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Featured researches published by Philip C. Reid.


Global Change Biology | 2016

Global impacts of the 1980s regime shift

Philip C. Reid; Renata E. Hari; Grégory Beaugrand; David M. Livingstone; Christoph Marty; Dietmar Straile; Jonathan Barichivich; Eric Goberville; Rita Adrian; Yasuyuki Aono; Ross Brown; James L. Foster; Pavel Ya. Groisman; Pierre Helaouët; Huang-Hsiung Hsu; Richard R. Kirby; Jeff R. Knight; Alexandra Kraberg; Jianping Li; Tzu-Ting Lo; Ranga B. Myneni; Ryan P. North; J. Alan Pounds; Tim H. Sparks; R. Stübi; Yongjun Tian; Karen Helen Wiltshire; Dong Xiao; Zaichun Zhu

Abstract Despite evidence from a number of Earth systems that abrupt temporal changes known as regime shifts are important, their nature, scale and mechanisms remain poorly documented and understood. Applying principal component analysis, change‐point analysis and a sequential t‐test analysis of regime shifts to 72 time series, we confirm that the 1980s regime shift represented a major change in the Earths biophysical systems from the upper atmosphere to the depths of the ocean and from the Arctic to the Antarctic, and occurred at slightly different times around the world. Using historical climate model simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5) and statistical modelling of historical temperatures, we then demonstrate that this event was triggered by rapid global warming from anthropogenic plus natural forcing, the latter associated with the recovery from the El Chichón volcanic eruption. The shift in temperature that occurred at this time is hypothesized as the main forcing for a cascade of abrupt environmental changes. Within the context of the last century or more, the 1980s event was unique in terms of its global scope and scale; our observed consequences imply that if unavoidable natural events such as major volcanic eruptions interact with anthropogenic warming unforeseen multiplier effects may occur.


Large Marine Ecosystems | 2002

2 Interregional biological responses in the North Atlantic to hydrometeorological forcing

Philip C. Reid; Grégory Beaugrand

Abstract Using data from the CPR survey, seven case studies are described that document different spatial and temporal responses in the plankton to hydroclimatic events. Long-term trends in the plankton of the eastern Atlantic and the North Sea over the last five decades are examined. Two of the examples revisit correlations that have been described between copepod abundance in the eastern Atlantic and North Sea and indices of atmospheric variability, the North Atlantic Oscillation index and the Gulf Stream North Wall index. Evidence for an increase in levels of Phytoplankton Colour (a visual index of chlorophyll) on the eastern and western sides of the Atlantic is presented. Changes in three trophic levels and in the hydrodynamics and chemistry of the North Sea circa 1988 are outlined as a regime shift. Two of the case studies emphasise the importance of variability in oceanic advection into shelf seas and the role of western and eastern margin currents at the shelf edge. The plankton appear to be integrating hydrometeorological signals and reflecting basin scale changes in circulation of surface, intermediate and deep waters in part associated with the NAO. The extent to which climatic variability may be contributing to the observed changes in the plankton is discussed with a forecast of potential future ecosystem effects in a climate change scenario.


Proceedings of the National Academy of Sciences of the United States of America | 2016

Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems

Alena S. Gsell; Ulrike Scharfenberger; Deniz Özkundakci; Annika Walters; Lars-Anders Hansson; Annette B.G. Janssen; Peeter Nõges; Philip C. Reid; Daniel E. Schindler; Ellen Van Donk; Vasilis Dakos; Rita Adrian

Significance Early-warning indicators (EWIs), statistical metrics of system resilience, have been hypothesized to provide advance warning of sudden shifts in ecosystems, or so-called “regime shifts.” Here we tested this hypothesis for four commonly used EWIs. We used empirical time series from five freshwater ecosystems with documented sudden, persistent transitions hypothesized to represent critical transitions. EWIs were detected in several of these long-term records, and in some cases several years before the transition; however, these EWIs varied in reliability, and agreement between indicators was low. Moreover, their applicability was strongly limited by the requirement for ecosystem-specific knowledge of transition-generating mechanisms and their drivers to choose relevant state variables for analysis. Ecosystems can show sudden and persistent changes in state despite only incremental changes in drivers. Such critical transitions are difficult to predict, because the state of the system often shows little change before the transition. Early-warning indicators (EWIs) are hypothesized to signal the loss of system resilience and have been shown to precede critical transitions in theoretical models, paleo-climate time series, and in laboratory as well as whole lake experiments. The generalizability of EWIs for detecting critical transitions in empirical time series of natural aquatic ecosystems remains largely untested, however. Here we assessed four commonly used EWIs on long-term datasets of five freshwater ecosystems that have experienced sudden, persistent transitions and for which the relevant ecological mechanisms and drivers are well understood. These case studies were categorized by three mechanisms that can generate critical transitions between alternative states: competition, trophic cascade, and intraguild predation. Although EWIs could be detected in most of the case studies, agreement among the four indicators was low. In some cases, EWIs were detected considerably ahead of the transition. Nonetheless, our results show that at present, EWIs do not provide reliable and consistent signals of impending critical transitions despite using some of the best routinely monitored freshwater ecosystems. Our analysis strongly suggests that a priori knowledge of the underlying mechanisms driving ecosystem transitions is necessary to identify relevant state variables for successfully monitoring EWIs.


