| scholarly article | Q13442814 |
| P356 | DOI | 10.1007/S10530-015-0914-3 |
| P5875 | ResearchGate publication ID | 277584796 |
| P50 | author | David G. Angeler | Q89988008 |
| Craig R Allen | Q92739221 | ||
| Daniel R. Uden | Q107989291 | ||
| P2093 | author name string | Kent A. Fricke | |
| Lucía Corral | |||
| P2860 | cites work | Modelling the potential geographic distribution of invasive ant species in New Zealand | Q56777326 |
| Prediction and validation of the potential global distribution of a problematic alien invasive species - the American bullfrog | Q56777550 | ||
| Optimal detection and control strategies for invasive species management | Q56778516 | ||
| Boats, Pathways, and Aquatic Biological Invasions: Estimating Dispersal Potential with Gravity Models | Q56781374 | ||
| Modelling local and long-distance dispersal of invasive emerald ash borer Agrilus planipennis (Coleoptera) in North America | Q56781899 | ||
| Managing invasive species: Rules of thumb for rapid assessment | Q56782567 | ||
| Lag times and exotic species: The ecology and management of biological invasions in slow-motion1 | Q56784483 | ||
| Predicting species distribution: offering more than simple habitat models | Q56785411 | ||
| PREDICTING INVASIONS: PROPAGULE PRESSURE AND THE GRAVITY OF ALLEE EFFECTS | Q56785513 | ||
| Why do we map threats? Linking threat mapping with actions to make better conservation decisions | Q56834969 | ||
| Residence time and potential range: crucial considerations in modelling plant invasions | Q56922965 | ||
| Predicting global change impacts on plant species’ distributions: Future challenges | Q57014150 | ||
| WHAT MATTERS FOR PREDICTING THE OCCURRENCES OF TREES: TECHNIQUES, DATA, OR SPECIES' CHARACTERISTICS? | Q57014207 | ||
| Improving generalized regression analysis for the spatial prediction of forest communities | Q57014219 | ||
| Novel methods improve prediction of species’ distributions from occurrence data | Q57014231 | ||
| Predictive habitat distribution models in ecology | Q57014283 | ||
| Model-based uncertainty in species range prediction | Q57021356 | ||
| Effects of restricting environmental range of data to project current and future species distributions | Q57021419 | ||
| Something from nothing: Using landscape similarity and ecological niche modeling to find rare plant species | Q57046403 | ||
| Improving the Quality of Distribution Models for Conservation by Addressing Shortcomings in the Field Collection of Training Data | Q57057174 | ||
| A statistical explanation of MaxEnt for ecologists | Q57062660 | ||
| Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models | Q57062678 | ||
| Species Distribution Models: Ecological Explanation and Prediction Across Space and Time | Q57062685 | ||
| Error and uncertainty in habitat models | Q57062719 | ||
| Mapping epistemic uncertainties and vague concepts in predictions of species distribution | Q57062742 | ||
| A Coefficient of Agreement for Nominal Scales | Q57167717 | ||
| The effect of sample size and species characteristics on performance of different species distribution modeling methods | Q57193912 | ||
| Marshalling existing biodiversity data to evaluate biodiversity status and trends in planning exercises | Q57197595 | ||
| Rethinking receiver operating characteristic analysis applications in ecological niche modeling | Q57197602 | ||
| An Introduction to Statistical Learning | Q21473973 | ||
| Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests | Q22673963 | ||
| Incorporating uncertainty in predictive species distribution modelling | Q26998523 | ||
| Update on the environmental and economic costs associated with alien-invasive species in the United States | Q28111758 | ||
| Multivariate forecasts of potential distributions of invasive plant species | Q28239416 | ||
| The Problem of Pattern and Scale in Ecology: The Robert H. MacArthur Award Lecture | Q29010661 | ||
| Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author) | Q29011672 | ||
| Very high resolution interpolated climate surfaces for global land areas | Q29642135 | ||
| Adaptive management for a turbulent future. | Q30397609 | ||
| Comment on "Climatic niche shifts are rare among terrestrial plant invaders". | Q30573429 | ||
| Increase in quantity and quality of suitable areas for invasive species as climate changes | Q30656146 | ||
| Plant invasion across space and time: factors affecting nonindigenous species success during four stages of invasion | Q30834130 | ||
| Alien invasive slider turtle in unpredicted habitat: a matter of niche shift or of predictors studied? | Q30945066 | ||
| Connecting differential responses of native and invasive riparian plants to climate change and environmental alteration | Q30982986 | ||
| Modeling false positive detections in species occurrence data under different study designs. | Q30984950 | ||
| Predicting distributions of known and unknown reptile species in Madagascar | Q31033586 | ||
