scholarly article | Q13442814 |
P819 | ADS bibcode | 2015PLoSO..1025801G |
P356 | DOI | 10.1371/JOURNAL.PONE.0125801 |
P953 | full work available at URL | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4446263 |
P932 | PMC publication ID | 4446263 |
P698 | PubMed publication ID | 26018575 |
P5875 | ResearchGate publication ID | 277307942 |
P50 | author | David C. Aldridge | Q56446513 |
Belinda Gallardo | Q56558990 | ||
Alexandra Zieritz | Q29950041 | ||
P2860 | cites work | Beyond climate: disturbance niche shifts in invasive species | Q56438141 |
AUC: a misleading measure of the performance of predictive distribution models | Q56445156 | ||
Europe’s top 10 invasive species: relative importance of climatic, habitat and socio-economic factors | Q56449952 | ||
Plant invasions are context-dependent: multiscale effects of climate, human activity and habitat | Q56451437 | ||
Invasion ratcheting in the zebra mussel (Dreissena polymorpha) and the ability of native and invaded ranges to predict its global distribution | Q56460607 | ||
The ‘dirty dozen’: socio-economic factors amplify the invasion potential of 12 high-risk aquatic invasive species in Great Britain and Ireland | Q56502187 | ||
Application of bioclimatic models coupled with network analysis for risk assessment of the killer shrimp, Dikerogammarus villosus, in Great Britain | Q56558988 | ||
Effects of roads and forest successional age on experimental plant invasions | Q56769971 | ||
Forest Roads Facilitate the Spread of Invasive Plants | Q56771054 | ||
European map of alien plant invasions based on the quantitative assessment across habitats | Q56772727 | ||
Modelling chorotypes of invasive vertebrates in mainland Spain | Q56775248 | ||
Predicting species distribution: offering more than simple habitat models | Q56785411 | ||
Bio-ORACLE: a global environmental dataset for marine species distribution modelling | Q56975167 | ||
Novel methods improve prediction of species’ distributions from occurrence data | Q57014231 | ||
A statistical explanation of MaxEnt for ecologists | Q57062660 | ||
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time | Q57062685 | ||
Potential impacts of climate change on the distributions and diversity patterns of European mammals | Q57068532 | ||
The ability of climate envelope models to predict the effect of climate change on species distributions | Q57193909 | ||
Selecting thresholds of occurrence in the prediction of species distributions | Q57198245 | ||
Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data | Q57198250 | ||
Overview of eutrophication indicators to assess environmental status within the European Marine Strategy Framework Directive | Q58403800 | ||
A protocol for data exploration to avoid common statistical problems | Q60015513 | ||
Species-people correlations and the need to account for survey effort in biodiversity analyses | Q60367600 | ||
Registry of non-native species in the Two Seas region countries (Great Britain, France, Belgium and the Netherlands) | Q60451345 | ||
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation | Q107459959 | ||
Heat freezes niche evolution | Q27006928 | ||
Trade, transport and trouble: managing invasive species pathways in an era of globalization | Q28342453 | ||
Will climate change promote future invasions? | Q28660857 | ||
Predicting species distributions for conservation decisions | Q30389858 | ||
Disentangling the role of environmental and human pressures on biological invasions across Europe | Q30495396 | ||
Predicting the fate of biodiversity using species' distribution models: enhancing model comparability and repeatability | Q30566314 | ||
Plant invasion across space and time: factors affecting nonindigenous species success during four stages of invasion | Q30834130 | ||
Niche dynamics in space and time | Q31147318 | ||
Usefulness of bioclimatic models for studying climate change and invasive species | Q31159856 | ||
Fish invasions in the world's river systems: when natural processes are blurred by human activities | Q33318546 | ||
Vectors and timing of freshwater invasions in Great Britain. | Q33449831 | ||
Performance of several variable-selection methods applied to real ecological data | Q33496250 | ||
Linking economic activities to the distribution of exotic plants | Q33580522 | ||
Temperature tolerance and stress proteins as mechanisms of invasive species success | Q33889327 | ||
Anthropogenic disturbance can determine the magnitude of opportunistic species responses on marine urban infrastructures | Q33986087 | ||
Priority setting for invasive species management: risk assessment of Ponto-Caspian invasive species into Great Britain | Q34698553 | ||
A global map of human impact on marine ecosystems | Q34750346 | ||
The risk of marine bioinvasion caused by global shipping. | Q46887907 | ||
Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. | Q51172584 | ||
Review of Ecological Effects of Roads on Terrestrial and Aquatic Communities | Q55841873 | ||
Land-use and socio-economic correlates of plant invasions in European and North African countries | Q55842488 | ||
The Human Footprint and the Last of the Wild | Q56004408 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P433 | issue | 5 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | fresh water | Q102192 |
marine invader | Q116213320 | ||
P6104 | maintained by WikiProject | WikiProject Invasion Biology | Q56241615 |
P304 | page(s) | e0125801 | |
P577 | publication date | 2015-01-01 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | The importance of the human footprint in shaping the global distribution of terrestrial, freshwater and marine invaders | |
P478 | volume | 10 |
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