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The MIAmaxent R package: Variable transformation and model selection for species distribution models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ece3.4014openalex-snapshot
Ecological niche modeling re‐examined: A case study with the Darwin's fox
inferredcites →https://doi.org/10.1002/ece3.5654openalex-snapshot
The MIAmaxent R package: Variable transformation and model selection for species distribution models
inferredcites →https://doi.org/10.1002/sim.3943openalex-snapshot
Performance of using multiple stepwise algorithms for variable selection
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1016/j.ecoinf.2015.06.007openalex-snapshot
Caveats for correlative species distribution modeling
inferredcites →https://doi.org/10.1016/j.ecoinf.2015.07.001openalex-snapshot
MIAT: Modular R-wrappers for flexible implementation of MaxEnt distribution modelling
inferredcites →https://doi.org/10.1016/j.ecoinf.2016.11.001openalex-snapshot
Field validation of an invasive species Maxent model
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.03.026openalex-snapshot
Maximum entropy modeling of species geographic distributions
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.10.003openalex-snapshot
Constrain to perform: Regularization of habitat models
inferredcites →https://doi.org/10.1016/j.ecolmodel.2006.07.005openalex-snapshot
Species distribution models and ecological theory: A critical assessment and some possible new approaches
inferredcites →https://doi.org/10.1016/j.ecolmodel.2011.04.015openalex-snapshot
Modelling species distributions with penalised logistic regressions: A comparison with maximum entropy models
inferredcites →https://doi.org/10.1016/j.ecolmodel.2013.04.011openalex-snapshot
Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas
inferredcites →https://doi.org/10.1016/j.ecolmodel.2015.05.035openalex-snapshot
Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data
inferredcites →https://doi.org/10.1016/j.ecolmodel.2016.02.021openalex-snapshot
How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt?
inferredcites →https://doi.org/10.1016/j.ecolmodel.2016.03.012openalex-snapshot
On the dangers of model complexity without ecological justification in species distribution modeling
inferredcites →https://doi.org/10.1016/j.tree.2012.03.010openalex-snapshot
In defense of ‘niche modeling’
inferredcites →https://doi.org/10.1017/cbo9780511790942openalex-snapshot
Data Analysis Using Regression and Multilevel/Hierarchical Models
inferredcites →https://doi.org/10.1017/s0376892997000088openalex-snapshot
A review of methods for the assessment of prediction errors in conservation presence/absence models
inferredcites →https://doi.org/10.1103/physrev.106.620openalex-snapshot
Information Theory and Statistical Mechanics
inferredcites →https://doi.org/10.1103/physrev.108.171openalex-snapshot
Information Theory and Statistical Mechanics. II
inferredcites →https://doi.org/10.1111/2041-210x.12004openalex-snapshot
Presence‐only modelling using MAXENT : when can we trust the inferences?
inferredcites →https://doi.org/10.1111/2041-210x.12252openalex-snapshot
Maxent is not a presence–absence method: a comment on Thibaud et al .
inferredcites →https://doi.org/10.1111/2041-210x.12261openalex-snapshot
ENM eval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models
inferredcites →https://doi.org/10.1111/2041-210x.12352openalex-snapshot
Point process models for presence‐only analysis
inferredcites →https://doi.org/10.1111/2041-210x.12397openalex-snapshot
No silver bullets in correlative ecological niche modelling: insights from testing among many potential algorithms for niche estimation
inferredcites →https://doi.org/10.1111/2041-210x.12858openalex-snapshot
The zoon r package for reproducible and shareable species distribution modelling
inferredcites →https://doi.org/10.1111/ddi.12305openalex-snapshot
Scientists and software – surveying the species distribution modelling community
inferredcites →https://doi.org/10.1111/ddi.12437openalex-snapshot
Using individual tracking data to validate the predictions of species distribution models
inferredcites →https://doi.org/10.1111/ecog.00565openalex-snapshot
Opportunities for improved distribution modelling practice via a strict maximum likelihood interpretation of MaxEnt
inferredcites →https://doi.org/10.1111/ecog.00733openalex-snapshot
Field validation supports novel niche modeling strategies in a cryptic endangered amphibian
inferredcites →https://doi.org/10.1111/ecog.00845openalex-snapshot
What do we gain from simplicity versus complexity in species distribution models?
