Skip to main content
Advanced Search

Filters: Tags: POPULATION ABUNDANCE (X)

19 results (130ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This is the GeoPackage (“TMG_AdditionalArea_Trans.gpkg”) that contains the layer (“main.TMG_Area_Trans”) depicting the spatial extent of the four Additional Survey Area transects that are surveyed during the annual MBM-AK TLSA molting goose aerial surveys. This GeoPackage (NAD83; ESPG: 3338) was created by Michael Swain in August 2021 and subsequently emailed to Maggie Harings. It includes waterbody units, waterbody types, and waterbody perimeter as well as their areas.Transects do not exist for Cape Simpson as this area is adequately assessed by conducting aerial surveys for lakes only. Piasuk River Delta area is surveyed using a combination of aerial lake surveys and transects. Colville River Delta and Atigaru...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
thumbnail
Conversion and fragmentation of wildlife habitat often leads to smaller and isolated populations and can reduce a species’ ability to disperse across the landscape. As a consequence, genetic drift can quickly lower genetic variation and increase vulnerability to extirpation. For species of conservation concern, quantification of population size and connectivity can clarify the influence of genetic drift in local populations and provides important information for conservation management and recovery strategies. Here, we used genome-wide single nucleotide polymorphism (SNP) data and capture-mark-recapture methods to evaluate the population structure, genetic diversity and abundance of seven focal sites of the endangered...
thumbnail
This is an incomplete collection of track files produced during the MBM-AK TLSA molting goose survey flights. They reference latitude, longitude, and time in total seconds in the day. These files are called by R code (‘TMGSurvey_Master_2019.Rmd’ located in ‘GitHub_Annual_Report_Code’). Following review of this code, it appears as though these transcripts were not ultimately used in any way. Please consult ‘TMGSurvey_Master_2019.Rmd’ for additional context. Track file naming format is as follows: ‘TR[date][firstInitialLastNameOfObserver].csv’; HWilson refers to Heather Wilson while BShults refers to Brad Shults.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
thumbnail
Capture-mark-recapture data from San Francisco Gartersnakes at five sites in San Mateo County, California in 2018. These data include capture histories, snout-vent lengths, and sex for individual snakes. R files included with the data fit closed capture-mark-recapture models to estimate the abundance of adult snakes at each site in 2018.
thumbnail
This is the collection of raw data was collected during MBM-AK TLSA annual molting goose surveys. Partial quality control has been completed for these data: following each survey, the observer listened to their survey recording that documented counts along transects and then transcribed these findings into these raw datasets (‘raw_data’). The observer listened to their recording a second time in order to confirm that their transcriptions were correct. Further quality control and tidying was completed for these raw data using R scripts noted by the file extension ‘.Rmd’ located in the ‘GitHub_Annual_Report_Code’ folder. Ultimately, these scripts produced final datasets (‘final_data’) containing data used in annual...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
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.
thumbnail
Originally created by Brad Shults, the GitHub repository was created for markdown code used to quality control survey data and create annual survey reports beginning in 2016. The repository can be found on GitHub (‘https://github.com/bsshults/Teshekpuk-Lake-Molt’). A copy of the master branch that was last committed by user “bsshults” (Brad Shults) on 2/24/20 was downloaded by Maggie Harings on 6/29/21 and stored on the Alaska Regional Data Repository (‘GitHub_Annual_Report_Code’). General file naming structure for repository files is: ‘TMGSurvey_Master_[surveyYear]’ Files ending in the file extension ‘.Rmd’ are used to conduct some quality control and data tidying for original survey data. These files contain comments...
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
The purpose of the North American Bat Monitoring Program (NABat) is to create a continent-wide program to monitor bats at local to rangewide scales that will provide reliable data to promote effective conservation decisionmaking and the long-term viability of bat populations across the continent. This is an international, multiagency program. Four approaches will be used to gather monitoring data to assess changes in bat distributions and abundances: winter hibernaculum counts, maternity colony counts, mobile acoustic surveys along road transects, and acoustic surveys at stationary points. These monitoring approaches are described along with methods for identifying species recorded by acoustic detectors. Other chapters...
