Drivers of stem radial variation and its pattern in peatland Scots pines: A pilot study |
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| Institution: | 1. Tribhuvan University, Kathmandu, Nepal;2. WSL Swiss Federal Research Institute, CH-8903 Birmensdorf, Switzerland;1. Department of Earth Sciences, Pondicherry University, Puducherry 605014, India;2. Indian Institute of Tropical Meteorology, Pune, 411 008, India;3. Birbal Sahani Institute of Palaeobotany, Lucknow, 226 007, India;4. National Institute of Science Education and Research, Bhubaneswar, Odisha, 752050, India;5. Formerly at Physical Research Laboratory, Ahmedabad, India, 380009;1. Faculty of Forestry, Ștefan cel Mare University, Suceava, Romania;2. Institute for Geological and Geochemical Research, Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences, Budapest, Hungary;3. Stable Isotope Laboratory, Ștefan cel Mare University, Suceava, Romania;4. Departement of Geography, Johannes Gutenberg University, Mainz, Germany;5. Emil Racoviță Institute of Speleology, Romanian Academy, Cluj Napoca, Romania;6. Institute of Biology, Romanian Academy, Bucharest, Romania;7. Marin Dracea National Research and Development Institute for Silviculture, Câmpulung Moldovenesc, Romania;1. Instituto Pirenaico de Ecología (IPE-CSIC), Avda. Montañana 1005, 50059 Zaragoza, Spain;2. Departament d’Ecologia, Universitat de Barcelona, Avda. Diagonal 645, 08028 Barcelona, Spain;3. Instituto Boliviano de Investigación Forestal (IBIF), P.O. Box 6204, Santa Cruz de la Sierra, Bolivia;4. Jardín Botánico Juan María Céspedes (INCIVA), Avda. Roosevelt 24–80 (Piso 4), Cali, Colombia |
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| Abstract: | Dendrometers are useful tools to analyze intra-annual variation of radial growth in trees, but have rarely been applied in marginal environments. Our aim in this study was to explore stem radial variation (SRV) of Scots pines (Pinus sylvestris L.) growing in a marginal environment on top of a peatland and compare it with stem radial variation of Scots pines growing in a nearby forest. We compared high-resolution (30 min) tree-growth of the peatland and forest pines in two consecutive years in two ways. First, we modeled raw SRV using site and weather parameters as predictors, to determine if and in what way stem radial variation depends on the site type. Second, we split the SRV signal into sub-series of varying length to test for differences between the time-series pattern of peatland and forest SRV with clustering methods and classifier models. We found indications that site type is influencing raw stem radial variation as: 1) an intercept, i.e. forest trees tended to grow more than peatland trees (as expected); 2) an interaction factor with structural and weather parameters, i.e. response of the forest trees to changing environmental parameters was different than the response of the peatland trees. Conversely, with regard to the temporal pattern of the stem radial variation, we found that the conditions within one year, e.g. weather patterns, were more important than site conditions, especially at short time scales. However, with increasing length of the sub-series the relative accuracy of the classifier models increased. Our results indicate that the site type was important for the raw SRV (amplitude) but not for the SRV pattern, which might be important to consider when comparing intra-annual signals from multiple sites. |
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| Keywords: | Peatland Dendrometer Scots pine Stem radial variation Site type |
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