The value of marsh restoration for flood risk reduction in an urban estuary

被引:6
作者
Taylor-Burns, Rae [1 ]
Lowrie, Christopher [1 ]
Tehranirad, Babak [2 ]
Lowe, Jeremy [3 ]
Erikson, Li [2 ]
Barnard, Patrick L. [2 ]
Reguero, Borja G. [1 ]
Beck, Michael W. [1 ]
机构
[1] Univ Calif Santa Cruz, Santa Cruz, CA 95064 USA
[2] US Geol Survey, Pacific Coastal & Marine Sci Ctr, Santa Cruz, CA USA
[3] San Francisco Estuary Inst, Richmond, CA USA
关键词
REGRESSION-BASED ESTIMATION; SENTENCE COMPREHENSION; LANGUAGE; PREDICTION; L2; INFORMATION; COMPONENT; GENDER; WORDS; TIME;
D O I
10.1038/s41598-024-57474-4
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
The use of nature-based solutions (NBS) for coastal climate adaptation has broad and growing interest, but NBS are rarely assessed with the same rigor as traditional engineering solutions or with respect to future climate change scenarios. These gaps pose challenges for the use of NBS for climate adaptation. Here, we value the flood protection benefits of stakeholder-identified marsh restoration under current and future climate change within San Francisco Bay, a densely urbanized estuary, and specifically on the shores of San Mateo County, the county most vulnerable to future flooding in California. Marsh restoration provides a present value of $21 million which increases to over $100 million with 0.5 m of sea level rise (SLR), and to about $500 million with 1 m of SLR. There are hotspots within the county where marsh restoration delivers very high benefits for adaptation, which reach $9 million/hectare with likely future sea level and storm conditions. Today's investments in nature and community resilience can result in increasing payoffs as climate change progresses and risk increases.
引用
收藏
页数:10
相关论文
共 72 条
[1]   Control mechanisms in bilingual language production: Neural evidence from language switching studies [J].
Abutalebi, Jubin ;
Green, David W. .
LANGUAGE AND COGNITIVE PROCESSES, 2008, 23 (04) :557-582
[2]   How much baseline correction do we need in ERP research? Extended GLM model can replace baseline correction while lifting its limits [J].
Alday, Phillip M. .
PSYCHOPHYSIOLOGY, 2019, 56 (12)
[3]   Electrophysiology Reveals the Neural Dynamics of Naturalistic Auditory Language Processing: Event-Related Potentials Reflect Continuous Model Updates [J].
Alday, Phillip M. ;
Schlesewsky, Matthias ;
Bornkessel-Schlesewsky, Ina .
ENEURO, 2017, 4 (06)
[4]   Hamshahri: A standard Persian text collection [J].
AleAhmad, Abolfazl ;
Amiri, Hadi ;
Darrudi, Ehsan ;
Rahgozar, Masoud ;
Oroumchian, Farhad .
KNOWLEDGE-BASED SYSTEMS, 2009, 22 (05) :382-387
[5]   Incremental interpretation at verbs: restricting the domain of subsequent reference [J].
Altmann, GTM ;
Kamide, Y .
COGNITION, 1999, 73 (03) :247-264
[6]   Frequency-specific brain dynamics related to prediction during language comprehension [J].
Armeni, Kristijan ;
Willems, Roel M. ;
van den Bosch, Antal ;
Schoffelen, Jan-Mathijs .
NEUROIMAGE, 2019, 198 :283-295
[7]   How does bilingualism modify cognitive function? Attention to the mechanism [J].
Bialystok, Ellen ;
Craik, Fergus I. M. .
PSYCHONOMIC BULLETIN & REVIEW, 2022, 29 (04) :1246-1269
[8]   Naturalistic Sentence Comprehension in the Brain [J].
Brennan, Jonathan .
LANGUAGE AND LINGUISTICS COMPASS, 2016, 10 (07) :299-313
[9]   Hierarchical structure guides rapid linguistic predictions during naturalistic listening [J].
Brennan, Jonathan R. ;
Hale, John T. .
PLOS ONE, 2019, 14 (01)
[10]   brms: An R Package for Bayesian Multilevel Models Using Stan [J].
Buerkner, Paul-Christian .
JOURNAL OF STATISTICAL SOFTWARE, 2017, 80 (01) :1-28