It is expected that climate change will have significant impacts on ecosystems. Most model projections agree that the ocean will experience stronger stratification and less nutrient supply from deep waters. These changes will likely affect marine phytoplankton communities and will thus impact on the higher trophic levels of the oceanic food web. The potential consequences of future climate change on marine microbial communities can be investigated and predicted only with the help of mathematical models. Here we present the application of a model that describes aggregate properties of marine phytoplankton communities and captures the effects of a changing environment on their composition and adaptive capacity. Specifically, the model describes the phytoplankton community in terms of total biomass, mean cell size, and functional diversity. The model is applied to two contrasting regions of the Atlantic Ocean (tropical and temperate) and is tested under two emission scenarios: SRES A2 or "business as usual" and SRES B1 or "local utopia." We find that all three macroecological properties will decline during the next century in both regions, although this effect will be more pronounced in the temperate region. Being consistent with previous model predictions, our results show that a simple trait-based modeling framework represents a valuable tool for investigating how phytoplankton communities may reorganize under a changing climate.
机构:
Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Kanazawa Ku, Yokohama, Kanagawa 236, Japan
Japan Sci & Technol Agcy, CREST, Chiyoda Ku, Tokyo 1020076, JapanLeibniz Ctr Trop Marine Ecol, Bremen, Germany
Smith, S. Lan
[J].
GLOBAL ECOLOGY AND BIOGEOGRAPHY,
2013,
22
(09):
: 1060
-
1070
机构:
Univ New S Wales, Climate & Environm Dynam Lab, Sch Math & Stat, Sydney, NSW 2052, AustraliaUniv New S Wales, Climate & Environm Dynam Lab, Sch Math & Stat, Sydney, NSW 2052, Australia
Baird, Mark E.
Suthers, Iain M.
论文数: 0引用数: 0
h-index: 0
机构:Univ New S Wales, Climate & Environm Dynam Lab, Sch Math & Stat, Sydney, NSW 2052, Australia
机构:
Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Kanazawa Ku, Yokohama, Kanagawa 236, Japan
Japan Sci & Technol Agcy, CREST, Chiyoda Ku, Tokyo 1020076, JapanLeibniz Ctr Trop Marine Ecol, Bremen, Germany
Smith, S. Lan
[J].
GLOBAL ECOLOGY AND BIOGEOGRAPHY,
2013,
22
(09):
: 1060
-
1070
机构:
Univ New S Wales, Climate & Environm Dynam Lab, Sch Math & Stat, Sydney, NSW 2052, AustraliaUniv New S Wales, Climate & Environm Dynam Lab, Sch Math & Stat, Sydney, NSW 2052, Australia
Baird, Mark E.
Suthers, Iain M.
论文数: 0引用数: 0
h-index: 0
机构:Univ New S Wales, Climate & Environm Dynam Lab, Sch Math & Stat, Sydney, NSW 2052, Australia