About: Falk Huettmann

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher

Attributes	Values
rdf:type	Item
description	Forscher (de) researcher (en) ricercatore (it) 研究者 (ja) investigador (es) chercheur (fr) wetenschapper (nl) дослідник (uk) 研究者 (zh) americký biolog, univerzitní pedagog ekologie volně žijících živočichů, se zaměřením na biogeografické modelování a GIS (cs)
rdfs:label	Falk Huettmann (cs) Falk Huettmann (en) Falk Huettmann (es) Falk Huettmann (nl) Falk Huettmann (sk) Falk Huettmann (ast)
skos:prefLabel	Falk Huettmann (cs) Falk Huettmann (en) Falk Huettmann (es) Falk Huettmann (nl) Falk Huettmann (sk) Falk Huettmann (ast)
name	Falk Huettmann (cs) Falk Huettmann (en) Falk Huettmann (es) Falk Huettmann (nl) Falk Huettmann (sk) Falk Huettmann (ast)
instance of	wds:Q65588456-9F00B441-154F-4C63-AC94-0F0A18059FDC
NL CR AUT ID	wds:Q65588456-A72CDDC8-C2FB-413A-83F7-4FF5BADFEF2A
instance of	Homo sapiens
NL CR AUT ID	jcu2013742510
skos:altLabel	F Huettmann (en) F. Huettmann (en) Huettmann (en) Huettmann F. (en)
Nationale Thesaurus voor Auteursnamen ID	wds:Q65588456-d6d4a37a-6815-4622-9d14-1d7184c93166
occupation	wds:Q65588456-4F42115A-FD74-4CF4-877F-BF9790E7B933 wds:Q65588456-EF1A1C28-6DD9-4B39-975D-FF147D1313B7
NUKAT ID	wds:Q65588456-85230F8C-4F60-4491-92A4-0AB03DC3B5B1
sex or gender	wds:Q65588456-baf682cc-46b5-2d4e-b569-73ed178b68e6
VIAF ID	wds:Q65588456-1068234C-EF55-4B30-9220-D041602DAD60 wds:Q65588456-C69B8362-7FB0-41F6-B56E-B35B42AC2CA6
IdRef ID	wds:Q65588456-8405AEAC-5655-4B58-8312-6CCD392FDE4D
date of birth	wds:Q65588456-F54FE64B-510E-4721-8CF1-93184EAC1CCB
WorldCat Identities ID (superseded)	wds:Q65588456-085FB7A4-A75E-4EC8-BF90-1226A1B85424
National Library of Israel J9U ID	wds:Q65588456-938B6FA7-B9EF-4754-831E-555D61EED08C
Nationale Thesaurus voor Auteursnamen ID	http://data.bibliotheken.nl/id/thes/p333176723
VIAF ID	http://viaf.org/viaf/121588185 http://viaf.org/viaf/5583165628850242480006
IdRef ID	http://www.idref.fr/163218137/id
Nationale Thesaurus voor Auteursnamen ID	333176723
occupation	university teacher biologist
NUKAT ID	n2013135797
sex or gender	male
VIAF ID	121588185 5583165628850242480006
IdRef ID	163218137
date of birth	1967-01-01 00:00:00Z (xsd:dateTime)
WorldCat Identities ID (superseded)	lccn-no2010103269
National Library of Israel J9U ID	987007317691605171
ORCID iD	wds:Q65588456-0C641316-1337-45B9-8812-66AEBFE62045
ORCID iD	https://orcid.org/0000-0003-4315-5451
ORCID iD	0000-0003-4315-5451
is owl:sameAs of	Falk Huettmann
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q65588456
is author of	Global patterns and predictions of seafloor biomass using random forests Machine Learning Model Analysis of Breeding Habitats for the Black-necked Crane in Central Asian Uplands under Anthropogenic Pressures Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence 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 Strategies for the sustainability of online open-access biodiversity databases Sensitivity of predictive species distribution models to change in grain size A global model of avian influenza prediction in wild birds: the importance of northern regions Movements of birds and avian influenza from Asia into Alaska Characterization of a genetic and antigenic variant of avian paramyxovirus 6 isolated from a migratory wild bird, the red-necked stint (Calidris ruficollis). H4N8 subtype avian influenza virus isolated from shorebirds contains a unique PB1 gene and causes severe respiratory disease in mice Combining occurrence and abundance distribution models for the conservation of the Great Bustard Comment on “Methods to account for spatial autocorrelation in the analysis of species distributional data: a review” Can natural disturbance-based forestry rescue a declining population of grizzly bears? Biogeographic and anthropogenic correlates of Aleutian Islands plant diversity: A machine-learning approach Spillover systems in a telecoupled Anthropocene: typology, methods, and governance for global sustainability Conclusion: An Attempt to Describe the State of Habitat and Species Modeling Today BioTIME: A database of biodiversity time series for the Anthropocene Seasonal effects of Pacific-based climate on recruitment in a predator-limited large herbivore. A climate-change adaptation framework to reduce continental-scale vulnerability across conservation reserves Advanced long-term bird banding and climate data mining in spring confirm passerine population declines for the Northeast Chinese-Russian flyway Distribution of benthic marine invertebrates at northern latitudes ― An evaluation applying multi-algorithm species distribution models Antarctic ecosystem responses following ice‐shelf collapse and iceberg calving: Science review and future research On open access, data mining and plant conservation in the Circumpolar North with an online data example of the Herbarium, University of Alaska Museum of the North Long-term population survey of the Sulawesi black macaques (Macaca nigra) at Tangkoko Nature Reserve, North Sulawesi, Indonesia Interacting effect of wolves and climate on recruitment in a northern mountain caribou population Predicting the distribution and ecological niche of unexploited snow crab (Chionoecetes opilio) populations in Alaskan waters: a first open-access ensemble model Location-only and use-availability data: analysis methods converge. Modeling the distribution of white spruce (Picea glauca) for Alaska with high accuracy: an open access role-model for predicting tree species in last remaining wilderness areas Development, validation, and evaluation of an assay for the detection of wood frogs (Rana sylvatica) in environmental DNA Conservation Research in the Cloud Forest of Central America with Lessons from Maderas Volcano, Ometepe, Nicaragua: A First-Person Narrative About Very Tough Fieldwork, Unfinished Data, and Climate Justice While Running Out of Time The use of classification and regression algorithms using the random forests method with presence-only data to model species' distribution

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