Categories: Data, Publication; Types: Citation; Tags: BIOLOGICAL RECORDS, BIOLOGICAL RECORDS, BIOLOGICAL RECORDS, BIOLOGICAL RECORDS, BIOSPHERE, All tags...
The North American Bat Monitoring Program (NABat) is a large-scale, long-term monitoring program designed to assess the status and trends of North American bats at local, regional, and range-wide scales. Spanning the United States, Canada, and Mexico, NABat brings together an extensive network of partners who utilize the NABat program design and monitoring protocols to collect bat population data. These data are analyzed at various spatial and temporal scales and results are used to promote effective conservation actions to ensure the long-term viability of bat populations across the continent.
Categories: Data, Web Site; Tags: BIOLOGICAL RECORDS, BIOLOGICAL RECORDS, BIOLOGICAL RECORDS, BIOLOGICAL RECORDS, BIOSPHERE, All tags...
thumbnail
These data were estimated for use in the bioecomomic model simulation of the rainbow trout population in the Colorado River in Marble Canyon. The initial rainbow trout abundance is a vector (RBT_intN) representing the population of rainbow trout within each river segment (151 mile long sergments) along the mainstem of the Colorado River from Lees Ferry to 151 river miles downstream. The movement matrix (MMat) is a distribution that estimates the probability that a rainbow trout wil move to any one of the 151 river segments downstream of Lees Ferry.
The North American Bat Monitoring Program (NABat) is a multi-agency, multi-national effort and is designed to address the need for a program that addresses standardized monitoring of bat species across multiple taxa in North America. The development of NABat has incorporated the expertise of bat biologists, wildlife managers, policy makers, statisticians, and data managers throughout the process. The first step in the development of NABat was to build consensus within the community of North American bat researchers and biologists on feasible monitoring techniques and protocols to assess species responses to white-nose syndrome (WNS). In summer 2012, funding was obtained from the National Landscape Conservation Cooperative...
Categories: Data; Tags: BIOLOGICAL RECORDS, BIOLOGICAL RECORDS, BIOLOGICAL RECORDS, BIOLOGICAL RECORDS, BIOSPHERE, All tags...
thumbnail
In 1957, Henry (Hank) Hansen and Jim King identified important habitat for molting geese in an area now referred to as the Teshekpuk Lake Special Area (TLSA) in northern Alaska. Located within the larger National Petroleum Reserve-Alaska (NPR-AK), the importance of this habitat was reaffirmed by the Secretary of Interior in 1977 with the designation of the TLSA. In 1976, the Waterfowl Department of U.S. Fish and Wildlife Service (USFWS) Migratory Bird Management-Alaska (MBM-AK) began conducting aerial goose surveys within an area of the TLSA that they designated as the Traditional Survey Area. These surveys continued through 1978, after which there was a three-year hiatus. Surveys began again in 1982 and continued...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
thumbnail
This collection of reports are summaries of annual aerial surveys of molting geeze conducted near Teshekpuk Lake beginning in 2003. Annual reports completed for surveys conducted prior to 2003 are not in digital format. To access to these, please contact Migratory Bird Management-Alaska Region Waterfowl Department (USFWS) directly. Because not all reports were completed within the same year as the corresponding aerial surveys, file naming format for each report was standardized to: [YYYY] _ [author] _ [(coauthor)] _ briefDescription. All markdown code used to produce reports starting in 2016 can be found here and is also located on the Alaska Regional Data Repository (GitHub_Annual_Report_Code folder).
