Jane Elith | Academic Influence

Jane Elith's AcademicInfluence.com Rankings

Jane Elith

Biology

#4831

World Rank

#7153

Historical Rank

Ecology

#420

World Rank

#463

Historical Rank

biology Degrees

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Biology

Jane Elith's Degrees

Bachelors Ecology University of Melbourne
PhD Ecology University of Melbourne

Why Is Jane Elith Influential?

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According to Wikipedia, Professor Jane Elith is an ecologist in the School of Botany at the University of Melbourne. She graduated from the School of Agriculture and Forestry at the University of Melbourne in 1977. She specialises in ecological models that focus on spatial analysis and prediction of the habitat of plant and animal species. Following graduation, she was a research assistant and tutor for three years, and then spent the following 12 years raising her children. She returned to the University of Melbourne in 1992 and later commenced a part-time PhD in the School of Botany. She was awarded her PhD in 2002 on 'Predicting the distribution of plants'. Since then, she has been a research fellow in the School of Botany. She is currently an ARC Future Fellow and sits within the Centre of Excellence for Biosecurity Risk Analysis at the University of Melbourne.

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Jane Elith's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Novel methods improve prediction of species' distributions from occurrence data (2006) (7535)
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance (2013) (5886)
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time (2009) (5005)
A working guide to boosted regression trees. (2008) (4572)
A statistical explanation of MaxEnt for ecologists (2011) (4107)
Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. (2009) (2205)
The art of modelling range‐shifting species (2010) (1969)
Predicting species distributions for conservation decisions (2013) (1373)
Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models (2009) (973)
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2017) (858)
Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment (2007) (786)
Is my species distribution model fit for purpose? Matching data and models to applications (2015) (619)
Error and uncertainty in habitat models (2006) (582)
Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees (2006) (535)
Sensitivity of predictive species distribution models to change in grain size (2007) (506)
The influence of spatial errors in species occurrence data used in distribution models (2007) (447)
What do we gain from simplicity versus complexity in species distribution models (2014) (421)
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions (2006) (396)
Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities (2011) (378)
Comparing species abundance models (2006) (362)
WHAT MATTERS FOR PREDICTING THE OCCURRENCES OF TREES: TECHNIQUES, DATA, OR SPECIES' CHARACTERISTICS? (2007) (361)
Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish (2005) (350)
Quantitative Methods for Modeling Species Habitat: Comparative Performance and an Application to Australian Plants (2000) (334)
Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW (2005) (321)
Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines (2007) (312)
Outstanding Challenges in the Transferability of Ecological Models. (2018) (310)
Bias correction in species distribution models: pooling survey and collection data for multiple species (2014) (305)
Point process models for presence‐only analysis (2015) (300)
Sensitivity of conservation planning to different approaches to using predicted species distribution data (2005) (297)
Mapping epistemic uncertainties and vague concepts in predictions of species distribution (2002) (274)
Presence‐Only Data and the EM Algorithm (2009) (266)
A standard protocol for reporting species distribution models (2020) (251)
Species Distribution Modeling (2019) (247)
Plant extinction risk under climate change: are forecast range shifts alone a good indicator of species vulnerability to global warming? (2012) (222)
A method for spatial freshwater conservation prioritization (2008) (219)
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels (2019) (218)
Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale (2018) (205)
A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD (2019) (198)
The evaluation strip: A new and robust method for plotting predicted responses from species distribution models (2005) (197)
Novel methods for the design and evaluation of marine protected areas in offshore waters (2008) (196)
MANAGING LANDSCAPES FOR CONSERVATION UNDER UNCERTAINTY (2005) (195)
Dispersal, disturbance and the contrasting biogeographies of New Zealand’s diadromous and non‐diadromous fish species (2008) (169)
Determinants of reproductive success in dominant pairs of clownfish: a boosted regression tree analysis. (2011) (163)
Boosted Regression Trees for ecological modeling (2011) (160)
Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference (2018) (151)
Predictions and their validation: Rare plants in the Central Highlands, Victoria, Australia (2002) (146)
Species distribution modeling with R (2016) (137)
On estimating probability of presence from use-availability or presence-background data. (2013) (132)
blockCV: An r package for generating spatially or environmentally separated folds for k‐fold cross‐validation of species distribution models (2018) (131)
POC plots: calibrating species distribution models with presence-only data. (2010) (131)
A comparison of resampling methods for remote sensing classification and accuracy assessment (2018) (130)
Predicting to new environments: tools for visualizing model behaviour and impacts on mapped distributions (2012) (126)
Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models (2020) (123)
Eliciting and integrating expert knowledge for wildlife habitat modelling (2003) (121)
Assessing the impacts of climate change and land transformation on Banksia in the South West Australian Floristic Region (2010) (119)
Planning for robust reserve networks using uncertainty analysis (2006) (114)
