Filters: Tags: POPULATION ABUNDANCE (X)9 results (126ms)
Access database with terrestrial invertebrate abundance and biomass data in addition to weather data. Arctic Shorebird Demographic Network Camp locations: Nome, Cape Krusenstern, Barrow, Ikpikpuk, Colville, Prudhoe Bay, Canning River, Mackenzie Delta, and East Bay. Latitude and Longitude for each camp are provided in a table in the database.
San Francisco Gartersnake (Thamnophis sirtalis tetrataenia) Genomic and Demographic Data from San Mateo County and Northeastern Santa Cruz County Collected Between 2016 - 2018
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...
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.
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.
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...
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.
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...
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.
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.