Estimating influence of stocking regimes on livestock grazing distributions

Rinella, Matthew J.; Vávra, Martin; Naylor, Bridgett J.; Boyd, Jennifer M.

doi:10.1016/j.ecolmodel.2010.10.004

Cited by 11 publications

(7 citation statements)

References 56 publications

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“…Intuitively, we can assume that the larger the grazing area the more important the need to apply some management strategy to improve the distribution of cattle in the area. This could be the case in the large mountainous pastures (~2400 ha), where Rinella et al [ 24 ] tested the strategy of shifting the stocking location each year (between south and east) and found that certain regions were grazed much more heavily than others (clustered grazing) though the strategy greatly decreased the grazing of the overused regions.…”

Section: Effect Of Stocking Rate and Grazing Methods On Site Use Preferencementioning

confidence: 99%

“…Hence, foraging and short-distance travelling patterns by female beef cattle are not guided by any specific individual, but tend to be affected by a graded type of leadership; that is, the more dominant a cow is, the stronger the effect it may have on the movements of the herd [ 104 ]. This may have implications on the subgroup’s movements and use of resources, since cattle tend to establish home ranges (preferred portions of large pastures), proving quite persistent, even under adverse conditions [ 24 ]. It is clear that more research is needed to understand the effects of social interactions on cattle grazing patterns [ 88 ] and GPS is a valuable tool for this purpose.…”

Section: Effect Of Animal Factors and Social Interactions On Site Use Preferencementioning

confidence: 99%

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Factors Affecting Site Use Preference of Grazing Cattle Studied from 2000 to 2020 through GPS Tracking: A Review

Rivero

Grau-Campanario

Mullan

et al. 2021

Sensors

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Understanding the behaviour of grazing animals at pasture is crucial in order to develop management strategies that will increase the potential productivity of grazing systems and simultaneously decrease the negative impact on the environment. The objective of this review was to summarize and analyse the scientific literature that has addressed the site use preference of grazing cattle using global positioning systems (GPS) collars in the past 21 years (2000–2020) to aid the development of more sustainable grazing livestock systems. The 84 studies identified were undertaken in several regions of the world, in diverse production systems, under different climate conditions and with varied methodologies and animal types. This work presents the information in categories according to the main findings reviewed, covering management, external and animal factors driving animal movement patterns. The results showed that some variables, such as stocking rate, water and shade location, weather conditions and pasture (terrain and vegetation) characteristics, have a significant impact on the behaviour of grazing cattle. Other types of bio-loggers can be deployed in grazing ruminants to gain insights into their metabolism and its relationship with the landscape they utilise. Changing management practices based on these findings could improve the use of grasslands towards more sustainable and productive livestock systems.

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Section: Effect Of Stocking Rate and Grazing Methods On Site Use Preferencementioning

confidence: 99%

Section: Effect Of Animal Factors and Social Interactions On Site Use Preferencementioning

confidence: 99%

Factors Affecting Site Use Preference of Grazing Cattle Studied from 2000 to 2020 through GPS Tracking: A Review

Rivero

Grau-Campanario

Mullan

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The majority of investigations which attempt to map and model livestock movement, follow daily grazing trajectories of individual animals moving between patches (Putfarken et al, 2008, Rinella et al, 2011, Senft et al, 1985. In semi-arid and arid systems, in which animals are both herded and restricted to water sources or other 'central places', the herd is the unit of interest (Coppolillo, 2001, Coppolillo, 2000, Turner et al, 2005.…”

Section: Understanding Movement: Scale Considerations and Theoretical...mentioning

confidence: 99%

The changing role of bio-physical and socio-economic drivers in determining livestock distributions: A historical perspective from Kazakhstan

Robinson

Kerven

Behnke

et al. 2016

Agricultural Systems

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“…Several approaches, including linear regression (Leta and Mesele, 2014a), geographically weighted regression (GWR) (Velado-Alonso, et al, 2020), and Bayesian modeling (Rinella, et al, 2011), are developed for spatial simulation in agricultural studies. However, such data-driven methods cannot well address spatial correlations in agricultural systems (Homburger, et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Climate Change is Likely to Alter Sheep and Goat Distributions in Mainland China

Zhang

Wang

Zhao

et al. 2021

Front. Environ. Sci.

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Climate change endangers food security worldwide, especially in developing countries. Livestock husbandry is one of the essential livelihoods for farmers and herders in remote arid and semiarid regions. However, it remains unclear how climate change will impact livestock husbandry in the future. This study collected sheep and goat distributions from the “gridded livestock of the world” (GLW) dataset for 1943 counties in Mainland China. Current climate data include precipitation and temperature from the National Meteorological Information Center (NMIC). We disentangled the effects of precipitation and temperature on current distributions of sheep and goats with the Bayesian Hierarchical Model by Integrated Nest Laplace Approximation (INLA). Further, we forecasted the potential sheep and goat distributions in 2030 and 2050 under Coupled Model Intercomparison Project (CMIP) scenarios. Our result showed that sheep distribution is significantly correlated with elevation, slope, market density, and highway distance, with absolute correlation coefficients ranging from 0.019 to 0.411. In addition to elevation, slope, and market density, goat distribution is also affected by gain production, with a correlation coefficient of 0.055. There is a dynamic correlation of temperature and precipitation with sheep and goat density. The sheep density distribution is predicted to increase in Northwest China, while the goat density distribution might increase in farming areas under climate change. Finally, this study suggests for the sheep and goat breeding industry to respond to climate change.

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Estimating influence of stocking regimes on livestock grazing distributions

Cited by 11 publications

References 56 publications

Factors Affecting Site Use Preference of Grazing Cattle Studied from 2000 to 2020 through GPS Tracking: A Review

Factors Affecting Site Use Preference of Grazing Cattle Studied from 2000 to 2020 through GPS Tracking: A Review

The changing role of bio-physical and socio-economic drivers in determining livestock distributions: A historical perspective from Kazakhstan

Climate Change is Likely to Alter Sheep and Goat Distributions in Mainland China

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