Suppr超能文献

建立植物和牲畜更新动态的相互作用模型有助于厘清蒙古游牧系统中的均衡和非均衡方面。

Modelling interacting plant and livestock renewal dynamics helps disentangle equilibrium and nonequilibrium aspects in a Mongolian pastoral system.

机构信息

Association pour le cheval de Przewalski: TAKH, Station Biologique de la Tour du Valat, Le Sambuc, 13200 Arles, France; ABIES/AgroParisTech, 19 avenue du Maine, 75015 Paris, France.

AgroParisTech/INRA, UMR 1048 SADAPT, 16 rue Claude Bernard, 75005 Paris, France.

出版信息

Sci Total Environ. 2018 Jun 1;625:1390-1404. doi: 10.1016/j.scitotenv.2017.12.215. Epub 2018 Jan 12.

Abstract

The interplay of livestock density dependence drivers and climate hazards is thought to cause pasture deterioration and poverty in Mongolian pastoral systems. We assessed their relative weights in a system of the Gobi exposed to high rainfall variability and harsh winters, which suggests that climate is the main system's driver. In this aim we modelled how interacting plant and livestock renewal dynamics impact herder performances, under the influence of climate. Plant dynamics was studied through an underground biomass sub-model because local pastures are dominated by perennial species. This approach enabled us studying pastoral issues in a holistic way, by integrating plant underground organs, livestock populations, herder income, and climate drivers. Models described that current grazing practices can significantly reduce underground biomass (-30% after 20years), but not entirely deplete it. They also showed that competition between herders could trap the smallest ones in poverty, by preventing the growth of their herds. This competition operates through density dependent factors affecting livestock productivity and vulnerability to climate shocks. This competition effect is all the more important since small herders could grow their herd and escape poverty if they were alone in the system. This result shows that density dependent factors could significantly impact herder performances and suggests that forage resource allocation is a driver as powerful as climate, even in the local harsh bioclimatic configuration of the Mongolian Gobi.

摘要

家畜密度依赖驱动因素和气候灾害的相互作用被认为是导致蒙古草原系统牧场退化和贫困的原因。我们评估了它们在一个暴露于高降雨变率和恶劣冬季的戈壁系统中的相对权重,这表明气候是主要的系统驱动因素。为此,我们在考虑气候影响的情况下,通过模型研究了植物和家畜更新动态的相互作用如何影响牧民的表现。植物动态通过地下生物量子模型进行研究,因为当地牧场主要由多年生物种主导。这种方法使我们能够通过整合植物地下器官、家畜种群、牧民收入和气候驱动因素,以整体的方式研究草原问题。模型表明,目前的放牧实践可以显著减少地下生物量(20 年后减少 30%),但不会完全耗尽它。它们还表明,牧民之间的竞争可能通过影响家畜生产力和对气候冲击的脆弱性来使最小的牧民陷入贫困。这种竞争是通过密度依赖因素起作用的,这些因素影响家畜的生产力和对气候冲击的脆弱性。由于如果小牧民独自在系统中,他们可以扩大他们的羊群并摆脱贫困,因此这种竞争效应更加重要。这一结果表明,密度依赖因素可能会对牧民的表现产生重大影响,并表明饲料资源分配是一种与气候一样强大的驱动因素,即使在蒙古戈壁恶劣的生物气候配置中也是如此。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验