Land use for animal production in global change studies: Defining and characterizing a framework

Phelps, Leanne N.; Kaplan, Jed O.

doi:10.1111/gcb.13732

Cited by 71 publications

(54 citation statements)

References 112 publications

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“…A balanced diet tends to decrease land use intensity and alleviate pressure on the sustainability of the environment. These tendencies are consistent with those of some previous studies [12,52], even if our methods and materials are different (Table 3). Two scenarios based on the global adoption of the current diets of India and the USA.…”

Section: Comparison With Previous Studiessupporting

confidence: 93%

“…Diet in China has been the principal cause for agricultural land use change over the past 50 years [4]. Inappropriate diets can not only lead to chronic non-communicable diseases [5][6][7][8][9][10] but can increase environmental burdens by emitting more greenhouse gases, consuming more water, and occupying more natural capital [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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A Scenario-Based Simulation of Land System Changes on Dietary Changes: A Case Study in China

et al. 2019

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The dietary change of Chinese residents is driven by increasing incomes and urbanization, which will bring about non-negligible changes in the food production of the land system. To explore how dietary changes might influence future land systems and the environment, this research hypothesizes two potential dietary change scenarios in the period 2010–2030, based on the current trends and Dietary Guidelines for Chinese Residents (DGCR), and applies the CLUMondo model to simulate the spatiotemporal patterns of land systems and estimates a lifecycle’s environmental impacts on dietary change. As shown in the results, dietary changes would obviously alter the land cover, agricultural intensity, and livestock density of land systems, and the changes in land use intensity are noteworthy. If the current trend of dietary change is unchecked, the intensification and expansion of agriculture and animal husbandry would be widely distributed in North China and Northwest China, where the intensity of cropland was low in the past and the ecosystem was relatively fragile. Moreover, the increasing demands for food lead to sharp increases in the carbon footprint, water footprint, and ecological footprint from food production. In contrast, the balanced diet recommended by DGCR could offer considerable environmental benefits. This diet is conducive to cutting down land use intensity, helping natural systems avoid intensification, and the expansion of agriculture and animal husbandry, which lower footprints from food production and have helped to implement the policy of returning croplands to grassland and forests in China. Therefore, popularizing balanced diets could be a win–win for human health and environmental sustainability.

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Section: Comparison With Previous Studiessupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

A Scenario-Based Simulation of Land System Changes on Dietary Changes: A Case Study in China

et al. 2019

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“…The calculations for land required for livestock pasturage are the most complex due to the diverse nature of livestock husbandry and livestock management practices [41]. This quantified area is composed of pasture land for traction and transport animals as well as land necessary to support animals based on dietary consumption and secondary products.…”

Section: Livestock Pasturagementioning

confidence: 99%

“…As the animals identified in the archaeological and historical record vary throughout the ancient world, in this article, the major domesticated animals (sheep, goat, pig and cattle) will be discussed to outline how pasturage territory is calculated. The land designated for pasturage is best illustrated based on species, as shown in Figure 2, with each animal having a different impact on the landscape, i.e., grazers vs. browsers [41]; however, if desired for a given culture/period/region, pasturage can be calculated and illustrated collectively.…”

Section: Livestock Pasturagementioning

confidence: 99%

Quantifying Land Use in Past Societies from Cultural Practice and Archaeological Data

Hughes

Weiberg

Bonnier

et al. 2018

Land

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Abstract:Quantitative reconstructions of past land use facilitate comparisons between livelihoods in space and time. However, comparison between different types of land use strategies is challenging as land use has a multitude of expressions and intensities. The quantitative method presented here facilitates the exploration and synthetization of uneven archaeological and textual evidence from past societies. The approach quantifies the area required for habitation, agriculture, arboriculture, pasturage, and fuel supply, based on a combination of archaeological, historical, ethnographic and modern evidence from the relevant geographical region. It is designed to stimulate discussion and can be used to test a wide range of hypotheses regarding local and regional economies, ancient trade and redistribution, and the resilience and/or vulnerability of past societies to environmental change. The method also helps identify where our gaps in knowledge are in understanding past human-environment interaction, the ecological footprint of past cultures and their influence on the landscape in a transparent and quantitative manner. The present article focuses especially on the impact of dietary estimates and crop yield estimates, two main elements in calculating land use in past societies due to their uncertainty as well as their significant impact on calculations. By employing archaeological data, including botanical, zoological and isotopic evidence, alongside available textual sources, this method seeks to improve land use and land cover change models by increasing their representativeness and accuracy.

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“…A further problem is that information on land-use change at national scale typically comes from multiple disparate sources. These sources are often inconsistent with each other, using different land-use classifications and definitions (Phelps and Kaplan, 2017), arising from different thematic areas, and focusing on different spatial and temporal domains, with different resolutions (Fisher et al, 2017). For example, land-use data in the UK are available from the agricultural census and surveys, the national forestry sector, the national mapping survey, as well as earth observation products such as Corine, MODIS and the CEH Land Cover Maps.…”

Section: P Levy Et Al: Estimation Of Gross Land-use Changementioning

confidence: 99%

Estimation of gross land-use change and its uncertainty using a Bayesian data assimilation approach

et al. 2018

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Abstract. We present a method for estimating land-use change using a Bayesian data assimilation approach. The approach provides a general framework for combining multiple disparate data sources with a simple model. This allows us to constrain estimates of gross land-use change with reliable national-scale census data, whilst retaining the detailed information available from several other sources. Eight different data sources, with three different data structures, were combined in our posterior estimate of land use and land-use change, and other data sources could easily be added in future. The tendency for observations to underestimate gross land-use change is accounted for by allowing for a skewed distribution in the likelihood function. The data structure produced has high temporal and spatial resolution, and is appropriate for dynamic process-based modelling. Uncertainty is propagated appropriately into the output, so we have a full posterior distribution of output and parameters. The data are available in the widely used netCDF file format from http://eidc.ceh.ac.uk/.

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Land use for animal production in global change studies: Defining and characterizing a framework

Cited by 71 publications

References 112 publications

A Scenario-Based Simulation of Land System Changes on Dietary Changes: A Case Study in China

A Scenario-Based Simulation of Land System Changes on Dietary Changes: A Case Study in China

Quantifying Land Use in Past Societies from Cultural Practice and Archaeological Data

Estimation of gross land-use change and its uncertainty using a Bayesian data assimilation approach

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