Multiple climate change-driven tipping points for coastal systems.
Multiple climate change-driven tipping points for coastal systems.
复制标题
多个气候变化驱动的沿海系统引爆点。
DOI:
10.1038/s41598-021-94942-7
复制
发表时间:
2021-07-30
影响因子:
4.6
通讯作者:
Iacobellis SF
中科院分区:
文献类型:
--
作者:
Barnard PL;Dugan JE;Page HM;Wood NJ;Hart JAF;Cayan DR;Erikson LH;Hubbard DM;Myers MR;Melack JM;Iacobellis SF
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 (~ 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 (~ 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.
登录
查看更多内容
影响因子:
16.6
作者:
Barnard PL;Hoover D;Hubbard DM;Snyder A;Ludka BC;Allan J;Kaminsky GM;Ruggiero P;Gallien TW;Gabel L;McCandless D;Weiner HM;Cohn N;Anderson DL;Serafin KA
通讯作者:
Serafin KA
影响因子:
4.8
作者:
Cayan, Daniel R.;Bromirski, Peter D.;Flick, Reinhard E.
通讯作者:
Flick, Reinhard E.
DOI:
10.1073/pnas.1817205116
发表时间:
2019-06-04
影响因子:
11.1
作者:
Bamber, Jonathan L.;Oppenheimer, Michael;Cooke, Roger M.
通讯作者:
Cooke, Roger M.
影响因子:
30.7
作者:
Clark, Peter U.;Shakun, Jeremy D.;Plattner, Gian-Kasper
通讯作者:
Plattner, Gian-Kasper
影响因子:
3.4
作者:
Bragg, Wendy Karen;Gonzalez, Sara Tasse;Stoltz, Amanda Dania
通讯作者:
Stoltz, Amanda Dania