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  • 1
    Keywords: Plant Ecology. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (355 pages)
    Edition: 1st ed.
    ISBN: 9789401775496
    Series Statement: Biometeorology Series
    DDC: 577.2209152
    Language: English
    Note: Intro -- Preface -- Contents -- Chapter 1: Climatic Adaptation of Boreal and Temperate Tree Species -- 1.1 Thermal Conditions in the Boreal and the Temperate Zone -- 1.1.1 Seasonal and Geographical Variation -- 1.1.2 Year-to-Year Variation -- 1.2 Night Length in the Boreal and the Temperate Zone -- 1.3 The Annual Cycle as an Adaptive Strategy -- 1.4 Organisation of the Book -- References -- Chapter 2: Dynamic Modelling of the Annual Cycle -- 2.1 A Hypothetico-Deductive Modelling Framework -- 2.2 Basic Concepts -- 2.3 The Modelling Principle -- 2.4 Model Realism and the Discipline of Whole-Tree Ecophysiology -- 2.5 Summary -- List of Symbols -- Time-Dependent Environmental Variables -- Time-Dependent Rate and State Variables -- Model Parameters -- Other Symbols -- References -- Chapter 3: The Annual Phenological Cycle -- 3.1 The Phenomena, the Observations, and the Measurements Involved -- 3.1.1 Tree Phenology: The Study of the Timing of Seasonal Point Events -- 3.1.1.1 The Concept of Phenology -- 3.1.1.2 Point Events Frequently Addressed in Modelling Studies -- 3.1.1.3 Large Temporal and Spatial Scales -- 3.1.2 The Anatomical and Physiological Basis -- 3.1.3 Implications for Modelling -- 3.2 Direct Environmental Regulation of Spring Phenology -- 3.2.1 The High Temperature Requirement -- 3.2.1.1 Day Degree Models -- 3.2.1.2 Ecophysiological Explication of the Day Degree Models -- 3.2.1.3 Experimental Studies -- 3.2.1.4 Introducing the Experimental Results into the Modelling -- 3.2.1.5 Effects of Fluctuating Temperatures -- 3.2.2 The Unique Role of Air Temperature in Comparison with Other Environmental Factors -- 3.3 Dormancy in the Buds -- 3.3.1 The Nomenclature for Dormancy -- 3.3.1.1 Three Categories of Dormancy -- 3.3.1.2 Vegis´s Theory and the Post-Rest Model -- 3.3.2 The Chilling Requirement of Rest Completion -- 3.3.2.1 Experimental Studies. , 3.3.2.2 Introducing the Experimental Results into the Modelling -- 3.3.3 Effects of Night Length on Rest Break -- 3.4 Overall Environmental Regulation of Spring Phenology -- 3.4.1 Synthesizing the Effects of Chilling and Those of High Temperatures -- 3.4.1.1 A Generalised Model for Growth Onset -- 3.4.1.2 Predictions for Model Testing -- 3.4.1.3 Comparison of the Parallel and the Post-Rest Model -- 3.4.2 Effects of Night Length -- 3.4.3 Effects of Other Environmental Factors -- 3.4.4 The Paradox of Rest Completion -- 3.4.4.1 Contradictory Findings Concerning Rest Completion -- 3.4.4.2 Attempts to Resolve the Paradox -- 3.4.5 Quantitative Dormancy Induction -- 3.4.6 Alternative Modelling Approaches -- 3.4.6.1 Ecophysiological, Phenological, and Intermediate Approach -- 3.4.6.2 Mechanistic Models -- 3.4.6.3 The Unified Model of Growth Onset -- 3.4.6.4 The DORMPHOT Model of Growth Onset -- 3.4.6.5 The Alternating Model of Growth Onset -- 3.5 Environmental Regulation of Height Growth Cessation -- 3.5.1 The Autonomous Theory and the Signal Theory -- 3.5.2 The Effects of Night Length -- 3.5.3 The Effects of Air Temperature -- 3.5.3.1 The Cumulative Effect of Air Temperature and Its Joint Effect with Night Length -- 3.5.3.2 Further Effects of Air Temperature -- 3.6 Modelling the Entire Annual Phenological Cycle -- 3.6.1 Sarvas´s (1972, 1974) Model -- 3.6.2 Kellomäki et al.´s (1992, 1995) Model -- 3.6.3 Fuchigami et al.´s (1982) GS Model -- 3.6.4 Comparison of the Models and Their Further Use as Sub-models -- 3.7 Summary -- List of Symbols -- Time-Dependent Environmental Variables -- Time-Dependent Rate and State Variables -- Ontogenetic Development -- Rest Break -- Development During Growing Season -- Variable Mediating the Effect of Rest Break on the Ontogenetic Development -- Model Parameters -- Ontogenetic Development -- Rest Break -- Other Symbols. , Ontogenetic Development -- Rest Break -- Variables for a Regrowth Test -- References -- Chapter 4: The Annual Cycle of Photosynthesis in Evergreen Conifers -- 4.1 The Phenomena and the Measurements Involved -- 4.1.1 Measuring the Carbon Dioxide Exchange -- 4.1.1.1 The Leaf, Shoot, and Plant