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Abramowicz, Konrad
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Publications (10 of 14) Show all publications
Rani, R., Abramowicz, K., Falster, D. S., Sterck, F. & Brännström, Å. (2018). Effects of bud-flushing strategies on tree growth. Tree Physiology, 38(9), 1384-1393
Open this publication in new window or tab >>Effects of bud-flushing strategies on tree growth
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2018 (English)In: Tree Physiology, ISSN 0829-318X, E-ISSN 1758-4469, Vol. 38, no 9, p. 1384-1393Article in journal (Refereed) Published
Abstract [en]

Allocation of carbohydrates between competing organs is fundamental to plant development, growth and productivity. Carbohydrates are synthesized in mature leaves and distributed via the phloem vasculature to developing buds where they are consumed to produce new biomass. The distribution and mass-allocation processes within the plant remain poorly understood and may involve complex feedbacks between different plant functions, with implications for the emergent structure of the plant. Here, we investigate how the order in which dormant buds are flushed affects the development of tree size and reproductive output during the first 20 years of growth in full light and shaded canopy environments. We report the following findings: (i) Bud-flushing strategies strongly affect the temporal dynamics of height, mass and the size of reproduction pool, as well as the resulting architectures. (ii) Bud-flushing strategies affect tree growth by altering the rate of growth and final size of trees. (iii) No single bud-flushing strategy performs best when both the size and allocation for reproduction of the resulting trees are compared. However, we observe that the strategy that optimizes the net carbon gain for the entire tree architecture always results in a high reproduction output. (iv) Branch turnover and meristem regeneration enhance the performance of certain strategies with respect to the measured quantities. These results highlight the importance of employing generic models of architecture (i.e., non-species-specific) to identify general mechanisms of carbon allocation and the spatial distribution of newly formed biomass in growing trees.

Place, publisher, year, edition, pages
Oxford University Press, 2018
Keywords
bud flushing, carbon allocation, functional structural plant model, tree architecture
National Category
Forest Science
Identifiers
urn:nbn:se:umu:diva-155037 (URN)10.1093/treephys/tpy005 (DOI)000452456200011 ()29534227 (PubMedID)
Available from: 2019-01-07 Created: 2019-01-07 Last updated: 2019-01-07Bibliographically approved
Wenk, E. H., Abramowicz, K., Westoby, M. & Falster, D. S. (2018). Investment in reproduction for 14 iteroparous perennials is large and associated with other life-history and functional traits. Journal of Ecology, 106(4), 1338-1348
Open this publication in new window or tab >>Investment in reproduction for 14 iteroparous perennials is large and associated with other life-history and functional traits
2018 (English)In: Journal of Ecology, ISSN 0022-0477, E-ISSN 1365-2745, Vol. 106, no 4, p. 1338-1348Article in journal (Refereed) Published
Abstract [en]

1. While theoretical models predict reproductive allocation (RA) should approach 100% of available energy as a plant ages, available empirical data suggest much lower RA values in perennial plants. In this study, we have two aims. First, we assess whether the discrepancy between theory and data arises from methodological differences in how growth and RA are calculated. Specifically, we hypothesize RA in older plants is large when compared to growth in leaf area, that is, after excluding turnover of stem and leaf tissues. Second, we hypothesize that species with cheap tissues or those that are shorter reach RA = 0.5 at a younger age.

2. We measured investment in leaf, stem and reproduction on individuals from 14 co-occurring woody perennial iteroparous species. A fire chronosequence allowed us to use a space-for-time substitution to estimate RA schedules for each species, simultaneously measuring reproductive and vegetative production on individuals differing in age.

3. For most (11 of 14) species, we found RA eventually reached 100% of available energy, with another two species reaching at least 80%. Increases in RA were associated with a decline in growth of leaf area. Comparing species, we found that species with cheap leaves reached RA = 0.5 sooner (they could be called fast-living), whereas delayed maturation and slower increases in RA were associated with greater maximum height.

4. Synthesis. Explicitly accounting for the cost of leaf replacement leads to the high estimates of reproductive allocation in perennial plants predicted by theoretical models, limiting or even halting leaf area expansion. For some species, so much energy is allocated to reproduction that leaf area declines year-upon-year for multiple growing seasons preceding death. Connecting lifetime reproductive allocation schedules with leaf area expansion, leaf life span, and plant maximum height demonstrates how reproductive allocation schedules synthesize a plant's life-history strategy, making them a valuable tool for connecting plant traits and demography.

