Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany.
Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany.
PLoS One. 2019 Jan 11;14(1):e0210051. doi: 10.1371/journal.pone.0210051. eCollection 2019.
With increasing affluence in many developing countries, the demand for livestock products is rising and the increasing feed requirement contributes to pressure on land resources for food and energy production. However, there is currently a knowledge gap in our ability to assess the extent and intensity of the utilization of land by livestock, which is the single largest land use in the world. We developed a spatial model that combines fine-scale livestock numbers with their associated energy requirements to distribute livestock grazing demand onto a map of energy supply, with the aim of estimating where and to what degree pasture is being utilized. We applied our model to Kazakhstan, which contains large grassland areas that historically have been used for extensive livestock production but for which the current extent, and thus the potential for increasing livestock production, is unknown. We measured the grazing demand of Kazakh livestock in 2015 at 286 Petajoules, which was 25% of the estimated maximum sustainable energy supply that is available to livestock for grazing. The model resulted in a grazed area of 1.22 million km2, or 48% of the area theoretically available for grazing in Kazakhstan, with most utilized land grazed at low intensities (average off-take rate was 13% of total biomass energy production). Under a conservative scenario, our estimations showed a production potential of 0.13 million tons of beef additional to 2015 production (31% increase), and much more with utilization of distant pastures. This model is an important step forward in evaluating pasture use and available land resources, and can be adapted at any spatial scale for any region in the world.
随着许多发展中国家的日益富裕,对牲畜产品的需求不断增加,不断增长的饲料需求给粮食和能源生产的土地资源带来压力。然而,目前我们在评估牲畜对土地的利用程度和强度方面存在知识差距,牲畜是世界上最大的单一土地利用方式。我们开发了一种空间模型,该模型将精细的牲畜数量与其相关的能源需求结合起来,将牲畜放牧需求分配到能源供应地图上,目的是估算牧场的利用地点和程度。我们将我们的模型应用于哈萨克斯坦,该国拥有大面积的草原,历史上一直用于大规模的牲畜生产,但目前的范围,因此提高牲畜生产的潜力是未知的。我们在 2015 年测量了哈萨克牲畜的放牧需求为 286 拍焦耳,这占牲畜放牧可用的最大可持续能源供应的 25%。该模型产生了 122 万平方公里的放牧区,占哈萨克斯坦理论上可用于放牧的面积的 48%,大部分利用的土地以低强度放牧(平均取食量为总生物量能源产量的 13%)。在保守的情景下,我们的估计显示,除了 2015 年的产量外,还可以额外增加 0.13 万吨牛肉(增加 31%),如果利用遥远的牧场,则可以增加更多。该模型是评估牧场利用和现有土地资源的重要一步,可以在世界任何地区的任何空间尺度上进行调整。