Level -- 4.1.1.2 The Ecosystem Level -- 4.1.2 The Annual Cycle of Photosynthetic Capacity -- 4.1.2.1 Photosynthetic Capacity as a Whole-Tree Attribute of Conifer Ecophysiology -- 4.1.2.2 The Physiological Basis -- 4.1.3 Implications for Modelling -- 4.2 Effects of Air Temperature -- 4.2.1 Fluctuating Effects of Air Temperature -- 4.2.1.1 A Fluctuating Model of Photosynthetic Capacity -- 4.2.1.2 Further Development of the Model -- 4.2.1.3 Contradictory Evidence from Wintertime Photosynthesis -- 4.2.2 Effects of Frost -- 4.3 Effects of Other Environmental Factors -- 4.3.1 Effects of Light and Improving the Realism of the Models -- 4.3.2 Effects of Soil Temperature and Ground Frost -- 4.4 Year-to-Year Variation in the Recovery of Photosynthesis -- 4.5 Summary -- List of Symbols -- Time-Dependent Environmental Variables -- Time-Dependent Rate and State Variables -- Model Parameters -- Other Symbols -- References -- Chapter 5: The Annual Cycle of Frost Hardiness -- 5.1 The Phenomena and the Measurements Involved -- 5.1.1 Frost Hardiness as a Whole-Tree Attribute of Tree Ecophysiology -- 5.1.2 Methods for Assessing Frost Hardiness -- 5.1.3 Implications for Modelling -- 5.2 Direct Environmental Regulation of Frost Hardiness -- 5.2.1 Fluctuating Effects of Air Temperature -- 5.2.1.1 A Fluctuating Model of Frost Hardiness -- 5.2.1.2 Comparisons with Photosynthetic Capacity and Other Physiological Attributes -- 5.2.2 Combined Effects of Air Temperature and Night Length -- 5.3 Overall Environmental Regulation of Frost Hardiness. , 5.3.1 Changing Environmental Responses During the Annual Cycle -- 5.3.2 Integrated Models of Frost Hardiness -- 5.3.2.1 Historical Overview -- 5.3.2.2 Kellomäki et al.´s (1992, 1995) Integrated Model -- 5.3.2.3 Leinonen´s (1996a) Integrated Model -- 5.3.2.4 Predictions of Leinonen´s (1996a) Model -- 5.3.2.5 The Realism and Future Development of the Models -- 5.4 Year-to-Year Variation in Frost Hardiness and Damage -- 5.5 Summary -- List of Symbols -- Time-Dependent Environmental Variables -- Time-Dependent Rate and State Variables -- Auxiliary Frost Hardiness Variables -- Variable Mediating the Effects on the Annual Phenological Cycle on Frost Hardiness -- Model Parameters -- References -- Chapter 6: Evolutionary Aspects of the Annual Cycle -- 6.1 Proximate and Ultimate Causes for Tree Seasonality -- 6.2 The Trade-Off Between Survival and Growth -- 6.2.1 Survival Adaptation and Capacity Adaptation -- 6.2.2 The Timing of Growth Onset -- 6.2.3 The Timing of Growth Cessation -- 6.3 Differences Among Tree Provenances -- 6.3.1 An Ecophysiological Approach to Genetic Differences -- 6.3.2 Tree Development in Spring and Early Summer -- 6.3.2.1 Linsser´s Principle -- 6.3.2.2 Computational Examination of the Effect of Natural Selection on Hcrit -- 6.3.3 Tree Development in Late Summer and Early Autumn -- 6.3.4 Tree Development in Late Autumn and Winter -- 6.4 Differences Among Tree Species Under the Same Climatic Conditions -- 6.5 Effects of the Maternal Environment -- 6.6 Modelling Evolutionary Change in Tree Populations -- 6.7 Summary -- List of Symbols -- Time-Dependent Environmental Variables -- Other Environmental Variables -- Time-Dependent Model Variables -- Other Model Variables -- Model Parameters -- Other Symbols -- References -- Chapter 7: Upscaling to Higher Levels of Organisation -- 7.1 Upscaling to the Stand and the Ecosystem Level. , 7.1.1 The Principle of Upscaling -- 7.1.2 The Seasonality of Photosynthesis and Forest Productivity -- 7.2 Upscaling to the Continental and the Global Level -- 7.2.1 Modelling the Geographical Ranges of Tree Species -- 7.2.2 Dynamic Global Vegetation Models -- 7.3 Summary -- References -- Chapter 8: The Annual Cycle Under Changing Climatic Conditions -- 8.1 Climatic Scenarios for Ecologists -- 8.2 Methods for Assessing the Ecological Effects of Climate Change -- 8.2.1 Paleoecological and Dendrochronological Methods -- 8.2.2 Empirical Methods -- 8.2.2.1 An Ideal Empirical Method for Reference Purposes -- 8.2.2.2 Field Observations in Natural Conditions -- 8.2.2.3 Long-Term Field Trials with Transferred Trees -- 8.2.2.4 Experiments in Controlled Conditions -- 8.2.3 Numerical Methods -- 8.2.3.1 Computer Modelling in Ecological Scenario Studies -- 8.2.3.2 Climate Envelope Modelling -- 8.2.3.3 Process-Based Modelling -- 8.2.4 