| scholarly article | Q13442814 |
| P356 | DOI | 10.1111/DDI.12194 |
| P5875 | ResearchGate publication ID | 260912191 |
| P50 | author | Christine Maggs | Q21519768 |
| Neil Reid | Q56449599 | ||
| Ruth Kelly | Q56449600 | ||
| P2093 | author name string | Alison Cameron | |
| Katie Leach | |||
| P2860 | cites work | AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models | Q24289235 |
| BIOTIC INVASIONS: CAUSES, EPIDEMIOLOGY, GLOBAL CONSEQUENCES, AND CONTROL | Q28315407 | ||
| Plant invasion across space and time: factors affecting nonindigenous species success during four stages of invasion | Q30834130 | ||
| Interactions between environment, species traits, and human uses describe patterns of plant invasions | Q33254642 | ||
| Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges | Q33418908 | ||
| Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data | Q33422416 | ||
| Increasing potential risk of a global aquatic invader in Europe in contrast to other continents under future climate change | Q33867320 | ||
| Rapid climate change and the rate of adaptation: insight from experimental quantitative genetics | Q34346061 | ||
| Niche-based modelling as a tool for predicting the risk of alien plant invasions at a global scale | Q47462141 | ||
| Risk analysis for biological hazards: what we need to know about invasive species. | Q51187675 | ||
| AUC: a misleading measure of the performance of predictive distribution models | Q56445156 | ||
| Distribution models of invasive plants over-estimate potential impact | Q56490800 | ||
| Predicting spread of invasive macrophytes in New Zealand lakes using indirect measures of human accessibility | Q56562417 | ||
| Invasion hotspots for non-native plants in Australia under current and future climates | Q56577274 | ||
| Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion | Q56600590 | ||
| Climate change and plant invasions: restoration opportunities ahead? | Q56623951 | ||
| Use of niche models in invasive species risk assessments | Q56647246 | ||
| Potential range of the invasive fish rotan (Perccottus glenii) in the Holarctic | Q56649811 | ||
| Climate change and weed adaptation: can evolution of invasive plants lead to greater range expansion than forecasted? | Q56754997 | ||
| Assessing the environmental requirements of invaders using ensembles of distribution models | Q56764981 | ||
| The art of modelling range-shifting species | Q56765761 | ||
| Identifying hotspots for plant invasions and forecasting focal points of further spread | Q56769853 | ||
| Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions | Q56771622 | ||
| A hierarchical framework for integrating invasibility experiments incorporating different factors and spatial scales | Q56771824 | ||
| Species richness of both native and invasive aquatic plants influenced by environmental conditions and human activity | Q56772107 | ||
| Modelling invasion for a habitat generalist and a specialist plant species | Q56773745 | ||
| Predicting the distribution of the invasive alien Heracleum mantegazzianum at two different spatial scales | Q56775231 | ||
| Boats, Pathways, and Aquatic Biological Invasions: Estimating Dispersal Potential with Gravity Models | Q56781374 | ||
| Five (or so) challenges for species distribution modelling | Q57014216 | ||
| A statistical explanation of MaxEnt for ecologists | Q57062660 | ||
| Species Distribution Models: Ecological Explanation and Prediction Across Space and Time | Q57062685 | ||
| Rethinking receiver operating characteristic analysis applications in ecological niche modeling | Q57197602 | ||
| The relative importance of climate and habitat in determining the distributions of species at different spatial scales: a case study with ground beetles in Great Britain | Q57251275 | ||
| Presence-only modelling using MAXENT: when can we trust the inferences? | Q57878008 | ||
| P433 | issue | 8 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | ecological invasion risk | Q112042646 |
| invasion prediction | Q124001792 | ||
| P6104 | maintained by WikiProject | WikiProject Invasion Biology | Q56241615 |
| P1104 | number of pages | 11 | |
| P304 | page(s) | 884-894 | |
| P577 | publication date | 2014-03-19 | |
| P1433 | published in | Diversity and Distributions | Q1230581 |
| P1476 | title | Combining global climate and regional landscape models to improve prediction of invasion risk | |
| P478 | volume | 20 |
| Q56418810 | A multi-scale approach to identify invasion drivers and invaders’ future dynamics |
| Q56937432 | An Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily Maximum Air Temperature |
| Q56348468 | Climatic niche shift of aquatic plant invaders between native and invasive ranges: a test using 10 species across different biomes on a global scale |
| Q56940892 | Effects of Elodea nuttallii on temperate freshwater plants, microalgae and invertebrates: small differences between invaded and uninvaded areas |
| Q55315406 | Insights from modeling studies on how climate change affects invasive alien species geography. |
| Q38381948 | Integrating subsistence practice and species distribution modeling: assessing invasive elodea's potential impact on Native Alaskan subsistence of Chinook salmon and whitefish |
| Q56331192 | Present and future distribution of three aquatic plants taxa across the world: decrease in native and increase in invasive ranges |
| Q56937393 | Using multi-timescale methods and satellite-derived land surface temperature for the interpolation of daily maximum air temperature in Oregon |
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