Using tree-ring crossdating techniques to validate annual growth increments in long-lived fishes

Bryan A Black; George W Boehlert; Mary M Yoklavich

doi:10.1139/f05-142

Using tree-ring crossdating techniques to validate annual growth increments in long-lived fishes

Canadian Journal of Fisheries and Aquatic Sciences ◽

10.1139/f05-142 ◽

2005 ◽

Vol 62 (10) ◽

pp. 2277-2284 ◽

Cited By ~ 80

Author(s):

Bryan A Black ◽

George W Boehlert ◽

Mary M Yoklavich

Keyword(s):

Time Series ◽

Tree Ring ◽

Growth Increment ◽

Growth Patterns ◽

Freshwater Species ◽

Age Validation ◽

Average Growth ◽

Growth Increments ◽

Wide Range ◽

Ring Analysis

We applied crossdating, a dendrochronology (tree-ring analysis) age validation technique, to growth increment widths of 50 Sebastes diploproa otoliths ranging from 30 to 84 years in age. Synchronous growth patterns were matched by the following: (i) checking the dates of conspicuously narrow growth increments for agreement among samples and (ii) statistically verifying that growth patterns correlated among samples. To statistically verify pattern matching, we fit each time series of otolith measurements with a spline, and all measurements were divided by the values predicted by the curve. This standardized each time series to a mean of 1, removing the effects of age on growth and homogenizing variance. Each time series was then correlated with the average growth patterns of all other series, yielding an average correlation coefficient (r) of 0.53. Average growth of all 50 samples was significantly correlated with an upwelling index (r = 0.40, p = 0.002), the Pacific Decadal Oscillation (r = 0.29, p = 0.007), and the Northern Oscillation Index (r = 0.51, p = 0.0001), corroborating accuracy. We believe this approach to age validation will be applicable to a wide range of long-lived marine and freshwater species.

Establishing highly accurate production-age data using the tree-ring technique of crossdating: a case study for Pacific geoduck (Panopea abrupta)

Canadian Journal of Fisheries and Aquatic Sciences ◽

10.1139/f08-158 ◽

2008 ◽

Vol 65 (12) ◽

pp. 2572-2578 ◽

Cited By ~ 52

Author(s):

Bryan A. Black ◽

Darlene C. Gillespie ◽

Shayne E. MacLellan ◽

Claudia M. Hand

Keyword(s):

Tree Ring ◽

Environmental Variability ◽

Growth Zone ◽

Growth Increment ◽

Annual Growth ◽

Freshwater Bivalve ◽

Growth Increments ◽

Additional Equipment ◽

Ring Analysis ◽

Annual Growth Increment

We apply the tree-ring technique of crossdating to generate highly accurate age data and evaluate error in annual growth increment (annual growth zone) counts for long-lived Pacific geoduck ( Panopea abrupta ) in the Tree Nob Islands, northern British Columbia, Canada. Crossdating is the most fundamental procedure of tree-ring analysis and is based on the tendency of environmental variability to synchronize the growth of all individuals at a given site. By crossmatching these synchronous growth “bar codes”, all growth increments can be correctly identified and assigned the correct calendar year, including the innermost year of recruitment. In this analysis, a total of 432 geoduck individuals were aged using crossdating methods as well as annual growth increment counts. The entire crossdating process was completed using visual techniques, requiring no additional equipment beyond a microscope or microprojector. When compared with crossdated ages, growth increment counts consistently underaged Pacific geoduck, particularly in the oldest individuals. These inaccuracies obscured major recruitment pulses and underestimated the rarity of strong recruitment events. To date, crossdating has been used to develop growth chronologies in a variety of marine and freshwater bivalve and fish species, but no study has demonstrated how the technique can be used to dramatically and economically improve accuracy in age data.

