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Assessing distribution changes of selected native and alien invasive plant species under changing climatic conditions in Nyeri County, Kenya
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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/ece3.1878openalex-snapshot
On the selection of thresholds for predicting species occurrence with presence‐only data
inferredcites →https://doi.org/10.1002/ece3.2332openalex-snapshot
A comparison of absolute performance of different correlative and mechanistic species distribution models in an independent area
inferredcites →https://doi.org/10.1002/joc.5086openalex-snapshot
WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas
inferredcites →https://doi.org/10.1007/s00382-014-2418-8openalex-snapshot
Selecting CMIP5 GCMs for downscaling over multiple regions
inferredcites →https://doi.org/10.1007/s10530-004-3904-4openalex-snapshot
Comparison of survey methods for an invasive plant at the subwatershed level
inferredcites →https://doi.org/10.1007/s10530-017-1453-xopenalex-snapshot
Distribution and socio-ecological impacts of the invasive alien cactus Opuntia stricta in eastern Africa
inferredcites →https://doi.org/10.1016/j.ecoinf.2019.05.003openalex-snapshot
Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species
inferredcites →https://doi.org/10.1016/j.ecolind.2018.07.009openalex-snapshot
Potential impact of climate change on the distribution of six invasive alien plants in Nepal
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.pce.2018.12.004openalex-snapshot
Advancements in satellite remote sensing for mapping and monitoring of alien invasive plant species (AIPs)
inferredcites →https://doi.org/10.1016/j.tree.2004.07.005openalex-snapshot
Are invasive species a major cause of extinctions?
inferredcites →https://doi.org/10.1016/s0304-3800(00)00322-7openalex-snapshot
Evaluating the predictive performance of habitat models developed using logistic regression
inferredcites →https://doi.org/10.1038/nature08823openalex-snapshot
The next generation of scenarios for climate change research and assessment
inferredcites →https://doi.org/10.1038/s41597-019-0343-8openalex-snapshot
High-resolution and bias-corrected CMIP5 projections for climate change impact assessments
inferredcites →https://doi.org/10.1038/s41598-018-25437-1openalex-snapshot
Species distribution model transferability and model grain size – finer may not always be better
inferredcites →https://doi.org/10.1046/j.1472-4642.2000.00083.xopenalex-snapshot
Naturalization and invasion of alien plants: concepts and definitions
inferredcites →https://doi.org/10.1079/9781786392145.0000openalex-snapshot
Guide to the naturalized and invasive plants of Eastern Africa
inferredcites →https://doi.org/10.1080/0035919x.2018.1529003openalex-snapshot
An assessment of the distribution and potential ecological impacts of invasive alien plant species in eastern Africa
inferredcites →https://doi.org/10.1080/10549811.2015.1004715openalex-snapshot
Black Wattle (Acacia mearnsiiDe Wild.) in Rwanda’s Forestry: Implications for Nature Conservation
inferredcites →https://doi.org/10.1093/aobpla/plw047openalex-snapshot
Alien plant invasions and native plant extinctions: a six-threshold framework
inferredcites →https://doi.org/10.1098/rspb.2014.0390openalex-snapshot
Low functional redundancy among mammalian browsers in regulating an encroaching shrub ( Solanum campylacanthum ) in African savannah
inferredcites →https://doi.org/10.1111/2041-210x.12200openalex-snapshot
SDM toolbox: a python‐based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses
inferredcites →https://doi.org/10.1111/ddi.12043openalex-snapshot
Implementing and interpreting local‐scale invasive species distribution models
inferredcites →https://doi.org/10.1111/ddi.12573openalex-snapshot
Crop wild relatives range shifts and conservation in Europe under climate change
inferredcites →https://doi.org/10.1111/ddi.12963openalex-snapshot
Climate change amplifies plant invasion hotspots in Nepal
inferredcites →https://doi.org/10.1111/ecog.01509openalex-snapshot
Minimum required number of specimen records to develop accurate species distribution 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/j.0021-8901.2004.00943.xopenalex-snapshot
The effects of species’ range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact?
inferredcites →https://doi.org/10.1111/j.1365-2664.2006.01214.xopenalex-snapshot
Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)
inferredcites →https://doi.org/10.1111/j.1365-2745.2009.01480.xopenalex-snapshot
Impact of invasive plants on the species richness, diversity and composition of invaded communities
inferredcites →https://doi.org/10.1111/j.1461-0248.2008.01277.xopenalex-snapshot
Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges
inferredcites →https://doi.org/10.1111/j.1523-1739.2007.00722.xopenalex-snapshot
Long‐Distance Dispersal of Plants by Vehicles as a Driver of Plant Invasions
inferredcites →https://doi.org/10.1111/j.1523-1739.2008.00951.xopenalex-snapshot
Five Potential Consequences of Climate Change for Invasive Species
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.2007.0906-7590.05041.xopenalex-snapshot
A null‐model for significance testing of presence‐only species distribution models
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.2011.00172.xopenalex-snapshot
Selecting pseudo‐absences for species distribution models: how, where and how many?