blockCV: an R package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models (2018) (114)
Forecasting species range dynamics with process-explicit models: matching methods to applications. (2019) (107)
Projecting climate change impacts on species distributions in megadiverse South African Cape and Southwest Australian Floristic Regions: Opportunities and challenges (2009) (107)
Maxent is not a presence–absence method: a comment on Thibaud et al. (2014) (103)
Green Infrastructure Design Based on Spatial Conservation Prioritization and Modeling of Biodiversity Features and Ecosystem Services (2015) (98)
Uncertainty Analysis for Regional‐Scale Reserve Selection (2006) (98)
Use of generalised dissimilarity modelling to improve the biological discrimination of river and stream classifications (2011) (97)
Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code (2021) (83)
Detecting Extinction Risk from Climate Change by IUCN Red List Criteria (2014) (83)
Predicting distributions of invasive species (2013) (81)
Evaluating 318 continental-scale species distribution models over a 60-year prediction horizon: what factors influence the reliability of predictions? (2017) (76)
Understanding niche shifts: using current and historical data to model the invasive redlegged earth mite, Halotydeus destructor (2012) (63)
Surprisingly fast recovery of biological soil crusts following livestock removal in southern Australia (2011) (59)
Alien invaders and reptile traders: what drives the live animal trade in South Africa? (2010) (54)
Satellite surface reflectance improves habitat distribution mapping: a case study on heath and shrub formations in the Cantabrian Mountains (NW Spain) (2012) (54)
Taxonomic uncertainty and decision making for biosecurity: spatial models for myrtle/guava rust (2012) (49)
Biological soil crust distribution is related to patterns of fragmentation and landuse in a dryland agricultural landscape of southern Australia (2008) (48)
Habitat Models for Population Viability Analysis (2003) (36)
Not all data are equal: Influence of data type and amount in spatial conservation prioritisation (2018) (36)
Predicting distribution changes of a mire ecosystem under future climates (2014) (32)
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models (2011) (26)
Using Species Distribution Models For Fungi (2020) (26)
Modelling species presence‐only data with random forests (2021) (24)
Spatial data for modelling and management of freshwater ecosystems (2012) (21)
Presence-only and Presence-absence Data for Comparing Species Distribution Modeling Methods (2020) (20)
Biocrust morphogroups provide an effective and rapid assessment tool for drylands (2014) (17)
The influence of data source and species distribution modelling method on spatial conservation priorities (2019) (16)
Climate extreme variables generated using monthly time‐series data improve predicted distributions of plant species (2021) (16)
How decisions about fitting species distribution models affect conservation outcomes (2020) (15)
Open access solutions for biodiversity journals: Do not replace one problem with another (2019) (14)
Testing a model of biological soil crust succession (2016) (13)
Interactive effects of climate change and fire on metapopulation viability of a forest-dependent frog in south-eastern Australia (2015) (12)
Improving decisions for invasive species management: reformulation and extensions of the Panetta–Lawes eradication graph (2013) (12)
Can dynamic occupancy models improve predictions of species' range dynamics? A test using Swiss birds (2021) (9)
Modelling species presence-only data with random forests (2020) (7)
Data for Comparing Species Distribution Modeling Methods [R package disdat version 1.0-0] (2020) (4)
A Proportional Observer Bias Model for Multispecies Distribution Modeling (2014) (3)
TITLE : A statistical explanation of MaxEnt for ecologists (2010) (3)
Impacts of drought on fish in Victorian rivers and streams (2006) (2)
Tools for Conserving Managing Individual Plant Species in Dynamic Landscapes (2008) (2)
Curated open-access fungi occurrence data for Australia (2021) (1)
TITLE: A working guide to boosted regression trees (2008) (1)
Enhancing repository fungal data for biogeographic analyses (2021) (1)
Spatial and Environmental Blocking for K-Fold Cross-Validation [R package blockCV version 2.1.1] (2020) (1)
Response to Kriticos et al. (2014) (1)
Title Pushing the limits in marine species distribution modelling : Lessons from the land present challenges and opportunities (2011) (1)
Modelling the distribution of Shorea leprosula in Kalimantan, Indonesia: a tool for conservation planning (2019) (1)
NEWOPPORTUNITIESAT THE INTERFACEBETWEENECOLOGYANDSTATISTICS Point processmodels for presence-only analysis (2015) (0)
A novel method accounting for predictor uncertainty and model transferability of invasive species distribution models (2022) (0)
Taxonomic uncertainty and decision making for biosecurity: spatial models for myrtle/guava rust (2012) (0)
THE SPECIES MODELING LANDSCAPE : ITS DEVELOPMENT AND DIVERSITY Conceptual and Technical Underpinnings (2010) (0)
Systematic conservation planning is an evolving discipline at the interface of biological , mathematical and social sciences (2005) (0)
Interactive effects of climate change and fire on metapopulation viability of a forest-1 dependent frog in south-eastern Australia 2 Running head : Fire and climate change influence population viability 3 (2018) (0)
Title : Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines Running head : Modelling presence-only records with MARS (2006) (0)
Flexible species distribution modelling methods perform well on spatially separated testing data (2023) (0)
TITLE: Evaluating 318 continental-scale species distribution models over a 60-year prediction horizon: what factors influence reliability of predictions? SHORT TITLE: Temporal transferability of species distribution model predictions (2018) (0)

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Other Resources About Jane Elith

en.wikipedia.org

What Schools Are Affiliated With Jane Elith?

Jane Elith is affiliated with the following schools:

University of Melbourne