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Foraging behavior and spatial grazing distribution of free-ranging cattle 2014-2018 on the Central Plains Experimental Range
,Data were collected on the Central Plains Experimental Range (CPER) from 2014-2018, near Nunn, Colorado as part of the common experiments in grazinglands for the Long-Term Agroecosystem Research network. LTAR scientists seek to create new knowledge regarding sustainable management of grazinglands. This dataset on cattle foraging behavior and distribution provides new information towards understanding how management practices influence grazing livestock movements in space and time. The common experiment at CPER is called Collaborative Adaptive Rangeland Management (CARM) and is a ten-year ranch-scale (2,600-ha) social-ecological experiment designed to examine how adaptive rotations of a single large cattle herd among paddocks within a heterogeneous landscape during the growing season (collaborative, adaptive rangeland management; CARM) contrasts with continuous, season-long grazing of paddocks by small non-rotational herds (traditional rangeland management; TRM). Differences in movement patterns between the two treatments were examined with data collected from global positioning system tracking collars (Lotek 3300LR GPS) combined with activity sensors. These data were used to determine daily metrics of foraging behavior by steers in both treatments at five-minute intervals and include (1) location, (2) distance moved within 5 minutes, and (3) and grazing activity. These data are from the first half of the CARM experiment to support the publication, "Adaptive, multi-paddock, rotational grazing management alters foraging behavior and spatial grazing distribution of free-ranging cattle.",Resources in this dataset:,,
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Central Grasslands Research Extension Center (North Dakota) patch-burning and grazing management
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,These data are the result of a four-year (2017-2020) study comparing rangeland forage and cattle responses across three grazing management practices in central North Dakota. In each season, cow-calf pairs grazed on n = 4 pastures for each grazing management practice: Patch burned, in which a 40-ac patch of 160-ac pastures were burned with prescribed fire each spring with no internal fences; Continuous, in which neither prescribed fire nor internal fences were used; and Rotational, in which 40-ac pastures were sub-divided into 4 paddocks each with no prescribed fire. The data were primarily managed by Megan Wanchuk in support of her Master's thesis:,Wanchuk, MR. 2022. Patch-Burning Improves Forage Nutritive Value and Livestock Performance over Rotational and Continuous Grazing Strategies (Master's Thesis, North Dakota State University, Fargo, North Dakota).,
Broad-scale analysis of greater sage-grouse population trends in response to grazing in Wyoming, USA (2004-2014), at 3.25 km scale
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The file 'ssm_data_3.25.csv' contains data necessary for analyzing state-space models for male greater sage-grouse (Centrocercus urophasianus) populations in response to grazing level (relative grazing index), timing, and NDVI (Normalized Difference Vegetation Index) in Wyoming, USA. In this case, all covariates were measured within 3.25 km of lek sites.
Broad-scale analysis of greater sage-grouse population trends in response to grazing in Wyoming, USA (2004-2014), at 3.25 km scale
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The file 'ssm_data_3.25.csv' contains data necessary for analyzing state-space models for male greater sage-grouse (Centrocercus urophasianus) populations in response to grazing level (relative grazing index), timing, and NDVI (Normalized Difference Vegetation Index) in Wyoming, USA. In this case, all covariates were measured within 3.25 km of lek sites.
Broad-scale analysis of greater sage-grouse population trends in response to grazing records in Wyoming, USA (2004-2014)
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The file 'ssm_data.csv' contains data necessary for analyzing state-space models for male greater sage-grouse (Centrocercus urophasianus) populations in response to grazing level (relative grazing index), timing, and NDVI (Normalized Difference Vegetation Index) in Wyoming, USA, and then to compare models with 10-fold cross validation scores (Monroe et al. 2017). Literature Cited: Monroe, A. P., C. L. Aldridge, T. J. Assal, K. E. Veblen, D. A. Pyke, and M. L. Casazza. 2017. Patterns in Greater Sage-grouse Population Dynamics Correspond with Public Grazing Records at Broad Scales. Ecological Applications. doi: 10.1002/eap.1512.
Broad-scale analysis of greater sage-grouse population trends in response to grazing records in Wyoming, USA (2004-2014)
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The file 'ssm_data.csv' contains data necessary for analyzing state-space models for male greater sage-grouse (Centrocercus urophasianus) populations in response to grazing level (relative grazing index), timing, and NDVI (Normalized Difference Vegetation Index) in Wyoming, USA, and then to compare models with 10-fold cross validation scores (Monroe et al. 2017). Literature Cited: Monroe, A. P., C. L. Aldridge, T. J. Assal, K. E. Veblen, D. A. Pyke, and M. L. Casazza. 2017. Patterns in Greater Sage-grouse Population Dynamics Correspond with Public Grazing Records at Broad Scales. Ecological Applications. doi: 10.1002/eap.1512.
Data from: Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle?
