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【2022 ECRs in Sustainability Science 19】Using mollusk bivalve shells to study marine variability of the past and the present
 
【2022 ECRs in Sustainability Science 19】Using mollusk bivalve shells to study marine variability of the past and the present

Despite its essential role in regulating global climate, the ocean has often been underrepresented in climate action and sustainability plans in the past decades. To quantify and understand the current environmental changes and to model future changes and responses, it is indispensable to have robust evidence-based records of the natural variability of the climate and environmental systems. These records need to be sufficiently long to provide a meaningful baseline and to reflect natural variability at different timescales. However, observations are scarce, generally short, and often intermittent — this is particularly true for the ocean. Fortunately, there is an increasingly significant approach to extending ocean measurements back in time: this is the use of reconstructions based on proxy data from natural marine archives. Bivalve shells, in particular, can be used as highly resolved archives of past marine variability. The annual growth patterns of the shell reflect the environment the animals live in and by crossmatching these growth patterns it is possible to construct multi-centennial, annually resolved, and replicated chronologies of environmental change. This presentation will introduce the field of sclerochronology and provide an overview of the applications and potential of using bivalves as biomonitors to study pollution and climate events and ultimately inform management and policy.

講 者 Speaker: Dr. Stella Alexandroff (Science Officer, Ocean KAN's IPO)
主 持 Host: Ms. Revital Shpangental (Director, Future Earth Secretariat Hub Taipei)

日 期 Date: 30th November 2022
時 間 Time: 16:00 - 17:00 pm (GMT+8)
地 點 Venue: Virtual 線上 (Link will be sent after registration 報名後另外通知視訊連結)
語 言 Language: English 英文

講者資訊 Speaker's Info:
https://scholar.google.com/citations?user=Fp8XECAAAAAJ&hl=en
 
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