Dendroclimatic signals in the pine and spruce chronologies in the Solovetsky Archipelago |
| |
| Institution: | 1. Beijing Key Laboratory of Traditional Chinese Medicine Protection and Utilization, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;2. College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, China;3. Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9FE, UK;1. Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;2. Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China;3. Division of Forestry and Natural Resources, West Virginia University, 322 Percival Hall, PO Box 6125, Morgantown, WV 26506, United States;1. College of Forestry, Beijing Forestry University, Beijing 100083, PR China;2. Ordos Forestry and Grassland Development Center, Ordos 017000, China;1. Jan Evangelista Purkyně University, Faculty of Environment, Department of Environment, Pasteurova 15, 400 96 Ústí n. Labem, Czech Republic;2. Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Kamýcká 129, Suchdol, 165 00 Praha 6, Czech Republic;3. Czech Academy of Sciences, Institute of Botany, Dukelská 135, T?eboň 379 01, Czech Republic;1. Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, 723 Xingke Road, Tianhe District, Guangzhou 510650, China;2. University of Chinese Academy of Sciences, 19(A) Yuquan Road, Shijingshan District, Beijing 100049, China;3. Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, College of Life Sciences, Zhejiang University, Hangzhou, China;4. Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, China;1. Universidade de São Paulo, Escola Superior de Agricultura Luiz de Queiroz, Department of Forest Resource, Av. Pádua Dias No 11, Piracicaba, São Paulo 13418-900, Brazil;2. Department of Plant Biology, Institute of Biology, University of Campinas – UNICAMP, Campinas, São Paulo 13083-970, Brazil;3. Argentine Institute of Nivology, Glaciology and Environmental Sciences (IANIGLA), CONICET-Universidad Nacional de Cuyo, Mendoza 5500, Argentina;4. Hémera Centro de Observación de la Tierra, Escuela de Ingeniería Forestal, Facultad de Ciencias, Universidad Mayor, Santiago 8580745, Chile |
| |
| Abstract: | Searching for a robust tree-ring parameter useful for paleoclimatic purposes is one of the most demanding topics in the modern paleoscience. Since Blue Intensity has already expressed itself in different geographical locations all over the world as a possible replacement for maximum density, close attention is paid to investigate features of the inferred signal. The Solovki Islands is a unique location in Northern Russia where two important factors that make this territory attractive for developing a long tree-ring chronology have been met: modern long-living trees and building activities using old trees that were started by monks in the middle of the 16th century. The main goal of the research is to develop pine and spruce chronologies based on tree-ring width (TRW) and delta Blue Intensity (dBI) and to assess the ability of these parameters to be used as climate predictors. As a result, 14 conifer chronologies from 7 sites (4 for pine and 3 for spruce) were developed. The composite pine and spruce chronologies span a period of 474 and 378 years each. Cross-correlation of dBI-based chronologies of both conifers is high (r = up to 0.71 while for TRW-based chronologies it is lower on average (?0.18 to 0.63). Intra-species correlation of TRW chronologies in some cases achieved even negative values (r = ?0.18. Discrepancies found between TRW chronologies of pine and spruce could be explained by differences in climatic signals. Response function analysis with monthly temperatures revealed that growth of pine depends on the previous August, while spruce has a temporally stable and strong relation to June temperatures. Compared to TRW, dBI-based chronologies have a high correlation with summer temperatures (r = 0.64 and 0.66 for spruce and pine, respectively). Presented research points out the importance of the response function analysis suggesting that depending on goals of the study several tree-ring parameters could be used, e.g., tree-ring width of spruce responses to June temperatures, while dBI to the whole summer. |
| |
| Keywords: | Delta Blue Intensity Tree-ring width Response climate analysis Pine Spruce Solovki Islands |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