Global Change Biology | 2016

Climate change-related regime shifts have altered spatial synchrony of plankton dynamics in the North Sea

Emma J. Defriez; Lawrence W. Sheppard; Philip C. Reid; Daniel C. Reuman

During the 1980s, the North Sea plankton community underwent a well-documented ecosystem regime shift, including both spatial changes (northward species range shifts) and temporal changes (increases in the total abundances of warmer water species). This regime shift has been attributed to climate change. Plankton provide a link between climate and higher trophic-level organisms, which can forage on large spatial and temporal scales. It is therefore important to understand not only whether climate change affects purely spatial or temporal aspects of plankton dynamics, but also whether it affects spatiotemporal aspects such as metapopulation synchrony. If plankton synchrony is altered, higher trophic-level feeding patterns may be modified. A second motivation for investigating changes in synchrony is that the possibility of such alterations has been examined for few organisms, in spite of the fact that synchrony is ubiquitous and of major importance in ecology. This study uses correlation coefficients and spectral analysis to investigate whether synchrony changed between the periods 1959-1980 and 1989-2010. Twenty-three plankton taxa, sea surface temperature (SST), and wind speed were examined. Results revealed that synchrony in SST and plankton was altered. Changes were idiosyncratic, and were not explained by changes in abundance. Changes in the synchrony of Calanus helgolandicus and Para-pseudocalanus spp appeared to be driven by changes in SST synchrony. This study is one of few to document alterations of synchrony and climate-change impacts on synchrony. We discuss why climate-change impacts on synchrony may well be more common and consequential than previously recognized.


Proceedings of the National Academy of Sciences of the United States of America | 2017

Synchrony affects Taylor’s law in theory and data

Daniel C. Reuman; Lei Zhao; Lawrence W. Sheppard; Philip C. Reid; Joel E. Cohen

Significance Two widely confirmed patterns in ecology are Taylor’s law (TL), which states that the variance of population density is approximately a power of mean population density, and population synchrony, the tendency of species’ population sizes in different areas to be correlated through time. TL has been applied in many areas, including fisheries management, conservation, agriculture, finance, physics, and meteorology. Synchrony of populations increases the likelihood of large-scale pest or disease outbreaks and shortages of resources. We show that changed synchrony modifies and can invalidate TL. Widespread recent changes in synchrony, possibly resulting from climate change, may broadly affect TL and its applications. Taylor’s law (TL) is a widely observed empirical pattern that relates the variances to the means of groups of nonnegative measurements via an approximate power law: varianceg ≈ a × meangb, where g indexes the group of measurements. When each group of measurements is distributed in space, the exponent b of this power law is conjectured to reflect aggregation in the spatial distribution. TL has had practical application in many areas since its initial demonstrations for the population density of spatially distributed species in population ecology. Another widely observed aspect of populations is spatial synchrony, which is the tendency for time series of population densities measured in different locations to be correlated through time. Recent studies showed that patterns of population synchrony are changing, possibly as a consequence of climate change. We use mathematical, numerical, and empirical approaches to show that synchrony affects the validity and parameters of TL. Greater synchrony typically decreases the exponent b of TL. Synchrony influenced TL in essentially all of our analytic, numerical, randomization-based, and empirical examples. Given the near ubiquity of synchrony in nature, it seems likely that synchrony influences the exponent of TL widely in ecologically and economically important systems.


Archive | 2004

Continuous Plankton Recorder Observations

Anthony W. Walne; Philip C. Reid

The Continuous Plankton Recorder (CPR) Survey has been towed monthly by commercial vessels to monitor the distribution of plankton in the surface waters of the Northeast Atlantic Ocean for over seventy years. In the past, between 1949 and 1981, CPRs were towed to Ocean Weather Station (OWS) Mike in the Norwegian Sea until sampling ceased due to financial constraints. Summary results from this early survey in the Norwegian Sea are outlined. We also discuss options for the resumption of monitoring of the surface plankton of the Norwegian Sea with CPR tows to OWS Mike and new routes around northern Norway and to Svalbard. In a climate change scenario, for assessment of ecosystems and fishery management an urgent need to improve monitoring of the plankton of Nordic Seas is identified.


Ices Journal of Marine Science | 2012

Relationships between North Atlantic salmon, plankton, and hydroclimatic change in the Northeast Atlantic

Grégory Beaugrand; Philip C. Reid


Progress in Oceanography | 2016

An inflated subpolar gyre blows life toward the northeastern Atlantic

H. Hátún; Katja Lohmann; Daniela Matei; Johann H. Jungclaus; S. Pacariz; Manfred Bersch; A. Gislason; J. Ólafsson; Philip C. Reid


Journal of Plankton Research | 2013

A 60-year ocean colour data set from the continuous plankton recorder

Dionysios E. Raitsos; Anthony W. Walne; Samantha Lavender; Priscilla Licandro; Philip C. Reid; Martin Edwards


EPJ Nonlinear Biomedical Physics | 2017

Rapid surrogate testing of wavelet coherences

Lawrence W. Sheppard; Philip C. Reid; Daniel C. Reuman

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Martin Edwards

Plymouth Marine Laboratory

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Elizabeth Cook

Scottish Association for Marine Science

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Grégory Beaugrand

Centre national de la recherche scientifique

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Pierre Helaouët

Centre national de la recherche scientifique

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