inferredcites →https://doi.org/10.1111/jbi.12058openalex-snapshot
Selecting thresholds for the prediction of species occurrence with presence‐only data
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/10.1371/journal.pone.0040969openalex-snapshot
Sensitivity Analysis of CLIMEX Parameters in Modelling Potential Distribution of Lantana camara L.
inferredcites →https://doi.org/10.1371/journal.pone.0120056openalex-snapshot
Consensus Forecasting of Species Distributions: The Effects of Niche Model Performance and Niche Properties
inferredcites →https://doi.org/10.1371/journal.pone.0169748openalex-snapshot
SoilGrids250m: Global gridded soil information based on machine learning
inferredcites →https://doi.org/10.1371/journal.pone.0195752openalex-snapshot
Understanding the dynamics in distribution of invasive alien plant species under predicted climate change in Western Himalaya
inferredcites →https://doi.org/10.1371/journal.pone.0214190openalex-snapshot
Uncertainty analysis of species distribution models
inferredcites →https://doi.org/10.1525/9780520948433-159openalex-snapshot
100 of the World’s Worst Invasive Alien Species: A Selection From The Global Invasive Species Database
inferredcites →https://doi.org/10.1614/0043-1745(2003)051[0254:pipap]2.0.co;2openalex-snapshot
Plant invasions—process and patterns
inferredcites →https://doi.org/10.1614/ipsm-d-11-00049.1openalex-snapshot
Roads as Corridors for Invasive Plant Species: New Evidence from Smooth Bedstraw (Galium mollugo)
inferredcites →https://doi.org/10.21010/ajtcam.v13i6.24openalex-snapshot
IN VITRO ANTIFUNGAL ACTIVITY OF METHANOLIC EXTRACTS OF DIFFERENT Senna didymobotrya (FRESEN.) H.S. IRWIN & BARNEBY PLANT PARTS
inferredcites →https://doi.org/10.24943/scpm.2018openalex-snapshot
Summary for Urban Policymakers – What the IPCC Special Report on 1.5C Means for Cities
inferredcites →https://doi.org/10.2989/10220119.2017.1301551openalex-snapshot
Distribution of the invasive alien weed, Lantana camara , and its ecological and livelihood impacts in eastern Africa
inferredcites →https://doi.org/10.3389/fpls.2017.00770openalex-snapshot
Contemporary Remotely Sensed Data Products Refine Invasive Plants Risk Mapping in Data Poor Regions
inferredcites →https://doi.org/10.3390/f9010047openalex-snapshot
Temperate and Tropical Forest Canopies are Already Functioning beyond Their Thermal Thresholds for Photosynthesis
inferredcites →https://doi.org/10.3390/f9070381openalex-snapshot
Native and Invasive Woody Species Differentially Respond to Forest Edges and Forest Successional Age
inferredcites →https://doi.org/10.3390/ijgi6060176openalex-snapshot
Development and Comparison of Species Distribution Models for Forest Inventories
inferredcites →https://doi.org/10.4001/003.019.0201openalex-snapshot
A Review of Recent Efforts at Biological Control ofCaesalpinia decapetala(Roth) Alston (Fabaceae) in South Africa
inferredcites →https://doi.org/10.4102/abc.v37i2.322openalex-snapshot
Invasive, naturalized and casual alien plants in southern Africa: a summary based on the Southern African Plant Invaders Atlas (SAPIA)
inferredcites →https://doi.org/10.4314/jab.v114i1.9openalex-snapshot
Phytochemical screening and antibacterial investigations of crude methanol extracts of Senna didymobotrya (Fresen.) H. S. Irwin & Barneby
inferredcites →https://doi.org/10.5194/acp-9-2021-2009openalex-snapshot
Modelling trends in OH radical concentrations using generalized additive models
inferredcites →https://doi.org/10.5531/cbc.linc.3.1.3openalex-snapshot
Species’ Distribution Modeling for Conservation Educators and Practitioners
inferredcites →https://doi.org/10.5531/cbc.ncep.0184openalex-snapshot
Species Distribution Modeling for Conservation Educators and Practitioners
inferredcites →https://doi.org/10.5751/es-03089-150108openalex-snapshot
How Useful Are Species Distribution Models for Managing Biodiversity under Future Climates?
inferredcites →https://doi.org/10.5897/ajest2014.1705openalex-snapshot
Impacts of climate change on invasive Lantana camara L. distribution in South Africa
inferredcites →https://doi.org/10.6084/m9.figshare.7504448openalex-snapshot
Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v2
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00704-025-05994-yopenalex-snapshot
Predicting the potential distribution of suitable habitats for Syncerus caffer under varying climate dynamics in the Laikipia-Samburu ecosystem in Kenya
inferred← citeshttps://doi.org/10.1007/s10661-025-14296-9openalex-snapshot
Habitat suitability modelling for the African buffaloes in Northern Kenya using an ensemble approach
inferred← citeshttps://doi.org/10.21467/ias.10.1.134-150openalex-snapshot
Allelopathic Potentiality of Euphorbia hypericifolia L. on Germination and Seedling Development of Sympatric Crops and Weeds
inferred← citeshttps://doi.org/10.3390/agriculture16050505openalex-snapshot
Modeling Current and Future Global Distribution of the Quarantine Pathogen Phytophthora ramorum Using MaxEnt
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