inferredcites →https://doi.org/10.1111/ecog.01132openalex-snapshot
spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models
inferredcites →https://doi.org/10.1111/ecog.01881openalex-snapshot
sdm: a reproducible and extensible R platform for species distribution modelling
inferredcites →https://doi.org/10.1111/ecog.03049openalex-snapshot
Opening the black box: an open‐source release of Maxent
inferredcites →https://doi.org/10.1111/ele.12189openalex-snapshot
Predicting species distributions for conservation decisions
inferredcites →https://doi.org/10.1111/gcb.13992openalex-snapshot
Toward ecologically realistic predictions of species distributions: A cross‐time example from tropical montane cloud forests
inferredcites →https://doi.org/10.1111/geb.12453openalex-snapshot
Improving niche and range estimates with Maxent and point process models by integrating spatially explicit information
inferredcites →https://doi.org/10.1111/j.0906-7590.2008.5203.xopenalex-snapshot
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
inferredcites →https://doi.org/10.1111/j.1365-2486.2005.01000.xopenalex-snapshot
Validation of species–climate impact models under climate change
inferredcites →https://doi.org/10.1111/j.1365-2664.2005.01112.xopenalex-snapshot
Modelling distribution and abundance with presence‐only data
inferredcites →https://doi.org/10.1111/j.1365-2664.2006.01164.xopenalex-snapshot
Making better biogeographical predictions of species’ distributions
inferredcites →https://doi.org/10.1111/j.1365-2699.2006.01466.xopenalex-snapshot
Are niche‐based species distribution models transferable in space?
inferredcites →https://doi.org/10.1111/j.1365-2699.2006.01584.xopenalex-snapshot
Five (or so) challenges for species distribution modelling
inferredcites →https://doi.org/10.1111/j.1365-2699.2009.02174.xopenalex-snapshot
Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models
inferredcites →https://doi.org/10.1111/j.1461-0248.2009.01361.xopenalex-snapshot
Performance of several variable‐selection methods applied to real ecological data
inferredcites →https://doi.org/10.1111/j.1461-0248.2010.01460.xopenalex-snapshot
Alternative regression methods are not considered in Murtaugh (2009) or by ecologists in general
inferredcites →https://doi.org/10.1111/j.1472-4642.2010.00725.xopenalex-snapshot
A statistical explanation of MaxEnt for ecologists
inferredcites →https://doi.org/10.1111/j.1541-0420.2012.01824.xopenalex-snapshot
Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology
inferredcites →https://doi.org/10.1111/j.1600-0587.2008.05505.xopenalex-snapshot
Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
inferredcites →https://doi.org/10.1111/j.1600-0587.2012.07348.xopenalex-snapshot
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
inferredcites →https://doi.org/10.1111/j.1600-0587.2013.00321.xopenalex-snapshot
Inference from presence‐only data; the ongoing controversy
inferredcites →https://doi.org/10.1111/j.1600-0587.2013.07872.xopenalex-snapshot
A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter
inferredcites →https://doi.org/10.1111/j.1600-0706.2012.00299.xopenalex-snapshot
Testing the predictive performance of distribution models
inferredcites →https://doi.org/10.1111/j.1654-1103.2003.tb02220.xopenalex-snapshot
Species response curves along environmental gradients. A case study from SE Norwegian swamp forests
inferredcites →https://doi.org/10.1111/j.1756-1051.2010.00984.xopenalex-snapshot
A fine‐grained spatial prediction model for the red‐listed vascular plant Scorzonera humilis
inferredcites →https://doi.org/10.1111/j.2006.0906-7590.04596.xopenalex-snapshot
Novel methods improve prediction of species’ distributions from occurrence data
inferredcites →https://doi.org/10.1111/j.2041-210x.2010.00036.xopenalex-snapshot
The art of modelling range-shifting species
inferredcites →https://doi.org/10.1111/j.2041-210x.2011.00141.xopenalex-snapshot
Comparative interpretation of count, presence–absence and point methods for species distribution models
inferredcites →https://doi.org/10.1111/j.2041-210x.2011.00170.xopenalex-snapshot
Assessing transferability of ecological models: an underappreciated aspect of statistical validation
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1111/jbi.12227openalex-snapshot
Making better M axent models of species distributions: complexity, overfitting and evaluation
inferredcites →https://doi.org/10.1111/jbi.12347openalex-snapshot
Combining genetic analyses of archived specimens with distribution modelling to explain the anomalous distribution of the rare lichen Staurolemma omphalarioides: long‐distance dispersal or vicariance?