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
thumbnail
This dataset was created by Heather Wilson and sent to Julian Fischer on 6/29/21 and forwarded by him to Maggie Harings on 7/1/21. Heather created this document in order to track general survey details including pilot names, observer names, aircraft types used during each survey, and survey notes for the MBM-AK TLSA molting goose surveys. This document has not been tidied and it is unclear whether is has been put through a quality control process. In addition, Heather made several attempts to track down missing information in this document for survey years 1982-1999 but was unsuccessful. Therefore, this document is incomplete and should be treated as such. For additional information regarding this document, please...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
thumbnail
This is a collection of datasets that are comprised final MBM-AK TLSA molting goose aerial survey data. Using R code produced by Brad Shults (files ending in .Rmd found in ‘GitHub_Annual_Report_Code’), these data were produced from the raw survey data (‘raw_data’); some quality control was completed using this GitHub R code, though some columns of these datasets still contain errors and these data are not tidy. However, these data are used to produce figures and tables in annual reports so no further tidying or quality control was conducted for these data. Additional details can be found in entity and domain data dictionary definitions.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
thumbnail
This is the GeoPackage (“TMG_AdditionalAreas.gpkg”) that contains the layer (“main.TMG_NewAreas”) depicting the spatial extent of the four Additional Survey Areas that are assessed during the annual MBM-AK TLSA molting goose aerial surveys. This GeoPackage (NAD83; ESPG: 3338) was created by Michael Swain in August 2021 and subsequently emailed to Maggie Harings. It includes waterbody units, waterbody types, and waterbody perimeter as well as their areas.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ALPINE/TUNDRA, ALPINE/TUNDRA, ALPINE/TUNDRA, ALPINE/TUNDRA, All tags...
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.


    map background search result map search result map ASDN Terrestrial Invertebrates and Weather Access Database Bioeconomic model population data, Grand Canyon, Arizona San Francisco Gartersnake (Thamnophis sirtalis tetrataenia) Genomic and Demographic Data from San Mateo County and Northeastern Santa Cruz County Collected Between 2016 - 2018 Capture-mark-recapture Data for San Francisco Gartersnakes in San Mateo County, California, 2018 Teshekpuk Lake Molting Goose Survey Teshekpuk Lake Alaska Molting Goose Additional Survey Areas GeoPackage Teshekpuk Lake Alaska Molting Goose Final Aerial Survey Data Teshekpuk Lake Alaska Molting Goose Survey Track Files Teshekpuk Lake Alaska Molting Goose Aerial Survey Annual Reports Teshekpuk Lake Alaska Molting Goose Traditional Survey Area GeoPackage Teshekpuk Lake Alaska Molting Goose Observers and Aircraft data Teshekpuk Lake Alaska Molting Goose GitHub Markdown Code for Annual Survey Reports Teshekpuk Lake Alaska Molting Goose Additional Survey Area Transects GeoPackage Teshekpuk Lake Alaska Molting Goose Raw Aerial Survey Data Capture-mark-recapture Data for San Francisco Gartersnakes in San Mateo County, California, 2018 Bioeconomic model population data, Grand Canyon, Arizona Teshekpuk Lake Molting Goose Survey Teshekpuk Lake Alaska Molting Goose Additional Survey Areas GeoPackage Teshekpuk Lake Alaska Molting Goose Final Aerial Survey Data Teshekpuk Lake Alaska Molting Goose Survey Track Files Teshekpuk Lake Alaska Molting Goose Aerial Survey Annual Reports Teshekpuk Lake Alaska Molting Goose Traditional Survey Area GeoPackage Teshekpuk Lake Alaska Molting Goose Observers and Aircraft data Teshekpuk Lake Alaska Molting Goose GitHub Markdown Code for Annual Survey Reports Teshekpuk Lake Alaska Molting Goose Additional Survey Area Transects GeoPackage Teshekpuk Lake Alaska Molting Goose Raw Aerial Survey Data San Francisco Gartersnake (Thamnophis sirtalis tetrataenia) Genomic and Demographic Data from San Mateo County and Northeastern Santa Cruz County Collected Between 2016 - 2018 ASDN Terrestrial Invertebrates and Weather Access Database