Methods in Ecology and Evolution

Papers
(The TQCC of Methods in Ecology and Evolution is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
887
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Exploring noise, degeneracy and determinism in biological networks with the einet package121
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Empirical dynamic programming for model‐free ecosystem‐based management105
A pluralistic framework for measuring, interpreting and decomposing heterogeneity in meta‐analysis100
Revticulate: An R framework for interaction with RevBayes95
Filtering heart rates using data densities: The boxfilter R package90
How to get the most out of phylogenetic imputation without abusing it90
From anarchy to clarity, data pre‐processing and statistical choices influence quantitative environmental DNA ( eDNA 88
Assimilating ecological theory with empiricism: Using constrained generalized additive models to enhance survival analyses79
A new centrality index designed for multilayer networks76
Toward a unified approach to modelling adaptation among demographers and evolutionary ecologists71
Using cloud radar to investigate the effect of rainfall on migratory insect flight69
AF‐vapeR : A multivariate genome scan for detecting parallel evolution using allele frequency change vectors67
Beneath the buzz: Quantifying nest locations and densities of ground‐nesting wild bees (Hymenoptera: Anthophila)65
OCCUR Shiny application: A user‐friendly guide for curating species occurrence records65
A network theoretic method for the basic reproductive number for infectious diseases64
Incidence‐data‐based species richness estimation via a Beta‐Binomial model62
State‐space models and inference approaches for aquatic animal tracking with passive acoustic telemetry and biologging sensors60
occupancyTuts : Occupancy modelling tutorials with RPresence58
ECOGEN : Bird sounds generation using deep learning54
Exploring congruent diversification histories with flexibility and parsimony54
FlywayNet : A hidden semi‐Markov model for inferring the structure of migratory bird networks from count data53
Not just for programmers: How GitHub can accelerate collaborative and reproducible research in ecology and evolution48
Integrated community occupancy models: A framework to assess occurrence and biodiversity dynamics using multiple data sources45
Nearest neighbour distance matching Leave‐One‐Out Cross‐Validation for map validation45
Individual tree extraction through 3D promptable segmentation networks44
BATScan: A radar classification tool reveals large‐scale bat migration patterns44
Nighthawk : Acoustic monitoring of nocturnal bird migration in the Americas44
Multi‐trait point pattern reconstruction of plant ecosystems44
A general framework for jointly modelling thermal and hydric constraints on developing eggs43
Plant biodiversity assessment through soil eDNA reflects temporal and local diversity43
A systematic method for hypothesis synthesis and conceptual model development41
treetop : A Shiny‐based application and R package for extracting forest information from LiDAR data for ecologists and41
lacunr: Efficient 3D lacunarity for voxelized LiDAR data from forested ecosystems40
Chronospaces: An R package for the statistical exploration of divergence times promotes the assessment of methodological sensitivity39
Integrated movement models for individual tracking and species distribution data38
Gone with the wind: Inferring bird migration with light‐level geolocation, wind and activity measurements36
A 3D modelling approach to measuring structural characteristics of bird nest interiors36
Long‐term automated visual monitoring of Antarctic benthic fauna36
Continuous on‐board behaviour classification using accelerometry: A case study with a new GPS‐3G‐Bluetooth system in Pacific black ducks35
Classifying the activity states of small vertebrates using automated VHF telemetry35
Towards biologically realistic estimates of home range and spatial exposure for colonial animals35
M oon S hine : A software‐hardware system for simulating moonlight ground illuminance and re‐creat35
Benchmarking imputation methods for categorical biological data34
An open future for MEE34
Navigating through space and time: A methodological approach to quantify spatiotemporal connectivity using stream flow data as a case study33
The ecological forecast limit revisited: Potential, absolute and relative system predictability33
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Going beyond richness: Modelling the BEF relationship using species identity, evenness, richness and species interactions via the DImodels R package32
Scalable semantic 3D mapping of coral reefs with deep learning32
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EcoEnsemble: A general framework for combining ecosystem models in R32
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Reflectance spectroscopy allows rapid, accurate and non‐destructive estimates of functional traits from pressed leaves31
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Issues in calibrating models with multiple unbalanced constraints: the significance of systematic model and data errors31
treats: A modular R package for simulating trees and traits30
RFIDeep: Unfolding the potential of deep learning for radio‐frequency identification30
An aquaria set‐up for long‐term, multiple‐stressor research in marine organisms29
Using standardized fish‐specific autonomous reef monitoring structures ( FARMS ) to quantify cryptobenthic fish communities29