inferredcites →https://doi.org/10.1126/sciadv.aat4858openalex-snapshot
Standards for distribution models in biodiversity assessments
inferredcites →https://doi.org/10.1145/1015330.1015412openalex-snapshot
A maximum entropy approach to species distribution modeling
inferredcites →https://doi.org/10.1146/annurev.ecolsys.110308.120159openalex-snapshot
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
inferredcites →https://doi.org/10.1214/10-aoas331openalex-snapshot
Poisson point process models solve the “pseudo-absence problem” for presence-only data in ecology
inferredcites →https://doi.org/10.1214/13-aoas667openalex-snapshot
Finite-sample equivalence in statistical models for presence-only data
inferredcites →https://doi.org/10.1214/ss/1009213726openalex-snapshot
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
inferredcites →https://doi.org/10.1890/0012-9658(2003)084[1909:pscobs]2.0.co;2openalex-snapshot
PLANT SPECIES COMPOSITION OF BOREAL SPRUCE SWAMP FORESTS: CLOSED DOORS AND WINDOWS OF OPPORTUNITY
inferredcites →https://doi.org/10.1890/06-0539openalex-snapshot
DIRECT AND INDIRECT EFFECTS OF CLIMATE AND HABITAT FACTORS ON BUTTERFLY DIVERSITY
inferredcites →https://doi.org/10.1890/07-2153.1openalex-snapshot
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
inferredcites →https://doi.org/10.1890/10-1171.1openalex-snapshot
Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria
inferredcites →https://doi.org/10.2478/som-2001-0001openalex-snapshot
Vegetation-environment relationships of boreal spruce swamp forests in Østmarka Nature Reserve, SE Norway
inferredcites →https://doi.org/10.2478/som-2018-0001openalex-snapshot
Sampling bias in presence-only data used for species distribution modelling: theory and methods for detecting sample bias and its effects on models
inferredcites →https://doi.org/10.2478/v10208-011-0015-3openalex-snapshot
A gradient analytic perspective on distribution modelling
inferredcites →https://doi.org/10.2478/v10208-011-0016-2openalex-snapshot
A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling
inferredcites →https://doi.org/10.7717/peerj.3093openalex-snapshot
MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.3897/neobiota.109.192296zenodo-depositor-declared
Assessing invasion risk of two North American Saperda species (Coleoptera, Cerambycidae) in Europe using joint bioclimatic-habitat species distribution models and maritime-inland connectivity
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Estimating the Abundance of Widely Distributed Primates
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Acupuncture modulates the functional connectivity among the subcortical nucleus and fronto‐parietal network in adolescents with internet addiction
inferred← citeshttps://doi.org/10.1002/ece3.8531openalex-snapshot
The effect of oil palm‐dominated landscapes on the home range and distribution of a generalist species, the Asian water monitor
inferred← citeshttps://doi.org/10.1002/ldr.5592openalex-snapshot
Identifying Suitable Areas for Maize and Soybean Rotation in Northeast China: Toward a Sustainable and Resilient Food System
inferred← citeshttps://doi.org/10.1002/ldr.70799openalex-snapshot
Cropland Suitability–Use Mismatches and Differentiated Zoning Regulation in the North China Plain: Implications for Spatially Optimised and Sustainable Land Use
inferred← citeshttps://doi.org/10.1002/tax.70072openalex-snapshot
Shedding light on the Chlorophytum comosum complex through phylogenomics and species distribution modeling
inferred← citeshttps://doi.org/10.1007/s00442-024-05528-9openalex-snapshot
Intraspecific niche models for the invasive ambrosia beetle Xylosandrus crassiusculus suggest contrasted responses to climate change
inferred← citeshttps://doi.org/10.1007/s10661-025-14835-4openalex-snapshot
Geographical and potential distribution of Portulaca L. in China