The Universal Principle of Ecological Scenario Studies -- 8.3 The Frost Damage Hypothesis -- 8.3.1 Deducing the Frost Damage Hypothesis -- 8.3.1.1 A Conceptual Frost Damage Hypothesis -- 8.3.1.2 The Frost Damage Hypothesis for Boreal Conditions -- 8.3.1.3 The Frost Damage Hypothesis for Temperate Conditions -- 8.3.2 Tests of the Frost Damage Hypothesis -- 8.3.2.1 Provenance Transfer Trials -- 8.3.2.2 Whole-Tree Chamber Experiments -- 8.3.2.3 Findings from Observational Studies -- 8.3.3 Ecophysiological Traits Critical for the Frost Damage Hypothesis -- 8.3.3.1 Model Comparisons to Identify the Critical Traits -- 8.3.3.2 The Air Temperature Response of the Rate of Ontogenetic Development -- 8.3.3.3 Rest Completion -- 8.3.3.4 The Phase of Post-Rest -- 8.3.3.5 A Comparison of the Three Critical Traits -- 8.3.3.6 Long-Term Phenomena Calling for New Modelling Principles -- 8.3.3.7 Experimental Designs for the Critical Traits. , 8.4 Effects on the Seasonality of Growth.
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  • 2
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: The timing of the commencement of photosynthesis (P*) in spring is an important determinant of growing-season length and thus of the productivity of boreal forests. Although controlled experiments have shed light on environmental mechanisms triggering release from photoinhibition after winter, quantitative research for trees growing naturally in the field is scarce. In this study, we investigated the environmental cues initiating the spring recovery of boreal coniferous forest ecosystems under field conditions. We used meteorological data and above-canopy eddy covariance measurements of the net ecosystem CO2 exchange (NEE) from five field stations located in northern and southern Finland, northern and southern Sweden, and central Siberia. The within- and intersite variability for P* was large, 30–60 days. Of the different climate variables examined, air temperature emerged as the best predictor for P* in spring. We also found that ‘soil thaw’, defined as the time when near-surface soil temperature rapidly increases above 0°C, is not a useful criterion for P*. In one case, photosynthesis commenced 1.5 months before soil temperatures increased significantly above 0°C. At most sites, we were able to determine a threshold for air-temperature-related variables, the exceeding of which was required for P*. A 5-day running-average temperature (T5) produced the best predictions, but a developmental-stage model (S) utilizing a modified temperature sum concept also worked well. But for both T5 and S, the threshold values varied from site to site, perhaps reflecting genetic differences among the stands or climate-induced differences in the physiological state of trees in late winter/early spring. Only at the warmest site, in southern Sweden, could we obtain no threshold values for T5 or S that could predict P* reliably. This suggests that although air temperature appears to be a good predictor for P* at high latitudes, there may be no unifying ecophysiological relationship applicable across the entire boreal zone.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1432-2285
    Keywords: Annual cycle of development ; Bud burst ; Chilling requirement ; Rest period ; Simulation models
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Notes: Summary Experiments designed to test three simulation models were used to study the effects of intermittent warm periods during the chilling period on dormancy release in 2-year-old seedlings of Pinus sylvestris L. and Picea abies (L.) Karst. The effect of the intermittent period varied according to its timing. Compared with corresponding continuous chilling treatments, the intermittent periods (1) after 1–3 weeks of chilling increased the proportion of the seedlings for which dormancy was subsequently released, and (2) after 4–7 weeks of chilling substantially diminished this proportion. The intermittent periods did not affect the time required for growth initiation in forcing conditions. These results support a simulation model with a strict end-point for the rest period. On the basis of the experimental results, division of the dormant period into three sub-periods is proposed.
    Type of Medium: Electronic Resource
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