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14 results for “autumn phenology”
Modelled past autumn leaf phenology of deciduous trees
<p> </p> <p><span>Autumn leaf phenology (i.e. leaf colouring or leaf senescence) marks the end of the growing season, during which trees assimilate atmospheric CO<sub>2</sub>. Since autumn leaf phenology responds to climatic conditions, climate change affects the length of the growing season. Thus, autumn phenology is often modelled to assess possible climate change effects on future CO<sub>2</sub> mitigating capacities and species compositions of forests.</span></p> <p><span>Here, we give access to the entire dataset of modelled autumn phenology analyzed in Meier and Bigler (2023). The data was derived from >2.3 million model calibration runs according to 21 such models, 5 optimization algorithms, ≥7 sampling procedures, and 26 climate model chains from two representative concentration pathways. Calibration and validation were based on >45 000 observations for common beech (Fagus sylvatica L.), pedunculate oak (Quercus robur L.), and European larch (Larix decidua Mill.) from 500 Central European sites each.</span></p> <p><span>Cite as </span><span>Meier, M., & Bigler, C. (2023). Process-oriented models of autumn leaf phenology: Ways to sound calibration and implications of uncertain projections. <em>Geoscientific Model Development</em>, <em>16</em>(23), 7171–7201. https://doi.org/10.5194/gmd-16-7171-2023</span></p>
Projected future autumn leaf phenology of deciduous trees
<p><span>Autumn leaf phenology (i.e. leaf colouring or leaf senescence) marks the end of the growing season, during which trees assimilate atmospheric CO<sub>2</sub>. Since autumn leaf phenology responds to climatic conditions, climate change affects the length of the growing season. Thus, autumn phenology is often modelled to assess possible climate change effects on future CO<sub>2</sub> mitigating capacities and species compositions of forests.</span></p> <p><span>Here, we give access to the entire dataset of projected autumn phenology analyzed in Meier and Bigler (2023). The data was derived from different combinations of 21 process-oriented phenology models, 5 optimization algorithms, ≥7 sampling procedures, and 26 climate model chains from two representative concentration pathways. The dataset contains the average autumn phenology per site and for the years 2080-2099 according to each combination that led to a successful calibration. Calibration and validation were based on >45 000 observations for common beech (<em>Fagus sylvatica L.</em>), pedunculate oak (<em>Quercus robur L.</em>), and European larch (<em>Larix decidua Mill</em>.) from 500 Central European sites each.</span></p> <p><span>Cite as Meier, M., & Bigler, C. (2023). Process-oriented models of autumn leaf phenology: Ways to sound calibration and implications of uncertain projections. <em>Geoscientific Model Development</em>, 16(23), 7171–7201. https://doi.org/10.5194/gmd-16-7171-2023</span></p>
Late to bed, late to rise—Warmer autumn temperatures delay spring phenology by delaying dormancy
<p>Spring phenology of temperate forest trees has advanced substantially over the last decades due to climate warming, but this advancement is slowing down despite continuous temperature rise. The decline in spring advancement is often attributed to winter warming, which could reduce chilling and thus delay dormancy release. However, mechanistic evidence of a phenological response to warmer winter temperatures is missing. We aimed to understand the contrasting effects of warming on plants leaf phenology and to disentangle temperature effects during different seasons.</p> <p>With a series of monthly experimental warming by ca. 2.4 °C from late summer until spring, we quantified phenological responses of forest tree to warming for each month separately, using seedlings of four common European tree species. To reveal the underlying mechanism, we tracked the development of dormancy depth under ambient conditions as well as directly after each experimental warming. In addition, we quantified the temperature response of leaf senescence.</p> <p>As expected, warmer spring temperatures led to earlier leaf-out. The advancing effect of warming started already in January and increased towards the time of flushing, reaching 2.5 days/°C. Most interestingly, however, warming in October had the opposite effect and delayed spring phenology by 2.4 days/°C on average; despite six months between the warming and the flushing. The switch between the delaying and advancing effect occurred already in December. We conclude that not warmer winters but rather the shortening of winter, i.e. warming in autumn, is a major reason for the decline in spring phenology.</p>
Stimulation, reduction and compensation growth, and variable phenological responses to spring and/or summer-autumn warming in Corylus taxa and Cornus sanguinea L.
<p>Two datasets containing data from three Corylus taxa (Corylus avellana, Corylus maxima and intermediate forms) and from Cornus sanguinea. Plants, in a common garden setting, were subjected to a periodic warming experiment in a greenhouse environment in 2018. </p>
Late to bed, late to rise—Warmer autumn temperatures delay spring phenology by delaying dormancy
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Modelled past autumn leaf phenology of deciduous trees
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Projected future autumn leaf phenology of deciduous trees
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Data from: Spring and autumn phenology in an understorey herb are uncorrelated and driven by different factors
<p><strong>Premise:</strong> Climate warming has altered the start and end of growing seasons in temperate regions. Ultimately, these changes occur at the individual level, but little is known about how previous seasonal life history events, temperature, and plant resource state simultaneously influence the spring and autumn phenology of plant individuals.</p> <p><strong>Methods: </strong>We studied the relationships between the timing of leaf-out and shoot senescence over three years in a natural population of the long-lived understory herb <em>Lathyrus vernus</em> and investigated the effects of spring temperature, plant size, reproductive status and grazing on spring and autumn phenology.</p> <p><strong>Key results</strong>: The timing of leaf-out and senescence were consistent within individuals among years. Leaf-out and senescence were not correlated with each other within years. Larger plants both leafed out and senesced later, and there was no effect of size on growing season length. Reproductive plants leafed out earlier and had longer growing seasons than non-reproductive plants. Grazing had no detectable effects on phenology. Colder spring temperatures delayed senescence in two of three study years.</p> <p><strong>Conclusion: </strong>The timing of seasonal events, such as leaf-out and senescence in plants can be expressed largely independently within and among seasons and are influenced by different factors. Growing season start and length can often be condition-dependent and dependent on plant reproductive status. To more accurately predict species and community responses to environmental variation, knowledge about the drivers of growing season length of individuals is essential.</p>
Autumn phenology data in China for nitrogen deposition study
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Data from: Spring and autumn phenology in an understorey herb are uncorrelated and driven by different factors
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Data from: The forgotten season: the impact of autumn phenology on a specialist insect herbivore community on oak
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Landsat-derived Spring and Autumn Phenology, Eastern US - Canadian Forests, 1984-2013
This dataset provides Landsat phenology algorithm (LPA) derived start and end of growing seasons (SOS and EOS) at 500-m resolution for deciduous and mixed forest areas of 75 selected Landsat sidelap regions across the Eastern United States and Canada. The data are a 30-year time series (1984-2013) of derived spring and autumn phenology for forested areas of the Eastern Temperate Forest, Northern Forest, and Taiga ecoregions.
Dastaset for: "Rodriguez-Galiano, V.F., Sanchez-Castillo, M., Dash, J., Atkinson, P. and Ojeda-Zujar, J. (2016). Modelling interannual variation in the spring and autumn land surface phenology of the European forest, Biogeosciences, 13
<p>Dastaset for: "Rodriguez-Galiano, V.F., Sanchez-Castillo, M., Dash, J., Atkinson, P. and Ojeda-Zujar, J. (2016). Modelling interannual variation in the spring and autumn land surface phenology of the European forest, Biogeosciences, 13</p>
Marsh autumn phenology and climatic impacts in the Tibetan Plateau
<p>Vegetation autumn phenology (EOS) of marshes and its response to climate change in the Tibetan Plateau.</p>
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