ArticlePlants (Basel, Switzerland)2021
Predicting Impacts of Climate Change on Northward Range Expansion of Invasive Weeds in South Korea.
Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Mapping Endangered Plant Distributions, Species Richness, and Climate Refugia Under SSP Climate Scenarios in South Korea.Plants (Basel, Switzerland) · 2025Article
- Prediction of the potentially suitable areas of Elymus dahuricus Turcz in China under climate change based on maxent.Scientific reports · 2025Article
- Assessing the impact of climate change on habitat dynamics ofFrontiers in plant science · 2025Article
- Predicting the Invasion Risk of the Highly InvasivePlants (Basel, Switzerland) · 2024Article
- Projected Impacts of Climate Change on the Range Expansion of the Invasive Straggler Daisy (Plants (Basel, Switzerland) · 2023Article
- Assessing the Potential Distribution ofPlants (Basel, Switzerland) · 2023Article
- Global spatial distribution of Chromolaena odorata habitat under climate change: random forest modeling of one of the 100 worst invasive alien species.Scientific reports · 2023Article
- Comparing the Performance of CMCC-BioClimInd and WorldClim Datasets in Predicting Global Invasive Plant Distributions.Biology · 2023Article
- Factors Influencing the Potential Distribution of Globally Endangered Egyptian Vulture Nesting Habitat in Nepal.Animals : an open access journal from MDPI · 2023Article
- Article
- Potential distribution prediction ofEcology and evolution · 2022Article
- Molecular Evidence Reveals the Sympatric Distribution ofAnimals : an open access journal from MDPI · 2022Article
- Using Consensus Land Cover Data to Model Global Invasive Tree Species Distributions.Plants (Basel, Switzerland) · 2022Article
- Climate change induced habitat expansion of nutria (Myocastor coypus) in South Korea.Scientific reports · 2022Article
- Modeling potential habitats and predicting habitat connectivity for Leucanthemum vulgare Lam. in northwestern rangelands of Iran.Environmental monitoring and assessment · 2022Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Predicting the distribution of invasive weeds under climate change is important for the early identification of areas that are susceptible to invasion and for the adoption of the best preventive measures. Here, we predicted the habitat suitability of 16 invasive weeds in response to climate change and land cover changes in South Korea using a maximum entropy modeling approach. Based on the predictions of the model, climate change is likely to increase habitat suitability. Currently, the area of moderately suitable and highly suitable habitats is estimated to be 8877.46 km
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Registered trials
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