Otolith microstructure and growth patterns during the early life history of lanternfishes (family Myctophidae)

Canadian Journal of Zoology ◽

10.1139/z91-247 ◽

1991 ◽

Vol 69 (7) ◽

pp. 1777-1792 ◽

Cited By ~ 24

Author(s):

Tomasz B. Linkowski

Keyword(s):

Early Life History ◽

Growth Increment ◽

Growth Patterns ◽

Fish Growth ◽

Fish Length ◽

Simultaneous Formation ◽

Growth Increments ◽

Wide Range ◽

History Of ◽

Otolith Size

The microstructure of the central part of the sagittal otoliths of 55 myctophid species belonging to 27 genera of lanternfishes was compared by means of light and scanning electron microscopy. Multiple primordia were found in the nuclei of all otoliths. In most species and genera a symmetrical pattern of accessory primordia (AP) was observed: they were located along the same growth increment, which indicates simultaneous formation. A clustered pattern of AP was found only in species belonging to the tribe Gymnoscopelini: AP occurred at several growth increments, which indicates that they developed sequentially. The growth increments formed after the formation of clustered AP revealed a sectorial otolith structure, i.e., growth increments were not continuous but separated by radial discontinuities. The pattern and time of formation of AP were found to influence the relationship between otolith diameter and fish length in the Myctophidae. The formation of numerous AP concurrently with transformation of the larva led to a dissociation of fish growth from otolith growth. When AP appeared simultaneously but before transformation, the allometric relationship between otolith size and fish length was not disrupted by this process. Sequential formation of AP considerably before transformation, which occurred only in the Gymnoscopelini, led to an isometric relationship between fish size and otolith size. The potential importance of the AP pattern as a distinguishing character for myctophid larvae is considered to be greatest in the Gymnoscopelini, as these growth centers, in the form of external protrusions, were evident over a wide range of sizes from small larvae to early juveniles.

Growth Increments and Geochemical Variations in the Molluscan Shell

Notes for a Short Course: Studies in Geology ◽

10.1017/s027116480000110x ◽

1985 ◽

Vol 13 ◽

pp. 72-87 ◽

Cited By ~ 1

Author(s):

Douglas S. Jones

Keyword(s):

Shell Growth ◽

Maximum Growth ◽

Growth Increment ◽

Growth Patterns ◽

Random Disturbance ◽

Growth Increments ◽

Molluscan Shell ◽

External Shell ◽

Periodic Growth ◽

Geochemical Variations

Perhaps the one structural feature of the molluscan shell which has historically attracted the most attention from biologists and paleobiologists alike is the banding or growth increment variation associated with so many molluscan species. Such growth patterns are often prominently displayed on the external surfaces of shells and have long been the focus of serious biological and paleontological research (see reviews by Clark, 1974; Lutz and Rhoads, 1980). The usefulness of external shell growth patterns in ecological or paleoecological contexts is limited, however, by both the inability to distinguish true periodic features from random disturbance marks and by the extreme crowding of growth lines near the margins of mature shells. In the last two decades these problems have been surmounted with the recognition of periodic growth patterns within molluscan shells. Internal shell growth patterns are known from all classes of mollusks, but those in the Bivalvia have been studied most extensively. This is a result of the relative ease with which a complete ontogenetic growth record can be obtained by sectioning a shell along the axis of maximum growth (Rhoads and Pannella, 1970). Analogous ontogenetic records are very difficult, if not impossible, to obtain from coiled or spiral shells (e.g., gastropods) using current techniques (Lutz and Rhoads, 1980). This chapter, then, aims to review the major types of internal shell growth patterns described within molluscan shells (mainly bivalves) and to discuss their origin and applications in ecology and paleoecology. Also taken up in this chapter is a brief consideration of geochemical variations (stable oxygen and carbon isotopes and trace and minor elements) within molluscan shells. Physical-chemical, environmental, and physiological influences on shell chemistry are discussed in relation to how biogeochemical variations in the shell may be used to reconstruct paleoenvironmental conditions.

Dendroecological reconstructions of forest disturbance history using time-series analysis with intervention detection

Canadian Journal of Forest Research ◽

10.1139/x05-020 ◽

2005 ◽

Vol 35 (4) ◽

pp. 868-876 ◽

Cited By ~ 38

Author(s):

