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climate change on UAE - Stockholm Environment Institute-US Center

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c<strong>on</strong>siders that “there may be critical thresholds<br />

bey<strong>on</strong>d which some systems may not be able to<br />

adapt to changing <str<strong>on</strong>g>climate</str<strong>on</strong>g> c<strong>on</strong>diti<strong>on</strong>s without<br />

radically altering their functi<strong>on</strong>al state and<br />

system integrity” (IPCC, 2007). Practically<br />

speaking, defining the criteria to reach a<br />

threshold is very difficult to determine: either<br />

it requires empirical evidence from similar<br />

systems which have underg<strong>on</strong>e some threshold<br />

<str<strong>on</strong>g>change</str<strong>on</strong>g>, or a nearly flawless mechanistic model<br />

(a potentially unachievable gold standard).<br />

The theory of whether distinct, quantifiable<br />

thresholds exist in complicated, natural<br />

ecosystems c<strong>on</strong>tinues to be debated in the<br />

literature (Burkett et al., 2005; Briske et<br />

al., 2006; Groffman et al., 2006), but there is<br />

general agreement that the c<strong>on</strong>cept is at least<br />

illustrative, if not functi<strong>on</strong>ally applicable in many<br />

circumstances. To be susceptible to threshold<br />

behavior, an ecosystem must have the potential<br />

to obtain multiple stable states. Ecosystems<br />

of all sizes are always in a state of flux, with<br />

various comp<strong>on</strong>ents c<strong>on</strong>tinually recovering<br />

from disturbances; therefore, ecosystems do<br />

not simply obtain a ‘climax’, but may reach a<br />

stable equilibrium, in which the functi<strong>on</strong>al state<br />

of the system remains essentially the same<br />

despite disturbances. Some have described<br />

the steady state as a suite of positive and<br />

negative feedback loops, which balance to keep<br />

ecosystem functi<strong>on</strong> relatively c<strong>on</strong>stant (van de<br />

Koppel et al., 1997).<br />

In some cases, either extreme disturbances<br />

or (more often) chr<strong>on</strong>ic disturbances may be<br />

enough to either enhance a positive feedback<br />

cycle or attenuate a negative feedback cycle, and<br />

the state of the ecosystem shifts dramatically.<br />

The shift from <strong>on</strong>e stable state to the next<br />

requires that the system be pushed past a<br />

particular threshold before settling into a new<br />

steady state (Scheffer et al., 2001).<br />

Current ecosystem theory suggests that multiple<br />

steady states can be envisi<strong>on</strong>ed in a three<br />

dimensi<strong>on</strong>al space (see Figure 8. 1) representing<br />

the ecosystem state and c<strong>on</strong>diti<strong>on</strong>s <strong>on</strong> a flat<br />

plane, and a measure of ecosystem stability in<br />

the vertical plane (Scheffer et al., 2001). The<br />

“ecosystem state” is simply the functi<strong>on</strong>al form<br />

of an ecosystem under a certain set of c<strong>on</strong>diti<strong>on</strong>s.<br />

The c<strong>on</strong>diti<strong>on</strong>s may include <str<strong>on</strong>g>climate</str<strong>on</strong>g>, chemical,<br />

and physical properties of the area. The line<br />

represented <strong>on</strong> the flat plane traces the regi<strong>on</strong><br />

of maximum ecosystem stability, with two areas<br />

of “attracti<strong>on</strong>” (labeled as F 1<br />

and F 2<br />

).<br />

Al<strong>on</strong>g the solid line, as c<strong>on</strong>diti<strong>on</strong>s <str<strong>on</strong>g>change</str<strong>on</strong>g><br />

smoothly, the state of the ecosystem <str<strong>on</strong>g>change</str<strong>on</strong>g>s<br />

smoothly. However, a significant perturbati<strong>on</strong><br />

in either the state or the ambient c<strong>on</strong>diti<strong>on</strong>s<br />

may be enough to push the ecosystem into<br />

a new steady state. This shift could be both<br />

perceived and labeled as a catastrophic <str<strong>on</strong>g>change</str<strong>on</strong>g>.<br />

In this representati<strong>on</strong>, the depth of the wells<br />

is a measure of the ecosystem’s resistance<br />

to <str<strong>on</strong>g>change</str<strong>on</strong>g> (its intrinsic stability at particular<br />

c<strong>on</strong>diti<strong>on</strong>s), while the steepness of the well<br />

walls represents the resilience of the ecosystem<br />

(given a disturbance, how likely is the ecosystem<br />

to return to its initial state).<br />

In this case, resilience can be envisi<strong>on</strong>ed as the<br />

magnitude of a disturbance required to push the<br />

ecosystem into a new steady state (Carpenter et<br />

al., 2001). In the c<strong>on</strong>text of <str<strong>on</strong>g>climate</str<strong>on</strong>g> <str<strong>on</strong>g>change</str<strong>on</strong>g> and<br />

biodiversity, <str<strong>on</strong>g>climate</str<strong>on</strong>g> <str<strong>on</strong>g>change</str<strong>on</strong>g> would be a shift<br />

in ambient c<strong>on</strong>diti<strong>on</strong>s, driving the ecosystem<br />

through a smooth transiti<strong>on</strong> al<strong>on</strong>g a steadystate<br />

line. However, if land use <str<strong>on</strong>g>change</str<strong>on</strong>g>, habitat<br />

destructi<strong>on</strong>, or polluti<strong>on</strong> weakens resilience, it<br />

may be trivial to push an ecosystem into a new<br />

steady state.<br />

A threshold could be crossed by stressing<br />

multiple state variables, or even a single<br />

important state variable such as <str<strong>on</strong>g>climate</str<strong>on</strong>g> <str<strong>on</strong>g>change</str<strong>on</strong>g><br />

or precipitati<strong>on</strong> availability. Changes in critical<br />

loadings, such as nutrients, temperature, or<br />

water availability can trigger a catastrophic<br />

<str<strong>on</strong>g>change</str<strong>on</strong>g>, and external anthropogenic forcing can<br />

also push a threshold envelope.<br />

The c<strong>on</strong>cept of a threshold is a useful c<strong>on</strong>cept,<br />

yet may lack a specific applicati<strong>on</strong> in real world<br />

management. Ecosystem models have been built<br />

to explore the nature of ecosystem equilbria, and<br />

in these process-based models, it is relatively<br />

trivial to simulate threshold behavior. Since<br />

even process-based models inevitably rely <strong>on</strong><br />

some degree of empirical numerical estimati<strong>on</strong>s,<br />

thresholds are, to some degree, built into these<br />

models. However, in practice, it is difficult to<br />

define the boundaries of a natural ecosystem<br />

state and the c<strong>on</strong>tributing c<strong>on</strong>diti<strong>on</strong>s such<br />

that a threshold can be quantitatively defined.<br />

To define a threshold effectively, either the<br />

behavior has to have been observed already in<br />

a similar ecotype, or the understanding of the<br />

166<br />

Climate Change Impacts, Vulnerability & Adaptati<strong>on</strong>

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