Succession of Species within a Community: Chronological Clustering, with Applications to Marine and Freshwater Zooplankton

Legendre, Pierre; Dallot, S.; Legendre, Louis

doi:10.1086/284340

Cited by 160 publications

(114 citation statements)

References 36 publications

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“…In each season for both sites the permanence time, visitation pattern and the richness were calculated. A type Q similarity matrix based on the occurrence matrix and calculated with Dice similarity coefficient (Pielou, 1984;Legendre et al, 1985) was used to verify the occurrence of discrete stages of change. Thereafter, a cluster analysis using UPGMA method was performed using this data.…”

Section: Methodsmentioning

confidence: 99%

Heterotrophic succession in carrion arthropod assemblages

Moura

Monteiro‐Filho

Carvalho

2005

Braz. arch. biol. technol.

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Investigations were conducted on carrion attendant insects succession at two contrasting sites to determine if it was a discrete process or not. The visitation pattern of species revealed that saprophagous and predator species had complementary patterns of arrival and that percentage of reoccurring taxa ranged between 40 and 46%, except during winter when it reached 96%. The forested site always presented a higher richness than urban site, and at both the sites the tendency of species increase showed an exponential growth and then a decline. The arriving pattern was clumped in the earlier decompositional stages. At both the sites no clear boundaries werefound between the decomposition stages, thus suggesting a continuous process and also suggesting that the facilitation was not the process generating the observed pattern.

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Section: Methodsmentioning

confidence: 99%

Heterotrophic succession in carrion arthropod assemblages

Moura

Monteiro‐Filho

Carvalho

2005

Braz. arch. biol. technol.

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“…We first used chronological clustering (Legendre et al 1985) to determine if whelk arrival rate was constant or variable through time. Connectedness was fixed at 50 O/O and different levels of statistical significance were used.…”

Section: Methodsmentioning

confidence: 99%

Currents, predators, and the aggregation of the gastropod Buccinum undatum around bait

Lapointe¹,

Sainte‐Marie²

1992

Mar. Ecol. Prog. Ser.

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Aggregation of the gastropod Buccinum undatum Linnaeus around bait was studied at 2 subtidal sites, with different current regimes, in the northern Gulf of Saint Lawrence, Canada. Timelapse photography, SCUBA and current recordings were used to measure and interpret movement and behavior of whelks up to 25 m away from the bait. Objectives were to test the hypothesis of upstream movement to bait, and to determine relations between whelk arrival rate at the bait and currents and predators. In the absence of bait, 75.8 % of whelks were static or buried. In the presence of bait, whelks in a 20 to 60' downstream sector to a maximum distance of 20 m moved towards the bait. Whelks apparently oriented to the bait by chemotaxis Average crawling speed towards the bait varied from 7.3 to 15.1 cm min-' and was independent of current speed. More whelks arnved at bait per unit tlme when current direction changed gradually than when current was directlonally stable; this was due to exploitation of new grounds and to depletion of the downstream population respectively. A model and Indirect field evidence indicate that whelk arrival rate is depressed by sudden and marked changes in current direction, because whelks are unable to track the shi,ting odor plume. Arrival rate was positively correlated with current speed with time lags of up to 3 h, but tended to be negatively correlated with longer time lags. Arrival rate was negatively correlated with the numbel of predators (Cancer irroratus and Hyas araneus) at bait with time lags of up to 1 h, but positively correlated with numbers of H. araneus at bait with longer time lags. These correlations are explained by changes in the characteristics of the odor plume and by agonistic interactions.

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“…The conclusions drawn from a PCA can be strengthened by combining it with other independent approaches to multivariate time series analysis, such as CHRONOLOGICAL CLUSTERING [29,30] (Box 4). For example, PCA and chronological clustering were found to yield comparable regime shift patterns in 78 time series from the North and Wadden Seas [31].…”

Section: Detecting Thresholds and Regime Shifts In Ecological Datamentioning

confidence: 99%

Ecological thresholds and regime shifts: approaches to identification

Andersen

Carstensen²,

Hernández-Garcı́a

et al. 2009

Trends in Ecology & Evolution

643

517

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There is an apparent gap between the prominence of present theoretical frameworks involving ecological thresholds and regime shifts, and the paucity of efforts to conduct simple tests and quantitative inferences on the actual appearance of such phenomena in ecological data. There is a wide range of statistical methods and analytical techniques now available that render these questions tractable, some of them even dating half a century back. Yet, their application has been sparse and confined within a narrow subset of cases of ecological regime shifts. Our objective is to raise awareness on the range of techniques available, and to their principles and limitations, in order to promote a more operational approach to the analysis of ecological thresholds and regime shifts. The observation that managed ecosystems often fail to respond smoothly to changing pressures has generated perplexity and eventually lead researchers to draw parallels between the behaviour of ecological systems and other complex systems with non-linear dynamics, such as the global climate, the human immune system, and the world economy (cf.[1] for a popular account). Initial reports of kelp forest disturbance and recovery [2], freshwater ecosystem shifts engineered by beavers [3], and vegetation shifts affected by fire [4] have lead on to an ever-growing research effort on ECOLOGICAL THRESHOLDS and REGIME SHIFTS (see Glossary), whose underlying theoretical framework [5,6] (Box 1) has been shown to be applicable to a broad range of ecosystems from coral reefs to forests and lakes [7,8]. These concepts are now also making their way into the minds and discussions of policy makers and might soon be translated into legislative frameworks [9].Ecological regime shifts can be defined as abrupt changes on several trophic levels [10], leading to rapid ecosystem reconfiguration between alternative states. These shifts are generally thought to be driven by external perturbations (e.g. climatic fluctuations, overexploitation, eutrophication, and invasive species), but the exact mechanism is often unclear. The subject has become a fast growing scientific discipline, manifested by a 12-fold increase in publications between 1991 and 2006, twice as fast as the growth rate of research effort in ecology as a whole (7.7 % year -1 , ISI Web of Science). Most of the reported cases of ecological regime shifts are inferred from time series of monitoring data, while direct evidence by controlled experiments of the existence of alternative states is difficult to find [11]. Surprisingly, the general techniques available to test for regime shifts and thresholds have only to a limited extent been applied to these data sets. As formal tests of regime shifts have a long history in the context of climate change research (e.g. that formal statistical tests for ecological regime shifts have mostly been restricted to the effects of climate change on marine communities [13]. These observations suggest that there is a need to increase the awareness of ecologists on the availability...

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Succession of Species within a Community: Chronological Clustering, with Applications to Marine and Freshwater Zooplankton

Cited by 160 publications

References 36 publications

Heterotrophic succession in carrion arthropod assemblages

Heterotrophic succession in carrion arthropod assemblages

Currents, predators, and the aggregation of the gastropod Buccinum undatum around bait

Ecological thresholds and regime shifts: approaches to identification

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