Impacts of and adaptation to inter-decadal marine climate change in coastal China seas

2015 ◽  
Vol 36 (11) ◽  
pp. 3770-3780 ◽  
Author(s):  
Rongshuo Cai ◽  
Hongjian Tan ◽  
Qinghua Qi
2014 ◽  
Vol 29 ◽  
pp. 165-179 ◽  
Author(s):  
Jason Chilvers ◽  
Irene Lorenzoni ◽  
Geraldine Terry ◽  
Paul Buckley ◽  
John K. Pinnegar ◽  
...  

Atmosphere ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 849 ◽  
Author(s):  
Shanshan Li ◽  
Yan Zhang ◽  
Junri Zhao ◽  
Golam Sarwar ◽  
Shengqian Zhou ◽  
...  

Marine biogenic dimethyl sulfide (DMS) is an important natural source of sulfur in the atmosphere, which may play an important role in air quality. In this study, the WRF-CMAQ model is employed to assess the impact of DMS on the atmospheric environment at the regional scale of eastern coastal China and urban scale of Shanghai in 2017. A national scale database of DMS concentration in seawater is established based on the historical DMS measurements in the Yellow Sea, the Bohai Sea and the East China Sea in different seasons during 2009~2017. Results indicate that the sea-to-air emission flux of DMS varies greatly in different seasons, with the highest in summer, followed by spring and autumn, and the lowest in winter. The annual DMS emissions from the Yellow Sea, the Bohai Sea and the East China Sea are 0.008, 0.059, and 0.15 Tg S a−1, respectively. At the regional scale, DMS emissions increase atmospheric sulfur dioxide (SO2) and sulfate (SO42−) concentrations over the East China seas by a maximum of 8% in summer and a minimum of 2% in winter, respectively. At the urban scale, the addition of DMS emissions increase the SO2 and SO42− levels by 2% and 5%, respectively, and reduce ozone (O3) in the air of Shanghai by 1.5%~2.5%. DMS emissions increase fine-mode ammonium particle concentration distribution by 4% and 5%, and fine-mode nss-SO42− concentration distributions by 4% and 9% in the urban and marine air, respectively. Our results indicate that although anthropogenic sources are still the dominant contributor of atmospheric sulfur burden in China, biogenic DMS emissions source cannot be ignored.


2017 ◽  
Vol 78 ◽  
pp. 114-120 ◽  
Author(s):  
Matthew Frost ◽  
John Baxter ◽  
Paul Buckley ◽  
Stephen Dye ◽  
Bethany Stoker

2016 ◽  
Vol 8 ◽  
pp. 41-54 ◽  
Author(s):  
Stephen S. Ban ◽  
Hussein M. Alidina ◽  
Thomas A. Okey ◽  
Rachel M. Gregg ◽  
Natalie C. Ban

Palaios ◽  
2017 ◽  
Vol 32 (4) ◽  
pp. 250-269 ◽  
Author(s):  
ANDREW L.A. JOHNSON ◽  
ANNEMARIE VALENTINE ◽  
MELANIE J. LENG ◽  
HILARY J. SLOANE ◽  
BERND R. SCHÖNE ◽  
...  

2013 ◽  
Vol 40 (23) ◽  
pp. 6288-6292 ◽  
Author(s):  
L.-Y. Oey ◽  
M.-C. Chang ◽  
Y.-L. Chang ◽  
Y.-C. Lin ◽  
F.-H. Xu

2017 ◽  
Vol 4 ◽  
Author(s):  
Paul J. Buckley ◽  
John K. Pinnegar ◽  
Suzanne J. Painting ◽  
Geraldine Terry ◽  
Jason Chilvers ◽  
...  

2015 ◽  
Vol 73 (5) ◽  
pp. 1306-1318 ◽  
Author(s):  
Ingrid E. van Putten ◽  
Stewart Frusher ◽  
Elizabeth A. Fulton ◽  
Alistair J. Hobday ◽  
Sarah M. Jennings ◽  
...  

Abstract The changing geographical distribution of species, or range shift, is one of the better documented fingerprints of climate change in the marine environment. Range shifts may also lead to dramatic changes in the distribution of economic, social, and cultural opportunities. These challenge marine resource users' capacity to adapt to a changing climate and managers' ability to implement adaptation plans. In particular, a reluctance to attribute marine range shift to climate change can undermine the effectiveness of climate change communications and pose a potential barrier to successful adaptation. Attribution is a known powerful predictor of behavioural intention. Understanding the cognitive processes that underpin the formation of marine resource users' beliefs about the cause of observed marine range shift phenomena is therefore an important topic for research. An examination of the attribution by marine resource users of three types of range shifts experienced in a marine climate change hotspot in southeast Australia to various climate and non-climate drivers indicates the existence of at least three contributing cognitions. These are: (i) engrained mental representations of environmental phenomena, (ii) scientific complexity in the attribution pathway, and (iii) dissonance from the positive or negative nature of the impact. All three play a part in explaining the complex pattern of attribution of marine climate change range shifts, and should be considered when planning for engagement with stakeholders and managers around adaptation to climate change.


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