climate change on UAE - Stockholm Environment Institute-US Center
climate change on UAE - Stockholm Environment Institute-US Center
climate change on UAE - Stockholm Environment Institute-US Center
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
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>