Multiple climate change-driven tipping points for coastal systems

被引:26
|
作者
Barnard, Patrick L. [1 ]
Dugan, Jenifer E. [2 ]
Page, Henry M. [2 ]
Wood, Nathan J. [3 ]
Hart, Juliette A. Finzi [1 ]
Cayan, Daniel R. [4 ]
Erikson, Li H. [1 ]
Hubbard, David M. [2 ]
Myers, Monique R. [5 ]
Melack, John M. [6 ]
Iacobellis, Sam F. [4 ]
机构
[1] US Geol Survey, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA 95060 USA
[2] Univ Calif Santa Barbara, Marine Sci Inst, Santa Barbara, CA 93106 USA
[3] US Geol Survey, Western Geog Sci Ctr, Portland, OR 97201 USA
[4] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92037 USA
[5] Univ Calif Santa Barbara, Calif Sea Grant, Santa Barbara, CA 93106 USA
[6] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA
基金
美国国家科学基金会;
关键词
SEA-LEVEL RISE; DISSOLVED INORGANIC NITROGEN; SANDY BEACH; SOUTHERN CALIFORNIA; MODEL; STORM; CONSEQUENCES; PROJECTIONS; THRESHOLDS; PACIFIC;
D O I
10.1038/s41598-021-94942-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
As the climate evolves over the next century, the interaction of accelerating sea level rise (SLR) and storms, combined with confining development and infrastructure, will place greater stresses on physical, ecological, and human systems along the ocean-land margin. Many of these valued coastal systems could reach "tipping points," at which hazard exposure substantially increases and threatens the present-day form, function, and viability of communities, infrastructure, and ecosystems. Determining the timing and nature of these tipping points is essential for effective climate adaptation planning. Here we present a multidisciplinary case study from Santa Barbara, California (USA), to identify potential climate change-related tipping points for various coastal systems. This study integrates numerical and statistical models of the climate, ocean water levels, beach and cliff evolution, and two soft sediment ecosystems, sandy beaches and tidal wetlands. We find that tipping points for beaches and wetlands could be reached with just 0.25 m or less of SLR (similar to 2050), with>50% subsequent habitat loss that would degrade overall biodiversity and ecosystem function. In contrast, the largest projected changes in socioeconomic exposure to flooding for five communities in this region are not anticipated until SLR exceeds 0.75 m for daily flooding and 1.5 m for storm-driven flooding (similar to 2100 or later). These changes are less acute relative to community totals and do not qualify as tipping points given the adaptive capacity of communities. Nonetheless, the natural and human built systems are interconnected such that the loss of natural system function could negatively impact the quality of life of residents and disrupt the local economy, resulting in indirect socioeconomic impacts long before built infrastructure is directly impacted by flooding.
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页数:13
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