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Biological Opinions - Bureau of Reclamation

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and genetic processes. Resiliency is the ability <strong>of</strong> populations to withstand natural and humancaused<br />

stochastic events, and it depends on sufficient abundance and productivity. The<br />

following attributes are necessary for the SONCC coho salmon ESU to demonstrate<br />

representation, redundancy, connectivity, and resiliency: core populations must be viable and<br />

well distributed; non-core populations must not have a risk <strong>of</strong> extinction; and dependent<br />

populations must have functioning habitat for all life stages <strong>of</strong> coho salmon (Williams et al 2008,<br />

NMFS 2012a).<br />

In order to achieve viable core populations and low or moderate risk <strong>of</strong> extinction for non-core<br />

populations, good quality habitat must be available to support SONCC coho salmon populations<br />

(NMFS 2012a). The rationale for having good quality habitat is that NMFS expects that as<br />

habitat is restored and key threats are abated, more coho salmon will survive and reproduce.<br />

Good quality habitat for coho salmon includes sufficient invertebrate organisms for food; cool,<br />

flowing waters; high dissolved oxygen concentrations in rearing and incubation habitats; water<br />

with low suspended sediment during the growing season (for visual feeding); clean gravel<br />

substrate for reproduction; and unimpeded migratory access to and from spawning and rearing<br />

areas. Specific metrics for good quality habitat are defined in NMFS’s public draft recovery plan<br />

for SONCC coho salmon ESU (NMFS 2012a) using the indicators <strong>of</strong> aquatic habitat suitability<br />

listed in Kier Associates and NMFS (2008) and the disease infection rates summarized by True<br />

(2011).<br />

12.2.4 Extinction Risk Criteria<br />

Williams et al. (2008) built on the population structure and the concepts <strong>of</strong> VSP (McElhany et al.<br />

2000) to establish the extinction risk criteria at the population and ESU scales. The population<br />

extinction risk criteria represent an extension <strong>of</strong> an approach developed by Allendorf et al.<br />

(1997), and include metrics related to population abundance (effective population size),<br />

population decline, catastrophic decline, spawner density, hatchery influence, and population<br />

viability assessment. Populations that fail to satisfy several extinction risk metrics are likely at<br />

greater risk than those that fail to satisfy a single metric. A viable population must have a low<br />

extinction risk for all <strong>of</strong> the 6 population metrics (Table 12.1). For a population to be at<br />

moderate risk <strong>of</strong> extinction, the population must meet the moderate risk description for each<br />

criterion shown in Table 12.1.<br />

Sharr et al. (2000) modeled the probability <strong>of</strong> extinction <strong>of</strong> most Oregon Coast Natural<br />

populations and found that as spawner density dropped below 4 fish per mile (2.4 spawners/km),<br />

the risk <strong>of</strong> extinction rises rapidly (Figure 12.3). When Chilcote (1999) tracked the collapse <strong>of</strong><br />

four coho salmon populations in the Lower Columbia River, they found the depensation<br />

threshold was 2.4 spawners/km. Using spawner-recruit relationships from 14 populations <strong>of</strong><br />

coho salmon, Barrowman et al. (2003) found evidence <strong>of</strong> depensatory effects when spawner<br />

densities are less than 1 adult female per km <strong>of</strong> river (2 spawners/km).<br />

Wainwright et al. (2008) chose a value <strong>of</strong> 0.6 spawners/km as the density at which a population<br />

<strong>of</strong> salmon would be very likely to have significant demographic risks. This was the lowest <strong>of</strong><br />

four bins the Wainwright et al. (2008) workgroup used to populate a decision support system.<br />

Williams et al. (2008) essentially chose this value then divided it by 0.6, which is equivalent to<br />

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