Place, publisher, year, edition, pages
John Wiley & Sons, 2018
Keywords
big-bang, ecological strategies, life history, plant species traits, population dynamics, reproduction, reproductive allocation
National Category
Environmental Sciences Ecology
Identifiers
urn:nbn:se:umu:diva-150762 (URN)10.1111/1365-2745.12974 (DOI)000435444700002 ()
Available from: 2018-08-27 Created: 2018-08-27 Last updated: 2018-08-27Bibliographically approved
Abramowicz, K., Häger, C., Pini, A., Schelin, L., Sjöstedt de Luna, S. & Vantini, S. (2018). Nonparametric inference for functional-on-scalar linear models applied to knee kinematic hop data after injury of the anterior cruciate ligament. Scandinavian Journal of Statistics, 45(4), 1036-1061
Open this publication in new window or tab >>Nonparametric inference for functional-on-scalar linear models applied to knee kinematic hop data after injury of the anterior cruciate ligament
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2018 (English)In: Scandinavian Journal of Statistics, Vol. 45, no 4, p. 1036-1061Article in journal (Refereed) Published
Abstract [en]

Motivated by the analysis of the dependence of knee movement patterns during functional tasks on subject-specific covariates, we introduce a distribution-free procedure for testing a functional-on-scalar linear model with fixed effects. The procedure does not only test the global hypothesis on the entire domain but also selects the intervals where statistically significant effects are detected. We prove that the proposed tests are provided with an asymptotic control of the intervalwise error rate, that is, the probability of falsely rejecting any interval of true null hypotheses. The procedure is applied to one-leg hop data from a study on anterior cruciate ligament injury. We compare knee kinematics of three groups of individuals (two injured groups with different treatments and one group of healthy controls), taking individual-specific covariates into account.

Place, publisher, year, edition, pages
John Wiley & Sons, 2018
Keywords
analysis of covariance, functional data, human movement, intervalwise testing, permutation test
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:umu:diva-150935 (URN)10.1111/sjos.12333 (DOI)000450039100010 ()
Funder
Swedish Research Council, K2014-99X-21876-04-4Swedish Research Council, 340-2013-5203Swedish Research Council, 2016-02763Västerbotten County Council, ALF VLL548501Västerbotten County Council, VLL-358901Västerbotten County Council, 7002795
Available from: 2018-08-20 Created: 2018-08-20 Last updated: 2019-01-07Bibliographically approved
Abramowizc, K., Arnqvist, P., Secchi, P., Sjöstedt de Luna, S., Vantini, S. & Vitelli, V. (2017). Clustering misaligned dependent curves applied to varved lake sediment for climate reconstruction. Stochastic environmental research and risk assessment (Print), 31(1), 71-85
Open this publication in new window or tab >>Clustering misaligned dependent curves applied to varved lake sediment for climate reconstruction
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2017 (English)In: Stochastic environmental research and risk assessment (Print), ISSN 1436-3240, E-ISSN 1436-3259, Vol. 31, no 1, p. 71-85Article in journal (Refereed) Published
Abstract [en]

In this paper we introduce a novel functional clustering method, the Bagging Voronoi K-Medoid Aligment (BVKMA) algorithm, which simultaneously clusters and aligns spatially dependent curves. It is a nonparametric statistical method that does not rely on distributional or dependency structure assumptions. The method is motivated by and applied to varved (annually laminated) sediment data from lake Kassjön in northern Sweden, aiming to infer on past environmental and climate changes. The resulting clusters and their time dynamics show great potential for seasonal climate interpretation, in particular for winter climate changes.

Place, publisher, year, edition, pages
Springer, 2017
Keywords
Functional data, Clustering, Dependence, Misalignment, Sediment data
National Category
Probability Theory and Statistics
Research subject
Mathematical Statistics
Identifiers
urn:nbn:se:umu:diva-130727 (URN)10.1007/s00477-016-1287-6 (DOI)000394278600006 ()
Available from: 2017-01-30 Created: 2017-01-30 Last updated: 2018-06-09Bibliographically approved
Chen, Z.-Q., Abramowicz, K., Raczkowski, R., Ganea, S., Wu, H. X., Lundqvist, S.-O., . . . Mellerowicz, E. J. (2016). Method for accurate fiber length determination from increment cores for large-scale population analyses in Norway spruce. Holzforschung, 70(9), 829-838
Open this publication in new window or tab >>Method for accurate fiber length determination from increment cores for large-scale population analyses in Norway spruce
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2016 (English)In: Holzforschung, ISSN 0018-3830, E-ISSN 1437-434X, Vol. 70, no 9, p. 829-838Article in journal (Refereed) Published
Abstract [en]

