Final Report: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC

We used the United States National Grid to develop a sampling grid for monitoring programs in the Great Plains Landscape Conservation Cooperative, delineated by Bird Conservation Regions 18 and 19. Landscape Conservation Cooperatives are science based partnerships with the goal to inform and guide conservation at regional landscape levels. Developing a standardized sampling grid for a LCC is a new endeavor and is designed to reduce program costs, avoid repetition in sampling, and increase efficiency in monitoring programs. This is possible because the grid’s nationwide coverage, uniform starting point, and scalability allow researchers to expand their monitoring programs from a small, local level to a regional or...

Categories: Data, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: BIRDS, Colorado, Colorado, Federal resource managers, Final Report, All tags... Final Report, GEOGRAPHIC INFORMATION SYSTEMS, GPLCC, GPLCC, Great Plains, Great Plains, Great Plains Landscape Conservation Cooperative, Habitat Modeling, Habitat Modeling, Kansas, Kansas, LCC Network Science Catalog, Nebraska, Nebraska, New Mexico, New Mexico, Oklahoma, Oklahoma, Regional & county planners, Report, STATISTICAL APPLICATIONS, ScienceBase Great Plains LCC, South Dakota, South Dakota, State agencies, Texas, Texas, Wildlife Monitoring, Wildlife Monitoring, Wyoming, Wyoming, biota, completed, environment, Fewer tags

Project Summary: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC

Summary of project, results, and recommendations for the project completed by David J. Hanni, Rob A. Sparks, and Frank Cardone of Rocky Mountain Bird Observatory. Summary written by the Great Plains Landscape Conservation Cooperative (GP LCC).

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: BIRDS, Colorado, Colorado, Federal resource managers, GEOGRAPHIC INFORMATION SYSTEMS, All tags... GPLCC, GPLCC, Great Plains, Great Plains, Great Plains Landscape Conservation Cooperative, Habitat Modeling, Habitat Modeling, Kansas, Kansas, Nebraska, Nebraska, New Mexico, New Mexico, Oklahoma, Oklahoma, Private land owners, Regional & county planners, Report, STATISTICAL APPLICATIONS, South Dakota, South Dakota, Texas, Texas, Wildlife Monitoring, Wildlife Monitoring, Wyoming, Wyoming, biota, completed, environment, Fewer tags

Sightability Correction for Moose Population Surveys

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

Estimating moose abundance at varying snow cover levels

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

Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC

We used the United States National Grid to develop a sampling grid for monitoring programs in the Great Plains Landscape Conservation Cooperative, delineated by Bird Conservation Regions 18 and 19. Landscape Conservation Cooperatives are science based partnerships with the goal to inform and guide conservation at regional landscape levels. Developing a standardized sampling grid for a LCC is a new endeavor and is designed to reduce program costs, avoid repetition in sampling, and increase efficiency in monitoring programs. This is possible because the grid’s nationwide coverage, uniform starting point, and scalability allow researchers to expand their monitoring programs from a small, local level to a regional or...

Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2010, Academics & scientific researchers, BIRDS, CO-01, CO-02, All tags... CO-03, CO-04, CO-05, CO-06, CO-07, Colorado, FY 2010, FY 2010, Final Report, Final Report, GEOGRAPHIC INFORMATION SYSTEMS, GPLCC, GPLCC, Great Plains, Great Plains Landscape Conservation Cooperative, Habitat Modeling, Habitat Modeling, KS-01, KS-02, KS-04, Kansas, LCC, LCC Network Science Catalog, Methodology/Protocol, Monitoring, NE-01, NE-03, NM-02, NM-03, Nebraska, New Mexico, OK-03, OK-04, OK-05, Oklahoma, Project, Report, SD-00, STATISTICAL APPLICATIONS, South Dakota, TX-11, TX-13, TX-19, TX-23, Texas, WY-00, Wildlife Monitoring, Wildlife Monitoring, Wyoming, biota, completed, environment, Fewer tags

Estimation of Moose Abundance using the Geospatial Population Estimator combined with a Sightability Model on Togiak National Wildlife Refuge: Site-sp

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