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人口与土地覆盖之间的生态反馈如何影响可持续性。

How ecological feedbacks between human population and land cover influence sustainability.

机构信息

Centre for Biodiversity, Theory, and Modelling, Theoretical and Experimental Ecology Station, CNRS, Moulis, France.

出版信息

PLoS Comput Biol. 2018 Aug 17;14(8):e1006389. doi: 10.1371/journal.pcbi.1006389. eCollection 2018 Aug.

Abstract

It is estimated that the Earth's biocapacity is unable to meet current demands, which begs the question: is a sustainable future possible for both humans and the environment? The UN projects a human population of approximately 11 billion by the end of the 21st century; requiring additional agricultural land, greater demands for natural resources, and technological advancements. We model human population over the next century, emphasizing feedbacks between natural and agricultural resource availability and human demography. We argue that an intensive agriculture approach to feeding the growing population is ill-conceived, without considering biodiversity and ecosystem services (e.g., nutrient cycling, pollination, water purification, pest control). The productivity of agricultural land and human population dynamics are dependent on the area of natural land-generally, tipping at 5 billion ha of natural land (approximately 40% of the Earth's terrestrial area). Furthermore, our model shows that an imprudent proactive approach (i.e., focusing on agriculture and ignoring ecosystem services) limits the success of reactive measures (i.e., restoration) in the future, while the inability to react to changes and recover natural systems leads to human population decline.

摘要

据估计,地球的生物承载力无法满足当前的需求,这就提出了一个问题:人类和环境是否有可能拥有可持续的未来?联合国预计,到 21 世纪末,全球人口将达到约 110 亿;这将需要额外的农业用地、对自然资源的更大需求和技术进步。我们对未来一个世纪的人口进行建模,强调自然资源和农业资源的可用性以及人类人口动态之间的反馈。我们认为,在不考虑生物多样性和生态系统服务(例如,养分循环、授粉、水净化、病虫害防治)的情况下,采用集约化农业方法来养活不断增长的人口是不明智的。农业土地的生产力和人口动态取决于自然土地的面积——一般来说,在 50 亿公顷的自然土地(约占地球陆地面积的 40%)时达到 tipping point。此外,我们的模型表明,鲁莽的主动方法(即专注于农业而忽略生态系统服务)限制了未来被动措施(即恢复)的成功,而无法对变化做出反应和恢复自然系统则会导致人口下降。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3d5/6114924/07eada39d89e/pcbi.1006389.g001.jpg

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