inferred← citeshttps://doi.org/10.1007/s10841-024-00555-6openalex-snapshot
Can species distribution models using remotely sensed variables inform reintroductions? Trialling methods with Carterocephalus palaemon the Chequered Skipper Butterfly
inferred← citeshttps://doi.org/10.1007/s11355-025-00653-wopenalex-snapshot
Effectiveness and implications of spatial background restrictions on model performance and predictions: a special reference for Rattus species
inferred← citeshttps://doi.org/10.1007/s44281-026-00103-zopenalex-snapshot
Chromosome-level genome assembly reveals the genetic mechanisms underlying elite waterlogging tolerance in Actinidia rufa
inferred← citeshttps://doi.org/10.1016/j.ecochg.2024.100084openalex-snapshot
Evaluating climate change scenarios on global pea aphid habitat suitability using species distribution models
inferred← citeshttps://doi.org/10.1016/j.ecolind.2023.111491openalex-snapshot
Species distribution modeling based on MaxEnt to inform biodiversity conservation in the Central Urban Area of Chongqing Municipality
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2020.109071openalex-snapshot
Comparing maximum entropy modelling methods to inform aquaculture site selection for novel seaweed species
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2021.109693openalex-snapshot
Searching for ecology in species distribution models in the Himalayas
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2022.110242openalex-snapshot
A curated list of R packages for ecological niche modelling
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2023.110409openalex-snapshot
Dynamic distribution modelling using a native invasive species, the mountain pine beetle
inferred← citeshttps://doi.org/10.1016/j.gecco.2025.e03657openalex-snapshot
Human footprint with machine learning identifies risks of the invasive weed Conyza sumatrensis across land-use types under climate change
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Bioclimatic drivers and niche Thresholds: Decoupling the habitat suitability dynamics of Phoebe zhennan
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Priorities and potential for enlarging Czech large-scale protected areas
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Gastrointestinal parasites of black grouse Lyrurus tetrix: A long-term study (1986–2019) in the French Alps
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Climate change and the potential distribution of the glassy-winged sharpshooter (Homalodisca vitripennis), an insect vector of Xylella fastidiosa
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Modelling the potential range of Agrilus planipennis in Europe according to current and future climate conditions
inferred← citeshttps://doi.org/10.1017/s0266467424000208openalex-snapshot
Strengthening ecologically based rodent management in the Philippines using maximum entropy (MaxEnt) predictions
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Citizen science and niche modeling to track and forecast the expansion of the brown marmorated stinkbug Halyomorpha halys (Stål, 1855)
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Traditional land use is integral to ecological function in SW Madagascar
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An integrated environmental modelling and decision-support framework for climate-resilient management of Nepeta persica boiss. under climate change
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Mapping Ixodes pacificus and Borrelia burgdorferi Habitat Suitability Under Current and Mid-Century Climate in the Pacific Northwest (BC and WA)
inferred← citeshttps://doi.org/10.1093/conphys/coac035openalex-snapshot
Can fisheries bioenergetics modelling refine spatially explicit assessments of climate change vulnerability?
