scholarly article | Q13442814 |
P356 | DOI | 10.1111/2041-210X.12609 |
P50 | author | Robert B O'Hara | Q42595365 |
Barbara J. Anderson | Q46074570 | ||
Ralf Ohlemüller | Q112657785 | ||
P2093 | author name string | Mark J. Brewer | |
P2860 | cites work | Predictive modeling and mapping of Malayan Sun Bear (Helarctos malayanus) distribution using maximum entropy | Q21133921 |
Ecology driving genetic variation: a comparative phylogeography of jungle cat (Felis chaus) and leopard cat (Prionailurus bengalensis) in India | Q21136070 | ||
Extinction risk from climate change | Q22122497 | ||
Multivariate Adaptive Regression Splines | Q22670826 | ||
Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests | Q22673963 | ||
Climate change risks and conservation implications for a threatened small-range mammal species | Q28752398 | ||
Opening the climate envelope reveals no macroscale associations with climate in European birds | Q28756833 | ||
Green sturgeon distribution in the Pacific Ocean estimated from modeled oceanographic features and migration behavior | Q30463256 | ||
Predicting the geography of species' invasions via ecological niche modeling. | Q31037249 | ||
Ensemble forecasting of species distributions | Q31063210 | ||
Regression analysis of spatial data | Q33526633 | ||
Anticipating knowledge to inform species management: predicting spatially explicit habitat suitability of a colonial vulture spreading its range | Q33682053 | ||
Why do species co-occur? A test of alternative hypotheses describing abiotic differences in sympatry versus allopatry using spadefoot toads | Q34221200 | ||
Reconsidering the specialist-generalist paradigm in niche breadth dynamics: resource gradient selection by Canada lynx and bobcat | Q34511048 | ||
Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model | Q45716155 | ||
Equivalence of MAXENT and Poisson point process models for species distribution modeling in ecology. | Q51167138 | ||
Developmental database for phenology models: related insect and mite species have similar thermal requirements. | Q51572315 | ||
Low-rank scale-invariant tensor product smooths for generalized additive mixed models. | Q51927035 | ||
A general rule for the dependence of developmental rate on temperature in ectothermic animals. | Q52088690 | ||
Dynamics of range margins for metapopulations under climate change. | Q55051670 | ||
The Niche-Relationships of the California Thrasher | Q55922851 | ||
Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction | Q56221737 | ||
Bayesian image restoration, with two applications in spatial statistics | Q56559498 | ||
Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models | Q56744731 | ||
The art of modelling range-shifting species | Q56765761 | ||
Understanding co-occurrence by modelling species simultaneously with a Joint Species Distribution Model (JSDM) | Q56785310 | ||
Predicting species distribution: offering more than simple habitat models | Q56785411 | ||
Methods to account for spatial autocorrelation in the analysis of species distributional data: a review | Q56817176 | ||
Assessing transferability of ecological models: an underappreciated aspect of statistical validation | Q56924631 | ||
Novel methods improve prediction of species’ distributions from occurrence data | Q57014231 | ||
Predictive habitat distribution models in ecology | Q57014283 | ||
Correlation and process in species distribution models: bridging a dichotomy | Q57019842 | ||
Equilibrium of species’ distributions with climate | Q57021382 | ||
Effects of restricting environmental range of data to project current and future species distributions | Q57021419 | ||
Point process models for presence-only analysis | Q57062642 | ||
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 | ||
Special Paper: Modelling Present and Potential Future Ranges of Some European Higher Plants Using Climate Response Surfaces | Q57130794 | ||
A test of niche centrality as a determinant of population trends and conservation status in threatened and endangered North American birds | Q57197573 | ||
Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas | Q57197581 | ||
Variation in niche and distribution model performance: The need for a priori assessment of key causal factors | Q57197589 | ||
The crucial role of the accessible area in ecological niche modeling and species distribution modeling | Q57197591 | ||
SPECIES: A Spatial Evaluation of Climate Impact on the Envelope of Species | Q57198264 | ||
The past, present and potential future distributions of cold-adapted bird species | Q57251270 | ||
Using distribution models to test alternative hypotheses about a species’ environmental limits and recovery prospects | Q57251302 | ||
Quantifying components of risk for European woody species under climate change | Q57251312 | ||
Red herrings remain in geographical ecology: a reply to Hawkins et al. (2007) | Q57616183 | ||
Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range | Q58240315 | ||
Weighted averaging, logistic regression and the Gaussian response model | Q59050133 | ||
P433 | issue | 12 | |
P921 | main subject | species distribution | Q250388 |
species distribution modelling | Q117051118 | ||
species distribution model | Q122175981 | ||
P6104 | maintained by WikiProject | WikiProject Ecology | Q10818384 |
P304 | page(s) | 1489-1502 | |
P577 | publication date | 2016-07-30 | |
P1433 | published in | Methods in Ecology and Evolution | Q15710059 |
P1476 | title | Plateau: a new method for ecologically plausible climate envelopes for species distribution modelling | |
P478 | volume | 7 |