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Water availability, distribution, quality and quantity are critical habitat elements for fish and other water-dependent species. Furthermore, the availability of water is also a pre-requisite for a number of human activities. The density of weather and hydrology observation sites on the North Slope is orders of magnitude less than in other parts of the U.S., making it difficult to document hydrologic trends and develop accurate predictive models where water is a key input. The information that does exist is scattered among many entities, and varies in format. This multi-year data rescue effort project brings together these scarce and scattered hydrology data sets, including high-priority datasets held by the Bureau...
A website with links to the Landscape Conservation Cooperative (LCC) Integrated Data Management Network (IDMN) final report as well as individual LCC websites. The IDMN worked with over 20 organizations over two years to bring coherence to the LCC information management landscape. Specifically, the IDMN Network tried to address ways LCC partners implemented the basic building blocks of data management. Issues addressed included building and sharing science products with partners, securely storing those data for the long term, and evaluating ways to get those outputs to cooperators and eventually the public. Over the course of the IDMN project, the scope was expanded to address ways to track projects that produced...
Categories: Data, Web Site; Tags: Completed, DATA MANAGEMENT/DATA HANDLING, DATA MANAGEMENT/DATA HANDLING, DATA MANAGEMENT/DATA HANDLING, DATA MANAGEMENT/DATA HANDLING, All tags...
This work provides a flexible and scalable framework to assess the impacts of climate change on streamflow and stream temperature within the North Atlantic Landscape Conservation Cooperative (NALCC) region. This is accomplished through use of lumped parameter, physically-based, conceptual hydrologic and stream temperature models formulated in a hierarchical Bayesian framework. This allows for model predictions of streamflow and temperature at ungaged locations and a formal accounting of model estimate uncertainty at each location, something not previously achieved in these models. These environmental models will also link seamlessly with the land use and fish models. The final products of this project will provide:...
Categories: Data; Tags: BIOSPHERE, BIOSPHERE, BIOSPHERE, Completed, DATA ANALYSIS AND VISUALIZATION, All tags...
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This R code (Nest_Cards_QC.R) is used to process the raw legacy nest card data (1985 - 2019) and produce the quality controlled legacy nest card data for analysis and sharing. This code does not quality control the double searched plots (R2 plots in 1995-99), which is done in the file ‘PrepData.R’. Basic operations include transforming missing value to a common code, transforming other variable to match the data dictionary for nest cards, and resolving non-unique observer initials. The code requires the raw data (“1985-2019_Nest Cards_10-24-19_cleaned.xlsx”) and the table of observer names (“Observer Names_1985-2019_10-24-19.xlsx”). The code writes the QC nest card file “Nest_Cards_1985_2019_QC.csv”. Mostly obseration...
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
The Arctic LCC has developed a Project Tracking System(PTS) to electronically manage the metadata and data associated with projects. The PTS is used to track projects throughout all stages of development, from receipt of proposals through delivery of final products. The PTS allows staff to access and manage project data using a web browser and is developed and designed to operate on open source software. The Arctic LCC is making the open source code for the PTS available to anyone wishing to develop their own method of tracking projects.
Successful conservation strategies in the face of climate change will require careful consideration of how changing climate will affect wildlife and habitats. Development of innovative, data driven, accessible tools will assist in understanding and planning for those effects. This document serves the final report for U.S. Fish and Wildlife Service (USFWS) project # F11AC00028 that provides tools that enhance the U.S. Fish and Wildlife Service’s (and others) climate change toolbox. This project was funded to (1) develop climate envelope models and associated prediction maps for 26 federally threatened and endangered terrestrial (T&E) vertebrate species occurring in peninsular Florida; (2) provide a technical guidebook...
Categories: Data; Tags: BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, All tags...
This website provides information about the National Stream Internet, which had two goals: 1) refine key spatial and statistical stream software and digital databases for compatibility so that a nationally consistent analytical infrastructure exists and is easy to apply; and 2) engage a grassroots user-base in application of this infrastructure so they are empowered to create new and valuable information from stream databases anywhere in the country. This website is a hub designed to connect users with software, data, and tools for creating that information. The website can be found at: https://www.fs.fed.us/rm/boise/AWAE/projects/NationalStreamInternet.html.