| Predicting the geography of species' invasions via ecological niche modeling. | Q31037249 | ||
| Ensemble forecasting of species distributions | Q31063210 | ||
| Uses and misuses of bioclimatic envelope modeling | Q31087201 | ||
| Projected distributions of novel and disappearing climates by 2100 AD | Q31107090 | ||
| Usefulness of bioclimatic models for studying climate change and invasive species | Q31159856 | ||
| New developments in museum-based informatics and applications in biodiversity analysis | Q33243456 | ||
| Quantifying uncertainty in the potential distribution of an invasive species: climate and the Argentine ant. | Q33254812 | ||
| Limitations of biodiversity databases: case study on seed-plant diversity in Tenerife, Canary Islands | Q33285893 | ||
| Grinnellian and Eltonian niches and geographic distributions of species | Q33298662 | ||
| Components of uncertainty in species distribution analysis: a case study of the Great Grey Shrike | Q33399205 | ||
| 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 | ||
| Integrating bioclimate with population models to improve forecasts of species extinctions under climate change | Q33485664 | ||
| The niche, limits to species' distributions, and spatiotemporal variation in demography across the elevation ranges of two monkeyflowers | Q33508745 | ||
| Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? | Q57198258 | ||
| How does the knowledge about the spatial distribution of Iberian dung beetle species accumulate over time? | Q57205130 | ||
| Analysis of pattern–process interactions based on landscape models—Overview, general concepts, and methodological issues | Q57242867 | ||
| Accounting for spatial pattern when modeling organism-environment interactions | Q57257763 | ||
| Spatial Autocorrelation: Trouble or New Paradigm? | Q57257766 | ||
| Mixed effects models and extensions in ecology with R | Q57623181 | ||
| Evaluating presence-absence models in ecology: the need to account for prevalence | Q57836652 | ||
| The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range? | Q58045798 | ||
| Conservation in the face of climate change: The roles of alternative models, monitoring, and adaptation in confronting and reducing uncertainty | Q58241204 | ||
| Resilience, experimentation, and scale mismatches in social-ecological landscapes | Q58380834 | ||
| The projection of species distribution models and the problem of non-analog climate | Q58709264 | ||
| Challenges of species distribution modeling belowground | Q58728830 | ||
| Uncertainty in ensemble forecasting of species distribution | Q59308826 | ||
| The Global Invasive Species Information Network: What's in It for You? | Q59786734 | ||
| PUTTING A CART BEFORE THE SEARCH: SUCCESSFUL HABITAT PREDICTION FOR A RARE FOREST HERB | Q59846495 | ||
| Spatial autocorrelation and red herrings in geographical ecology | Q60148071 | ||
| The uncertain nature of absences and their importance in species distribution modelling | Q60148121 | ||
| Not as good as they seem: the importance of concepts in species distribution modelling | Q60148136 | ||
| Threshold criteria for conversion of probability of species presence to either–or presence–absence | Q60148151 | ||
| Habitat, environment and niche: what are we modelling? | Q60365454 | ||
| MAPPING THE FUNDAMENTAL NICHE: PHYSIOLOGY, CLIMATE, AND THE DISTRIBUTION OF A NOCTURNAL LIZARD | Q60365494 | ||
| Spatial regression methods capture prediction uncertainty in species distribution model projections through time | Q60551054 | ||
| Toward a Global Information System for Invasive Species | Q63628280 | ||
| Spatial scale and the spread of a fungal pathogen of gypsy moth | Q82041113 | ||
| Additive logistic regression: a statistical view of boosting | Q93494458 | ||
| Ecological impacts of invasive alien plants: a meta-analysis of their effects on species, communities and ecosystems | Q33904581 | ||
| Climatic niche shifts are rare among terrestrial plant invaders | Q34197784 | ||
| Habitat fragmentation: simple models for local persistence and the spread of invasive species | Q34334674 | ||
| Strategies and statistics of sampling for rare individuals | Q34453704 | ||
| Learning-by-catching: uncertain invasive-species populations and the value of information | Q34674598 | ||
| Modeling disturbance-based native invasive species control and its implications for management | Q35023744 | ||
| Ecological impacts of invasive alien species along temperature gradients: testing the role of environmental matching | Q35716611 | ||
| Projecting rates of spread for invasive species | Q35882808 | ||
| Predicting current and future biological invasions: both native and invaded ranges matter | Q37028819 | ||
| Machine learning methods without tears: a primer for ecologists | Q37208718 | ||
| In defense of P values | Q38209951 | ||
| Conservation biology. Predictive ecology to the rescue? | Q40622599 | ||
| Spatial analysis improves species distribution modelling during range expansion | Q43218583 | ||
