Filters: Tags: accepted (X) > Types: OGC WFS Layer (X)
31 results (86ms)|
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
This carbon sequestration research is part of a new pilot grassland conservation program to protect at-risk grasslands from conversion to cropland in the northern Great Plains. Natural resources partners have leveraged more than $3 million in private and federal funding to support an innovative program that extends protection of privately-owned grasslands that have expired under the Conservation Reserve Program (CRP). In the past two years alone, the number of CRP acres nationally has dropped from 31.2 million to 27 million. Of the 4.2-million-acre-decline, lands lost in North Dakota and Montana accounted for 1.6 million acres, or 38 percent. The program aims to encourage private landowners to conserve CRP grasslands...
This product contains the transcribed count data from the Alaska Izembek Winter Brant Survey. These data were produced from transcribed georeferenced voice recordings using customized software developed by John Hodges (Program Record, Program Transcribe).
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIOLOGICAL CLASSIFICATION,
BIRDS,
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,
Understanding the physiological impacts of climate change on arid lands species is a critical step towards ensuring the resilience and persistence of such species under changing temperature and moisture regimes. Varying degrees of vulnerability among different species will largely determine their future distributions in the face of climate change. Studies have indicated that Northern Mexico and the Southwestern United States are likely to become climate change hotspots, experiencing significantly drier and warmer average conditions by the end of the 21st century. However, relatively few studies have examined specifically the physiological effects of climate change on species inhabiting this region. This manuscript...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2014,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
Montane Conifer Connectivity of areas of high elevation and high human footprint in the North Pacific Landscape Conservation Cooperative study area. This application provides Montane Conifer Connectivity for 2000 and 2080 (A1B).The three primary geospatial layers used in this analysis were a digital elevation model (DEM), a vegetation layer, and a human footprint layer. Due to the geographic extent of the North Pacific Landscape Conservation Cooperative, digital elevation models from different sources had to be used to create one seamless DEM. The digital elevation models were obtained from the Shuttle Radar Topography Mission (SRTM), the United States Geologic Survey, and the Government of the Yukon Territory....
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: AK,
AK-1,
Academics & scientific researchers,
B.C.,
CA,
While wildlife species do not respect political boundaries, conservation planning and implementation is often restricted by them. Thus, regionally rare species can be placed in the unenviable position of not being prioritized by any jurisdiction that they inhabit due to competition for scarce conservation resources. A regional conservation framework will enable states to cooperate toward common goals and share the costs and accomplishments of regionally conserving at risk species. However, the development of a regional conservation framework is inhibited by patchy species occurrence data. These data gaps can be informed by species distribution models. This project will compile available mussel data, develop species...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Midwest R3 Science Applications,
Project,
accepted,
environment
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,
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”),...
Categories: Data,
Software;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BIOSPHERE,
BIOSPHERE,
BIOSPHERE,
DATA INTEROPERABILITY,
DATA INTEROPERABILITY,
Information about the amount of habitat needed to support monarchs and how it should be distributed across the landscape will have direct implications for FWS habitat restoration programs. In the St. Croix Wetland Management District (WMD), this information will inform decision making for prioritizing Partners for Fish and Wildlife Projects on private lands as well as upland restoration efforts on WPAs and partner lands. The monarch information gained from this project will be another piece of the ecological puzzle, in addition to waterfowl, endangered species and grassland bird information for landscape-level restoration projects. In addition, the St. Croix WMD is partnering with the National Park Service, U.S....
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Midwest R3 Science Applications,
Project,
accepted,
environment
Collaborative approach to the evaluation of empirical evidence from private land forestry landscapes on the value of sustainable forestry management for sustaining species at risk, specifically through demonstration projects in six DOI Unified Regions. Projects are evaluating the role of sustainable forest management practices on key species occurring in landscapes dominated by lands owned by NAFO members.Six projects are evaluating the role of sustainable forest management practices on key species.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Project,
Science Applications,
accepted,
environment
This project will be focused on hosting 2-3 workshops in 2013 to train people to conduct the Springs Stewardship Institute’s spring assessment protocol and promote it as a standardized method. This will facilitate standardized data collection across the landscape that can contribute to a broad-scale inventory and assessment of springs, seeps, and aquatic resources throughout the Desert LCC.
