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
Keyword(s):  
Climate Change ◽  
China Seas ◽  
Marine Climate ◽  
Coastal China

scholarly journals Public engagement with marine climate change issues: (Re)framings, understandings and responses

2014 ◽  
Vol 29 ◽  
pp. 165-179 ◽  
Author(s):  
Jason Chilvers ◽  
Irene Lorenzoni ◽  
Geraldine Terry ◽  
Paul Buckley ◽  
John K. Pinnegar ◽  
...  
Keyword(s):  
Climate Change ◽  
Public Engagement ◽  
Marine Climate

scholarly journals Regional and Urban-Scale Environmental Influences of Oceanic DMS Emissions over Coastal China Seas

Atmosphere ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 849 ◽  
Author(s):  
Shanshan Li ◽  
Yan Zhang ◽  
Junri Zhao ◽  
Golam Sarwar ◽  
Shengqian Zhou ◽  
...  
Keyword(s):  
Bohai Sea ◽  
Regional Scale ◽  
The Yellow Sea ◽  
East China ◽  
China Seas ◽  
The East China Sea ◽  
Different Seasons ◽  
Fine Mode ◽  
Atmospheric Sulfur ◽  
Coastal China

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.

scholarly journals Reporting marine climate change impacts: Lessons from the science-policy interface

2017 ◽  
Vol 78 ◽  
pp. 114-120 ◽  
Author(s):  
Matthew Frost ◽  
John Baxter ◽  
Paul Buckley ◽  
Stephen Dye ◽  
Bethany Stoker
Keyword(s):  
Climate Change ◽  
Science Policy ◽  
Climate Change Impacts ◽  
Science Policy Interface ◽  
Marine Climate

scholarly journals Identifying potential marine climate change refugia: A case study in Canada’s Pacific marine ecosystems

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

scholarly journals ISOTOPIC TEMPERATURES FROM THE EARLY AND MID-PLIOCENE OF THE US MIDDLE ATLANTIC COASTAL PLAIN, AND THEIR IMPLICATIONS FOR THE CAUSE OF REGIONAL MARINE CLIMATE CHANGE

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 ◽  
...  
Keyword(s):  
Climate Change ◽  
Coastal Plain ◽  
Atlantic Coastal Plain ◽  
Middle Atlantic ◽  
The Us ◽  
Atlantic Coastal ◽  
Marine Climate

scholarly journals Decadal warming of coastal China Seas and coupling with winter monsoon and currents

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

scholarly journals Ten Thousand Voices on Marine Climate Change in Europe: Different Perceptions among Demographic Groups and Nationalities

2017 ◽  
Vol 4 ◽  
Author(s):  
Paul J. Buckley ◽  
John K. Pinnegar ◽  
Suzanne J. Painting ◽  
Geraldine Terry ◽  
Jason Chilvers ◽  
...  
Keyword(s):  
Climate Change ◽  
Demographic Groups ◽  
Marine Climate

scholarly journals Empirical evidence for different cognitive effects in explaining the attribution of marine range shifts to climate change

2015 ◽  
Vol 73 (5) ◽  
pp. 1306-1318 ◽  
Author(s):  
Ingrid E. van Putten ◽  
Stewart Frusher ◽  
Elizabeth A. Fulton ◽  
Alistair J. Hobday ◽  
Sarah M. Jennings ◽  
...  
Keyword(s):  
Climate Change ◽  
Cognitive Processes ◽  
Mental Representations ◽  
Range Shift ◽  
Range Shifts ◽  
Cognitive Effects ◽  
Adaptation To Climate Change ◽  
Marine Resource ◽  
The Impact ◽  
Marine Climate

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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