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- W2102579733 abstract "The rate of input of new individuals into communities is a key component of community dynamics. Detection of ecosystem responsiveness to climatic perturbations such as El Niño-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO) and North Pacific Gyre Oscillation (NPGO) can provide insight into how ecosystems will respond to climate change. Although these climate patterns are ocean-based, understanding of their influences on key ecosystem processes in temperate coastal marine ecosystems is limited. Recent analyses documented orders-of-magnitude increases in mussel recruitment in the 2000s relative to the previous decade. To evaluate the generality of this pattern across other intertidal species with planktotrophic dispersive larvae, and determine the extent to which variation in recruitment was explained by climatic and environmental (upwelling) variation, we analyzed patterns of barnacle and mussel recruitment across space (at up to 10 sites across 250 km) and through time (up to 20-years). Compared to mussel recruitment, barnacle recruitment varied far less interdecadally, and showed minimal change in seasonality. Using three analytical approaches, multiple regression, quantile regression and wavelet analysis, we found that recruitment of the barnacles Balanus glandula and Chthamalus dalli and mussels Mytilus spp. varied in generally similar ways with climate variation as expressed in ENSO, NPGO, and PDO indices, and with upwelling, as expressed in the Bakun upwelling index. In regression approaches, NPGO and upwelling had the strongest associations with recruitment of all species, with MEI and PDO also having an influence on C. dalli. The strength of the association with the environment varied with recruitment magnitude, however, being generally stronger at intermediate and in some cases high recruitment densities and weak at low recruitment densities. Time series (wavelet) analysis showed that with all environmental indices, the most consistent strong relationships occurred at annual periodicities, but multi-year periodicities were also important with PDO and upwelling indices. Patterns were complex, however, with periods of strong and weak associations at different time periodicities varying differently among the different environmental measures, and in some cases varying from strongly positive to strongly negative associations at the same periodicities through time. These relatively consistent relationships between large-scale climate and upwelling, and recruitment explained a substantial fraction of the variance (37–40%). The ~ 60% of the variance in recruitment not explained in our analyses is likely due to myriad other factors such as shorter-scale variation in upwelling, internal tidal bores, sea breezes, wave forces, larval behavior, and post-settlement processes. Thus, our analysis adds insights into potential influences on recruitment that occur at ocean basin- to regional scales, and complements the body of work that focuses on the more local-scale and shorter-term mechanistic influences that also help determine the pace at which larvae recruit to the adult habitat." @default.
- W2102579733 created "2016-06-24" @default.
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- W2102579733 date "2011-04-01" @default.
- W2102579733 modified "2023-10-09" @default.
- W2102579733 title "Linking long-term, large-scale climatic and environmental variability to patterns of marine invertebrate recruitment: Toward explaining “unexplained” variation" @default.
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- W2102579733 cites W1963894231 @default.
- W2102579733 cites W1968841004 @default.
- W2102579733 cites W1972184194 @default.
- W2102579733 cites W1974072473 @default.
- W2102579733 cites W1976259602 @default.
- W2102579733 cites W1979503339 @default.
- W2102579733 cites W1980051345 @default.
- W2102579733 cites W1987691204 @default.
- W2102579733 cites W1988619277 @default.
- W2102579733 cites W1993983262 @default.
- W2102579733 cites W1999654666 @default.
- W2102579733 cites W2010217047 @default.
- W2102579733 cites W2015084564 @default.
- W2102579733 cites W2016744291 @default.
- W2102579733 cites W2018175176 @default.
- W2102579733 cites W2022667217 @default.
- W2102579733 cites W2023889818 @default.
- W2102579733 cites W2025341185 @default.
- W2102579733 cites W2025812544 @default.
- W2102579733 cites W2029180251 @default.
- W2102579733 cites W2029344685 @default.
- W2102579733 cites W2033316778 @default.
- W2102579733 cites W2034139177 @default.
- W2102579733 cites W2037343784 @default.
- W2102579733 cites W2038415761 @default.
- W2102579733 cites W2039447327 @default.
- W2102579733 cites W2048226005 @default.
- W2102579733 cites W2050158953 @default.
- W2102579733 cites W2054637019 @default.
- W2102579733 cites W2055566715 @default.
- W2102579733 cites W2055828497 @default.
- W2102579733 cites W2055992842 @default.
- W2102579733 cites W2064114760 @default.
- W2102579733 cites W2064346432 @default.
- W2102579733 cites W2068375361 @default.
- W2102579733 cites W2071067224 @default.
- W2102579733 cites W2078992396 @default.
- W2102579733 cites W2080593797 @default.
- W2102579733 cites W2082652750 @default.
- W2102579733 cites W2089979745 @default.
- W2102579733 cites W2091990001 @default.
- W2102579733 cites W2093401535 @default.
- W2102579733 cites W2096146674 @default.
- W2102579733 cites W2097000823 @default.
- W2102579733 cites W2103233349 @default.
- W2102579733 cites W2108611527 @default.
- W2102579733 cites W2111040266 @default.
- W2102579733 cites W2111972238 @default.
- W2102579733 cites W2119598868 @default.
- W2102579733 cites W2123900386 @default.
- W2102579733 cites W2124459709 @default.
- W2102579733 cites W2132707399 @default.
- W2102579733 cites W2134406136 @default.
- W2102579733 cites W2138077181 @default.
- W2102579733 cites W2140306747 @default.
- W2102579733 cites W2141594404 @default.
- W2102579733 cites W2143348722 @default.
- W2102579733 cites W2145411765 @default.
- W2102579733 cites W2159446305 @default.
- W2102579733 cites W2162136094 @default.
- W2102579733 cites W2164037590 @default.
- W2102579733 cites W2164123259 @default.
- W2102579733 cites W2166798163 @default.
- W2102579733 cites W2167239677 @default.
- W2102579733 cites W2167505585 @default.
- W2102579733 cites W2169493155 @default.
- W2102579733 cites W2318534747 @default.
- W2102579733 cites W2498956828 @default.
- W2102579733 cites W4239403770 @default.
- W2102579733 cites W4375817606 @default.
- W2102579733 cites W75209568 @default.
- W2102579733 doi "https://doi.org/10.1016/j.jembe.2011.02.003" @default.
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