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arXiv 2101.07049q-bio.PEcond-mat.stat-mechnlin.PS
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将理论与实验相结合,将旱地植被格局的当地机制与生态系统一级的后果联系起来

Integrating theory and experiments to link local mechanisms and ecosystem-level consequences of vegetation patterns in drylands

Ricardo Martinez-Garcia, Ciro Cabal, Justin M. Calabrese, Emilio Hernández-García, Corina E. Tarnita, Cristóbal López, Juan A. Bonachela

摘要:

自组织的植被空间格局在旱地很常见,由于格局形状与水的供应相关,因此被认为是生态系统健康的重要指标。然而,模式出现的机制仍不清楚。一些理论假设,模式可能会导致从水介导的规模依赖反馈(SDF),有利于植物生长的相互作用占主导地位,在短距离和生长抑制的相互作用占主导地位,在长距离。然而,我们所知甚少的焦点植物的存在如何影响其邻居的适应性作为个体间距离的函数,这预计是高度依赖于生态系统。这种缺乏经验知识和系统依赖性的挑战SDF作为一个统一的理论植被格局形成的相关性。假设植物的相互作用总是抑制性的,只有它们的强度是尺度依赖的,替代理论也恢复了自然界中观察到的典型植被模式。重要的是,虽然这些替代假设导致视觉上难以区分的模式,但它们预测了对比鲜明的荒漠化动态,这对植被模式作为生态系统状态指标的潜在用途提出了质疑。为了帮助解决这个问题,我们首先回顾现有的理论植被自组织和相互矛盾的预测荒漠化动态。第二,我们讨论了潜在的经验测试,通过操纵实验,以确定模式形成机制,并将其与具体的荒漠化动态。对模型、它们打算捕捉的机制以及在实地对其进行测试的实验的全面看法,将有助于更好地理解模式是如何出现的,并改善对它们形成的生态系统命运的预测。

英文摘要:

Self-organized spatial patterns of vegetation are frequent in drylands and, because pattern shape correlates with water availability, they have been suggested as important indicators of ecosystem health. However, the mechanisms underlying pattern emergence remain unclear. Some theories hypothesize that patterns could result from a water-mediated scale-dependent feedback (SDF) whereby interactions favoring plant growth dominate at short distances and growth-inhibitory interactions dominate in the long range. However, we know little about how the presence of a focal plant affects the fitness of its neighbors as a function of the inter-individual distance, which is expected to be highly ecosystem-dependent. This lack of empirical knowledge and system dependency challenge the relevance of SDF as a unifying theory for vegetation pattern formation. Assuming that plant interactions are always inhibitory and only their intensity is scale-dependent, alternative theories also recover the typical vegetation patterns observed in nature. Importantly, although these alternative hypotheses lead to visually indistinguishable patterns, they predict contrasting desertification dynamics, which questions the potential use of vegetation patterns as ecosystem-state indicators. To help resolve this issue, we first review existing theories for vegetation self-organization and their conflicting predictions about desertification dynamics. Second, we discuss potential empirical tests via manipulative experiments to identify pattern-forming mechanisms and link them to specific desertification dynamics. A comprehensive view of models, the mechanisms they intend to capture, and experiments to test them in the field will help to better understand both how patterns emerge and improve predictions on the fate of the ecosystems where they form.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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