Jornada Bibliography

Export 236 results:
Filters: First Letter Of Last Name is M  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
M
McCord S, Stauffer N.  2020.  Terradactyl: an example of modularity and ontologies to ensure the sustainability of open source software. Society for Range Management.
McCord S, Webb N, Bonefont K, Burke R, Edwards B, Bestelmeyer BT, Herrick JE.  2020.  A data commons approach can help span scales and stakeholders to support ecosystem conservation and land use. Ecological Society of America.
McCord S, Webb N, Van Zee J, Burnett S, Christensen EM, Courtright E, Laney C., Lunch C, Maxwell CJ, Karl JW et al..  2021.  Provoking a Cultural Shift in Data Quality. BioScience.
McCord S, Welty JL, Courtright J, Dillon C, Traynor A, Burnett S, Courtright E, Fults G., Karlgh JW, Van Zee J et al..  2021.  Ten practical questions to improve data quality. Rangelands. :1-12.
McCord S, Karl JW.  2015.  Using the best available data: integrating field data and remote sensing imagery to monitor rangelands. 68th Annual Society for Range Management Meeting.
McCord S, James D.K, Wilson D, Karl JW, Kachergis E.  2015.  Multiscale ecosystem monitoring: an application of scaling data to answer multiple ecological questions. 68th Annual Society for Range Management Meeting.
McCord S, Pilliod D.  2022.  Adaptive monitoring in support of adaptive management in rangelands. Rangelands. 44(1):1-7.
McCord S, Karl JW, Van Zee J, Courtright E.  2017.  Analytical approaches to quality assurance and quality control in rangeland monitoring data. 70th Annual Society for Range Management meeting. Jan 1 - Feb 2, 2017, Saint George, Utah
McCord S, Stauffer N, Garman S.L, Webb N.  2017.  Emerging ecological datasets with application for modeling North American dust emissions. American Geophysical Union.
McCord S, Stauffer N.  2019.  Terradactyl: R Package for rangeland core methods data extraction and calculation. 72nd Society for Range Management International Meeting.
McCord S, Bestelmeyer BT, Browning DM, Burkett LM, Edwards B, Herrick JE, Kachergis E, Lepak N, Lister L, Metz L et al..  2021.  Participatory research and co-production of knowledge: Building on a century of Jornada experience to expand LTAR outcomes and impacts. LTAR Annual Meeting.
McCord S, Webb N, Bonefont K, Courtright E, Duni D, Edwards B, Goodrich DC, Heilman P, Hernandez M, Metz L et al..  2021.  Leveraging standardized monitoring data to support grazing land soil erosion assessments. LTAR Annual Meeting.
McCord S, Buenemann M., Karl JW, Browning DM, Hadley B.  2017.  Integrating remotely-sensed imagery and existing multi-scale field data to derive rangeland indicators: an application of Bayesian additive regression trees. Rangeland Ecology and Management. 70:644-655.
McCleery NB.  1954.  The effects of mild inbreeding on weaning weight and grade of Hereford cattle. :29.
McCaslin BD, Barrow J.R..  1995.  The role of microbes in resource management in arid ecosystems. Wildland Shrub Symposium. :22.
McAllister MM, Schooley RL, Bestelmeyer BT, Coffman JM, Cosentino B.  2014.  Effects of grassland restoration efforts on mound-building ants in the Chihuahuan Desert. Journal of Arid Environments. 111:79-83.
Maze RL.  1965.  Bird populations of a desert scrub area in southern New Mexico.
Maynard J, Herrick JE, Salley S.W, Dylan E., Beaudette D., O'Green A..  2020.  Landpks Soilid: A Smartphone-Based Soil Identification Tool for Rangeland Management. Society for Rangeland Meetings.
Maynard J, Karl JW.  2018.  Science with a selfie stick: Plant biomass estimation using smartphone based ‘Structure From Motion’ photogrammetry. Society for Range Management Meeting Proceedings. January 28-February 2, 2018
Maynard J, Salley S.W, Beaudette D., Herrick JE.  2020.  Numerical soil classification supports soil identification by citizen scientists using limited, simple soil observations. Soil Science Society of America Journal. :1-18.
Maynard J, Karl JW, Browning DM.  2015.  Detecting long-term vegetation change in an arid rangeland ecosystem: Investigating effects of spatial image support within satellite time-series. 68th Annual Meeting of the Society for Range Management.
Maynard J, Karl JW.  2015.  A hyper-temporal remote sensing protocol for detecting ecosystem disturbance, classifying ecological state, and assessing soil resilience. 2015 Soil Science Society of America Annual Meeting.
Maynard J, Johnson M.  2015.  On quantifying active soil carbon using mid-infrared spectroscopy. 5th International Symosium on Soil Organic Matter Dynamics: Land USe, Management and Global Change.
Maynard J, Karl JW, Browning DM.  2016.  Effect of spatial image support in detecting long-term vegetation change from satellite time-series. Landscape Ecology. (31):2045-2062.
Maynard J, Yeboah E, Owusu S, Buenemann M., Neff J., Herrick JE.  2022.  Accuracy of regional-to-global soil maps for on-farm decision making: Are soil maps “good enough”? Egusphere.