| P values are only an index to evidence: 20th- vs. 21st-century statistical science | Q43515047 | ||
| A working guide to boosted regression trees | Q44583998 | ||
| Building statistical models to analyze species distributions | Q46355031 | ||
| Predicting habitat suitability for rare plants at local spatial scales using a species distribution model | Q46825271 | ||
| The role of reserves and anthropogenic habitats for functional connectivity and resilience of ephemeral wetlands. | Q46953981 | ||
| Long-term changes in a population of an invasive bivalve and its effects | Q46962084 | ||
| Predators vs. alien: differential biotic resistance to an invasive species by two resident predators | Q51146327 | ||
| Habitat destruction, fragmentation, and disturbance promote invasion by habitat generalists in a multispecies metapopulation. | Q51189339 | ||
| What can decision analysis do for invasive species management? | Q51189341 | ||
| An ounce of prevention or a pound of cure: bioeconomic risk analysis of invasive species. | Q51190865 | ||
| Confronting socially generated uncertainty in adaptive management | Q51616674 | ||
| Using niche-based models to improve the sampling of rare species. | Q51722799 | ||
| Decomposing propagule pressure: the effects of propagule size and propagule frequency on invasion success | Q55328204 | ||
| An Integrated Approach to the Ecology and Management of Plant Invasions | Q55839669 | ||
| Modeling Invasive Plant Spread: The Role of Plant-Environment Interactions and Model Structure | Q55839739 | ||
| The Population Biology of Invasive Species | Q55842401 | ||
| The Economics of Invasive Species Management: Biological Pollution Prevention Strategies under Ignorance: The Case of Invasive Species | Q55845526 | ||
| The Landscape Ecology of Invasive Spread | Q55869703 | ||
| Potential Global Range Expansion of the Invasive Fire Ant, Solenopsis invicta | Q55870492 | ||
| Principal component analysis | Q55921966 | ||
| Integrating landscape connectivity and habitat suitability to guide offensive and defensive invasive species management | Q56435474 | ||
| Space to invade? Comparative range infilling and potential range of invasive and native plants | Q56438138 | ||
| Rapid ecological replacement of a native bumble bee by invasive species | Q56461328 | ||
| Implementing and interpreting local-scale invasive species distribution models | Q56487647 | ||
| Distribution models of invasive plants over-estimate potential impact | Q56490800 | ||
| Predictors of regional establishment success and spread of introduced non-indigenous vertebrates | Q56491396 | ||
| Foxes are now widespread in Tasmania: DNA detection defines the distribution of this rare but invasive carnivore | Q56512526 | ||
| Modelling invasive alien species distributions from digital biodiversity atlases. Model upscaling as a means of reconciling data at different scales | Q56530832 | ||
| Does adding multi-scale climatic variability improve our capacity to explain niche transferability in invasive species? | Q56533173 | ||
| Invasive species distribution models - how violating the equilibrium assumption can create new insights | Q56537276 | ||
| Geographic profiling as a novel spatial tool for targeting the control of invasive species | Q56554482 | ||
| Spatiotemporal complexity of biological invasion in a space- and time-discrete predator–prey system with the strong Allee effect | Q56574650 | ||
| Understanding niche shifts: using current and historical data to model the invasive redlegged earth mite, Halotydeus destructor | Q56579223 | ||
| Insight on Invasions and Resilience Derived from Spatiotemporal Discontinuities of Biomass at Local and Regional Scales | Q56589164 | ||
| Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion | Q56600590 | ||
| Accounting for multi-scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM) | Q56608226 | ||
| Climate change and plant invasions: restoration opportunities ahead? | Q56623951 | ||
| Use of niche models in invasive species risk assessments | Q56647246 | ||
| Accounting for uncertainty when mapping species distributions: The need for maps of ignorance | Q56754576 | ||
| The art of modelling range-shifting species | Q56765761 | ||
| Risk assessment: Simultaneously prioritizing the control of invasive plant species and the conservation of rare plant species | Q56766535 | ||
| Predicting potential distributions of invasive species: where to go from here? | Q56767892 | ||
| Integrating species distribution models and interacting particle systems to predict the spread of an invasive alien plant | Q56768456 | ||
| Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions? | Q56769674 | ||
| The more you introduce the more you get: the role of colonization pressure and propagule pressure in invasion ecology | Q56770536 | ||
| When Invasive Plants Disappear: Transformative Restoration Possibilities in the Western United States Resulting from Climate Change | Q56770689 | ||