Categories: Data, Web Site; Tags: Completed, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, All tags...
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R code that takes in the nest capture history data (chdata.csv), reformats it for model fitting in Program Mark via the R package RMark. A series of models of increasing complexity are fit and compared using AIC. Output is written to text files for each model but is generally not used or saved. Code can be run to generate model results and R workspaces/ object to inspect parameter estimates. The primary purpose of this code is to explore model structures for predicting detection and as an attempt to reproduce historically used parameter estimates in past nest plot reports (e.g., Fischer et al. 2017 and earlier). Results from ‘Model 7’ are most similar to detection estimates used in the past.
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, BIOLOGICAL CLASSIFICATION, BIOLOGICAL CLASSIFICATION, All tags...
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This R code (YKDsalinity_QC.R) is used to process the raw legacy salinity data for fixed and random plots (2006 - 2019) and produce the quality controlled legacy salinity data for analysis and sharing (YKDsalinity_QC.csv). Basic operations include transforming missing value to a common code, transforming other variables to match the data dictionary, and cleaning spatial location issues. Of special note is that this QC process discover significant error in location data due to a variety of reasons so the random plot centers are added to the data table and should be used for analysis. The code requires the raw data (“Official_YKD.SALINITY.DATA.MASTER.2020.csv”), a definition of the nest plot study area (“NestPlotStudyAreaBoundary.geojson”),...
The National Stream Internet (NSI) project was funded by the LCC program and led by researchers from USFS, CSIRO, NOAA, and USGS. The project developed a national analytical infrastructure for stream data that can be applied consistently anywhere in the country to develop new information at low cost. To create that infrastructure, the NSI project developed compatibility among key digital stream geospatial data and analysis tools. Those included the EPA/USGS NHD-Plus v.2 stream hydrography layer, sets of stream reach descriptors, and tools for implementing spatial statistical network models. The NSI enables consistent application of sophisticated analysis tools to many types of stream data throughout the U.S. Moreover,...
Categories: Data; Tags: Completed, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, All tags...
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This project facilitates research within the North Slope science community through improved data sharing and collaboration. This is achieved through the development and implementation of secure data services (SDS) protocols within the North Slope Science Catalog. Implementation included: 1)Determine SDS protocols that will encourage data provider participation. These might include use request, login authorization, prescribed distribution intervals, use agreement and distribution tracking. Initial prototype would consider Migratory Bird Management requirements; 2)Develop Catalog web based SDS implementation that would promote protocols as identified above; This would require cooperative work between data providers...
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R code that takes in the nest capture history data (chdata.csv), reformats it for model fitting in the Bayesian MCMC software JAGS via the R package jagsUI. Various generalized linear mixed models are fit using a Huggins two occasion capture history model structure as in Program Mark. A series of models of increasing complexity are fit and compared using DIC. Model text is written to text files for each model but is generally not used or saved. Posteriors are saved as Rworkspaces or written to text files for use in population estimation (nostpop.R). Code can be run to generate model results and R workspaces/objects to inspect parameter estimates. The primary purpose of this code is to compare various mixed model...
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, BIOLOGICAL CLASSIFICATION, BIOLOGICAL CLASSIFICATION, All tags...
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This R code (eggs.R) inputs the quality controlled nest card data and (1) performs additional quality control on the egg code data, (2) reformat the eggs data into a tidy file of egg observations, (3) summarizes egg data into yearly means of initiation and hatch date based on incubation model, and (4) writes csv files for tidy egg data (eggs.csv) and yearly nest stats (yearstats.csv).
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
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Water availability, distribution, quality and quantity are critical habitat elements for fish and other water-dependent species. Furthermore, the availability of water is also a pre-requisite for a number of human activities. The density of weather and hydrology observation sites on the North Slope is orders of magnitude less than in other parts of the U.S., making it difficult to document hydrologic trends and develop accurate predictive models where water is a key input. The information that does exist is scattered among many entities, and varies in format. This multi-year data rescue effort project brings together these scarce and scattered hydrology data sets, including high-priority datasets held by the Bureau...
