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A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales

PloS one, 2020-03, Vol.15 (3), p.e0229253-e0229253

2020

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Using high-resolution future climate scenarios to forecast Bromus tectorum invasion in Rocky Mountain National Park

PloS one, 2015-02, Vol.10 (2), p.e0117893

2015

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No universal scale-dependent impacts of invasive species on native plant species richness

Biology letters (2005), 2014-01, Vol.10 (1), p.20130939

2014

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Spatial heterogeneity influences native and nonnative plant species richness

Ecology (Durham), 2006-12, Vol.87 (12), p.3186-3199

2006

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Citizen science contributes to our knowledge of invasive plant species distributions

Biological invasions, 2015-08, Vol.17 (8), p.2415-2427

2015

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Global potential net primary production predicted from vegetation class, precipitation, and temperature

Ecology (Durham), 2008-08, Vol.89 (8), p.2117-2126

2008

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Potential habitat distribution for the freshwater diatom Didymosphenia geminata in the continental US

Frontiers in ecology and the environment, 2009-10, Vol.7 (8), p.415-420

2009

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Assessing forest vulnerability and the potential distribution of pine beetles under current and future climate scenarios in the Interior West of the US

Forest ecology and management, 2011-08, Vol.262 (3), p.307-316

2011

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Ensemble Habitat Mapping of Invasive Plant Species

Risk analysis, 2010-02, Vol.30 (2), p.224-235

2010

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Environmental conditions associated with bat white-nose syndrome mortality in the north-eastern United States

The Journal of applied ecology, 2012-06, Vol.49 (3), p.680-689

2012

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Caveats for correlative species distribution modeling

Ecological informatics, 2015-09, Vol.29, p.6-15

2015

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Risk Analysis for Biological Hazards: What We Need to Know about Invasive Species

Risk analysis, 2006-02, Vol.26 (1), p.163-173

2006

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Improving and integrating data on invasive species collected by citizen scientists

Biological invasions, 2010-10, Vol.12 (10), p.3419-3428

2010

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Scale-dependent impacts of invasive species: a reply to Chase et al. (2015)

Biology letters (2005), 2015-08, Vol.11 (8), p.20150402-20150402

2015

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Biotic disturbance facilitates range shift at the trailing but not the leading edge of lodgepole pine's altitudinal distribution

Journal of vegetation science, 2016-07, Vol.27 (4), p.780-788

2016

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myth of plant species saturation

Ecology letters, 2008-04, Vol.11 (4), p.313-322

2008

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Non-native plant invasions of United States National Parks

Biological invasions, 2009-12, Vol.11 (10), p.2195-2207

2009

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Evidence of niche shift and global invasion potential of the Tawny Crazy ant, Nylanderia fulva

Ecology and evolution, 2015-10, Vol.5 (20), p.4628-4641

2015

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Mapping Invasive Tamarisk (Tamarix): A Comparison of Single-Scene and Time-Series Analyses of Remotely Sensed Data

Remote sensing (Basel, Switzerland), 2009-09, Vol.1 (3), p.519-533

2009

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Modelling invasion for a habitat generalist and a specialist plant species

Diversity & distributions, 2008-09, Vol.14 (5), p.808-817

2008

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Finding the needle in the haystack: iterative sampling and modeling for rare taxa

Journal of insect conservation, 2019-06, Vol.23 (3), p.589-595

2019

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Network spread of invasive species and infectious diseases

Ecological modelling, 2015-08, Vol.309-310, p.1-9

2015

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Near term climate projections for invasive species distributions

Biological invasions, 2009-06, Vol.11 (6), p.1373-1379

2009

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Effects of spatial heterogeneity on butterfly species richness in Rocky Mountain National Park, CO, USA

Biodiversity and conservation, 2009-03, Vol.18 (3), p.739-763

2009

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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Journal of visualized experiments, 2016-10 (116)

2016

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A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales

Using high-resolution future climate scenarios to forecast Bromus tectorum invasion in Rocky Mountain National Park

No universal scale-dependent impacts of invasive species on native plant species richness

Spatial heterogeneity influences native and nonnative plant species richness

Citizen science contributes to our knowledge of invasive plant species distributions

Global potential net primary production predicted from vegetation class, precipitation, and temperature

Potential habitat distribution for the freshwater diatom Didymosphenia geminata in the continental US

Assessing forest vulnerability and the potential distribution of pine beetles under current and future climate scenarios in the Interior West of the US

Ensemble Habitat Mapping of Invasive Plant Species

Environmental conditions associated with bat white-nose syndrome mortality in the north-eastern United States

Caveats for correlative species distribution modeling

Risk Analysis for Biological Hazards: What We Need to Know about Invasive Species

Improving and integrating data on invasive species collected by citizen scientists

Scale-dependent impacts of invasive species: a reply to Chase et al. (2015)

Biotic disturbance facilitates range shift at the trailing but not the leading edge of lodgepole pine's altitudinal distribution

myth of plant species saturation

Non-native plant invasions of United States National Parks

Evidence of niche shift and global invasion potential of the Tawny Crazy ant, Nylanderia fulva

Mapping Invasive Tamarisk (Tamarix): A Comparison of Single-Scene and Time-Series Analyses of Remotely Sensed Data

Modelling invasion for a habitat generalist and a specialist plant species

Finding the needle in the haystack: iterative sampling and modeling for rare taxa

Network spread of invasive species and infectious diseases

Near term climate projections for invasive species distributions

Effects of spatial heterogeneity on butterfly species richness in Rocky Mountain National Park, CO, USA

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

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