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Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone conducting moose surveys due to the likelihood of underestimating the population. For most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, research was initiated to estimate sightability correction factors (SCFc) to apply to abundance estimates.
Categories: Data;
Tags: Academics & scientific researchers,
CALIBRATION/VALIDATION,
CALIBRATION/VALIDATION,
DEER/MOOSE,
DEER/MOOSE, All tags...
Federal resource managers,
Interested public,
LCC Network Science Catalog,
MODELS,
MODELS,
POPULATION,
POPULATION,
POPULATION ABUNDANCE,
POPULATION ABUNDANCE,
POPULATION ESTIMATES,
POPULATION ESTIMATES,
Policy makers & regulators,
Regional & county planners,
Report,
SNOW COVER,
SNOW COVER,
SNOW COVER,
SNOW COVER,
STATISTICAL APPLICATIONS,
STATISTICAL APPLICATIONS,
State agencies,
Tribes,
Western Alaska Landscape Conservation Cooperative data.gov,
biota,
biota,
completed,
environment,
environment, Fewer tags
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Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone moose surveys due to the likelihood of underestimating the population/lack of comparability to previous surveys. Poor snow conditions lower the sightability of moose, yet, for most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, we initiated research to estimate sightability correction factors (SCF_c) using radiocollared animals to apply to abundance estimates obtained via the GeoSpatial Population Estimator (GSPE) method. The Project Goal is to develop a model that...
Categories: Data,
Project;
Tags: 2016,
Academics & scientific researchers,
Academics & scientific researchers,
CALIBRATION/VALIDATION,
CALIBRATION/VALIDATION, All tags...
DEER/MOOSE,
DEER/MOOSE,
Data Acquisition and Development,
Data Acquisition and Development,
Datasets/Database,
Decision Support,
Decision Support,
Federal resource managers,
Federal resource managers,
Hunters & anglers,
Informing Conservation Delivery,
Informing Conservation Delivery,
Interested public,
Interested public,
LCC,
LCC Network Science Catalog,
Large mammals,
Methodology/Protocol,
Monitoring,
Monitoring,
Policy makers & regulators,
Policy makers & regulators,
Population & Habitat Evaluation/Projection,
Population & Habitat Evaluation/Projection,
Presentation,
Project,
Publication,
Regional & county planners,
Regional & county planners,
Report,
Report,
SNOW COVER,
SNOW COVER,
STATISTICAL APPLICATIONS,
STATISTICAL APPLICATIONS,
State agencies,
State agencies,
Tribes,
Tribes,
Western Alaska Landscape Conservation Cooperative,
biota,
biota,
onGoing, Fewer tags
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Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone conducting moose surveys due to the likelihood of underestimating the population/lack of comparability to previous surveys. Poor snow conditions are known to lower the sightability of moose, yet, for most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, research was initiated to estimate sightability correction factors (SCFc) to apply to abundance estimates.
Categories: Data;
Tags: Academics & scientific researchers,
CALIBRATION/VALIDATION,
CALIBRATION/VALIDATION,
DEER/MOOSE,
DEER/MOOSE, All tags...
Document,
Federal resource managers,
Interested public,
LCC Network Science Catalog,
MODELS,
MODELS,
POPULATION ABUNDANCE,
POPULATION ABUNDANCE,
POPULATION ESTIMATES,
POPULATION ESTIMATES,
Policy makers & regulators,
Regional & county planners,
SNOW COVER,
SNOW COVER,
STATISTICAL APPLICATIONS,
STATISTICAL APPLICATIONS,
State agencies,
Tribes,
Western Alaska Landscape Conservation Cooperative data.gov,
biota,
biota,
completed,
environment,
environment,
geoscientificInformation,
geoscientificInformation, Fewer tags
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