Fiber (tracheid) length is an important trait targeted for genetic and silvicultural improvement. Such studies require large-scale non-destructive sampling, and accurate length determination. The standard procedure for non-destructive sampling is to collect increment cores, singularize their cells by maceration, measure them with optical analyzer and apply various corrections to suppress influence of non-fiber particles and cut fibers, as fibers are cut by the corer. The recently developed expectation-maximization method (EM) not only addresses the problem of non-fibers and cut fibers, but also corrects for the sampling bias. Here, the performance of the EM method has been evaluated by comparing it with length-weighing and squared length-weighing, both implemented in fiber analyzers, and with microscopy data for intact fibers, corrected for sampling bias, as the reference. This was done for 12-mm increment cores from 16 Norway spruce (Picea abies (L.) Karst) trees on fibers from rings 8-11 (counted from pith), representing juvenile wood of interest in breeding programs. The EM-estimates provided mean-fiber-lengths with bias of only +2.7% and low scatter. Length-weighing and length2-weighing gave biases of -7.3% and +9.3%, respectively, and larger scatter. The suggested EM approach constitutes a more accurate non-destructive method for fiber length (FL) determination, expected to be applicable also to other conifers.

Place, publisher, year, edition, pages
Walter de Gruyter, 2016
Keywords
expectation-maximization, fiber length, increment core, optical fiber analyzer, Picea abies, tracheid length
National Category
Wood Science Paper, Pulp and Fiber Technology
Identifiers
urn:nbn:se:umu:diva-127630 (URN)10.1515/hf-2015-0138 (DOI)000385808000004 ()
Projects
Bio4Energy
Available from: 2016-11-30 Created: 2016-11-16 Last updated: 2019-09-06Bibliographically approved
Hébert-Losier, K., Pini, A., Vantini, S., Strandberg, J., Abramowicz, K., Schelin, L. & Häger, C. (2015). One-leg hop kinematics 20years following anterior cruciate ligament rupture: Data revisited using functional data analysis. Clinical Biomechanics, 30(10), 1153-1161
Open this publication in new window or tab >>One-leg hop kinematics 20years following anterior cruciate ligament rupture: Data revisited using functional data analysis
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2015 (English)In: Clinical Biomechanics, ISSN 0268-0033, E-ISSN 1879-1271, Vol. 30, no 10, p. 1153-1161Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Despite interventions, anterior cruciate ligament ruptures can cause long-term deficits. To assist in identifying and treating deficiencies, 3D-motion analysis is used for objectivizing data. Conventional statistics are commonly employed to analyze kinematics, reducing continuous data series to discrete variables. Conversely, functional data analysis considers the entire data series.

METHODS: Here, we employ functional data analysis to examine and compare the entire time-domain of knee-kinematic curves from one-leg hops between and within three groups. All subjects (n=95) were part of a long-term follow-up study involving anterior cruciate ligament ruptures treated ~20years ago conservatively with physiotherapy only or with reconstructive surgery and physiotherapy, and matched knee-healthy controls.

FINDINGS: Between-group differences (injured leg, treated groups; non-dominant leg, controls) were identified during the take-off and landing phases, and in the sagittal (flexion/extension) rather than coronal (abduction/adduction) and transverse (internal/external) planes. Overall, surgical and control groups demonstrated comparable knee-kinematic curves. However, compared to controls, the physiotherapy-only group exhibited less flexion during the take-off (0-55% of the normalized phase) and landing (44-73%) phase. Between-leg differences were absent in controls and the surgically treated group, but observed during the flight (4-22%, injured leg>flexion) and the landing (57-85%, injured leg<internal rotation) phases in the physiotherapy-only group.

INTERPRETATION: Functional data analysis identified specific functional knee-joint deviations from controls persisting 20years post anterior cruciate ligament rupture, especially when treated conservatively. This approach is suggested as a means for comprehensively analyzing complex movements, adding to previous analyses.

National Category
Physiotherapy
Identifiers
urn:nbn:se:umu:diva-111923 (URN)10.1016/j.clinbiomech.2015.08.010 (DOI)000366790400022 ()26365484 (PubMedID)2-s2.0-84941709869 (Scopus ID)
Available from: 2015-11-26 Created: 2015-11-26 Last updated: 2018-06-07Bibliographically approved
Abramowicz, K. & Seleznjev, O. (2015). Stratified Monte Carlo quadrature for continuous random fields. Methodology and Computing in Applied Probability, 17(1), 59-72
Open this publication in new window or tab >>Stratified Monte Carlo quadrature for continuous random fields
2015 (English)In: Methodology and Computing in Applied Probability, ISSN 1387-5841, E-ISSN 1573-7713, Vol. 17, no 1, p. 59-72Article in journal (Refereed) Published
Abstract [en]

We consider the problem of numerical approximation of integrals of random fields over a unit hypercube. We use a stratified Monte Carlo quadrature and measure the approximation performance by the mean squared error. The quadrature is defined by a finite number of stratified randomly chosen observations with the partition generated by a rectangular grid (or design). We study the class of locally stationary random fields whose local behavior is like a fractional Brownian field in the mean square sense and find the asymptotic approximation accuracy for a sequence of designs for large number of the observations. For the H¨older class of random functions, we provide an upper bound for the approximation error. Additionally, for a certain class of isotropic random functions with an isolated singularity at the origin, we construct a sequence of designs eliminating the effect of the singularity point.