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Managers and scientists are working together in a new project to understand and optimally manage conservation lands along the Atlanta and Mississippi Flyways to support continental populations of waterbirds. It will advance the development of an integrated waterbird monitoring and management program to inform decision-makers and resource managers in an adaptive management context, resulting in improved resource contributions toward waterfowl, shorebirds, and long-legged waders. This project uses adaptive management and modeling tin an innovative way that incorporates their management expertise as well as new conservation planning and modeling tools. We are focusing on wetland-dependent migratory birds that use the...
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Water availability, distribution, quality and quantity are critical habitat elements for fish and other water-dependent species. Furthermore, the availability of water is also a pre-requisite for a number of human activities. The density of weather and hydrology observation sites on the North Slope is orders of magnitude less than in other parts of the U.S., making it difficult to document hydrologic trends and develop accurate predictive models where water is a key input. The information that does exist is scattered among many entities, and varies in format. This multi-year data rescue effort project brings together these scarce and scattered hydrology data sets, including high-priority datasets held by the Bureau...
The rate at which new information about stream resources is being created has accelerated with the recent development of spatial stream-network models (SSNMs), the growing availability of stream databases, and ongoing advances in geospatial science and computational efficiency. To further enhance information development, the National Stream Internet (NSI) project was developed as a means of providing a consistent, flexible analytical infrastructure that can be applied with many types of stream data anywhere in the country. A key part of that infrastructure is the NSI network, a digital GIS layer which has a specific topological structure that was designed to work effectively with SSNMs. The NSI network was derived...
Categories: Data; Tags: Completed, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, DATA ANALYSIS AND VISUALIZATION, All tags...
This project will engage researchers from the University of Idaho to assist with a set of analysis tasks that will improve understanding of seabird population dynamics and environmental drivers at a regional scale based on prior survey efforts that have been focused at a colony scale. Specifically, we envision the development of a population model for a couple of index species like murres and kittiwakes, including evaluation of spatial clustering of populations that co-vary, in order to: 1) asses implications of covariates with identified mechanisms and appropriate temporal (pre-breeding condition, summer, rearing, overwinter survival, etc.) and spatial scales; 2) evaluate the feasibility of combining seabirds into...
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This project includes the following tasks: Update the viewer to add the following components from future Blueprint versions and data products: a) Update Blueprint priority layer with future versions, and b) Update indicator charting at level of individual indicators and ecosystems. Develop pixel-level filtering feature: a) Build a user interface to allow users to filter the Blueprint by indicator value, and b) Set up appropriate computing resources, including cloud-hosted virtual machine and software installation. Scope and develop mobile responsive design: a) Investigate and develop strategy to incorporate mobile capability into the Simple Viewer, and b) Build compatible mobile responsive interface. Investigate...


map background search result map search result map Template for Strategic Habitat Conservation (SHC) implementation to meet waterbird management needs Improve viewer for South Atlantic Conservation Blueprint Version 2.1 and 2.2 Secure Data Services - Improved Data Sharing Through Accountability Hydroclimatological Data Rescue Project Final Report Hydroclimatological Data Rescue Project Final Report - Executive Summary HydroClimate Data Rescue Factsheet Alaska Yukon Delta Detection Model Fitting Code Using R and RMark Alaska Yukon Delta Nest Plot Survey Detection Model Fitting Code Using R and JAGS Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Quality Control R Code Alaska Yukon Delta Salinity Quality Control R Code Alaska Yukon Delta Tidy Eggs data R Code Alaska Yukon Delta Detection Model Fitting Code Using R and RMark Alaska Yukon Delta Nest Plot Survey Detection Model Fitting Code Using R and JAGS Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Quality Control R Code Alaska Yukon Delta Salinity Quality Control R Code Alaska Yukon Delta Tidy Eggs data R Code Template for Strategic Habitat Conservation (SHC) implementation to meet waterbird management needs Improve viewer for South Atlantic Conservation Blueprint Version 2.1 and 2.2 Hydroclimatological Data Rescue Project Final Report Hydroclimatological Data Rescue Project Final Report - Executive Summary HydroClimate Data Rescue Factsheet Secure Data Services - Improved Data Sharing Through Accountability