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Integrating data from different taxonomic resolutions to better estimate community alpha diversity.
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- Ecography, 2024, v. 2024, n. 5, p. 1, doi. 10.1111/ecog.07182
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- Article
Spatio‐temporal integrated Bayesian species distribution models reveal lack of broad relationships between traits and range shifts.
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- Global Ecology & Biogeography, 2024, v. 33, n. 5, p. 1, doi. 10.1111/geb.13819
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Predicting niche overlap with model‐based ordination.
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- Ecography, 2024, v. 2024, n. 4, p. 1, doi. 10.1111/ecog.06938
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Integrated species distribution models fitted in INLA are sensitive to mesh parameterisation.
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- Ecography, 2023, v. 2023, n. 7, p. 1, doi. 10.1111/ecog.06391
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PointedSDMs: An R package to help facilitate the construction of integrated species distribution models.
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- Methods in Ecology & Evolution, 2023, v. 14, n. 5, p. 1200, doi. 10.1111/2041-210X.14091
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Concurrent ordination: Simultaneous unconstrained and constrained latent variable modelling.
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- Methods in Ecology & Evolution, 2023, v. 14, n. 2, p. 683, doi. 10.1111/2041-210X.14035
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An open future for MEE.
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- Methods in Ecology & Evolution, 2022, v. 13, n. 7, p. 1372, doi. 10.1111/2041-210X.13911
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Integrated modeling of waterfowl distribution in western Canada using aerial survey and citizen science (eBird) data.
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- Ecosphere, 2021, v. 12, n. 10, p. 1, doi. 10.1002/ecs2.3790
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Nonparametric analysis of inter‐individual relations using an attention‐based neural network.
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- Methods in Ecology & Evolution, 2021, v. 12, n. 8, p. 1425, doi. 10.1111/2041-210X.13613
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Model‐based ordination for species with unequal niche widths.
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- Methods in Ecology & Evolution, 2021, v. 12, n. 7, p. 1288, doi. 10.1111/2041-210X.13595
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- Article
Identifying flow modules in ecological networks using Infomap.
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- Methods in Ecology & Evolution, 2021, v. 12, n. 5, p. 778, doi. 10.1111/2041-210X.13569
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Jointly estimating spatial sampling effort and habitat suitability for multiple species from opportunistic presence‐only data.
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- Methods in Ecology & Evolution, 2021, v. 12, n. 5, p. 933, doi. 10.1111/2041-210X.13565
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The consequences of checking for zero‐inflation and overdispersion in the analysis of count data.
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- Methods in Ecology & Evolution, 2021, v. 12, n. 4, p. 665, doi. 10.1111/2041-210X.13559
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How to choose a cost‐effective indicator to trigger conservation decisions?
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- Methods in Ecology & Evolution, 2021, v. 12, n. 3, p. 520, doi. 10.1111/2041-210X.13532
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- Article
Hierarchical computing for hierarchical models in ecology.
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- Methods in Ecology & Evolution, 2021, v. 12, n. 2, p. 245, doi. 10.1111/2041-210X.13513
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Scenarios for valuing sample information in natural resources.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 12, p. 1534, doi. 10.1111/2041-210X.13487
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Multi‐output Gaussian processes for species distribution modelling.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 12, p. 1587, doi. 10.1111/2041-210X.13496
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Seek and learn: Automated identification of microevents in animal behaviour using envelopes of acceleration data and machine learning.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 12, p. 1639, doi. 10.1111/2041-210X.13491
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Is more data always better? A simulation study of benefits and limitations of integrated distribution models.
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- Ecography, 2020, v. 43, n. 10, p. 1413, doi. 10.1111/ecog.05146
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Comparing traditional and Bayesian approaches to ecological meta‐analysis.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 10, p. 1286, doi. 10.1111/2041-210X.13445
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msocc : Fit and analyse computationally efficient multi‐scale occupancy models in r.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 9, p. 1113, doi. 10.1111/2041-210X.13442
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The use of Bayesian priors in Ecology: The good, the bad and the not great.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 8, p. 882, doi. 10.1111/2041-210X.13407
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Count transformation models.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 7, p. 818, doi. 10.1111/2041-210X.13383
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viewshed3d: An r package for quantifying 3D visibility using terrestrial lidar data.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 6, p. 733, doi. 10.1111/2041-210X.13385
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Camera transects as a method to monitor high temporal and spatial ephemerality of flying nocturnal insects.
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- Methods in Ecology & Evolution, 2020, v. 11, n. 2, p. 294, doi. 10.1111/2041-210X.13339
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How to evaluate community predictions without thresholding?
