2018
DOI: 10.1111/grs.12209
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Grazing intensity determines pasture spatial heterogeneity and productivity in an integrated crop‐livestock system

Abstract: Spatial heterogeneity is a property of natural ecosystems. Integrated crop‐livestock systems (ICLS) aim to mimic natural ecosystem functions as pillars of sustainable intensification, and grazing is a process that potentially affects spatial heterogeneity. Then, we investigated the effect of different grazing intensities, defined according to a range of sward heights (intensive grazing, 10 cm; moderate grazing, 20 cm; moderate‐light grazing, 30 cm; light grazing, 40 cm; and ungrazed), on the spatial heterogene… Show more

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Cited by 27 publications
(14 citation statements)
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“…We hypothesized that the reduced net primary production of winter pasture under intensive grazing (Nunes et al, 2018) would result in the soil surface being more markedly exposed to wind and solar radiation (Tang et al, 2019), as water and temperature stresses are known to have an adverse impact on the activity of methanotrophic communities (Liu et al, 2007). In the summer season of 2016, when soil CH 4 fluxes differed more markedly among grazing intensities, WFPS was largely below 50%, which also possibly increased CH 4 and oxygen (O 2 ) diffusivity in soil, thus leading to increased rates of CH 4 uptake by methanotrophic bacteria (Saggar, Tate, Giltrap, & Singh, 2008).…”
Section: Discussionmentioning
confidence: 99%
“…We hypothesized that the reduced net primary production of winter pasture under intensive grazing (Nunes et al, 2018) would result in the soil surface being more markedly exposed to wind and solar radiation (Tang et al, 2019), as water and temperature stresses are known to have an adverse impact on the activity of methanotrophic communities (Liu et al, 2007). In the summer season of 2016, when soil CH 4 fluxes differed more markedly among grazing intensities, WFPS was largely below 50%, which also possibly increased CH 4 and oxygen (O 2 ) diffusivity in soil, thus leading to increased rates of CH 4 uptake by methanotrophic bacteria (Saggar, Tate, Giltrap, & Singh, 2008).…”
Section: Discussionmentioning
confidence: 99%
“…The addition of livestock grazing cover crops in the period between the cultivation of two main cash crops, which is the case of our study, creates heterogeneity. This heterogeneity results from the accumulation of excretions (dung and urine) and the act of grazing itself (defoliation) or associated effects such as the act of trampling and can be noticed in the patterns of vegetation [57] and soil parameters [22]. Vegetation heterogeneity in annual winter pastures has been shown to be related to grazing intensity with more pronounced spatial patterns under light than heavy grazing intensity [57].…”
Section: Implications For Integrated Crop-livestock Systemsmentioning
confidence: 99%
“…This heterogeneity results from the accumulation of excretions (dung and urine) and the act of grazing itself (defoliation) or associated effects such as the act of trampling and can be noticed in the patterns of vegetation [57] and soil parameters [22]. Vegetation heterogeneity in annual winter pastures has been shown to be related to grazing intensity with more pronounced spatial patterns under light than heavy grazing intensity [57]. This was attributed to overgrazing, which created homogeneous, short swards with frequent bare soil sites as a result of intense cattle locomotion while foraging for food.…”
Section: Implications For Integrated Crop-livestock Systemsmentioning
confidence: 99%
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“…Livestock distribution has fractal properties and is in part determined by the heterogeneity of resources such as forage, water, and shade [7,8]. In addition to the inherent heterogeneity, grazing disturbance (as well trampling and excreta deposition) is an important source of variability in the vegetation [9,10] because herbivores' selectivity generates a mosaic of tall and short patches that in turn affect future grazing. Sward growth rate is nonlinear, and therefore pasture production is not fully determined by average sward height at paddock scale but also depends on the spatial distribution of sward height [11,12] ( Figure A1).…”
Section: Introductionmentioning
confidence: 99%