Inconsistent response times to precipitation and soil moisture in Picea crassifolia growth |
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| Affiliation: | 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. Department of Environmental, Biological, Pharmaceutical Sciences and Technologies, University of Campania “Luigi Vanvitelli”, Via Vivaldi 43, 81100 Caserta, Italy;2. The Earth Institute, Tree-ring Laboratory, Lamont-Doherty Earth Observatory of Columbia University, New York 10964, United States of America;3. Department of Agricultural Sciences, University of Naples Federico II, via Università 100, 80055, Portici, Italy;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. Visser Statistical Research, Arnhem, the Netherlands;2. Chair of Forest Growth and Woody Biomass Production, TU Dresden, Tharandt, Germany;1. Institute of Ecology and Evolution, University of Jena, Jena, Germany;2. Chair of Forest Growth and Woody Biomass Production, TU Dresden, Tharandt, Germany;1. CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Pólo dos Açores, Universidade dos Açores, Campus de Ponta Delgada, Rua da Mãe de Deus, 9500-321 Ponta Delgada, Açores, Portugal;2. Faculty of Sciences and Technology, University of the Azores, Campus de Ponta Delgada, Rua da Mãe de Deus, 9500-321 Ponta Delgada, Portugal;3. BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal;4. Department of Ecology and Ecosystem Management, Technical University of Munich, Germany;5. Department for Forest and Landscape Planning and Monitoring, Slovenian Forestry Institute, Slovenia;6. Avans University of Applied Sciences, Environmental Sciences for Sustainable Energy and Technology, Postbus 90.116, 4800 RA Breda, the Netherlands;7. cE3c, Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE – Global Change and Sustainability Institute, Faculty of Agricultural and Environmental Sciences, University of the Azores, Rua Capitão João d´Ávila, Pico da Urze, 9700-042 Angra do Heroísmo, Portugal |
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| Abstract: | Quantifying the effects of environmental variables on radial growth has real significance for reasonably predicting the impacts of environmental changes on tree dynamics. This study used Picea crassifolia, a widely distributed dominant evergreen coniferous tree species found on the north-eastern fringe of the Tibetan Plateau, as a case study to analyse the associations of radial growth with environmental variables during 1960–2018 using a correlation analysis and sliding correlation analysis. The responses of radial growth to different moisture conditions were further quantitatively evaluated through the generalised linear model and relative dominance analysis. The results show that the radial growth of P. crassifolia is mainly influenced by moisture conditions in the study area. Specifically, the response times of P. crassifolia radial growth to soil moisture and precipitation differ, as radial growth has a significant positive correlation with precipitation in the early growth period. Notably, radial growth has a remarkable and stable correlation with soil moisture in the autumn and winter seasons of the previous year. This study provides a theoretical foundation and scientific grounds for analysing the response of Tibetan Plateau forests to climate change and can act as a reference for future research on the response of radial growth to soil moisture in alpine regions. |
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| Keywords: | Radial growth Soil moisture Precipitation Relative dominance analysis |
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