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- Methods in Ecology & Evolution, 2020, v. 11, n. 1, p. 51, doi. 10.1111/2041-210X.13312
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Combining multiple data sources in species distribution models while accounting for spatial dependence and overfitting with combined penalized likelihood maximization.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 12, p. 2118, doi. 10.1111/2041-210X.13297
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Double quantile regression accurately assesses distance to boundary trade‐offs.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 8, p. 1322, doi. 10.1111/2041-210X.13193
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Causal analysis in control–impact ecological studies with observational data.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 7, p. 924, doi. 10.1111/2041-210X.13190
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What does a zero mean? Understanding false, random and structural zeros in ecology.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 7, p. 949, doi. 10.1111/2041-210X.13185
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pavo 2 : New tools for the spectral and spatial analysis of colour in r.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 7, p. 1097, doi. 10.1111/2041-210X.13174
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I can see clearly now: Reinterpreting statistical significance.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 6, p. 756, doi. 10.1111/2041-210X.13159
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A novel biomechanical approach for animal behaviour recognition using accelerometers.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 6, p. 802, doi. 10.1111/2041-210X.13172
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Regularized S‐map for inference and forecasting with noisy ecological time series.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 5, p. 650, doi. 10.1111/2041-210X.13150
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Past, present and future approaches using computer vision for animal re‐identification from camera trap data.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 4, p. 461, doi. 10.1111/2041-210X.13133
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Modelling seasonal dynamics, population stability, and pest control in Aedes japonicus japonicus (Diptera: Culicidae).
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- Parasites & Vectors, 2019, v. 12, n. 1, p. N.PAG, doi. 10.1186/s13071-019-3366-2
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A multistate dynamic occupancy model to estimate local colonization–extinction rates and patterns of co‐occurrence between two or more interacting species.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 2, p. 233, doi. 10.1111/2041-210X.13117
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Advances in modelling demographic processes: The Euring 2017 Analytical Meeting.
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- Methods in Ecology & Evolution, 2019, v. 10, n. 1, p. 4, doi. 10.1111/2041-210X.13127
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Disentangling synergistic disease dynamics: Implications for the viral biocontrol of rabbits.
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- Journal of Animal Ecology, 2018, v. 87, n. 5, p. 1418, doi. 10.1111/1365-2656.12871
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Disentangling the effects of multiple environmental drivers on population changes within communities.
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- Journal of Animal Ecology, 2018, v. 87, n. 4, p. 1034, doi. 10.1111/1365-2656.12829
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Uncovering the drivers of host‐associated microbiota with joint species distribution modelling.
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- Molecular Ecology, 2018, v. 27, n. 12, p. 2714, doi. 10.1111/mec.14718
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Classifying ecosystems with metaproperties from terrestrial laser scanner data.
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- Methods in Ecology & Evolution, 2018, v. 9, n. 2, p. 210, doi. 10.1111/2041-210X.12854
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Using streamflow observations to estimate the impact of hydrological regimes and anthropogenic water use on European stream macroinvertebrate occurrences.
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- Ecohydrology, 2017, v. 10, n. 8, p. n/a, doi. 10.1002/eco.1895
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'Size' and 'shape' in the measurement of multivariate proximity.
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- Methods in Ecology & Evolution, 2017, v. 8, n. 11, p. 1415, doi. 10.1111/2041-210X.12776
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Bias correction of bounded location errors in presence-only data.
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- Methods in Ecology & Evolution, 2017, v. 8, n. 11, p. 1566, doi. 10.1111/2041-210X.12793
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Technical advances at the interface between ecology and statistics: improving the biodiversity knowledge generation workflow.
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- Methods in Ecology & Evolution, 2017, v. 8, n. 4, p. 396, doi. 10.1111/2041-210X.12762
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Graphical diagnostics for occupancy models with imperfect detection.
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- Methods in Ecology & Evolution, 2017, v. 8, n. 4, p. 408, doi. 10.1111/2041-210X.12761
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EDAPHOLOG monitoring system: automatic, real-time detection of soil microarthropods.
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- Methods in Ecology & Evolution, 2017, v. 8, n. 3, p. 313, doi. 10.1111/2041-210X.12662
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Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo.
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- Methods in Ecology & Evolution, 2017, v. 8, n. 3, p. 339, doi. 10.1111/2041-210X.12681
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Analysis of animal accelerometer data using hidden Markov models.
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- Methods in Ecology & Evolution, 2017, v. 8, n. 2, p. 161, doi. 10.1111/2041-210X.12657
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