| P50 | author | John Clark | Q56451503 |
| P2093 | author name string | Yeqiao Wang | |
| | Peter V August | |
| P2860 | cites work | Biodiversity loss and its impact on humanity | Q22122163 |
| | The velocity of climate change | Q22122204 |
| | Alien species in a warmer world: risks and opportunities | Q22162492 |
| | Update on the environmental and economic costs associated with alien-invasive species in the United States | Q28111758 |
| | BIOTIC INVASIONS: CAUSES, EPIDEMIOLOGY, GLOBAL CONSEQUENCES, AND CONTROL | Q28315407 |
| | The Problem of Pattern and Scale in Ecology: The Robert H. MacArthur Award Lecture | Q29010661 |
| | Climate change and the past, present, and future of biotic interactions | Q30658794 |
| | Does global change increase the success of biological invaders? | Q30697985 |
| | Interactions of climate change with biological invasions and land use in the Hawaiian Islands: Modeling the fate of endemic birds using a geographic information system | Q30738164 |
| | Ensemble forecasting of species distributions | Q31063210 |
| | Managing tree-of-heaven (Ailanthus altissima) in parks and protected areas: a case study of Rondeau Provincial Park (Ontario, Canada). | Q33238612 |
| | Predicting plant invasions in an era of global change | Q33526159 |
| | Ecological impacts of invasive alien plants: a meta-analysis of their effects on species, communities and ecosystems | Q33904581 |
| | Shifting plant phenology in response to global change | Q34625306 |
| | Ensemble habitat mapping of invasive plant species | Q38469252 |
| | Drought resistance of Ailanthus altissima: root hydraulics and water relations | Q39533582 |
| | Combining local- and large-scale models to predict the distributions of invasive plant species. | Q46032410 |
| | Niche-based modelling as a tool for predicting the risk of alien plant invasions at a global scale | Q47462141 |
| | Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. | Q51172584 |
| | Invasion of an Old-Growth Forest in New York by Ailanthus altissima: Sapling Growth and Recruitment in Canopy Gaps | Q55842247 |
| | The Population Biology of Invasive Species | Q55842401 |
| | Concluding Remarks | Q55896758 |
| | Forest Ecology of Ice Storms | Q56095569 |
| | AUC: a misleading measure of the performance of predictive distribution models | Q56445156 |
| | Predicting Species Invasions Using Ecological Niche Modeling: New Approaches from Bioinformatics Attack a Pressing Problem | Q56594944 |
| | Biological flora of Central Europe: Ailanthus altissima (Mill.) Swingle | Q56639511 |
| | Use of niche models in invasive species risk assessments | Q56647246 |
| | The art of modelling range-shifting species | Q56765761 |
| | Comparison of alternative strategies for invasive species distribution modeling | Q56766467 |
| | Near term climate projections for invasive species distributions | Q56771283 |
| | Water dispersal as an additional pathway to invasions by the primarily wind-dispersed tree Ailanthus altissima | Q56773666 |
| | Germination and early growth of Ailanthus and tulip poplar in three levels of forest disturbance | Q56778481 |
| | Predicting species distribution: offering more than simple habitat models | Q56785411 |
| | Climate Change and Forest Disturbances | Q56866895 |
| | Predicting global change impacts on plant species’ distributions: Future challenges | Q57014150 |
| | Sensitivity of predictive species distribution models to change in grain size | Q57014193 |
| | Novel methods improve prediction of species’ distributions from occurrence data | Q57014231 |
| | Predictive habitat distribution models in ecology | Q57014283 |
| | The importance of biotic interactions for modelling species distributions under climate change | Q57021322 |
| | Presence-absence versus presence-only modelling methods for predicting bird habitat suitability | Q57021426 |
| | 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 |
| | The ability of climate envelope models to predict the effect of climate change on species distributions | Q57193909 |
| | The effect of sample size and species characteristics on performance of different species distribution modeling methods | Q57193912 |
| | An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data | Q57197720 |
| | Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data | Q57198250 |
| | An Overview of CMIP5 and the Experiment Design | Q57229036 |
| | The representative concentration pathways: an overview | Q57265932 |
| | Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006 | Q57445784 |
| | The Nature and Value of Ecosystem Services: An Overview Highlighting Hydrologic Services | Q58241167 |
| | Growing season changes in the last century | Q59204786 |
| | Analysis of interactions between the invasive tree-of-heaven (Ailanthus altissima) and the native black locust (Robinia pseudoacacia) | Q60568064 |
| P433 | issue | 1643 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | habitat | Q52105 |
| P6104 | maintained by WikiProject | WikiProject Invasion Biology | Q56241615 |
| P304 | page(s) | 20130192 | |
| P577 | publication date | 2014-01-01 | |
| P1433 | published in | Philosophical Transactions of the Royal Society B | Q2153239 |
| P1476 | title | Assessing current and projected suitable habitats for tree-of-heaven along the Appalachian Trail | |
| P478 | volume | 369 | |