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Linking Restoration and Ecological Succession (Springer ... - Inecol

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Chapter 7 <strong>Restoration</strong> as a Process of Assembly <strong>and</strong> <strong>Succession</strong> Mediated by Disturbance 151<br />

trajectories. In addition to concepts of ecological succession, there are other<br />

ecological theories <strong>and</strong> concepts including assembly <strong>and</strong> disturbance, which<br />

may be particularly useful when applied to degraded ecosystems that need<br />

restoring. The idea of community or ecosystem assembly arises from the observation<br />

that only certain species are able to establish <strong>and</strong> survive in any given<br />

area <strong>and</strong> that species tend to occur in recognizable <strong>and</strong> repeatable combinations<br />

or temporal sequences. Hence, there is the possibility that a set of rules can be<br />

identified that describe the processes underlying these observations. Temperton<br />

et al. (2004) recently evaluated the broad field of community assembly in relation<br />

to restoration. In particular, the relative merit of different approaches<br />

to assembly were assessed in relation to their direct application in restoration<br />

ecology <strong>and</strong> practice (Temperton <strong>and</strong> Hobbs 2004).<br />

We also consider the idea that modifying ecosystem dynamics for restoration<br />

purposes can be done effectively by using disturbance as a management tool,<br />

for instance to set back the successional clock or alter abiotic restrictions for<br />

species establishment <strong>and</strong> community assembly. Additionally, natural disturbance<br />

events can be used as a “window of opportunity” for restoration purposes,<br />

such as enhancing plant establishment after heavy rainfalls associated with El<br />

Niño in arid environments (Holmgren et al. 2006).<br />

Together, concepts from succession, assembly, <strong>and</strong> disturbance deal with the<br />

processes by which the living components of an ecosystem change over time<br />

<strong>and</strong> how the species assemblage present at any one time may be explained.<br />

Our premise in this chapter is that these fields, although often treated as separate<br />

entities, are complementary. Both the similarities <strong>and</strong> differences between<br />

assembly <strong>and</strong> succession mediated by disturbance can be effectively assessed<br />

to derive the most promising aspects of the fields for application in restoration.<br />

In this chapter, we thus aim to revisit perspectives from earlier chapters<br />

(particularly Chapters 5 <strong>and</strong> 6) to consider succession together with assembly<br />

<strong>and</strong> disturbance, <strong>and</strong> examine how these mesh together in the context of restoration.<br />

The aim is (1) to discuss the different types of dynamics that potentially<br />

occur in ecosystems—restored or natural, (2) to explore drivers of these dynamics,<br />

including assembly <strong>and</strong> succession modified by disturbance, <strong>and</strong> (3) to<br />

illustrate the relevance of these concepts to restoration management.<br />

7.2 Ecosystem Dynamics<br />

A broad categorization of the different types of dynamics that have been hypothesized<br />

to occur in ecosystems includes: deterministic dynamics, stochastic<br />

dynamics, <strong>and</strong> transitions among alternative stable stables (multiple equilibria).<br />

These are illustrated in Fig. 7.1. Essentially, an assumption of deterministic dynamics<br />

(Fig. 7.1a) suggests a predictable path of development given any particular<br />

starting point, regardless of conditions prior to or during the development<br />

of the ecosystem. This characterizes the traditional Clementsian perspective<br />

(Clements 1916), as later characterized in ecosystem terms by Odum (1969).<br />

Stochastic dynamics (Fig. 7.1b) suggest a less orderly development with the<br />

path of development constantly being affected by a variety of factors each<br />

working on a range of different temporal <strong>and</strong> spatial scales, resulting in an<br />

apparent r<strong>and</strong>om path. Finally, a state <strong>and</strong> transition approach (Fig. 7.1c) suggests<br />

that development is phasic <strong>and</strong> characterized by relatively sudden changes

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