, topographic and land cover variables to explain variation in annual greening of vegetation (i.e. phenology) in Central Europe.Results Land use is more important to explain the variation in greening than climate at smaller resolution while climate is more important at larger resolution with a shift at c. 1000 km 2 .Main conclusions To the best of our knowledge, this is the first study analysing the scale dependency of an ecosystem process, clearly distinguishing between the different components of scale, namely grain, focus and extent. The obtained results demonstrate that our newly proposed method is particularly suitable for studying scale dependencies of various spatial processes on environmental drivers keeping grain and extent constant and changing focus (i.e. resolution).

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A wavelet‐based approach to evaluate the roles of structural and functional landscape heterogeneity in animal space use at multiple scales

Cited by 10 publications

References 52 publications

The roles of plasticity versus dominance in maintaining polymorphism in mating strategies

The roles of plasticity versus dominance in maintaining polymorphism in mating strategies

Automatic Counting of Large Mammals from Very High Resolution Panchromatic Satellite Imagery

Assessing relative variable importance across different spatial scales: a two‐dimensional wavelet analysis

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