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With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots

Scientific reports, 2024-03, Vol.14 (1), p.5204-5204, Article 5204

2024

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Predicted Shifts in Small Mammal Distributions and Biodiversity in the Altered Future Environment of Alaska: An Open Access Data and Machine Learning Perspective

PloS one, 2015-07, Vol.10 (7), p.e0132054

2015

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Correction: Predicted Shifts in Small Mammal Distributions and Biodiversity in the Altered Future Environment of Alaska: An Open Access Data and Machine Learning Perspective

PloS one, 2018-03, Vol.13 (3), p.e0194377-e0194377

2018

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Seascape ecology: identifying research priorities for an emerging ocean sustainability science

Marine ecology. Progress series (Halstenbek), 2021, Vol.663, p.1-29

2021

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Predictions from machine learning ensembles: marine bird distribution and density on Canada’s Pacific coast

Marine ecology. Progress series (Halstenbek), 2017-02, Vol.566, p.199-216

2017

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Justification for a taxonomic conservation update of the rodent genus Tamiasciurus: addressing marginalization and mis-prioritization of research efforts and conservation laissez-faire for a sustainability outlook

European zoological journal, 2021-01, Vol.88 (1), p.86-116

2021

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Quantifying trophic niche spaces of small mammals using stable isotopes (δ 15 N and δ 13 C) at two scales across Alaska

Canadian journal of zoology, 2015-07, Vol.93 (7), p.579-588

2015

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Thirty years of analysing and modelling avian habitat relationships using satellite imagery data : a review

International journal of remote sensing, 2005-06, Vol.26 (12), p.2631-2656

2005

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Predicting the Distribution and Ecological Niche of Unexploited Snow Crab (Chionoecetes opilio) Populations in Alaskan Waters: A First Open-Access Ensemble Model

Integrative and comparative biology, 2011-10, Vol.51 (4), p.608-622

2011

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Serving the Global Village through Public Data Sharing as a Mandatory Paradigm for Seabird Biologists and Managers: Why, What, How, and a Call for an Efficient Action Plan

The open ornithology journal, 2011-04, Vol.4 (1), p.1-11

Huettmann, F

2011

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Seasonal observations and machine-learning-based spatial model predictions for the common raven (Corvus corax) in the urban, sub-arctic environment of Fairbanks, Alaska

Polar biology, 2013-11, Vol.36 (11), p.1587-1599

2013

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Endothermy, ectothermy and the global structure of marine vertebrate communities

Marine ecology. Progress series (Halstenbek), 2008-03, Vol.356, p.239-250

2008

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Large-scale effects on the spatial distribution of seabirds in the Northwest Atlantic

Landscape ecology, 2006-10, Vol.21 (7), p.1089-1108

2006

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Efficient spatial models for predicting the occurrence of subarctic estuarine‐associated fishes: implications for management

Fisheries management and ecology, 2015-12, Vol.22 (6), p.501-517

2015

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Seabirds at Risk around Offshore Oil Platforms in the North-west Atlantic

Marine pollution bulletin, 2001-12, Vol.42 (12), p.1285-1290

2001

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Modern application and prospects of the stable isotopes method for studying avian influenza A virus transmission in migratory birds

Ûg Rossii: èkologiâ, razvitie, 2019-01, Vol.14 (3), p.92-100

2019

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Species distribution modeling of storm-petrels (Oceanodroma furcata and O. leucorhoa) in the North Pacific and the role of dimethyl sulfide

Polar biology, 2012-11, Vol.35 (11), p.1669-1680

2012

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Fecal glucocorticoid metabolite relates to social rank in Sichuan snub-nosed monkeys

European zoological journal, 2016-01, Vol.83 (1), p.15-25

2016

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Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives

1st ed. 2020., 2020

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A large-scale model for the at-sea distribution and abundance of Marbled Murrelets ( Brachyramphus marmoratus) during the breeding season in coastal British Columbia, Canada

Ecological modelling, 2004-02, Vol.171 (4), p.395-413

2004

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Seabird colony locations and environmental determination of seabird distribution: a spatially explicit breeding seabird model for the Northwest Atlantic

Ecological modelling, 2001-07, Vol.141 (1), p.261-298

2001

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Novel methods improve prediction of species' distributions from occurrence data

Ecography (Copenhagen), 2006-04, Vol.29 (2), p.129-151

2006

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The evaluation strip: A new and robust method for plotting predicted responses from species distribution models

Ecological modelling, 2005-08, Vol.186 (3), p.280-289

2005

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Multivariate random forest models of estuarine-associated fish and invertebrate communities

Marine ecology. Progress series (Halstenbek), 2014-03, Vol.500, p.159-174

2014

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Databases and science-based management in the context of wildlife and habitat: Toward a certified ISO standard for objective decision-making for the global community by using the internet

The Journal of wildlife management, 2005-04, Vol.69 (2), p.466-472

Huettmann, F

2005

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With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots

Predicted Shifts in Small Mammal Distributions and Biodiversity in the Altered Future Environment of Alaska: An Open Access Data and Machine Learning Perspective

Correction: Predicted Shifts in Small Mammal Distributions and Biodiversity in the Altered Future Environment of Alaska: An Open Access Data and Machine Learning Perspective

Seascape ecology: identifying research priorities for an emerging ocean sustainability science

Predictions from machine learning ensembles: marine bird distribution and density on Canada’s Pacific coast

Justification for a taxonomic conservation update of the rodent genus Tamiasciurus: addressing marginalization and mis-prioritization of research efforts and conservation laissez-faire for a sustainability outlook

Quantifying trophic niche spaces of small mammals using stable isotopes (δ 15 N and δ 13 C) at two scales across Alaska

Thirty years of analysing and modelling avian habitat relationships using satellite imagery data : a review

Predicting the Distribution and Ecological Niche of Unexploited Snow Crab (Chionoecetes opilio) Populations in Alaskan Waters: A First Open-Access Ensemble Model

Serving the Global Village through Public Data Sharing as a Mandatory Paradigm for Seabird Biologists and Managers: Why, What, How, and a Call for an Efficient Action Plan

Seasonal observations and machine-learning-based spatial model predictions for the common raven (Corvus corax) in the urban, sub-arctic environment of Fairbanks, Alaska

Endothermy, ectothermy and the global structure of marine vertebrate communities

Large-scale effects on the spatial distribution of seabirds in the Northwest Atlantic

Efficient spatial models for predicting the occurrence of subarctic estuarine‐associated fishes: implications for management

Seabirds at Risk around Offshore Oil Platforms in the North-west Atlantic

Modern application and prospects of the stable isotopes method for studying avian influenza A virus transmission in migratory birds

Species distribution modeling of storm-petrels (Oceanodroma furcata and O. leucorhoa) in the North Pacific and the role of dimethyl sulfide

Fecal glucocorticoid metabolite relates to social rank in Sichuan snub-nosed monkeys

Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives

A large-scale model for the at-sea distribution and abundance of Marbled Murrelets ( Brachyramphus marmoratus) during the breeding season in coastal British Columbia, Canada

Seabird colony locations and environmental determination of seabird distribution: a spatially explicit breeding seabird model for the Northwest Atlantic

Novel methods improve prediction of species' distributions from occurrence data

The evaluation strip: A new and robust method for plotting predicted responses from species distribution models

Multivariate random forest models of estuarine-associated fish and invertebrate communities

Databases and science-based management in the context of wildlife and habitat: Toward a certified ISO standard for objective decision-making for the global community by using the internet

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