inferred← citeshttps://doi.org/10.1111/aec.13266openalex-snapshot
Species distribution modelling of the endangered Mahogany Glider (Petaurus gracilis) reveals key areas for targeted survey and conservation
inferred← citeshttps://doi.org/10.1111/afe.12665openalex-snapshot
Climate and host plant availability are favourable to the establishment of Lycorma delicatula in Europe
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Protected areas and hunting system affect the survival and longevity of adult female Eurasian lynx in a source–sink population
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Composite landscape predictors improve distribution models of ecosystem types
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Magnitude–duration relationships of physiological sensitivity and environmental exposure improve climate change vulnerability assessments
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Changes in the climate suitability and growth rates of trees in eastern North America
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Choice of predictors and complexity for ecosystem distribution models: effects on performance and transferability
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Cumulative Heat Stress in Fluctuating Temperatures and Implications for the Distribution of Freshwater Fish
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Niche divergence among closely related taxa provides insight on evolutionary patterns of ticks
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Solving sampling bias problems in presence–absence or presence‐only species data using zero‐inflated models
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When Good Fit Goes Bad: Identifying and Minimising Overfitting in Ecological Niche Models
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West Nile virus in Spain: Forecasting the geographical distribution of risky areas with an ecological niche modelling approach
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Island-wide characterization of agricultural production challenges the demographic collapse hypothesis for Rapa Nui (Easter Island)
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MaxEnt-Based Prediction of Grasshopper Distribution in Hulun Buir in Response to Climate and CO2 Changes
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Habitat Quality Analysis of Panzhihua City from 2000 to 2020 based on InVEST Model
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Babesiosis as a potential threat for bovine production in China
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Assessing geographic and climatic variables to predict the potential distribution of the visceral leishmaniasis vector Lutzomyia longipalpis in the state of Espírito Santo, Brazil
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The critical role of natural forest as refugium for generalist species in oil palm-dominated landscapes
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Will the Soutok/Confluence protected area fit in with other Moravian lowland riverine protected areas? Comparing landscapes, values, pressures, and effective protection
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The identity of the North American endemic Dendriscocaulon intricatulum and two southern South American cyanomorphs in the Peltigerales
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Bruk av utbredelsesmodeller for arter og naturtyper i arealplanlegging og naturforvaltning
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Modelling climatically and ecologically suitable environment for benthic foraminiferal species
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EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using shiny dashboard and R Package
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Climate driven shifts in the ecological niches of African suids revealed by ensemble modelling with the kuenm2 framework
inferred← citeshttps://doi.org/10.32614/cran.package.miamaxentopenalex-snapshot
MIAmaxent: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
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Quest for New Space for Restricted Range Mammals: The Case of the Endangered Walia Ibex
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Reliability in Distribution Modeling—A Synthesis and Step-by-Step Guidelines for Improved Practice
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Variability in coastal habitat available for Longfin Smelt Spirinchus thaleichthys in the northeastern Pacific Ocean
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Global Patterns of the Fungal Pathogen Batrachochytrium dendrobatidis Support Conservation Urgency
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Vectors as Sentinels: Rising Temperatures Increase the Risk of Xylella fastidiosa Outbreaks
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Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data
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Comparison of Habitat Suitability Models for Haemaphysalis longicornis Neumann in North America to Determine Its Potential Geographic Range
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Identification of Key Habitats of Bowhead and Blue Whales in the OSPAR Area of the North-East Atlantic—A Modelling Approach towards Effective Conservation
inferred← citeshttps://doi.org/10.3390/land14030539openalex-snapshot
Spatial and Temporal Variations of Habitat Quality and Influencing Factors in Urban Agglomerations on the North Slope of Tianshan Mountains, China
inferred← citeshttps://doi.org/10.3390/rs13101892openalex-snapshot
One-Class Classification of Natural Vegetation Using Remote Sensing: A Review
inferred← citeshttps://doi.org/10.3390/su17083708openalex-snapshot
Spatiotemporal Evolution Characteristics and Prediction of Habitat Quality Changes in the Poyang Lake Region, China
inferred← citeshttps://doi.org/10.46234/ccdcw2021.182openalex-snapshot
Modelling the Ecological Suitability of the Chagas Disease Vector Triatoma rubrofasciata — China
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Structure génétique et modélisation de la distribution des populations de deux espèces invasives de Xylosandrus (Scolytinae - Xyleborini) : deux espèces proches aux histoires d’invasion différentes
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EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using the shiny dashboard and R package
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