Retrodiction of forest demography: Backward simulation with reverse matrix models29
Same data, different results? Machine learning approaches in bioacoustics29
TinyCO 2 : High‐performance, low‐cost CO 29
The Wayqecha Amazon Cloud Curtain Ecosystem Experiment: A new experimental method to manipulate fog water inputs in terrestrial systems28
PicoCam: High‐resolution 3D imaging of live animals and preserved specimens28
qad : An R‐package to detect asymmetric and directed dependence in bivariate samples28
Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data27
The Benthic Underwater Microscope imaging PAM ( BUMP ): A non‐invasive tool for in situ assessment27
A global estimator of C and N isotope baselines for fresh waters26
Existing and emerging uses of drones in restoration ecology26
Sensors versus surveyors: Comparing passive acoustic monitoring, camera trapping and observer‐based monitoring for terrestrial mammals26
Food web reconstruction through phylogenetic transfer of low‐rank network representation26
When to monitor or control: Informed invasive species management using a partially observable Markov decision process ( POMDP ) framework26
Sourcing high tissue quality brains from deceased wild primates with known socio‐ecology26
Measuring understorey vegetation structure using a novel mixed‐reality device26
Parasitic flowering plant collections embody the extended specimen25
Hidden Markov models: Pitfalls and opportunities in ecology25
Handbook of protocols for standardized measurements of floral traits for pollinators in temperate communities25
A Double machine learning trend model for citizen science data24
PleistoDist : A toolbox for visualising and quantifying the effects of Pleistocene sea‐level change on island archipelagos24
Introducing recurrent event analyses to assess species interactions based on camera‐trap data: A comparison with time‐to‐first‐event approaches23
Detecting and reducing heterogeneity of error in acoustic classification23
Accelerating advances in landscape connectivity modelling with the ConScape library23
Automated identification of diverse Neotropical pollen samples using convolutional neural networks23
In situ estimation of active dispersal abilities in reef fish early life stages using tracking technologies22
Use of amino acid isotope analysis to investigate capital versus income breeding strategies in migratory avian species22
Vegetation patterns pinpoint the least resilient dryland sites22
Correction to: Quantifying degradation in animal acoustic signals with the R package baRulho22
A cost‐effective method to passively sample communities at the forest canopy–aerosphere interface21
Limits to ecological forecasting: Estimating uncertainty for critical transitions with deep learning21
The CV is dead, long live the CV !21
Tracking the frequency of phytoplankton clonal lineages using multispectral image flow cytometry and neural networks21
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Generating spatially realistic environmental null models with the shift‐&‐rotate approach helps evaluate false positives in species distribution modelling21
TreeCompR : Tree competition indices for inventory data and 3D point clouds21
Addressing spatial confounding in geostatistical regression models: An R‐ INLA approach21
OpenSoundscape: An open‐source bioacoustics analysis package for Python21
A wireless, remotely operable and easily customizable robotic flower system21
Estimating process‐based model parameters from species distribution data using the evolutionary algorithm CMA‐ES21
The power of forecasts to advance ecological theory21
Writing a massively multi‐authored paper: Overcoming barriers to meaningful authorship for all21
A process approach to quality management doubles NEON sensor data quality21
NAPS : Integrating pose estimation and tag‐based tracking20
Impact of sampling strategy on inference of community assembly processes in phylogenetic island biogeography20
The Latent Dirichlet Allocation model applied to airborne LiDAR data: A case study on mapping forest degradation associated with fragmentation and fi20
poolHelper : An R package to help in designing Pool‐Seq studies20
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Design and performance of an ecosystem‐scale forest soil warming experiment with infrared heater arrays20
starve: An R package for spatio‐temporal analysis of research survey data using nearest‐neighbour Gaussian processes20
Estimating interaction strengths for diverse horizontal systems using performance data19
PhycoCanopy : An R Shiny tool for exploring primary production in macroalgal canopies19
Estimating species misclassification with occupancy dynamics and encounter rates: A semi‐supervised, individual‐level approach19
Synthesizing forecasts to inform decision‐making and advance ecological theory19
ipsecr: An R package for awkward spatial capture–recapture data19
Precise tactile stimulation of worker ants by a robotic manipulator reveals that individual responses are density‐ and context‐dependent19
Reconstructing Langevin systems from high‐ and low‐resolution time series using Euler and Hermite reconstructions19
Guidelines for the prediction of species interactions through binary classification19
How to generate accurate continuous thermal regimes from sparse but regular temperature measurements19
sound C lass : An automatic sound classification tool for biodiversity monitoring using machine learning19
Monitoring fast‐moving animals—Building a customized camera system and evaluation toolset19
