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Baird's Sparrow weighted mean occurrence quartiles [U.S. Fish and Wildlife Service]

{'name': 'Department of the Interior'} Full Details

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Title
Baird's Sparrow weighted mean occurrence quartiles [U.S. Fish and Wildlife Service]
Description
File-based data for download:https://ecos.fws.gov/ServCat/Reference/Profile/143876Currently, there is an effort to develop conservation strategies for four declining endemic grassland birds of the Great Plains, including Sprague's Pipit, Chestnut-collared Longspur, Thick-billed Longspur, and Baird's Sparrow (Somershoe 2018). Multiple density and/or distribution models for the breeding range of these species are available; however, they were developed using different survey data, analytical techniques, landscape scales, resolutions, spatial extents, and temporal representation. Understandably, this has caused confusion for conservation planning efforts. We utilized existing models to create weighted mean layers of occurrence for these four species. We incorporated models from six sources (Lipsey 2015, Niemuth et al. 2017, Fedy et al. 2018, Fields et al. 2018, Fink et al. 2019, Robinson unpublished). Density models were transformed from a Poisson distribution to a binomial distribution (Royle and Nichols 2003). All models were projected to a common coordinate system with cells aligned. Weighted mean calculations give more weight to a cell values that agrees with the ensemble of cell values at that location, with less weight given the further a cell deviates from the ensemble's mean (Maestas et al. 2020). Analyses were conducted at the native resolution and extent of constituent models, and all composite metric outputs were calculated using the maximum extent and minimum resolution of the ensemble. CitationsFedy, B., J. H. Devries, D. W. Howerter, and J. R. Row. 2018. Distribution of priority grassland bird habitats in the Prairie Pothole Region of Canada. Avian Conservation and Ecology 13(1):4.https://doi.org/10.5751/ACE-01143-130104Fields S. P., K. W. Barnes, N. D. Niemuth, R. Iovanna, A. J. Ryba, and P. J. Moore. 2018. Developing decision support tools for optimizing retention and placement of Conservation Reserve Program grasslands in the Northern Great Plains for grassland birds. Report prepared for the United States Department of Agriculture Farm Service Agency Reimbursable Fund Agreement 16-IA-MRE CRP TA 5. www.fsa.usda.gov/Assets/USDA-FSA-Public/usdafiles/EPAS/natural-resouces-analysis/Wildlife/pdfs/FSA_Optimizing_CRP_Interim_Report_092917.pdfFink, D., T. Auer, A. Johnston, V. Ruiz-Gutierrez, W. M. Hochachka, and S. Kelling. 2019. Modeling avian full annual cycle distribution and population trends with citizen science data. Ecological Applications 30:e02056. https://doi.org/10.1002/eap.2056 Lipsey, M. K. S. 2015. Cows and plows: science-based conservation for grassland songbirds in agricultural landscapes. University of Montana, Missoula, MT, USA Maestas J., M. Jones, N. Pastick, M. Rigge, B. Wylie, L. Garner, M. Crist, C. Homer, S. Boyte, and B. Witacre. 2020. Annual Herbaceous Cover across Rangelands of the Sagebrush Biome: U.S. Geological Survey data release, https://doi.org/10.5066/P9VL3LD5; https://chohnz.users.earthengine.app/; https://rangelands.app/products/annualHerbaceousCoverMethods.pdfNiemuth, N. D., M. E. Estey, S. P. Fields, B. Wangler, A. A. Bishop, P. J. Moore, R. C. Grosse, and A. J. Ryba. 2017. Developing spatial models to guide conservation of grassland birds in the U.S. Northern Great Plains. Condor 119:506-525. https://doi.org/10.1650/CONDOR-17-14.1Royle, J. A., and J. D. Nichols. 2003. Estimating abundance from repeated presence-absence data or point counts. Ecology 84:777-790. https://doi.org/10.1890/0012-9658(2003)084[0777:EAFRPA]2.0.CO;2Somershoe, S. G. (editor). 2018. A Full Annual-Cycle Conservation Strategy for Sprague's Pipit, Chestnut-collared and McCown's Longspurs, and Baird's Sparrow. U.S. Department of the Interior, Fish and Wildlife Service, Washington, D.C.
Creator
{'name': 'Department of the Interior'}
Temporal Coverage
Last modified 2022-05-31
Date Issued
2022-04-08
Rights
