Replication Data for: Breeding bird response to adaptive multi-paddock and continuous grazing practices in Southeastern United Statesdoi:10.48349/ASU/7DCWIKASU Library Research Data Repository2024-04-232Byck, Peter; McGraw, Michael J., 2024, "Replication Data for: Breeding bird response to adaptive multi-paddock and continuous grazing practices in Southeastern United States", https://doi.org/10.48349/ASU/7DCWIK, ASU Library Research Data Repository, V2, UNF:6:IEVgVCMxKqq21zw4XLedRw== [fileUNF]Replication Data for: Breeding bird response to adaptive multi-paddock and continuous grazing practices in Southeastern United Statesdoi:10.48349/ASU/7DCWIKByck, PeterMcGraw, Michael J.Apfelbaum, Steven I.Thompson, RyWang, FuguiSzuter, Michael A.Teague, RichardConser, RussSchool of SustainabilityAdolphus, KYJasper, TNFt. Payne, ALPiedmont, ALWoodville, ALRMicrosoft ExcelASU Library Research Data RepositoryByck, PeterMcGraw, MichaelByck, Peter2024-04-23Agricultural SciencesBirds--BreedingSoutheastern United StatesAgricultural LandThe dataset consists of survey data results for multiple unlimited distance, single observer point count breeding bird surveys at ten selected ranches over two consecutive years. The methods selected and the time intervals used to collect the data are arranged in a manner that is consistent with many state, federal, and international protocols for bird population data collection with the expressed intention of allowing flexibility/usability in comparison with other studies. The data rows are unique observations, and the columns are the varying metrics (ex. species, taxonomic order, location, date, time, distance, direction, abundance, behavior, etc.). Additionally, a custom R package for analyzing effective detection radii per species was developed and the script is provided. Review of the data will require Microsoft Excel and analysis/review of the statistical analyses will require R (Version 4.3.1). It is anticipated that other researchers studying breeding bird population dynamics within working lands and/or grasslands in the southeastern USA might be able to compare or include these data into larger studies.2018-05-012019-07-01Please note when downloading the original bird data "Final Data for Analysis_11-6-23" make sure to download in the original format (.csv) so that it can work with the associated r script. The repository automatically converts tabular data to a tab format, which will not work with the current script.Apfelbaum, S., Thompson, R., Wang, F., Mosier, S., Teague, R., and Byck, P. (2022). Vegetation, water infiltration, and soil carbon response to Adaptive Multi-Paddock and Conventional grazing in Southeastern USA ranches. Journal of Environmental Management, 308, 114576.doi:10.1016/j.jenvman.2022.114576Apfelbaum, S., Thompson, R., Wang, F., Mosier, S., Teague, R., and Byck, P. (2022). Vegetation, water infiltration, and soil carbon response to Adaptive Multi-Paddock and Conventional grazing in Southeastern USA ranches. Journal of Environmental Management, 308, 114576.Mosier, S., Apfelbaum, S., Byck, P., Calderon, F., Teague, R., Thompson, R., & Cotrufo, M. F. (2021). Adaptive multi-paddock grazing enhances soil carbon and nitrogen stocks and stabilization through mineral association in southeastern U.S. grazing lands. Journal of environmental management, 288, 112409.doi:10.1016/j.jenvman.2021.112409Mosier, S., Apfelbaum, S., Byck, P., Calderon, F., Teague, R., Thompson, R., & Cotrufo, M. F. (2021). Adaptive multi-paddock grazing enhances soil carbon and nitrogen stocks and stabilization through mineral association in southeastern U.S. grazing lands. Journal of environmental management, 288, 112409.Final Data for Analysis_11-6-23.tab287917text/tab-separated-valuesUNF:6:IEVgVCMxKqq21zw4XLedRw==Original bird dataUNIDUNF:6:J/nD2K0RPQs3reFt2Mgp2Q==SiteUNF:6:DezN5o0COfab0/THp+yjgA==DateUNF:6:iGLFckgqtfcKO/rSEBMWew==SampEv1.00.02879.04.3313650573115664.08.0.2.467007999487669UNF:6:iV9ofQdDeDgKTc+afejSJg==PointUNF:6:XGCH2U2KTnqc5IjEnsk4Xw==AlphaCodeUNF:6:S08HacpesY/WMbQor7wk0w==Count1.02879.01.457198556839397746.0.0.01.01.241403265022576UNF:6:gya/HBMkrdB1O+URmk95rg==BehaviorUNF:6:25fJ/WzDLbeuZjG4fiSZ9Q==Dir_ptUNF:6:ExpFDdvKWUnPpCJ9BS11XA==Dist_pt109.709274053491211000.075.02879.00.087.080928672260820.0.UNF:6:zWmDnfXZq3PD9bW/2pwMXA==CommNameUNF:6:AU+UIPYLdPjX372FhQUA+g==TaxBinUNF:6:qbv7IJqbr9ev91+me87aHA==Tax Ord1107.0825.4383466481409.252.339760428328560.015.02879.0849.0UNF:6:gaGAtl3Sf2ztA8ocw2HFww==GuildUNF:6:HgNU+h4Hir9dAfhYP7lDNw==GrazingTypeUNF:6:xcIfS9WMfQurCzvIofeFBg==NewGuildUNF:6:vYIljKM174rIDv+uIkusHA==RanchPairUNF:6:Ch/JxALuxJsoZs2PcnIPPg==AMP_SE_BIRDS_TABLES_FIGURES.pdfResultsapplication/pdfREADME_AMP_Southeast.txttext/plainSE_AMP_Birds_final.ROriginal R script for statistical analysistype/x-r-syntax