Daniel L Druckenbrod

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Tree Ring ◽

Forest Disturbance ◽

Ring Width ◽

Fagus Grandifolia ◽

Disturbance History ◽

Series Analysis ◽

Growth Increments ◽

Width Measurements

The detection of release events in the annual growth increments of trees has become a central and widely applied method for reconstructing the disturbance history of forests. While numerous approaches have been developed for identifying release events, the preponderance of these methods relies on running means that compare the percent change in growth rates. These methods do not explicitly account for the autocorrelation present within tree-ring width measurements and may introduce spurious events. This paper utilizes autoregressive integrated moving-average (ARIMA) processes to model tree-ring time series and incorporates intervention detection to identify pulse and step outliers as well as changes in trends indicative of a deterministic exogenous influence on past growth. This approach is evaluated by applying it to three chronologies from the Forest Responses to Anthropogenic Stress (FORAST) project that were impacted by prior disturbance events. The examples include a hemlock (Tsuga canadensis (L.) Carrière) chronology from New Hampshire, a white pine (Pinus strobus L.) chronology from Pennsylvania, and an American beech (Fagus grandifolia Ehrh.) chronology from Virginia. All three chronologies exhibit a clustering of step, pulse, and trend interventions subsequent to a known or likely disturbance event. Time-series analysis offers an alternative approach for identifying prior forest disturbances via tree rings based on statistical methods applicable across species and disturbance regimes.

Lifetime growth patterns and ages of Bolivian rain forest trees obtained by tree ring analysis

Journal of Ecology ◽

10.1111/j.1365-2745.2005.01080.x ◽

2006 ◽

Vol 94 (2) ◽

pp. 481-493 ◽

Cited By ~ 120

Author(s):

ROEL J.W. BRIENEN ◽

PIETER A. ZUIDEMA

Keyword(s):

Tree Ring ◽

Rain Forest ◽

Growth Patterns ◽

Forest Trees ◽

Tree Ring Analysis ◽

Ring Analysis

Functional Modeling of Plant Growth Dynamics

10.1101/190967 ◽

2017 ◽

Cited By ~ 1

Author(s):

Yuhang Xu ◽

Yumou Qiu ◽

James C. Schnable

Keyword(s):

Time Series ◽

Plant Growth ◽

Growth Curves ◽

Growth Patterns ◽

Estimation Accuracy ◽

Plant Phenotyping ◽

Continuous Growth ◽

Wide Range ◽

Functional Anova ◽

Over Time

ABSTRACTRecent advances in automated plant phenotyping have enabled the collection time series measurements from the same plants of a wide range of traits over different developmental time scales. The availability of time series phenotypic datasets has increased interest in statistical approaches for comparing patterns of change between different plant genotypes and different treatment conditions. Two widely used methods of modeling growth over time are point-wise analysis of variance (ANOVA) and parametric sigmoidal curve fitting. Point-wise ANOVA yields discontinuous growth curves, which do not reflect the true dynamics of growth patterns in plants. In contrast, fitting a parametric model to a time series of observations does capture the trend of growth, however these models require assumptions regarding the true pattern of plant growth. Depending on the species, treatment regime, and subset of the plant lifecycle sampled this assumptions will not always hold true. Here we introduce a different approach – functional ANOVA – which yields continuous growth curves without requiring assumptions regarding patterns of plant growth. We compare and validate this approach using data from an experiment measuring growth of two maize (Zea mays ssp. mays) genotypes under two water availability treatments over a 21-day period. Functional ANOVA enables a nonparametric estimation of the dynamics of changes in plant traits over time without assumptions regarding curve shape. In addition to estimating smooth curves of trait values over time, functional ANOVA also estimates the the derivatives of these curves – e.g. growth rates – simultaneously. Using two different subsampling strategies, we demonstrate that this functional ANOVA method enables the comparison of growth curves between plants phenotyped on non-overlapping days with little reduction in estimation accuracy. This means functional ANOVA based approaches can allow larger numbers of samples and biological replicates to be scored in a single experiment given fixed amounts of phenotyping infrastructure and personnel.

Differences in the Climate-Growth Relationship of Scots Pine: A Case Study from Poland and Hungary

Forests ◽

10.3390/f10030243 ◽

2019 ◽

Vol 10 (3) ◽

pp. 243 ◽

Cited By ~ 4

Author(s):

Dávid Misi ◽

Radosław Puchałka ◽

Charlotte Pearson ◽

Iain Robertson ◽

Marcin Koprowski

Keyword(s):

