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Mapping of Vegetation Alliances in a Desert-Steppe Ecotone by Maxent

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Upland vegetation mapping using Random Forests with optical and radar satellite data
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The influence of baseline clinical status and surgical strategy on early good to excellent result in spinal lumbar arthrodesis: A machine learning approach
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Patterns and driving mechanism of soil organic carbon, nitrogen, and phosphorus stoichiometry across northern China’s desert-grassland transition zone
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inferredcites →https://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
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.2011.07.005openalex-snapshot
Ecological niche modeling of customary medicinal plant species used by Australian Aborigines to identify species-rich and culturally valuable areas for conservation
inferredcites →https://doi.org/10.1016/j.gecco.2019.e00864openalex-snapshot
Observational and experimental evidence for the effect of altered precipitation on desert and steppe communities
inferredcites →https://doi.org/10.1016/j.jag.2015.03.003openalex-snapshot
New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities
inferredcites →https://doi.org/10.1016/j.jarmap.2018.02.003openalex-snapshot
Modeling habitat suitability of Perilla frutescens with MaxEnt in Uttarakhand—A conservation approach
inferredcites →https://doi.org/10.1029/2019gl083729openalex-snapshot
Vegetation Pattern and Terrestrial Carbon Variation in Past Warm and Cold Climates
inferredcites →https://doi.org/10.1073/pnas.1700291115openalex-snapshot
Carbon pools in China’s terrestrial ecosystems: New estimates based on an intensive field survey
inferredcites →https://doi.org/10.1086/378926openalex-snapshot
Predicting the Geography of Species’ Invasions via Ecological Niche Modeling
inferredcites →https://doi.org/10.1093/icesjms/fsz241openalex-snapshot
A Bayesian hierarchical approach to estimate growth parameters from length data of narrow spread
inferredcites →https://doi.org/10.1111/aje.13008openalex-snapshot
Potential effects of changes in climate, population density and land use land cover on spatial distribution of Adansonia digitata suitable habitats in Africa
inferredcites →https://doi.org/10.1111/gcb.15639openalex-snapshot
Linking climate niches across seasons to assess population vulnerability in a migratory bird
inferredcites →https://doi.org/10.1111/j.0906-7590.2004.03764.xopenalex-snapshot
Presence‐absence versus presence‐only modelling methods for predicting bird habitat suitability
inferredcites →https://doi.org/10.1111/j.1461-0248.2007.01150.xopenalex-snapshot
Prediction of plant species distributions across six millennia
inferredcites →https://doi.org/10.1111/j.1472-4642.2008.00482.xopenalex-snapshot
Effects of sample size on the performance of species distribution models
inferredcites →https://doi.org/10.1126/science.352.6286.668-copenalex-snapshot
Climate filters dominant species
inferredcites →https://doi.org/10.1127/phyto/2017/0179openalex-snapshot
The UK National Vegetation Classification
inferredcites →https://doi.org/10.1158/1940-6207.capr-24-0236openalex-snapshot
A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications
inferredcites →https://doi.org/10.1371/journal.pone.0175742openalex-snapshot
Response of spatial vegetation distribution in China to climate changes since the Last Glacial Maximum (LGM)
inferredcites →https://doi.org/10.1590/01047760202127012667openalex-snapshot
Study on rare and endangered plants under climate: maxent modeling for identifying hot spots in northwest China
inferredcites →https://doi.org/10.1590/1519-6984.22713openalex-snapshot
Trends and biases in global scientific literature about ecological niche models
inferredcites →https://doi.org/10.1657/1938-4246-43.3.429openalex-snapshot
Simulating Biome Distribution on the Tibetan Plateau Using a Modified Global Vegetation Model
inferredcites →https://doi.org/10.3390/d8040031openalex-snapshot
Genetics and Conservation of Plant Species of Extremely Narrow Geographic Range
inferredcites →https://doi.org/10.3390/jpm11121377openalex-snapshot
The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach
inferredcites →https://doi.org/10.3390/plants12010164openalex-snapshot
Ecological Features and Conservation of Urtica rupestris Guss. (Urticaceae): A Narrow Endemic Species of Sicily
inferredcites →https://doi.org/10.3760/cma.j.issn.0366-6999.20123102openalex-snapshot
Weighted Youden index and its two-independent-sample comparison based on weighted sensitivity and specificity
inferredcites →https://doi.org/10.5194/essd-10-2033-2018openalex-snapshot
Mapping the vegetation of the Lake Tana basin, Ethiopia, using Google Earth images
inferredcites →https://doi.org/10.5194/essd-17-773-2025openalex-snapshot
Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery
inferredcites →https://doi.org/10.5670/oceanog.2003.42openalex-snapshot
Niche Modeling Perspective on Geographic Range Predictions in the Marine Environment Using a Machine-learning Algorithm
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