| Modelling non-equilibrium distributions of invasive species: a tale of two modelling paradigms | Q56771243 | ||
| Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions | Q56771622 | ||
| Consensual predictions of potential distributional areas for invasive species: a case study of Argentine ants in the Iberian Peninsula | Q56771836 | ||
| A management framework for preventing the secondary spread of aquatic invasive species | Q56774126 | ||
| The spread of invasive species and infectious disease as drivers of ecosystem change | Q56774507 | ||
| A hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove | Q56775286 | ||
| P433 | issue | 10 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | invasive species | Q183368 |
| species distribution | Q250388 | ||
| species distribution modelling | Q117051118 | ||
| species distribution model | Q122175981 | ||
| P6104 | maintained by WikiProject | WikiProject Invasion Biology | Q56241615 |
| P1104 | number of pages | 20 | |
| P304 | page(s) | 2831-2850 | |
| P577 | publication date | 2015-05-31 | |
| P1433 | published in | Biological Invasions | Q15763359 |
| P1476 | title | Adaptive invasive species distribution models: a framework for modeling incipient invasions | |
| P478 | volume | 17 |
| Q90159926 | A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales |
| Q111163278 | A robust optimization approach for solving problems in conservation planning |
| Q56331245 | A unified framework to model the potential and realized distributions of invasive species within the invaded range |
| Q92460265 | Adaptive capacity in ecosystems |
| Q56379934 | Biotic interactions with natural enemies do not affect potential range expansion of three invasive plants in response to climate change |
| Q111312865 | Challenges in updating habitat suitability models: An example with the lesser prairie-chicken |
| Q36363853 | Climatic-Induced Shifts in the Distribution of Teak (Tectona grandis) in Tropical Asia: Implications for Forest Management and Planning |
| Q110829978 | Combined Effects of Global Climate Suitability and Regional Environmental Variables on the Distribution of an Invasive Marsh Species Spartina alterniflora |
| Q95293771 | Coyote (Canis latrans) in South America: Potential routes of colonization |
| Q51149212 | Doublethink and scale mismatch polarize policies for an invasive tree. |
| Q60432488 | Early Engagement of Stakeholders with Individual-Based Modeling Can Inform Research for Improving Invasive Species Management: The Round Goby as a Case Study |
| Q60469777 | Ensemble approach for potential habitat mapping of invasive spp in Turkana, Kenya |
| Q110531074 | Forecasting the future establishment of invasive alien freshwater fish species |
| Q64916758 | Improving Species Distribution Modelling of freshwater invasive species for management applications. |
| Q111155292 | In situ adaptation and ecological release facilitate the occupied niche expansion of a non‐native Madagascan day gecko in Florida |
| Q55098247 | Invasion complexity at large spatial scales is an emergent property of interactions among landscape characteristics and invader traits. |
| Q110626317 | Iterative Models for Early Detection of Invasive Species across Spread Pathways |
| Q110626038 | Keys to enhancing the value of invasion ecology research for management |
| Q107088013 | Landscape epidemiology of Batrachochytrium salamandrivorans : reconciling data limitations and conservation urgency |
| Q60523418 | Modeling water quality in the Anthropocene: directions for the next-generation aquatic ecosystem models |
| Q111491429 | Modelling species distributions and environmental suitability highlights risk of plant invasions in western United States |
| Q111160225 | Oh the places they’ll go: improving species distribution modelling for invasive forest pests in an uncertain world |
| Q32945125 | Pervasive human-mediated large-scale invasion: analysis of spread patterns and their underlying mechanisms in 17 of China's worst invasive plants |
| Q111320300 | Predicting the potential distribution and forest impact of the invasive species Cydalima perspectalis in Europe |
| Q56380201 | Regional Suitability Assessment for the Hawkweed (Hieracium pilosella) Invasion in Patagonian Rangelands |
| Q61465177 | Thermal Tolerance Limits of the Chinese Mystery Snail (Bellamya chinensis): Implications for Management |
| Q92267080 | Uncovering the rules of microbial community invasions |
| Q35899807 | Unveiling the status of alien animals in the arid zone of Asia |
| Q111159770 | Using biased sampling data to model the distribution of invasive shot-hole borers in California |
| Q111163251 | Using fine-scale field data modelling for planning the management of invasions of Oenothera stucchii in coastal dune systems |
| Q56414012 | Using maximum entropy to predict the potential distribution of an invasive freshwater snail |
| Q38735835 | When mechanism matters: Bayesian forecasting using models of ecological diffusion |
Search more.