Tree Ring ◽

Scots Pine ◽

Ring Width ◽

Summer Precipitation ◽

Growth Patterns ◽

Dominant Factor ◽

Tree Ring Width ◽

Important Species ◽

Growth Environment ◽

Wide Range

Scots pine is an adaptable and prevalent European tree species that grows naturally throughout Europe and has been planted in a wide range of environments. Previous studies have indicated that climatic variables affect tree-ring growth patterns in this species, but it is also possible that certain aspects of the growth environment moderate this response. In order to understand the potential impact a shifting climate has on this important species, this study compared the growth response of two populations of Scots pine. Trees from similar bioclimatic regions in Hungary and Poland were compared using the hypothesis that differences in the association between climate and growth would be reflected by the degree of tree-ring width variation. We also wanted to know how changing climatic conditions influenced the temporal stability of the climate–growth signal in the most important periods for tree growth. Clear similarities in the effect of temperature and precipitation on tree-ring width variation were found between the two sites, but there were also some interesting differences. In the late winter to early spring period both populations reacted to warming with a decreasing association with temperature. Summer precipitation was shown to be the dominant factor in controlling ring-width. A decreasing trend in summer precipitation values at both Hungarian and Polish sites resulted in a weakening in correspondence for the Hungarian trees, while the Polish trees showed a significant increase in correlation with summer precipitation. The results indicated that changes in climate influenced the studied trees in different ways which has implications for the future balance of Scots pine growth in Europe.

Reconciling tree-ring sampling with conservation

Antiquity ◽

10.1017/s0003598x00043854 ◽

1981 ◽

Vol 55 (214) ◽

pp. 90-95 ◽

Cited By ~ 2

Author(s):

R. A. Morgan ◽

J. Hillam ◽

J. M. Coles ◽

S. McGrail

Keyword(s):

Tree Ring ◽

Wood Sample ◽

TREE-RING ANALYSIS, A TOOL TO ASSIST IN DATING OF SUBFOSSIL FORESTS KILLED BY GEOLOGIC EVENTS—VICTIM TREE EXAMPLES FROM MOUNT RAINIER LAHARS AND THE BONNEVILLE LANDSLIDE, WASHINGTON AND OREGON, USA

10.1130/abs/2020am-359506 ◽

2020 ◽

Author(s):

Patrick Pringle ◽

Keyword(s):

Tree Ring ◽

Tree Ring Analysis ◽

Mount Rainier ◽

Ring Analysis

Analogy-Based Crop Yield Forecasts Based on Temporal Similarity of Leaf Area Index

Remote Sensing ◽

10.3390/rs13163069 ◽

2021 ◽

Vol 13 (16) ◽

pp. 3069

Author(s):

Yadong Liu ◽

Junhwan Kim ◽

David H. Fleisher ◽

Kwang Soo Kim

Keyword(s):

Time Series ◽

Leaf Area Index ◽

Leaf Area ◽

Crop Yield ◽

Satellite Data ◽

Growing Season ◽

Environmental Data ◽

Area Index ◽

Current Season ◽

Wide Range

Seasonal forecasts of crop yield are important components for agricultural policy decisions and farmer planning. A wide range of input data are often needed to forecast crop yield in a region where sophisticated approaches such as machine learning and process-based models are used. This requires considerable effort for data preparation in addition to identifying data sources. Here, we propose a simpler approach called the Analogy Based Crop-yield (ABC) forecast scheme to make timely and accurate prediction of regional crop yield using a minimum set of inputs. In the ABC method, a growing season from a prior long-term period, e.g., 10 years, is first identified as analogous to the current season by the use of a similarity index based on the time series leaf area index (LAI) patterns. Crop yield in the given growing season is then forecasted using the weighted yield average reported in the analogous seasons for the area of interest. The ABC approach was used to predict corn and soybean yields in the Midwestern U.S. at the county level for the period of 2017–2019. The MOD15A2H, which is a satellite data product for LAI, was used to compile inputs. The mean absolute percentage error (MAPE) of crop yield forecasts was <10% for corn and soybean in each growing season when the time series of LAI from the day of year 89 to 209 was used as inputs to the ABC approach. The prediction error for the ABC approach was comparable to results from a deep neural network model that relied on soil and weather data as well as satellite data in a previous study. These results indicate that the ABC approach allowed for crop yield forecast with a lead-time of at least two months before harvest. In particular, the ABC scheme would be useful for regions where crop yield forecasts are limited by availability of reliable environmental data.