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: 2012,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
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,
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,
mdEditorWeb application for writing metadata. Built using ember.js.See CONTRIBUTING.md for info on making contributions.Also, see the wiki for more info about the project.Prerequisites (for development)You will need the following things properly installed on your computer. Git Node.js (with NPM) Bower Ember CLI PhantomJSInstallation git clone https://github.com/adiwg/mdEditor.git this repository cd mdEditor change into the new directory npm install bower installRunning / Development ember server Visit your app at http://localhost:4200.Code GeneratorsMake use of the many generators for code, try ember help generate for more detailsRunning Tests ember test ember test --serverBuilding ember build (development) ember...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: LCC,
Project,
accepted
mdEditorWeb application for writing metadata. Built using ember.js.See CONTRIBUTING.md for info on making contributions.Also, see the wiki for more info about the project.Prerequisites (for development)You will need the following things properly installed on your computer. Git Node.js (with NPM) Bower Ember CLI PhantomJSInstallation git clone https://github.com/adiwg/mdEditor.git this repository cd mdEditor change into the new directory npm install bower installRunning / Development ember server Visit your app at http://localhost:4200.Code GeneratorsMake use of the many generators for code, try ember help generate for more detailsRunning Tests ember test ember test --serverBuilding ember build (development) ember...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: LCC,
Project,
accepted
The WBPHS_AK bird observation data are archived as two separate datasets: 1) the raw data as originally transcribed by survey observers; and 2) the data as edited via a quality-control (QC) process. Among other things, the QC process removed records of certain non-waterfowl species, and it changed some species codes to meet the MBM-Alaska Waterfowl Program’s standardized format for transect waterfowl surveys. The QC dataset is that which MBM-Alaska uses for analyses and is considered the most appropriate for sharing with other users.This collection of files comprises the raw transcribed WBPHS_AK bird-observation data. There is one file for each year and observer: WBPHS_YYYY_RawObs_OOO.csv, where YYYY=Year and OOO=Observer...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
BIOLOGICAL CLASSIFICATION,
BIOLOGICAL CLASSIFICATION,
BIRDS,
Capture mule deer, elk, and pronghorn in priority herds to attach GPS radio collars, and analyze those data to understand migration patterns, stopover areas, and seasonal habitats, 2) deploy trail cameras on existing herds to quantify use of wildlife crossing structures, 3) purchase remote sensing imagery and analysis of mule deer and pronghorn GPS collars to identify conflict areas with feral equids, and 4) conduct habitat evaluation of stopover sites where prior habitat improvement treatments have been conducted.
Building upon the successful efforts of SARP, Texas Parks and Wildlife Department (TPWD), and other federal, state, and local partners to establish and implement NFCAs in the Llano River watershed, TX and Chipola River watershed, FL (Birdsong et al., 2015, Garrett et al. 2015), we will coordinate a series of watershed-based conservation planning workshops focused on eight priority river systems in the Great Plains (i.e., the White River, Platte River, Arkansas-Kansas Rivers, Canadian River, Deep Fork River, Red River, Brazos River, and Colorado River). We will utilize conservation assessments and conservation planning tools recently developed by Labay and Henderickson (2014; http://repositories.lib.utexas.edu/handle/2152/27744)...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
Academics & scientific researchers,
Conservation Plan/Design/Framework,
Conservation Planning,
FISH,
Managers typically estimate wildlife abundance using surveys within a timeframe that favors increased detectability; however, the ability to account for probabilities of inclusion, detection, and/or presence within a given sampling area is often limited. Cranes provide a good opportunity to research count accuracy because they are large, conspicuous, and often congregate during part of the year, typically on staging areas (i.e., fall and spring) or on wintering grounds. The objectives of this paper are twofold: (1) to evaluate how environmental factors influence crane movement in and out of crane survey areas to identify the best window of availability for annual survey counts, and (2) to evaluate environmental...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: EARTH SCIENCE > CLIMATE INDICATORS,
EARTH SCIENCE > CLIMATE INDICATORS > LAND SURFACE/AGRICULTURE INDICATORS,
EARTH SCIENCE > LAND SURFACE,
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Grassland ecosystems established under the conservation reserve program (CRP) in the Prairie Pothole Region (PPR) currently provide soil conservation and wildlife habitat services. We aimed to determine if these lands also sequester soil organic carbon (SOC), as compared with neighboring croplands across multiple farms in the North Dakota PPR. We sampled soil from small plots at 17 private farms in the central North Dakota PPR, where long-term (C15 years) grasslands managed under the CRP were paired with neighboring annual croplands. Cores were collected to 100 cm and split into 0–10, 10–20, 20–30, 30–40, 40–70, and 70–100 cm soil depth layers. We hypothesized the effect of land use on soil organic carbon (SOC),...
|
|
