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江西马头山国家级自然保护区有蹄类资源评价与管理对策：基于红外相机数据对有蹄类分布进行预测
江西马头山国家级自然保护区有蹄类资源评价与管理对策：基于红外相机数据对有蹄类分布进行预测
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江西马头山国家级自然保护区有蹄类资源评价与管理对策：基于红外相机数据对有蹄类分布进行预测

潘国梁 ; Alice Laguardia ; Falk Huettmann ; 时坤

资源与生态学报（英文版）, 2016, Vol.7 (5), p.397-406

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2
Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
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Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence

Mi, Chunrong ; Huettmann, Falk ; Guo, Yumin ; Han, Xuesong ; Wen, Lijia

PeerJ (San Francisco, CA), 2017-01, Vol.5, p.e2849-e2849, Article e2849 [同儕審閱期刊]

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3
Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives
Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives
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Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives

Regmi, Ganga Ram ; Huettmann, Falk Huettmann, Falk ; Regmi, Ganga Ram 2020

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4
Modeling Eastern Russian High Arctic Geese (Anser fabalis, A. albifrons) during moult and brood rearing in the 'New Digital Arctic'
Modeling Eastern Russian High Arctic Geese (Anser fabalis, A. albifrons) during moult and brood rearing in the 'New Digital Arctic'
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Modeling Eastern Russian High Arctic Geese (Anser fabalis, A. albifrons) during moult and brood rearing in the 'New Digital Arctic'

Solovyeva, Diana ; Bysykatova-Harmey, Inga ; Vartanyan, Sergey L ; Kondratyev, Alexander ; Huettmann, Falk

Scientific reports, 2021-11, Vol.11 (1), p.22051-22051, Article 22051 [同儕審閱期刊]

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5
Three-Dimensional Quantification of Copepods Predictive Distributions in the Ross Sea: First Data Based on a Machine Learning Model Approach and Open Access (FAIR) Data
Three-Dimensional Quantification of Copepods Predictive Distributions in the Ross Sea: First Data Based on a Machine Learning Model Approach and Open Access (FAIR) Data
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Three-Dimensional Quantification of Copepods Predictive Distributions in the Ross Sea: First Data Based on a Machine Learning Model Approach and Open Access (FAIR) Data

Grillo, Marco ; Huettmann, Falk ; Guglielmo, Letterio ; Schiaparelli, Stefano

Diversity (Basel), 2022-05, Vol.14 (5), p.355 [同儕審閱期刊]

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6
A super SDM (species distribution model) 'in the cloud' for better habitat-association inference with a 'big data' application of the Great Gray Owl for Alaska
A super SDM (species distribution model) 'in the cloud' for better habitat-association inference with a 'big data' application of the Great Gray Owl for Alaska
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A super SDM (species distribution model) 'in the cloud' for better habitat-association inference with a 'big data' application of the Great Gray Owl for Alaska

Huettmann, Falk ; Andrews, Phillip ; Steiner, Moriz ; Das, Arghya Kusum ; Philip, Jacques ; Mi, Chunrong ; Bryans, Nathaniel ; Barker, Bryan

Scientific reports, 2024-03, Vol.14 (1), p.7213-7213 [同儕審閱期刊]

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7
Data mining and model-predicting a global disease reservoir for low-pathogenic Avian Influenza (A) in the wider pacific rim using big data sets
Data mining and model-predicting a global disease reservoir for low-pathogenic Avian Influenza (A) in the wider pacific rim using big data sets
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Data mining and model-predicting a global disease reservoir for low-pathogenic Avian Influenza (A) in the wider pacific rim using big data sets

Gulyaeva, Marina ; Huettmann, Falk ; Shestopalov, Alexander ; Okamatsu, Masatoshi ; Matsuno, Keita ; Chu, Duc-Huy ; Sakoda, Yoshihiro ; Glushchenko, Alexandra ; Milton, Elaina ; Bortz, Eric

Scientific reports, 2020-10, Vol.10 (1), p.16817-16817, Article 16817 [同儕審閱期刊]

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8
High-resolution prediction of American red squirrel in Interior Alaska: a role model for conservation using open access data, machine learning, GIS and LIDAR
High-resolution prediction of American red squirrel in Interior Alaska: a role model for conservation using open access data, machine learning, GIS and LIDAR
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High-resolution prediction of American red squirrel in Interior Alaska: a role model for conservation using open access data, machine learning, GIS and LIDAR

Robold, Richard B ; Huettmann, Falk

PeerJ (San Francisco, CA), 2021-09, Vol.9, p.e11830-e11830, Article e11830 [同儕審閱期刊]

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9
Rabies Elimination: Is It Feasible without Considering Wildlife?
Rabies Elimination: Is It Feasible without Considering Wildlife?
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Rabies Elimination: Is It Feasible without Considering Wildlife?

Acharya, Krishna Prasad ; Chand, Rakesh ; Huettmann, Falk ; Ghimire, Tirth Raj Wang, Wei

Journal of tropical medicine, 2022-06, Vol.2022, p.1-6 [同儕審閱期刊]

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10
Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures
Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures
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Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures

Han, Xuesong ; Guo, Yumin ; Mi, Chunrong ; Huettmann, Falk ; Wen, Lijia

Scientific reports, 2017-07, Vol.7 (1), p.6114-9, Article 6114 [同儕審閱期刊]

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