Comparing automatically generated and manually measured tree-ring transects of growth trends with Hawaiian sandalwood as an example species |
| |
| Institution: | 1. Department of Geological and Environmental Sciences, 400 W. First St., Chico, CA, 95929–0205, USA;2. Department of Mathematics, Sacramento City College, 3835 Freeport Boulevard, Sacramento, CA, 95822, USA;1. Department of Physics, University of California, Santa Barbara, CA 93106, United States;2. Department of Earth, Planetary, and Space Sciences, University of California, Los Angeles, CA 93005, United States;3. Department of Physics and Astronomy, University of California, Los Angeles, CA 90095, United States;4. Department of Earth, Environmental, and Planetary Sciences, Case Western Reserve University, Cleveland, OH 44106, United States;5. Department of Terrestrial Magnetism, Carnegie Institution of Washington, Washington, DC 20015, United States;6. Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY 10964, United States;1. Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China;2. CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China;3. University of Chinese Academy of Sciences, Beijing, School of Science, Beijing 100049, China;4. South-East Tibetan Plateau Station for Integrated Observation and Research of Alpine Environment, Chinese Academy of Sciences, Nyingchi 860119, China;1. Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina, 655017, Abakan, Russia;2. Siberian Federal University, 79 Svobodny, 660041, Krasnoyarsk, Russia;3. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, 50/28 Akademgorodok, 660036, Krasnoyarsk, Russia;1. Center for Ecological Research, Northeast Forestry University, Harbin, 150040, China;2. Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, Northeast Forestry University, Harbin, 150040, China;3. Heilongjiang Institute of Meteorological Science, Harbin, 150030, China;4. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China;5. Key Lab of Forest Ecology and Environment, State Forestry Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, 100091, China;6. Department of Life Science, Henan University, Kaifeng, 475001, China;1. Charles University, Faculty of Science, Department of Physical Geography and Geoecology, Albertov 6, 12843 Prague, Czech Republic;2. The Silva Tarouca Research Institute for Landscape & Ornamental Gardening, Department of Forest Ecology, Lidicka 25-27, 60200 Brno, Czech Republic |
| |
| Abstract: | Tree-ring measurements are a primary quantitative tool used in numerous scientific disciplines. Some species, however, exhibit morphological complexities leading to significant uncertainty in these measurements. Hawaiian Sandalwood (Santalum paniculatum) stems, for example, often develop asymmetric growth features that hinder tree-ring measurements. These features include faint-ring boundaries and wedging rings which disappear in portions of the cross-section. In this work we a use a novel two-dimensional transect methodology and our own open-source software, svg-dendro, to analyze particularly difficult cross-sections. Our method accomplishes this by first tracing all rings by hand and automatically generating a user-specified number of transects. On average, these traced measurements had more sensitivity to tree-ring variability without losing important equivalencies with the traditional binocular stereomicroscope technique (e.g., radii, skewness) as indicated by greater mean variance for ring number, mean tree-ring width, and standard deviation. All S. paniculatum samples had ring wedging, where certain sides of the stem had many locally absent tree rings but to different intensities. The new technique allows us to analyze the shift from complete rings with little to no wedging to rings with more wedging starting between the 19th and 40th ring, where deep stem lobes begin forming. The new method also reveals the difficulty in measuring these trees, as the wedging creates multiple lobes with different visible ring counts. This research suggests that this two-dimensional methodology would be best applied to non-circular trees with fewer incomplete rings, supporting the importance of species and population selection. Overall, we have developed an efficient and flexible means to measure otherwise unmeasurable growth features in tree samples through representing tree-ring boundaries as curves and developing software to sort and map transects. |
| |
| Keywords: | Tree-ring measurement techniques Tree-ring tracing Tropical dendrochronology |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
