Research graph
References from Efficient sampling designs to assess biodiversity spatial autocorrelation: should we go fractal?. Local targets link to admitted publications; unresolved targets remain external evidence.
Fisher information and maximum-likelihood estimation of covariance parameters in Gaussian stochastic processes
10.2307/3315678 · 1998 · External reference
Sampling in ecology and evolution - bridging the gap between theory and practice
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Valid auto-models for spatially autocorrelated occupancy and abundance data
10.1111/2041-210x.12402 · 2015 · External reference
Designing a benthic monitoring programme with multiple conflicting objectives
10.1111/j.2041-210x.2012.00192.x · 2012 · External reference
Using Moment Equations to Understand Stochastically Driven Spatial Pattern Formation in Ecological Systems
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Spatial autocorrelation patterns of stream invertebrates: exogenous and endogenous factors
10.1111/j.1365-2699.2011.02562.x · 2011 · External reference
The incidence function approach to modeling of metapopula- tion dynamics
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Methods to account for spatial autocorrelation in the analysis of species distributional data: a review
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Gene Dispersal and Spatial Genetic Structure
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A large-scale forest fragmentation experiment: the Stability of Altered Forest Ecosystems Project
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Measuring Spatial Aggregation in Binary Epidemics: Correlative Analysis and the Advantage of Fractal-Based Sampling
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Spatial species-richness gradients across scales: a meta-analysis
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Spatial patterns and autocorrelation challenges in ecological conservation
10.24072/pci.ecology.100536 · 2024 · External reference
Integrating gradient with scale in ecological and evolutionary studies
10.1002/ecy.3982 · 2023 · External reference
Optimal spatio-temporal hybrid sampling designs for ecological monitoring
10.1111/j.1654-1103.2009.01040.x · 2009 · External reference
Epiphyte metapopulation dynamics are explained by species traits, connectivity, and patch dynamics
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Causal assumptions and causal inference in ecological experiments
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Statistics and partitioning of species diversity, and similarity among multiple communities
10.2307/3545743 · 1996 · External reference
Code used to generate and compare sampling design estimation error on effects and autocorrelation range in Laroche (2023)
10.5281/zenodo.10245301 · 2023 · External reference
Appendix to "Efficient sampling designs to assess biodiversity spatial autocorrelation: should we go fractal?"
10.5281/zenodo.13332358 · 2024 · External reference
Spatial Autocorrelation: Trouble or New Paradigm?
10.2307/1939924 · 1993 · External reference
Red‐shifts and red herrings in geographical ecology
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Unresolved reference
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Ten years of landscape genetics
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A fractal-based sampling design for ecological surveys quantifying beta-diversity
10.1111/j.2041-210x.2012.00256.x · 2013 · External reference
Towards a unification of unified theories of biodiversity
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Unresolved reference
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Optimal design for detecting dependencies with an application in spatial ecology
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Population genetics, molecular markers and the study of dispersal in plants
10.1046/j.1365-2745.1999.00389.x · 1999 · External reference
Spatially balanced sampling methods are always more precise than random ones for estimating the size of aggregated populations
10.1111/2041-210x.14015 · 2022 · External reference
An evaluation of patch connectivity measures
10.1890/08-1524.1 · 2009 · External reference
Unresolved reference
2023 · External reference
A comparison of patch connectivity measures using data on invertebrates in hollow oaks
10.1111/j.1600-0587.2009.06363.x · 2010 · External reference
Monitoring temporal trends in spatially structured populations: how should sampling effort be allocated between space and time?
10.1111/j.1600-0587.2011.06370.x · 2011 · External reference
Disintegration of the ecological community
10.1086/593002 · 2008 · External reference
Fractal triads efficiently sample ecological diversity and processes across spatial scales
10.1111/oik.08272 · 2021 · External reference
Spatial autocorrelation in biology: 1. Methodology
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Efficiency of spatial sampling designs in estimating abundance and species richness of carabids at the landscape level
10.1007/s10980-023-01605-1 · 2023 · External reference
From species distributions to meta-communities
10.1111/ele.12526 · 2015 · External reference
On the usage and measurement of landscape connectivity
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New insights from fine-scale spatial genetic structure analyses in plant populations
10.1046/j.1365-294x.2004.02076.x · 2004 · External reference
Spatial sampling design for parameter estimation of the covariance function
10.1016/j.jspi.2004.04.017 · 2005 · External reference
The virtual ecologist approach: simulating data and observers
10.1111/j.1600-0706.2009.18284.x · 2010 · External reference