DeepDiveR—A software for deep learning estimation of palaeodiversity from fossil occurrences19
tidysdm : Leveraging the flexibility of tidymodels for species distribution modelling in R19
The uniform AUC: Dealing with the representativeness effect in presence–absence models19
Temporal design for aquatic organismal sampling across the National Ecological Observatory Network19
soundscape_IR: A source separation toolbox for exploring acoustic diversity in soundscapes18
Towards scalable insect monitoring: Ultra‐lightweight CNNs as on‐device triggers for insect camera traps18
Practical guidelines and the EMLN R package for handling ecological multilayer networks18
Methods to account for incomplete viewsheds in distance sampling18
Using ensemble methods to improve the robustness of deep learning for image classification in marine environments18
Animal geolocation with convolution algorithms in Julia and R via Wahoo.jl18
aniMotum, an R package for animal movement data: Rapid quality control, behavioural estimation and simulation18
Scalable phylogenetic Gaussian process models improve the detectability of environmental signals on local extinctions for many Red List species18
sabinaNSDM : An R package for spatially nested hierarchical species distribution modelling18
Evo‐Scope : Fully automated assessment of correlated evolution on phylogenetic trees18
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Correction to ‘The Aquatic Metatron: A large‐scale experimental facility to study the combined effects of habitat fragmentation and climate change on aquatic meta‐ecosystems’17
Modelling approaches for meta‐analyses with dependent effect sizes in ecology and evolution: A simulation study17
Including the invisible fraction in whole population studies: A guide to the genetic sampling of unhatched bird eggs17
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Sources of uncertainty in DNA metabarcoding of whole communities: Implications for its use in biomonitoring17
Streamlining analysis methods for large acoustic surveys using automatic detectors with operator validation17
ecochange: An R‐package to derive ecosystem change indicators from freely available earth observation products17
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Introducing the combined atlas framework for large‐scale web‐based data visualization: The GloNAF atlas of plant invasion17
Pitfalls arising from site selection bias in population monitoring defy simple heuristics17
3D photogrammetry as a low‐cost and non‐invasive method for acoustic modelling of animal hearing17
Extending isolation by resistance to predict genetic connectivity16
Quantifying the utilisation of blue, green and brown resources by riparian predators: A combined use of amino acid isotopes and fatty acids16
Improved order selection method for hidden Markov models: A case study with movement data16
Non‐invasive reconstruction of complete mitochondrial genomes from aquatic environmental DNA using PCR‐free long‐read sequencing16
PiCAM : A Raspberry Pi‐based open‐source, low‐power camera system for monitoring plant phenology in Arctic environments16
A GLMM approach for combining multiple relative abundance surfaces16
Advancing aquatic biodiversity assessments of invertebrates using eDNA metabarcoding: A systematic evaluation of primers for marine and freshwater co16
Stable isotope fingerprinting traces essential amino acid assimilation and multichannel feeding in a vertebrate consumer16
Acoustic and archival technologies join forces: A combination tag16
A conceptual framework for host‐associated microbiomes of hybrid organisms16
Long‐term collar deployment leads to bias in soil respiration measurements16
The use of weighted averages of Hedges' d in meta‐analysis: Is it worth it?15
A low‐cost IoT network to monitor microclimate variables in ecosystems15
Real‐time alerts from AI‐enabled camera traps using the Iridium satellite network: A case‐study in Gabon, Central Africa15
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rphylopic: An R package for fetching, transforming, and visualising PhyloPic silhouettes15
Population assignment from genotype likelihoods for low‐coverage whole‐genome sequencing data15
CaptuRING: A do‐it‐yourself tool for wood sample digitization15
Correction to ‘PhyBaSE: A Bayesian structural equation model approach to causal inference in phylogenetic comparative analyses’15
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Hard tissue thin‐sectioning techniques in vertebrate paleohistology: Review, synthesis and improvements15
Studying collective animal behaviour with drones and computer vision15
A framework for post‐processing bird tracks from automated tracking radar systems15
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HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs15
Quantifying macro‐evolutionary patterns of trait mean and variance with phylogenetic location–scale models14
Regional ecological forecasting across scales: A manifesto for a biodiversity hotspot14
isotracer: An R package for the analysis of tracer addition experiments14
Applying computer vision to digitised natural history collections for climate change research: Temperature‐size responses in British butterflies14
ChirpArray : A low‐cost, easy‐to‐construct microphone array for long‐term ecoacoustic monitoring14
Impact of acoustic index parameters on soundscape comparisons14
theRmalUAV: An R package to clean and correct thermal UAV data for accurate land surface temperatures14
Sap Flow Analyzer : A tool to standardize sap flow estimation and scaling to whole‐tree water use using the HFD method14
