Trophic-dynamic considerations in relating species diversity to ecosystem resilience.

K H Johnson
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Abstract

Complexity in the networks of interactions among and between the living and abiotic components forming ecosystems confounds the ability of ecologists to predict the economic consequences of perturbations such as species deletions in nature. Such uncertainty hampers prudent decision making about where and when to invest most intensively in species conservation programmes. Demystifying ecosystem responses to biodiversity alterations may be best achieved through the study of the interactions allowing biotic communities to compensate internally for population changes in terms of contributing to ecosystem function, or their intrinsic functional redundancy. Because individual organisms are the biologically discrete working components of ecosystems and because environmental changes are perceived at the scale of the individual, a mechanistic understanding of functional redundancy will hinge upon understanding how individuals' behaviours influence population dynamics in the complex community setting. Here, I use analytical and graphical modelling to construct a conceptual framework for predicting the conditions under which varying degrees of interspecific functional redundancy can be found in dynamic ecosystems. The framework is founded on principles related to food web successional theory, which provides some evolutionary insights for mechanistically linking functional roles of discrete, interacting organisms with the dynamics of ecosystems because energy is the currency both for ecological fitness and for food web commerce. Net productivity is considered the most contextually relevant ecosystem process variable because of its socioeconomic significance and because it ultimately subsumes all biological processes and interactions. Redundancy relative to productivity is suggested to manifest most directly as compensatory niche shifts among adaptive foragers in exploitation ecosystems, facilitating coexistence and enhancing ecosystem recovery after disturbances which alter species' relative abundances, such as extinctions. The framework further explicates how resource scarcity and environmental stochasticity may constitute 'ecosystem legacies' influencing the emergence of redundancy by shaping the background conditions for foraging behaviour evolution and, consequently, the prevalence of compensatory interactions. Because it generates experimentally testable predictions for a priori hypothesis testing about when and where varying degrees of functional redundancy are likely to be found in food webs, the framework may be useful for advancing toward the reliable knowledge of biodiversity and ecosystem function relations necessary for prudent prioritization of conservation programmes. The theory presented here introduces explanation of how increasing diversity can have a negative influence on ecosystem sustainability by altering the environment for biotic interactions and thereby changing functional compensability among biota--under particular conditions.

将物种多样性与生态系统恢复力联系起来的营养动力学考虑。
形成生态系统的生物和非生物成分之间相互作用网络的复杂性,使生态学家无法预测扰动(如自然界物种缺失)的经济后果。这种不确定性阻碍了在何时何地对物种保护计划进行最密集投资的审慎决策。揭开生态系统对生物多样性变化的反应的神秘面纱,最好是通过研究允许生物群落在促进生态系统功能或其内在功能冗余方面对种群变化进行内部补偿的相互作用来实现。由于个体生物是生态系统中生物学上离散的工作组成部分,并且由于环境变化是在个体尺度上感知的,因此对功能冗余的机制理解将取决于对复杂群落环境中个体行为如何影响种群动态的理解。在这里,我使用分析和图形建模来构建一个概念框架,用于预测在动态生态系统中可以发现不同程度的种间功能冗余的条件。该框架建立在与食物网演替理论相关的原则之上,该理论为离散的、相互作用的有机体与生态系统动态的机制联系提供了一些进化见解,因为能量既是生态适应性的货币,也是食物网商业的货币。净生产力被认为是与环境最相关的生态系统过程变量,因为它具有社会经济意义,并最终包含了所有生物过程和相互作用。与生产力相关的冗余最直接表现为开发生态系统中适应性觅食者之间的补偿性生态位转移,促进共存,并在物种相对丰度(如灭绝)受到干扰后加强生态系统的恢复。该框架进一步解释了资源稀缺性和环境随机性如何构成“生态系统遗产”,通过塑造觅食行为进化的背景条件,从而影响冗余的出现,从而影响补偿性相互作用的盛行。因为它产生了实验上可测试的预测,可以对食物网中何时何地可能发现不同程度的功能冗余进行先验假设测试,所以该框架可能有助于推进对生物多样性和生态系统功能关系的可靠了解,这对于谨慎地确定保护计划的优先次序是必要的。本文提出的理论解释了在特定条件下,增加的多样性如何通过改变生物相互作用的环境,从而改变生物群之间的功能可补偿性,对生态系统的可持续性产生负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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