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Understanding and Managing Social-Ecological Tipping Points in Primary Industries

机译:理解和管理主要产业中的社会生态指数

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摘要

Global environmental change and humanity's growing demands for resources have generated concerns regarding how much pressure Earth systems can absorb without drastic, potentially irreversible consequences. In natural resource production systems, tipping points can generate immediate threats to human well-being. However, empirically exploiting conceptual tipping point models, and applying that learning to management has proven challenging. We argue that primary industries are characterized by a set of social and ecological features that predisposes them to tipping points and motivates studying them as a special class of social-ecological systems. Several primary industry features and feedback loops can explain why some resource systems face a high risk of tipping points, how social responses can affect the detection of early warnings, and how tipping points may cascade among primary industry subsystems. New understanding of resource resilience could be gained by complementing current research with a primary industry perspective. We discuss challenges and solutions for this research agenda.
机译:全球环境变化和人类对资源的不断增长的需求产生了关于压力地球系统在没有激烈的,可能是不可逆转的后果的情况下吸收的担忧。在自然资源生产系统中,击中点可以产生对人类福祉的立即威胁。然而,经验利用概念性的举报点模型,并申请学习管理已经证明有挑战性。我们认为,主要产业的特点是一系列社会和生态特征,使他们倾向于提取积分并激励他们作为一类特殊的社会生态系统。几个主要行业特征和反馈循环可以解释为什么一些资源系统面临着划分点的高风险,社会反应如何影响早期警告的检测,以及如何在主要行业子系统中级联的划分点。通过使用主要行业视角补充当前研究,可以获得对资源弹性的新了解。我们讨论了这项研究议程的挑战和解决方案。

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