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,Technologies are now available to continuously monitor livestock foraging behaviours, but it remains unclear whether such measurements can meaningfully inform livestock grazing management decisions. Empirical studies in extensive rangelands are needed to quantify relationships between short-term foraging behaviours (e.g. minutes to days) and longer-term measures of animal performance. The objective of this study was to examine whether four different ways of measuring daily foraging behaviour (grazing-bout duration, grazing time per day, velocity while grazing, and turn angle while grazing) were related to weight gain by free-ranging yearling steers grazing semiarid rangeland. These data include measurements interpreted from yearling steer outfitted with neck collars supporting a solar-powered device that measured GPS locations at 5 minute intervals and used an accelerometer to predict grazing activity at 4 second intervals. Average daily weight gains of steers are included as well as an estimate of standing forage biomass derived from the Harmonized Landsat-Sentinel remote-sensing product. These data support research to advance knowledge regarding the use of on-animal sensors that monitor foraging behaviour, which have the potential to transmit indicators to livestock managers in real time (e.g. daily). This approach can help inform decisions such as when to move animals among paddocks, or when to sell or transition animals from rangeland to confined feeding operations.,,
Evaluating population responses of Greater sage-grouse to variation in public grazing records at broad scales
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In 'Broad-scale analysis of greater sage-grouse population trends in response to grazing records in Wyoming, USA (2004-2014)', we provide data and R code necessary for analyzing state-space models for male greater sage-grouse (Centrocercus urophasianus) populations in response to grazing level, timing, and NDVI in Wyoming, USA, and then to compare models with 10-fold cross validation scores (Monroe et al. 2017). In 'Analysis of Land Health Standard failure among allotments in Wyoming, USA (2001-2009)', we provide data and R code necessary for logistic regression analyzing effects of grazing level and timing on the probability of an allotment failing one or more Land Health Standard (LHS) the previous year (Monroe et al. 2017). Relative predictive ability of models are then compared with a 10-fold cross-validation score. In 'Data to evaluate sensitivity of model results to scale and allotment overlap threshold', we provide data used to evaluate the sensitivity of our results to our choice of scale (6.44 km around lek sites) and the overlap threshold for allotments with grazing data (>75%). Literature Cited: Monroe, A. P., C. L. Aldridge, T. J. Assal, K. E. Veblen, D. A. Pyke, and M. L. Casazza. 2017. Patterns in Greater Sage-grouse Population Dynamics Correspond with Public Grazing Records at Broad Scales. Ecological Applications. doi: 10.1002/eap.1512.
Evaluating population responses of Greater sage-grouse to variation in public grazing records at broad scales
공공데이터포털
In 'Broad-scale analysis of greater sage-grouse population trends in response to grazing records in Wyoming, USA (2004-2014)', we provide data and R code necessary for analyzing state-space models for male greater sage-grouse (Centrocercus urophasianus) populations in response to grazing level, timing, and NDVI in Wyoming, USA, and then to compare models with 10-fold cross validation scores (Monroe et al. 2017). In 'Analysis of Land Health Standard failure among allotments in Wyoming, USA (2001-2009)', we provide data and R code necessary for logistic regression analyzing effects of grazing level and timing on the probability of an allotment failing one or more Land Health Standard (LHS) the previous year (Monroe et al. 2017). Relative predictive ability of models are then compared with a 10-fold cross-validation score. In 'Data to evaluate sensitivity of model results to scale and allotment overlap threshold', we provide data used to evaluate the sensitivity of our results to our choice of scale (6.44 km around lek sites) and the overlap threshold for allotments with grazing data (>75%). Literature Cited: Monroe, A. P., C. L. Aldridge, T. J. Assal, K. E. Veblen, D. A. Pyke, and M. L. Casazza. 2017. Patterns in Greater Sage-grouse Population Dynamics Correspond with Public Grazing Records at Broad Scales. Ecological Applications. doi: 10.1002/eap.1512.
Data from USDA ARS High Plains Grasslands Research Station (East Unit) near Cheyenne, WY: Yearling cattle weight gains managed in light, moderate and heavily stocked pastures (1982-2022)
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,The USDA-Agricultural Research Service High Plains Grasslands Research Station (HPGRS) is located in Cheyenne, Wyoming, USA. In 1982, a long-term stocking rate study on northern mixed-grass prairie was initiated with season-long (early June to October) grazing. Stocking rates defined as light (35% below NRCS recommended rate, 15 yearlings per 80 ha), moderate (NRCS recommended rate, 4 yearlings per 12ha), and heavy (33% above NRCS recommended rate, 4 yearlings per 9 ha). British- and continental-breed yearling cattle were used throughout the study years. When forage supply was limited due to drought, grazing seasons were shortened or cattle were not grazed for that season. Individual raw data on cattle entry and exit weights are available from 1982 to 2022. No grazing occurred in the years 1989, 2000, and 2002 due to drought conditions. Weight gain outliers (± 2 sd of treatment mean) were removed from the dataset.,,
NPP Grassland: Central Plains Experimental Range (SGS), USA, 1939-1990, R1
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This data set records the productivity of a semiarid shortgrass prairie steppe located in the Central Plains Experimental Reserve (CPER)/Pawnee National Grassland in north-central Colorado. There are nine data files (.txt). Four files contain measurements of monthly dynamics of harvested above-ground plant biomass, one file each for untreated, irrigated, fertilized, and irrigated + fertilized plots for the period 1970 to 1975. The fifth file contains annual above-ground NPP estimates for the untreated plot for the period 1970-1974. The sixth file contains long-term ANPP estimated from field harvest measurements made between 1970 and 1990 and by correlation with forage production measurements made between 1939 and 1990. Two additional files provide estimates of above- and below-ground NPP based on peak growing season harvests; one record covers 1970-1972 from the Pawnee site and the other covers 1985-1988 from CPER. The ninth file contains climate data for 1912-1990 from a weather station located at CPER.Revision Notes: This data set has been revised to correct the study site elevation, extend the temporal coverage, and add four data files containing estimates of NPP. Please see the Data Set Revisions section of this document for detailed information.
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