Modelling Native and Invasive Woody Species: A Comparison of ENFA and MaxEnt Applied to the Azorean Forest

Modelling Native and Invasive Woody Species: A Comparison of ENFA and MaxEnt Applied to the Azorean Forest is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1007/978-3-319-55236-1_20

P50authorEduardo Brito de AzevedoQ56380726
P2093author name stringHugo Costa
Luís Silva
Mário Alves
Rui Bento Elias
Lara Dutra Silva
Vasco Medeiros
P2860cites workTrade, transport and trouble: managing invasive species pathways in an era of globalizationQ28342453
The continuing challenges of testing species distribution modelsQ29396776
Will climate change drive alien invasive plants into areas of high protection value? An improved model-based regional assessment to prioritise the management of invasions.Q30684449
Sample selection bias and presence-only distribution models: implications for background and pseudo-absence dataQ33422416
Using presence-only and presence-absence data to estimate the current and potential distributions of established invasive speciesQ33826101
On the relative abundance of bird speciesQ37616994
Early detection of emerging forest disease using dispersal estimation and ecological niche modelingQ40090377
Genetic variability and differentiation among populations of the Azorean endemic gymnosperm Juniperus brevifolia: baseline information for a conservation and restoration perspective.Q51596230
Volcanic history and 40Ar/39Ar and 14C geochronology of Terceira Island, Azores, PortugalQ56389007
Multimodel Inference: Understanding AIC and BIC in Model SelectionQ56390541
AUC: a misleading measure of the performance of predictive distribution modelsQ56445156
Spatial analysis facilitates invasive species risk assessmentQ56453170
Evaluating ecological-niche factor analysis as a modelling tool for environmental weed management in island systemsQ56505428
Predicting successful replacement of forest invaders by native species using species distribution models: The case of Pittosporum undulatum and Morella faya in the AzoresQ56550106
Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasionQ56600590
Projecting trends in plant invasions in Europe under different scenarios of future land-use changeQ56612581
Evaluating resource selection functionsQ56687539
Assessing the areas under risk of invasion within islands through potential distribution modelling: The case of Pittosporum undulatum in São Miguel, AzoresQ56765712
Integrating species distribution models and interacting particle systems to predict the spread of an invasive alien plantQ56768456
A global comparison of plant invasions on oceanic islandsQ56769557
Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?Q56769674
Predicting the potential distribution of invasive ring-necked parakeets Psittacula krameri in northern Belgium using an ecological niche modelling approachQ56772036
A Quantitative Approach to the Study of Non-indigenous Plants: An Example from the Azores ArchipelagoQ56780971
Predicting species distribution: offering more than simple habitat modelsQ56785411
Conservation of oceanic island floras: Present and future global challengesQ56936740
Analysing and mapping species range dynamics using occupancy modelsQ57009421
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Novel methods improve prediction of species’ distributions from occurrence dataQ57014231
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BIOMOD - a platform for ensemble forecasting of species distributionsQ57021233
Global mapping of Jatropha curcas yield based on response of fitness to present and future climateQ57021566
Modelling the local climate in island environments: water balance applicationsQ57027091
Distribution, habitat and biomass of Pittosporum undulatum, the most important woody plant invader in the Azores ArchipelagoQ57027226
A statistical explanation of MaxEnt for ecologistsQ57062660
Species Distribution Models: Ecological Explanation and Prediction Across Space and TimeQ57062685
How does selection of climate variables affect predictions of species distributions? A case study of three new weeds in New ZealandQ57066227
A comparison of methods for mapping species ranges and species richnessQ57193903
The effect of sample size and species characteristics on performance of different species distribution modeling methodsQ57193912
Rethinking receiver operating characteristic analysis applications in ecological niche modelingQ57197602
Volcanic geology and eruption frequency, S�o Miguel, AzoresQ57866094
Modelling bryophyte distribution based on ecological information for extent of occurrence assessmentQ57944313
Modelling distribution and abundance with presence-only dataQ58389978
A comprehensive framework for global patterns in biodiversityQ59405830
Invasion by Pittosporum undulatum of the Forests of Central Victoria. I. Invasion Patterns and Plant MorphologyQ59429874
Not as good as they seem: the importance of concepts in species distribution modellingQ60148136
Mathematical contributions to link biota with environmentQ60345389
Modelos de distribución de especies: Una revisión sintéticaQ60345913
Ground validation of presence-only modelling with rare species: a case study on barbastellesBarbastella barbastellus(Chiroptera: Vespertilionidae)Q60442584
Allelopathic potential of Acacia melanoxylon on the germination and root growth of native speciesQ60494311
Modelling potential distribution of the threatened tree species Juniperus oxycedrus: how to evaluate the predictions of different modelling approaches?Q60518479
A Characterization of the Non-indigenous Flora of the Azores ArchipelagoQ60554907
Heartwood and sapwood variation in Acacia melanoxylon R. Br. trees in PortugalQ62752420
Assessing the diagnostic accuracy of a sequence of testsQ73822046
P407language of work or nameEnglishQ1860
P921main subjectMaxentQ1913760
forest invasionQ122802972
P6104maintained by WikiProjectWikiProject Invasion BiologyQ56241615
P1104number of pages30
P304page(s)415-444
P577publication date2017-01-01
P1433published inSpringer Proceedings in Mathematics & StatisticsQ53968456
P1476titleModelling Native and Invasive Woody Species: A Comparison of ENFA and MaxEnt Applied to the Azorean Forest

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