A Late Holocene Reconstruction of Ocean Climate Variability in the Gulf of Maine, USA, Based on Calibrated Isotope Records and Growth Histories from the Long-lived Ocean Quahog (Arctica islandica L.)

Understanding regional patterns of interannual to decadal-scale climate variability over the past 1000 years is critical for evaluating recently observed trends in atmosphere/ocean conditions, particularly in highly-productive ecosystems such as the Gulf of Maine (GOM) that are sensitive to minor changes in climate and/or changes in slope water input. To develop quantitative relationships between bivalve shell chemistry (d18Oc) and growing conditions, aquaculture-based experiments were developed using Mytilus edulis collected in the GOM and Greenland. These experiments yielded a highly accurate and precise paleothermometer [e.g., T °C = 16.28 (± 0.10) - 4.57 (± 0.15) {d18Oc VPBD – d18Ow VSMOW} + 0.06 (± 0.06) {d18Oc VPBD – d 18Ow VSMOW}2; r2 = 0.99; N= 323; p \u3c 0.0001] for M. edulis, and the techniques were applied to the long-lived bivalve species Arctica islandica. To examine ocean variability in the Western GOM during the last millennium, a 142-year-old living A. islandica and three fossil A. islandica shells (corrected 14CAMS = 1030 ± 78 AD; 1320 ± 45 AD; 1357 ± 40 AD) were collected for d18O and growth increment analysis. The standardized annual growth index (SGI) of the modern shell is significantly correlated with continuous GOM plankton recorder data (1961 – 2003; Calanus finmarchicus; r2 = 0.55; p \u3c 0.0001), and SGIs during the late Holocene contain significant periods of 2-6 years, suggesting that slope water variability coupled with North Atlantic Oscillation (NAO) dynamics is primarily responsible for productivity variability. Mean shell-derived isotopic changes were + 0.47 ‰ from 1000 AD to present, and likely reflect a 2 °C cooling caused by an increase in Labrador Current (LC) transport of ~ 0.7 Sv (1 Sv = 106 m3 s-1) and a corresponding decrease in Gulf Stream influence on GOM water temperatures during the past millennium. This hypothesis is consistent with modern observational relationships among the LC, GOM water temperatures, NAO, and Atlantic Multi-Decadal Oscillation (AMO). These results corroborate recent evidence of a large-scale cooling of slope waters and/or dynamical oceanographic changes outside the GOM during the Holocene, and suggest that a direct link exists between the GOM and Northwestern Atlantic

A Late Holocene Reconstruction of Ocean Climate Variability in the Gulf of Maine, USA, Based on Calibrated Isotope Records and Growth Histories from the Long-lived Ocean Quahog (Arctica islandica L.)

Understanding regional patterns of interannual to decadal-scale climate variability over the past 1000 years is critical for evaluating recently observed trends in atmosphere/ocean conditions, particularly in highly-productive ecosystems such as the Gulf of Maine (GOM) that are sensitive to minor changes in climate and/or changes in slope water input. To develop quantitative relationships between bivalve shell chemistry (d18Oc) and growing conditions, aquaculture-based experiments were developed using Mytilus edulis collected in the GOM and Greenland. These experiments yielded a highly accurate and precise paleothermometer [e.g., T °C = 16.28 (± 0.10) - 4.57 (± 0.15) {d18Oc VPBD – d18Ow VSMOW} + 0.06 (± 0.06) {d18Oc VPBD – d 18Ow VSMOW}2; r2 = 0.99; N= 323; p \u3c 0.0001] for M. edulis, and the techniques were applied to the long-lived bivalve species Arctica islandica. To examine ocean variability in the Western GOM during the last millennium, a 142-year-old living A. islandica and three fossil A. islandica shells (corrected 14CAMS = 1030 ± 78 AD; 1320 ± 45 AD; 1357 ± 40 AD) were collected for d18O and growth increment analysis. The standardized annual growth index (SGI) of the modern shell is significantly correlated with continuous GOM plankton recorder data (1961 – 2003; Calanus finmarchicus; r2 = 0.55; p \u3c 0.0001), and SGIs during the late Holocene contain significant periods of 2-6 years, suggesting that slope water variability coupled with North Atlantic Oscillation (NAO) dynamics is primarily responsible for productivity variability. Mean shell-derived isotopic changes were + 0.47 ‰ from 1000 AD to present, and likely reflect a 2 °C cooling caused by an increase in Labrador Current (LC) transport of ~ 0.7 Sv (1 Sv = 106 m3 s-1) and a corresponding decrease in Gulf Stream influence on GOM water temperatures during the past millennium. This hypothesis is consistent with modern observational relationships among the LC, GOM water temperatures, NAO, and Atlantic Multi-Decadal Oscillation (AMO). These results corroborate recent evidence of a large-scale cooling of slope waters and/or dynamical oceanographic changes outside the GOM during the Holocene, and suggest that a direct link exists between the GOM and Northwestern Atlantic

Decoupling of monsoon activity across the northern and southern Indo-Pacific during the Late Glacial

