| P50 | author | Carl Smith | Q47708813 |
| | Rieks D van Klinken | Q56418280 |
| | Leonie Seabrook | Q56553734 |
| | Clive McAlpine | Q58066753 |
| P2860 | cites work | Alien Plants in Checklists and Floras: Towards Better Communication between Taxonomists and Ecologists | Q28959700 |
| | Intercontinental dispersal prior to human translocation revealed in a cryptogenic invasive tree. | Q51185387 |
| | What can decision analysis do for invasive species management? | Q51189341 |
| | Biological invasions: winning the science battles but losing the conservation war? | Q55870208 |
| | Tricks of the Trade: Techniques and Opinions from 38 Experts in Tallgrass Prairie Restoration | Q56554776 |
| | How wide is the “knowing-doing” gap in invasion biology? | Q56765508 |
| | Comparison of alternative strategies for invasive species distribution modeling | Q56766467 |
| | Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement | Q56767877 |
| | Predicting potential distributions of invasive species: where to go from here? | Q56767892 |
| | Predicting invasions in Australia by a Neotropical shrub under climate change: the challenge of novel climates and parameter estimation | Q56770091 |
| | Ecology and management of alien plant invasions in South African fynbos: Accommodating key complexities in objective decision making | Q56770778 |
| | Surveillance protocols for management of invasive plants: modelling Chilean needle grass (Nassella neesiana) in Australia | Q56771010 |
| | Modelling non-equilibrium distributions of invasive species: a tale of two modelling paradigms | Q56771243 |
| | The role of research for integrated management of invasive species, invaded landscapes and communities | Q56775015 |
| | Beyond control: wider implications for the management of biological invasions | Q56779938 |
| | The spatial spread of invasions: new developments in theory and evidence | Q56784460 |
| | Accommodating scenarios of climate change and management in modelling the distribution of the invasive tree Schinus molle in South Africa | Q56922818 |
| | What are the key drivers of spread in invasive plants: dispersal, demography or landscape: and how can we use this knowledge to aid management? | Q56925933 |
| | Novel methods improve prediction of species’ distributions from occurrence data | Q57014231 |
| | Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? | Q57198258 |
| | Predicting a ‘tree change’ in Australia's tropical savannas: Combining different types of models to understand complex ecosystem behaviour | Q58968068 |
| | Developing decision support tools for rangeland management by combining state and transition models and Bayesian belief networks | Q58968082 |
| | Using a Bayesian belief network to predict suitable habitat of an endangered mammal – The Julia Creek dunnart (Sminthopsis douglasi) | Q58968123 |
| P433 | issue | 8 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | land management | Q2001056 |
| | invasion potential | Q111535748 |
| | invasion management | Q113019190 |
| P6104 | maintained by WikiProject | WikiProject Invasion Biology | Q56241615 |
| P1104 | number of pages | 14 | |
| P304 | page(s) | 818-831 | |
| P577 | publication date | 2011-12-28 | |
| P1433 | published in | Diversity and Distributions | Q1230581 |
| P1476 | title | Estimating the influence of land management change on weed invasion potential using expert knowledge | |
| P478 | volume | 18 | |