Development of temperature-based algorithms for the estimation of microphytobenthic primary production in a tidal flat: A case study in Daebu mudflat, Korea

doi:10.1016/j.envpol.2018.05.032

	Development of temperature-based algorithms for the estimation of microphytobenthic primary production in a tidal flat: A case study in Daebu mudflat, Korea
	Kwon, Bong-Oh 1,2; Kim, Hae-Cheol 3; Koh, Chul-Hwan 1,2; Ryu, Jongseong 4; Son, SeungHyun 5; Kim, Yong Hoon 6; Khim, Jong Seong 1,2
刊名	ENVIRONMENTAL POLLUTION
	2018-10
卷号	241 页码:115-123
关键词	Microphytobenthos Daebu mudflat Photosynthesis-irradiance curves Temperature Primary production model Korea
ISSN号	0269-7491
DOI	10.1016/j.envpol.2018.05.032
英文摘要	This study presents the results of field experiments that were designed to investigate the photo physiological characteristics of microphytobenthos (MPB) and to estimate primary production (PP) in Daebu mudflat, which is located at the west coast of Korea. A typical seasonal (or monthly) fluctuation of intertidal MPB PP was found in association with biotic (benthic Chl-a) and/or abiotic parameters (irradiance and temperature) over a period of three years. From a series of field -laboratory experiments using the oxygen micro -profiling method (totaling 28 surveys), three consistent phenomena were observed: 1) winter to early spring algal blooms, 2) seasonal changes in Q(10), and 3) temperature dependent MPB photosynthesis-irradiance (P-I). In particular, both the chlorophyll-specific maximum photosynthetic capacity (P-ma(b).) and the saturated light intensity (I-k), derived from 126 P-I curves (1870 data sets of oxygen micro-profiling in the sediment), were significantly correlated with sediment temperature (p < 0.01). To develop an empirical MPB PP model, the relationships between P-I parameters and environmental variables were parameterized following established exponential forms (e.g., Q(10)). It was possible to estimate the MPB PP in Daebu mudflat area by using easily accessible explanatory factor, suitable to be used for future explorations of parameters such as sediment temperature, irradiance, chlorophyll concentration, and tidal height. The estimated annual MPB PP based on the empirical PP model were found to be greater than that in the Wadden Sea and average annual PP in the temperate zones of the world. Authors believe that the present approach of the MPB PP estimation could be combined with remote-sensing techniques (e.g., satellites) to support coastal ecosystem management. (C) 2018 Elsevier Ltd. All rights reserved.
资助项目	project "Development of blue carbon information system and its assessment for management" - Ministry of Oceans and Fisheries of Korea (MOF)[20170318]
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000440390800013
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/10905]
专题	自然资源部第一海洋研究所
通讯作者	Khim, Jong Seong
作者单位	1.Seoul Natl Univ, Sch Earth & Environm Sci, 1 Gwanak Ro, Seoul 08826, South Korea 2.Seoul Natl Univ, Res Inst Oceanog, 1 Gwanak Ro, Seoul 08826, South Korea 3.NOAA, IM Syst Grp, NWS, NECP,EMC, College Pk, MD USA 4.Anyang Univ, Dept Marine Biotechnol, Incheon, South Korea 5.Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA 6.West Chester Univ Penn, Dept Earth & Space Sci, W Chester, PA USA
推荐引用方式 GB/T 7714	Kwon, Bong-Oh,Kim, Hae-Cheol,Koh, Chul-Hwan,et al. Development of temperature-based algorithms for the estimation of microphytobenthic primary production in a tidal flat: A case study in Daebu mudflat, Korea[J]. ENVIRONMENTAL POLLUTION,2018,241:115-123.
APA	Kwon, Bong-Oh.,Kim, Hae-Cheol.,Koh, Chul-Hwan.,Ryu, Jongseong.,Son, SeungHyun.,...&Khim, Jong Seong.(2018).Development of temperature-based algorithms for the estimation of microphytobenthic primary production in a tidal flat: A case study in Daebu mudflat, Korea.ENVIRONMENTAL POLLUTION,241,115-123.
MLA	Kwon, Bong-Oh,et al."Development of temperature-based algorithms for the estimation of microphytobenthic primary production in a tidal flat: A case study in Daebu mudflat, Korea".ENVIRONMENTAL POLLUTION 241(2018):115-123.