© The Author(s), 2017. This is the author's version of the work. It is posted here under a nonexclusive, irrevocable, paid-up, worldwide license granted to WHOI. It is made available for personal use, not for redistribution. The definitive version was published in Quaternary Science Reviews 176 (2017): 101-105, doi:10.1016/j.quascirev.2017.09.014.Recent studies of stalagmites from the Southern Hemisphere tropics of Indonesia revealed two shifts in monsoon activity not apparent in records from the Northern Hemisphere sectors of the Austral-Asian monsoon system: an interval of enhanced rainfall at ~19 ka, immediately prior to Heinrich Stadial 1, and a sharp increase in precipitation at ~9 ka. Determining whether these events are site-specific or regional is important for understanding the full range of sensitivities of the Austral-Asian monsoon. We present a discontinuous 40 kyr carbon isotope record of stalagmites from two caves in the Kimberley region of the north-central Australian tropics. Heinrich stadials are represented by pronounced negative carbon isotopic anomalies, indicative of enhanced rainfall associated with a southward shift of the intertropical convergence zone and consistent with hydroclimatic changes observed across Asia and the Indo- Pacific. Between 20-8 ka, however, the Kimberley stalagmites, like the Indonesian record, reveal decoupling of monsoon behavior from Southeast Asia, including the early deglacial wet period (which we term the Late Glacial Pluvial) and the abrupt strengthening of early Holocene monsoon rainfall.Funded by grants from the U.S. National Science Foundation Paleo Perspectives on Climate Change program (AGS-1103413 and AGS-1502917 to RFD) and AGS-1602455 (to CCU and RFD), the Center for Global and Regional Environmental Research, and Cornell College (to RFD). CCU acknowledges support from The Investment in Science Fund given primarily by WHOI Trustee and Corporation Members. Support also received from the Kimberley Foundation Australia

Importance of weighting high-resolution proxy data from bivalve shells to avoid bias caused by sample spot geometry and variability in seasonal growth rate

Shells of bivalve mollusks serve as archives for past climates and ecosystems, and human-environmental interactions as well as life history traits and physiology of the animals. Amongst other proxies, data can be recorded in the shells in the form of element chemical properties. As demonstrated here with measured chemical data (10 elements) from 12 Arctica islandica specimens complemented by numerical simulations, mistakes during sclerochronological data processing can introduce significant bias, adding a further source of error to paleoenvironmental or biological reconstructions. Specifically, signal extraction from noisy LA-ICP-MS (Laser Ablation—Inductively Coupled Plasma—Mass Spectrometry) data generated in line scan mode with circular LA spots requires a weighted rather than an arithmetic moving average. Otherwise, results can be in error by more than 41%. Furthermore, if variations of seasonal shell growth rate remain unconsidered, arithmetic annual averages of intra-annual data will be biased toward the fast-growing season of the year. Actual chemical data differed by between 3.7 and 33.7% from weighted averages. Numerical simulations not only corroborated these findings, but indicated that arithmetic annual means can overestimate or underestimate the actual environmental variable by nearly 40% relative to its seasonal range. The magnitude and direction of the error depends on the timing and rate of both seasonal shell growth and environmental change. With appropriate spatial sampling resolution, weighting can reduce this bias to almost zero. On average, the error reduction attains 80% at a sample depth of 10, 92% when 20 samples were analyzed and nearly 100% when 100 samples were taken from an annual increment. Under some exceptional, though unrealistic circumstances, arithmetic means can be superior to weighted means. To identify the presence of such cases, a numerical simulation is advised based on the shape, amplitude and phase relationships of both curves, i.e., seasonal shell growth and the environmental quantity. To assess the error of the offset induced by arithmetic averaging, Monte Carlo simulations should be employed and seasonal shell growth curves randomly generated based on observed variations

The effects of environment on Arctica islandica shell formation and architecture

Mollusks record valuable information in their hard parts that reflect ambient environmental conditions. For this reason, shells can serve as excellent archives to reconstruct past climate and environmental variability. However, animal physiology and biomineralization, which are often poorly understood, can make the decoding of environmental signals a challenging task. Many of the routinely used shell-based proxies are sensitive to multiple different environmental and physiological variables. Therefore, the identification and interpretation of individual environmental signals (e.g., water temperature) often is particularly difficult. Additional proxies not influenced by multiple environmental variables or animal physiology would be a great asset in the field of paleoclimatology. The aim of this study is to investigate the potential use of structural properties of Arctica islandica shells as an environmental proxy. A total of 11 specimens were analyzed to study if changes of the microstructural organization of this marine bivalve are related to environmental conditions. In order to limit the interference of multiple parameters, the samples were cultured under controlled conditions. Three specimens presented here were grown at two different water temperatures (10 and 15 °C) for multiple weeks and exposed only to ambient food conditions. An additional eight specimens were reared under three different dietary regimes. Shell material was analyzed with two techniques; (1) confocal Raman microscopy (CRM) was used to quantify changes of the orientation of microstructural units and pigment distribution, and (2) scanning electron microscopy (SEM) was used to detect changes in microstructural organization. Our results indicate that A. islandica microstructure is not sensitive to changes in the food source and, likely, shell pigment are not altered by diet. However, seawater temperature had a statistically significant effect on the orientation of the biomineral. Although additional work is required, the results presented here suggest that the crystallographic orientation of biomineral units of A. islandica may serve as an alternative and independent proxy for seawater temperature

Rapid 20th century warming reverses 900-year cooling in the Gulf of Maine

The Gulf of Maine, located in the western North Atlantic, has undergone recent, rapid ocean warming but the lack of long-term, instrumental records hampers the ability to put these significant hydrographic changes into context. Here we present multiple 300-year long geochemical records (oxygen, nitrogen, and previously published radiocarbon isotopes) measured in absolutely-dated Arctica islandica shells from the western Gulf of Maine. These records, in combination with climate model simulations, suggest that the Gulf of Maine underwent a long-term cooling over most of the last 1000 years, driven primarily by volcanic forcing and North Atlantic ocean dynamics. This cooling trend was reversed by warming beginning in the late 1800s, likely due to increased atmospheric greenhouse gas concentrations and changes in western North Atlantic circulation. The climate model simulations suggest that the warming over the last century was more rapid than almost any other 100-year period in the last 1000 years in the region