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Principles of terrestrial ecosystem ecology.pdf

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364 16. Managing and Sustaining Ecosystems<br />

recognition <strong>of</strong> the dynamic character <strong>of</strong> <strong>ecosystem</strong>s;<br />

(6) attention to scale and context; (7)<br />

inclusion <strong>of</strong> humans as a component <strong>of</strong><br />

<strong>ecosystem</strong>s; and (8) incorporation <strong>of</strong> adaptive<br />

approaches (Christensen et al. 1996). Most<br />

integrated <strong>ecosystem</strong> management programs<br />

explicitly facilitate public participation and<br />

collaborative decision making.<br />

Long-term sustainability is the fundamental<br />

objective <strong>of</strong> <strong>ecosystem</strong> management. It is<br />

achievable in part via the inclusion <strong>of</strong> sound<br />

ecological models and understanding that<br />

incorporate the complex and dynamic character<br />

<strong>of</strong> <strong>ecosystem</strong>s and acknowledge humans as<br />

inherent components <strong>of</strong> <strong>ecosystem</strong>s. Change<br />

and uncertainty are intrinsic characteristics <strong>of</strong><br />

most <strong>ecosystem</strong>s, and <strong>ecosystem</strong> management<br />

is an approach that acknowledges the occurrence<br />

<strong>of</strong> stochastic events as well as predictable<br />

variability (Holling 1993). Ecosystem management<br />

must therefore be flexible enough to learn<br />

from scientific analysis and advances and<br />

to adapt to institutional and environmental<br />

change.<br />

An <strong>ecosystem</strong> management approach is<br />

especially critical for the management <strong>of</strong><br />

complex systems such as watersheds and<br />

marine fisheries, where management must consider<br />

multiple changes and the linkage among<br />

<strong>ecosystem</strong>s through the movement <strong>of</strong> water, air,<br />

animals, and plants. The ocean <strong>ecosystem</strong> that<br />

is relevant to salmon fisheries combines freshwater<br />

rivers and streams, coastal <strong>ecosystem</strong>s,<br />

intermediate continental shelf waters, and the<br />

deep ocean, all <strong>of</strong> which are characterized by<br />

complex dynamics that vary in space and time<br />

in ways that are poorly understood. The complexity<br />

and scales <strong>of</strong> change in marine <strong>ecosystem</strong>s<br />

are only partially understood, including<br />

seasonal variations in productivity, regionalscale<br />

El Niño climatic events, and long-term<br />

changes in salinity and ocean temperature.<br />

Large natural fluctuations in the abundances <strong>of</strong><br />

marine fish are the rule more than the exception.<br />

Our limited powers <strong>of</strong> direct observation<br />

also result in a fragmented knowledge <strong>of</strong> the<br />

diversity, abundance, and interactions <strong>of</strong> marine<br />

organisms. One challenge <strong>of</strong> <strong>ecosystem</strong> management<br />

is to reconcile the disparity between<br />

the spatial and temporal scales at which<br />

humans make resource management decisions<br />

and those at which <strong>ecosystem</strong> properties<br />

operate (Christensen et al. 1996).<br />

Ecosystem management goes beyond a<br />

single focus on commodity resources and harvesting<br />

limits. Instead, it embraces sustainability<br />

as the criterion for commodity provision<br />

and/or other uses. Ecosystem management is<br />

therefore concerned with multiple functions,<br />

thresholds in processes, and trade-<strong>of</strong>fs among<br />

different management consequences. It frequently<br />

considers, for example, both productivity<br />

and biodiversity (Johnson et al. 1996). All<br />

<strong>ecosystem</strong> management projects strive for an<br />

integrated understanding and management <strong>of</strong><br />

the ecological, social, economic, and political<br />

aspects <strong>of</strong> resource use to maximize long-term<br />

sustainability (Box 16.2).<br />

Adaptive management, involving experimentation<br />

in the design and implementation <strong>of</strong><br />

policies, is central to effective management <strong>of</strong><br />

<strong>ecosystem</strong>s. An adaptive policy is one that is<br />

designed from the outset to test hypotheses<br />

about the ways in which <strong>ecosystem</strong> processes<br />

respond to human actions. In this way, if the<br />

policy fails, learning occurs, so better policies<br />

can be applied in the future. Perhaps as a result<br />

<strong>of</strong> frequent management failures and gaps in<br />

scientific knowledge, the concept <strong>of</strong> adaptive<br />

management has become central to the implementation<br />

<strong>of</strong> <strong>ecosystem</strong> management. One<br />

advantage <strong>of</strong> adaptive management stems from<br />

the high degree <strong>of</strong> uncertainty in real-life<br />

complex systems. Instead <strong>of</strong> delaying timely<br />

action due to the lack <strong>of</strong> certainty, adaptive<br />

management promotes the opportunity to learn<br />

from management experience. The lack <strong>of</strong><br />

action in the face <strong>of</strong> uncertainty can have<br />

<strong>ecosystem</strong> and societal consequences that are<br />

at least as great as actions based on reasonable<br />

hypotheses about how the <strong>ecosystem</strong> functions.<br />

Hypotheses that underlie adaptive management<br />

may consider the probabilities <strong>of</strong> both<br />

desired outcomes and ecological disasters<br />

(Starfield et al. 1995). The optimal policy,<br />

for example, may be one that has a moderate<br />

probability <strong>of</strong> desirable outcomes and a low<br />

probability <strong>of</strong> causing an ecological disaster.<br />

While hundreds <strong>of</strong> projects have embraced<br />

an <strong>ecosystem</strong> management perspective, most

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