United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy and completeness of data provided for distribution, it may not have the necessary accuracy or completeness required for every possible intended use. The Service recommends that data users consult the associated metadata record to understand the quality and possible limitations of the data. The Service creates metadata records in accordance with the standards endorsed by the Federal Geographic Data Committee. As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of the data. It is the responsibility of the data user to use the data in a manner consistent with the limitations of geospatial data in general and these data in particular. Although these data have been processed successfully on a computer system at the Service, no warranty, expressed or implied, is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This applies to the use of the data both alone and in aggregate with other data and information.In accordance with a data sharing agreement with Environment and Climate Change Canada please note:This product has been produced by Kevin Barnes (United States Fish and Wildlife Service) and includes data provided by Environment and Climate Change Canada. The incorporation of data sourced from Environment and Climate Change Canada within this product shall not be construed as constituting an endorsement by Environment and Climate Change Canada of our product. 1. Her Majesty the Queen in Right of Canada (“Canada”) is the owner, or a licensee, ofIntellectual Property Rights in Grassland Bird Weighted Mean Occurrence Models (GBWMOM) and has licensed to United States Fish and Wildlife Service certain rights to such intellectual property, including the right tosublicense it to third parties, on certain terms and conditions. With payment of the requisite fee(where applicable), data users are hereby granted a non-exclusive, world-wide, non-assignablelicence to exercise such of Canada’s Intellectual Property Rights in GBWMOM as is necessary for Customer to use, reproduce, extract, modify, translate,further develop and further distribute GBWMOM, and as is necessaryfor Customer to manufacture and distribute products that Customer may develop byconstructing, deriving, developing, adapting, incorporating or by any other means usingGBWMOM, in whole or in part.2. Customer shall include on all products Customer develops or causes to be developed in theexercise of Customer’s rights under section 1 above, in a prominent location, the followingnotice:This product has been produced by or for __________ (Customer’s name) and includesdata provided by Environment and Climate Change CanadaThe incorporation of data sourced from Environment and Climate Change Canadawithin this product shall not be construed as constituting an endorsement byEnvironment and Climate Change Canada3. All copyright, other proprietary notices of Canada and metadata appearing on or incorporated into GBWMOM, as well as any and all conditions of use associated with GBWMOM, shall be incorporated and maintained on all reproductions of GBWMOM.4. Customer shall not disassemble, decompile except for the specific purpose of recompilingfor software compatibility, or in any way attempt to reverse engineer GBWMOM or any part thereof.5. Customer shall not merge or link GBWMOM with any product ordatabase in such a fashion that gives the appearance that Customer may have received, or hadaccess to, information held by Canada about any identifiable individual, family, household,organization or business.6. GBWMOM IS PROVIDED ON AN ‘AS-IS’ BASIS.CUSTOMER ACKNOWLEDGES AND AGREES THAT CANADA HAS MADE NOREPRESENTATION OR WARRANTY OF ANY KIND WITH RESPECT TO THEACCURACY, USEFULNESS, NOVELTY, VALIDITY, SCOPE, COMPLETENESS ORCURRENCY OF GBWMOM OR ANY ELEMENTSTHEREIN CONTAINED AND HAS EXPRESSLY DISCLAIMED ANY IMPLIEDWARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSEOF GBWMOM.7. CUSTOMER SHALL HAVE NO RECOURSE AGAINST CANADA, WHETHER BYWAY OF ANY SUIT OR ACTION OR OTHER, FOR ANY LOSS, LIABILITY, DAMAGEOR COST THAT CUSTOMER MAY SUFFER OR INCUR AT ANY TIME, BY REASONOF CUSTOMER’S POSSESSION OR USE OF GBWMOM.
Access Rights
Public
Format
File
Language
English
Date Added
August 11, 2023

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Cite and Reference

  • Citation
    {'name': 'Department of the Interior'} (2022). Baird's Sparrow weighted mean occurrence quartiles [U.S. Fish and Wildlife Service]. . https://gis-fws.opendata.arcgis.com/maps/fws::bairds-sparrow-weighted-mean-occurrence-quartiles (web service)
  • BTAA Geoportal Link

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