Maynard J, Levi M.  2017.  Hyper-temporal remote sensing for digital soil mapping: Characterizing soil-vegetation response to climatic variability. Geoderma. 285:94-109
Maynard J, Karl JW.  2017.  An automated approach to mapping ecological sites using hyper-temporal remote sensing and SVM classification. 70th Annual Society for Range Management Meeting. Jan 01 - Feb 02, 2017
Maynard J, Nauman T, Salley S.W, Bestelmeyer BT, Duni D, Talbot C, Brown JR.  2019.  Digital mapping of ecological land units using a nationally scalable modeling framework. Soil Science Society of America Journal. 83:666-686.
Maynard J, Maniak S, Hamrick L, Peacock G, McCord S, Herrick JE.  2022.  LandPKS Toolbox: Open-source mobile app tools for sustainable land management. Journal of Soil and Water Conservation. 77(6):91A-97A.
Mayaud J, Webb N.  2017.  Vegetation in drylands: Effects on wind flow and aeolian sediment transport. Land. 6, 64
Mayagoitia-Gonzalez P.E, C. Bailey D, Estell RE.  2012.  Effect of supplementing activated charcoal on the intake of honey mesquite leaves by lambs. 2012 Joint Annual Meeting American Society of Animal Science (ASAS). 63:7-9.
Mayagoitia-Gonzalez P.E, C. Bailey D, Estell RE.  2012.  Effect of supplementing activated charcoal on the intake of honey mesquite leaves by lambs. Journal of Animal Science. 90 (Suppl. 3)
Mayagoitia P, C. Bailey D, Estell RE.  2020.  Phenological changes in the nutritive value of honey mesquite leaves, pods, and flowers in the Chihuahuan Desert. Agrosystems, Geosciences & Environment. 3
Mayagoitia P, Walker J.W., Pittarello M, Estell RE, C. Bailey D.  2015.  Detection of honey mesquite leaves in cattle diets using fecal near infrared reflectance spectroscopy. 68th Annual Society for Range Management Meeting.
Mayagoitia P, C. Bailey D, Estell RE.  2012.  Intake of honey mesquite (Prosopis glandulosa) leaves by lambs using different levels of activated charcoal. 17th Wildland Shrub Symposium. p. 29
Mauritz M, McCord S.  2021.  Data management in excel and R using national ecological observatory network's (NEON) small mammal data. Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis.
Mathis V.L, Whitford WG, Kay F.R, Alkon P.U..  2006.  Effects of grazing and shrub removal on small mammal populations in southern New Mexico, USA. Journal of Arid Environments. 66:76-86.
Mathis C.P., Waggoner J.W., Fredrickson E.L..  2005.  Low-stress weaning and preconditioning considerations. Cattle Growers' Short Course Proceedings and Livestock Research Briefs. :56-60.
Matheys DG.  1985.  Implications of rodent and rabbit grazing in the Chihuahuan Desert. :35.
Matamala R., Fan Z, Jastrow J., Liang C., Calderon F, Michaelson G., Ping C., Mishra U., Hofmann S..  2016.  Using Mid Infrared Spectroscopy to Predict the Decomposability of Soil Organic Matter Stored in Arctic Tundra Soils. 2016 American Geophysical Union Annual Meeting.
Matamala R., Jastrow J., Fan Z, Liang C., Calderon F, Michaelson G., Ping C., Mishra U..  2017.  Predicting Potential C Mineralization of Tundra Soils Using Spectroscopy Techniques. DOE Environmental System Science (ESS) PI Meeting. April 25-26, 2017, Potomac, MD
Mason J.B., Gibbens, Robert P., Havstad K.  1991.  GIS applications in rangeland research on the Jornada Experimental Range. Annual Meeting, Society for Range Management. :No.P64.
Mascaro G., Vivoni E.  2016.  On the observed hysteresis in field-scale soil moisture variability and its physical controls. Environmental Research Letters. 11(8):084008.
Martinez-Rios J., Monger CH.  2002.  Soil classification of arid lands using Thematic mapper data. Revista Terra. 20:89-100.
Martinez-Meza E., Whitford WG.  1996.  Stemflow, throughfall and channelization of stemflow by roots in three Chihuahuan Desert shrubs. Journal of Arid Environments. 32:271-287.
Martinez-Meza E..  1994.  Stemflow, throughfall, and root water channelization by three arid land shrubs in southern New Mexico. :81.
Martinec J., Rango A., Roberts R.T.  2008.  Snowmelt Runoff Model (SRM) User's Manual. Book. :175pp.
Martinec J., Rango A..  1995.  Seasonal Runoff Forecasts for Hydropower Based on Remote Sensing . Western Snow Conference 1995. :1-11.
Marticorena B, Bergametti G, Gillette D.E, Belnap J.  1997.  Factors controlling threshold friction velocity in semiarid and arid areas of the United States. Journal of Geophysical Research. 102:23277-23287.
Marshall N, Stokes C.J., Webb N, Marshall P, Lankester A.  2014.  Social vulnerability to climate change in primary producers: a typology approach . Agriculture, Ecosystems and Environment. 186:86-93.

Pages