期刊
LIMNOLOGY AND OCEANOGRAPHY
卷 58, 期 4, 页码 1301-1311出版社
WILEY
DOI: 10.4319/lo.2013.58.4.1301
关键词
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资金
- U.K. Natural Environment Research Council (NERC) [NE/F009186/1]
- NERC [NE/F010184/1]
- NERC [NE/H012567/1, NE/F010184/1] Funding Source: UKRI
- Natural Environment Research Council [NE/H012567/1, NE/F010184/1] Funding Source: researchfish
We used laboratory cultures of marine microalgae to investigate the effects of growth conditions and their taxonomic position on the production of isoprene, a gas that has major effects on atmospheric chemistry and provides stress tolerance to many primary producers. Isoprene was quantified from 21 microalgal strains sampled during exponential growth, using purge-and-trap pre-concentration and gas chromatography with flame-ionization detection. Isoprene production rates varied by two orders of magnitude between strains (0.03-1.34 mu mol [g chlorophyll a](-1) h(-1)), and were positively correlated with temperature (r(2) = 0.52, p < 0.001, n = 59). Three distinct sea surface temperature (SST)-dependent relationships were found between isoprene and chlorophyll a (mu mol [g chlorophyll a](-1) h(-1)), an improvement in resolution over the single relationship used in previous models: for three polar strains grown at -1 degrees C (slope = 0.03, R-2 = 0.76, p < 0.05, n = 9), nine strains grown at 16 degrees C (slope = 0.24, R-2 = 0.43, p < 0.05, n = 27 with Dunaliella tertiolecta excluded), and eight strains grown at 26 degrees C (slope = 0.39, R-2 = 0.15, p < 0.05, n = 24). We then used a simple model that applied the SST-dependent nature of isoprene production to three representative bioregions for the growth temperatures used in this study. This approach yielded an estimate of global marine isoprene production that was 51% higher than previous attempts using an SST-independent single relationship. Taking into account the effect of temperature therefore potentially allows more precise modeling of marine isoprene production, and suggests that increasing the SST-based resolution of data beyond the three groups used here could further improve future modeling simulations.
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