Place, publisher, year, edition, pages
New York: Springer Science+Business Media B.V., 2015
Keywords
numerical integration, random field, sampling design, stratified sampling, Monte Carlo methods
National Category
Probability Theory and Statistics
Research subject
Mathematical Statistics
Identifiers
urn:nbn:se:umu:diva-60994 (URN)10.1007/s11009-013-9347-6 (DOI)000349406400005 ()
Available from: 2012-11-06 Created: 2012-11-06 Last updated: 2018-06-08Bibliographically approved
Abramowicz, K., Häger, C., Hérbert-Losier, K., Pini, A., Schelin, L., Strandberg, J. & Vantini, S. (2014). An inferential framework for domain selection in functional anova. In: Bongiorno, E.G., Salinelli, E., Goia, A., Vieu, P (Ed.), Contributions in infinite-dimensional statistics and related topics: . Paper presented at IWFOS, Stresa, June 19-21, 2014. Esculapio
Open this publication in new window or tab >>An inferential framework for domain selection in functional anova
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2014 (English)In: Contributions in infinite-dimensional statistics and related topics / [ed] Bongiorno, E.G., Salinelli, E., Goia, A., Vieu, P, Esculapio , 2014Conference paper, Published paper (Refereed)
Abstract [en]

We present a procedure for performing an ANOVA test on functional data, including pairwise group comparisons. in a Scheff´e-like perspective. The test is based on the Interval Testing Procedure, and it selects intervals where the groups significantly differ. The procedure is applied on the 3D kinematic motion of the knee joint collected during a functional task (one leg hop) performed by three groups of individuals.

Place, publisher, year, edition, pages
Esculapio, 2014
National Category
Probability Theory and Statistics
Research subject
Statistics; Physiotherapy; Mathematical Statistics
Identifiers
urn:nbn:se:umu:diva-108843 (URN)10.15651/978-88-748-8763-7 (DOI)9788874887637 (ISBN)
Conference
IWFOS, Stresa, June 19-21, 2014
Available from: 2015-09-16 Created: 2015-09-16 Last updated: 2019-06-25Bibliographically approved
Abramowicz, K., Arnqvist, P., Sjöstedt de Luna, S., Secchi, P., Vantini, S. & Vitelli, V. (2014). Was it snowing on lake Kassjön in January 4486 BC? Functional data analysis of sediment data. In: : . Paper presented at The Third International Workshop on Functional and Operatorial Statistics (IWFOS 2014), Stresa, Italy, June 2014..
Open this publication in new window or tab >>Was it snowing on lake Kassjön in January 4486 BC? Functional data analysis of sediment data
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2014 (English)Conference paper, Oral presentation only (Other academic)
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:umu:diva-125048 (URN)
Conference
The Third International Workshop on Functional and Operatorial Statistics (IWFOS 2014), Stresa, Italy, June 2014.
Available from: 2016-09-04 Created: 2016-09-04 Last updated: 2019-06-19Bibliographically approved
Abramowicz, K. & Seleznjev, O. (2013). Piecewise multilinear interpolation of a random field. Advances in Applied Probability, 45(4), 945-959
Open this publication in new window or tab >>Piecewise multilinear interpolation of a random field
2013 (English)In: Advances in Applied Probability, ISSN 0001-8678, E-ISSN 1475-6064, Vol. 45, no 4, p. 945-959Article in journal (Refereed) Published
Abstract [en]

We consider a piecewise-multilinear interpolation of a continuous random field on a d-dimensional cube. The approximation performance is measured using the integrated mean square error. Piecewise-multilinear interpolator is defined by N-field observations on a locations grid (or design). We investigate the class of locally stationary random fields whose local behavior is like a fractional Brownian field, in the mean square sense, and find the asymptotic approximation accuracy for a sequence of designs for large N. Moreover, for certain classes of continuous and continuously differentiable fields, we provide the upper bound for the approximation accuracy in the uniform mean square norm.

Keywords
Approximation, random field, piecewise-multilinear interpolator, sampling design
National Category
Probability Theory and Statistics
Research subject
Mathematical Statistics
Identifiers
urn:nbn:se:umu:diva-81408 (URN)10.1239/aap/1386857852 (DOI)000330201100004 ()
Funder
Swedish Research Council, 2009-4489
Available from: 2013-10-09 Created: 2013-10-09 Last updated: 2018-06-08Bibliographically approved
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