| scholarly article | Q13442814 |
| P356 | DOI | 10.1007/S10530-017-1567-1 |
| P50 | author | John T. Kartesz | Q5933639 |
| Roger Magarey | Q57156103 | ||
| Catherine Jarnevich | Q59816887 | ||
| Gericke Cook | Q59816898 | ||
| Anthony L. Koop | Q124312612 | ||
| Amanda M West | Q56380218 | ||
| P2093 | author name string | Leslie Newton | |
| David Christie | |||
| Seung Cheon Hong | |||
| Steven I. Higgins | |||
| John Hastings | |||
| Karen Castro | |||
| Yu Takeuchi | |||
| Lisa Kohl | |||
| Martin Damus | |||
| Leah Millar | |||
| P2860 | cites work | BIOMOD - a platform for ensemble forecasting of species distributions | Q57021233 |
| Consequences of spatial autocorrelation for niche-based models | Q57021341 | ||
| Does the choice of climate baseline matter in ecological niche modelling? | Q57032349 | ||
| A physiological analogy of the niche for projecting the potential distribution of plants | Q57054754 | ||
| A statistical explanation of MaxEnt for ecologists | Q57062660 | ||
| Species Distribution Models: Ecological Explanation and Prediction Across Space and Time | Q57062685 | ||
| Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? | Q57198258 | ||
| The NCEP Climate Forecast System Reanalysis | Q57439360 | ||
| VisTrails SAHM: visualization and workflow management for species habitat modeling | Q58193654 | ||
| Essential elements of discourse for advancing the modelling of species' current and potential distributions | Q59153697 | ||
| Ensemble modelling of species distribution: the effects of geographical and environmental ranges | Q59308822 | ||
| Updated world map of the Köppen-Geiger climate classification | Q21128894 | ||
| Challenges in identifying sites climatically matched to the native ranges of animal invaders | Q27968148 | ||
| Very high resolution interpolated climate surfaces for global land areas | Q29642135 | ||
| Ensemble forecasting of species distributions | Q31063210 | ||
| Invasive plants have broader physiological niches | Q33971782 | ||
| Incremental validity of new clinical assessment measures | Q35614970 | ||
| Projecting future expansion of invasive species: comparing and improving methodologies for species distribution modeling. | Q35694214 | ||
| Modeling the Present and Future Geographic Distribution of the Lone Star Tick, Amblyomma americanum (Ixodida: Ixodidae), in the Continental United States | Q36132076 | ||
| Predicting the Landscape-Scale Distribution of Alien Plants and Their Threat to Plant Diversity | Q55842098 | ||
| Predicting Invasions of Woody Plants Introduced into North America. Prediccion de Invasiones de Plantas Lenosas Introducidas a Norteamerica | Q56095787 | ||
| Field validation of an invasive species Maxent model | Q56379228 | ||
| AUC: a misleading measure of the performance of predictive distribution models | Q56445156 | ||
| Distribution models of invasive plants over-estimate potential impact | Q56490800 | ||
| Climate suitability and human influences combined explain the range expansion of an invasive horticultural plant | Q56545600 | ||
| CliMond: global high-resolution historical and future scenario climate surfaces for bioclimatic modelling | Q56575235 | ||
| Development and validation of a weed screening tool for the United States | Q56576768 | ||
| Accounting for multi-scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM) | Q56608226 | ||
| Use of niche models in invasive species risk assessments | Q56647246 | ||
| Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models | Q56744731 | ||
| The art of modelling range-shifting species | Q56765761 | ||
| Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement | Q56767877 | ||
| Climate matching techniques to narrow the search for biological control agents | Q56773721 | ||
| Modelling invasion for a habitat generalist and a specialist plant species | Q56773745 | ||
| The Invasive Species Assessment Protocol: A Tool for Creating Regional and National Lists of Invasive Nonnative Plants that Negatively Impact Biodiversity | Q56776097 | ||
| Filling in the gaps: modelling native species richness and invasions using spatially incomplete data | Q56780165 | ||
| Predicting species distribution: offering more than simple habitat models | Q56785411 | ||
| Methods to account for spatial autocorrelation in the analysis of species distributional data: a review | Q56817176 | ||
| Residence time and potential range: crucial considerations in modelling plant invasions | Q56922965 | ||
| Collinearity: a review of methods to deal with it and a simulation study evaluating their performance | Q56923875 | ||
| Estimating the spatio-temporal risk of disease epidemics using a bioclimatic niche model | Q56931413 | ||
| What do we gain from simplicity versus complexity in species distribution models? | Q57013904 | ||
| Sensitivity of predictive species distribution models to change in grain size | Q57014193 | ||
| Novel methods improve prediction of species’ distributions from occurrence data | Q57014231 | ||
| Correlation and process in species distribution models: bridging a dichotomy | Q57019842 | ||
| P433 | issue | 3 | |
| P921 | main subject | United States of America | Q30 |
| P6104 | maintained by WikiProject | WikiProject Invasion Biology | Q56241615 |
| P304 | page(s) | 679-694 | |
| P577 | publication date | 2017-09-19 | |
| P1433 | published in | Biological Invasions | Q15763359 |
| P1476 | title | Comparison of four modeling tools for the prediction of potential distribution for non-indigenous weeds in the United States | |
| P478 | volume | 20 |
| Q101217316 | Predictive ability of a process-based versus a correlative species distribution model | cites work | P2860 |
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