Spatiotemporal dynamics of cattle behavior and resource selection patterns on East African rangelands: evidence from GPS-tracking

Liao, Chuan; Clark, Patrick E.; Shibia, M.; DeGloria, Stephen D.

doi:10.1080/13658816.2018.1424856

Cited by 27 publications

(21 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Regardless of the species identity, differences in grazing personalities are observed at the individual (8,21,25,26) and collective level; that is in groups, herds, and populations of animals (27,28). Consequently, we argue that grazing personalities are the result of evolutionary processes that filtered alleles and established allele frequencies of key genes related to behavioral patterns, tactics, strategies, and decision-making in the grazing process, hereafter referred to as "grazing genes."…”

Section: Introductionmentioning

confidence: 94%

“…On the one hand, quantitative and continuous traits are commonly used to describe grazing behaviors along continuum gradients (28,32). On the other, grazing personalities as categorical attributes of consistent behaviors may emerge because of the existence of trade-offs among correlated traits.…”

Section: Grazing Traits Of Individualsmentioning

confidence: 99%

“…Another way applicable to certain scenarios and for certain traits is by representing collective grazing behaviors with the behavior of one or a few animals of the herd. For example, Liao et al (28) studied the grazing behavior of 20 herds of beef cattle in five different study sites of Southern Ethiopia. These authors derived collective behavioral traits such as daily allocation of time to travel, grazing, and resting by averaging the behavior monitored in three cows of each herd with GPS collars.…”

Section: Grazing Traits Of Herdsmentioning

confidence: 99%

See 2 more Smart Citations

On the Search for Grazing Personalities: From Individual to Collective Behaviors

et al. 2020

View full text Add to dashboard Cite

While grazing lands can offer a diverse range of forages, individuals within herds prefer to graze some habitats and not others. They can have consistent differences in grazing patterns and occupy specific spatial domains, whilst developing tactics and strategies for foraging that are specific to their grazing personalities. In this review, we explore the development of our understanding of grazing personalities, as we move away from the search for an "optimal animal" toward designing behavior-customized herds with an arrangement of individual grazing personalities that enhance ecosystem services and productivity. We present a "grazing personality model" that accounts for the personality of individual animals and for collective behaviors of herds. We argue that grazing personalities of grazing ruminants and other large herbivores are in part genetically determined, and that they can act at the individual and collective level. The social and biophysical environments as well as the emotional state of animals regulate the expression of "grazing genes" that are observed phenotypically as distinct grazing personalities. The reproductive and sexual successes of individuals and herds filter for allele variants of grazing genes and in turn determines their relative frequency. While the selection of one grazing personality may be adequate for homogeneous pastoral systems, the design of herds with a range of grazing personalities that are matched to the habitat diversity may be a better approach to improving the distribution of grazing animals, enhancing ecosystem services, and maximizing productivity.

show abstract

Section: Introductionmentioning

confidence: 94%

Section: Grazing Traits Of Individualsmentioning

confidence: 99%

Section: Grazing Traits Of Herdsmentioning

confidence: 99%

See 1 more Smart Citation

On the Search for Grazing Personalities: From Individual to Collective Behaviors

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Advances in GPS-tracking technology provide means to explore herding strategies and livestock grazing behaviour at high spatial and temporal resolutions (Coppolillo 2000;Butt 2010;Liao et al 2018). Integrating empirical mapping data with knowledge of social, historical, and ecological contexts presents a more complex and variable picture of pastoralist livelihoods, one that brings into question models of past land use constructed using immutable typologies (e.g., mobile, semi-mobile, sedentary, or pastoral vs. agro-pastoral) and deterministic parameters like resource locations (Liao et al 2018). Rather, production systems are shown to be influenced by dynamic relationships between diverse ecological and socio-cultural factors that vary through time.…”

Section: Overgrazing and The Historical Recordmentioning

confidence: 99%

Historical Ecologies of Pastoralist Overgrazing in Kenya: Long-Term Perspectives on Cause and Effect

et al. 2019

View full text Add to dashboard Cite

The spectre of 'overgrazing' looms large in historical and political narratives of ecological degradation in savannah ecosystems. While pastoral exploitation is a conspicuous driver of landscape variability and modification, assumptions that such change is inevitable or necessarily negative deserve to be continuously evaluated and challenged. With reference to three case studies from Kenyathe Laikipia Plateau, the Lake Baringo basin, and the Amboseli ecosystemwe argue that the impacts of pastoralism are contingent on the diachronic interactions of locally specific environmental, political, and cultural conditions. The impacts of the compression of rangelands and restrictions on herd mobility driven by misguided conservation and economic policies are emphasised over outdated notions of pastoralist inefficiency. We review the application of 'overgrazing' in interpretations of the archaeological record and assess its relevance for how we interpret past socio-environmental dynamics. Any discussion of overgrazing, or any form of human-environment interaction, must acknowledge spatio-temporal context and account for historical variability in landscape ontogenies.

show abstract

“…In their analysis kernel density estimation performed worse than both TGDE and characteristic hull polygons and TGDE was found to be comparable to characteristic hull polygons for estimating home range areas, but more accurate at estimating core areas. Liao et al (2018) present a study of the movement behaviour of free-ranging cattle tracked by GPS collars in southern Ethiopia. Satellite and environmental data are combined with the high-resolution GPS tracking data along with in situ videography used to ground truth different behaviours.…”

Section: Summaries Of the Articles Featured In This Special Issuementioning

confidence: 99%

Moving ahead with computational movement analysis

Long

Weibel

Dodge

et al. 2018

International Journal of Geographical Information Science

View full text Add to dashboard Cite

show abstract

Spatiotemporal dynamics of cattle behavior and resource selection patterns on East African rangelands: evidence from GPS-tracking

Cited by 27 publications

References 44 publications

On the Search for Grazing Personalities: From Individual to Collective Behaviors

On the Search for Grazing Personalities: From Individual to Collective Behaviors

Historical Ecologies of Pastoralist Overgrazing in Kenya: Long-Term Perspectives on Cause and Effect

Moving ahead with computational movement analysis

Contact Info

Product

Resources

About