HSC 3 D : A Python package to quantify three‐dimensional habitat structural complexity14
Realising the promise of large data and complex models14
Clustering and unconstrained ordination with Dirichlet process mixture models14
Investigating soil mesofauna cryptic diversity: Current challenges and perspectives14
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Estimating forest above‐ground biomass with terrestrial laser scanning: Current status and future directions14
Analysing biodiversity observation data collected in continuous time: Should we use discrete‐ or continuous‐time occupancy models?14
Ten practical guidelines for microclimate research in terrestrial ecosystems14
bistro: An R package for vector bloodmeal identification by short tandem repeat overlap14
TransMCL enables the assembly of full‐length coding genes for collecting complete hierarchical orthogroups14
ENphylo : A new method to model the distribution of extremely rare species14
The role of large language models in interdisciplinary research: Opportunities, challenges and ways forward14
Estimating animal density for a community of species using information obtained only from camera‐traps14
Generating continuous maps of genetic diversity using moving windows14
Time‐lapse cameras bridge the gap between remote sensing and in situ observations of tundra phenology14
rphenoscate: An R package for semantics‐aware evolutionary analyses of anatomical traits14
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Decoding the footsteps of the African savanna: Classifying wildlife using seismic signals and machine learning13
Corrigendum13
A Monte Carlo resampling framework for implementing goodness‐of‐fit tests in spatial capture‐recapture models13
EEMtoolbox : A user‐friendly R package for flexible ensemble ecosystem modelling13
mpmsim: An R package for simulating matrix population models13
A continuous‐score occupancy model that incorporates uncertain machine learning output from autonomous biodiversity surveys13
Connectivity conservation planning through deep reinforcement learning13
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patter: Particle algorithms for animal tracking in R and Julia13
An RGB‐D framework for capturing soft‐sediment microtopography13
Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates13
Robust passive sampling of airborne environmental DNA to monitor plants and animals13
ontophylo: Reconstructing the evolutionary dynamics of phenomes using new ontology‐informed phylogenetic methods13
CATS : A high‐performance software framework for simulating plant migration in changing environments13
3D photogrammetry and deep‐learning deliver accurate estimates of epibenthic biomass13
Home‐range spillover in habitats with impassable boundaries: Causes, biases and corrections using autocorrelated kernel density estimation13
Simple assay quantifying sediment resuspension effects on marine carbon storage13
Fine‐scale reconstruction of pelagic fish migration by iso‐logging of eye lens13
High‐magnification platform for characterising microscopic communities13
metaRange : A framework to build mechanistic range models13
Reconstructing bird trajectories from pressure and wind data using a highly optimized hidden Markov model13
PoolDilutionR : An R package for easy optimization of isotope pool dilution calculations13
Avoiding confusion: Modelling image identification surveys with classification errors12
A multi‐property assessment of intensity of use provides a functional understanding of animal movement12
Mitigating pseudoreplication and bias in resource selection functions with autocorrelation‐informed weighting12
A new tool to improve the estimates of interaction rewiring considering the whole community composition12
ohun: An R package for diagnosing and optimizing automatic sound event detection12
plantTracker : An R package to translate maps of plant occurrence into demographic data12
Bioregionalization analyses with the bioregion R package12
Distinguishing passive and driven trait evolution in the presence of boundaries12
USE it: Uniformly sampling pseudo‐absences within the environmental space for applications in habitat suitability models12
A new method for voxel‐based modelling of three‐dimensional forest scenes with integration of terrestrial and airborne LiDAR data12
A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats11
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Resin‐coated urea effectively simulates the chronic dynamics of natural nitrogen deposition11
Fieldwork in conservation organisations–A review of methodological challenges, opportunities and ethics11
dentist: Quantifying uncertainty by sampling points around maximum likelihood estimates11
AMMonitor 2: Remote monitoring of biodiversity in an adaptive framework in R11
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Coupling gel electrophoresis with photoluminescence reveals biochrome complexes in modern and fossil shells11
An automated radiotelemetry system (ARTS) for monitoring small mammals11
The RadOrgMiner pipeline: Automated genotyping of organellar loci from RADseq data11
Deep reinforcement learning for conservation decisions11
Detecting stochasticity in population time series using a non‐parametric test of intrinsic predictability11
Method for maintaining adult solitary bee Centris analis under laboratory conditions11
Spatially explicit management of genetic diversity using ancestry probability surfaces11
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