• Title/Summary/Keyword: PHENOLOGY

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The Plants for Phenology of the Mt. JuWang National Park (주왕산국립공원 식물종의 생물계절성)

  • Kang, Shin-Koo;Kim, Byung-Do;Shin, Hyun-Tak;Park, Ki-Hwan;Yi, Myung-Hoon;Yoon, Jung-Won;Sung, Jung-Won;Kim, Gi-Song
    • Journal of Forest and Environmental Science
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    • v.28 no.4
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    • pp.247-253
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    • 2012
  • The purpose of this study was to conduct phenology monitoring of forest plant species in Mt. JuWang National Park, thereby establish long-term prediction and management system for species susceptible to climate change, and utilize the result as basic materials necessary for conservation of plant genetic resources in accordance with changes in their growth environment. Global Positioning System coordinates were marked on each indicator species and a specific number ticket was provided to each plant. Changes in their blooming time, time of blossoms falling, time of leaves bursting into life, and time of leaves turning, and time of leaves falling were recorded. Investigation was made once per week from April 10 in 2010 to November 30 in 2011 except for the time period between July and August when investigation was made biweekly. The investigated plants concerned 12 kinds-nine species of trees and three kinds of herbs. According to the result of the penology monitoring of Mt. JuWang National Park, their time of leaves bursting into life, time of leaves turning, and time of leaves falling were largely earlier in 2011 than in 2010. However, it is hard to say that it is due to the factor of climate change. Long-term collection of climate data and continuous monitoring of plant phenology are considered necessary in order to examine correlation between climate change and seasonal change patterns of plants.

An Improved Method for Phenology Model Parameterization Using Sequential Optimization (순차적인 최적화 기법에 의한 생물계절모형 모수추정 방식 개선)

  • Yun, Kyungdahm;Kim, Soo-Hyung
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.16 no.4
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    • pp.304-308
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    • 2014
  • Accurate prediction of peak bloom dates (PBD) of flowering cherry trees is critical for organizing local cherry festivals and other associated cultural and economic activities. A two-step phenology model is commonly used for predicting flowering time depending on local temperatures as a result of two consecutive steps followed by chill and heat accumulations. However, an extensive computation requirement for parameter estimation has been a limitation for its practical use. We propose a sequential parameterization method by exploiting previously unused records of development stages. With an extra constraint formed by heat accumulation between two intervening stages, each parameter can then be solved sequentially in much shorter time than the brute-force method. The result was found to be almost identical to the previous solution known for cherry trees (Prunus ${\times}$ yedoensis) in the Tidal Basin, Washington D.C.

Growth Phenology of various Tree Modules in Pinus koraiensis S. et Z. Plantation (잣나무림(林)에서 임목(林木) 생장(生長) 모듈들의 계절적(季節的) 생육반응(生育反應))

  • Shin, Joon Hwan;Lee, Don Koo
    • Journal of Korean Society of Forest Science
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    • v.79 no.4
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    • pp.431-434
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    • 1990
  • The growth pattern of bud-shoot-needle of isolated 15-year-old trees, and seansonal changes in litter-falls and fine root dry weights in the unthinned 28-year-old plantation were investigated to understand the growth phenology of Pinus koraiensis. Shoot growth was continued by 7th June when buds appeared, while current needle growth was by 19th July when the bud growth started. Most of the litter-falls occurred in October but many of them were fallen in July and August due to storms, Fine roots were produced mostly in autumn(1,004 kg/ha), and were dead during winter (583 kg/ha) and spring(1,331 kg/ha).

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A Comparative Study of Vegetation Phenology Using High-resolution Sentinel-2 Imagery and Topographically Corrected Vegetation Index (고해상도 Sentinel-2 위성 자료와 지형효과를 고려한 식생지수 기반의 산림 식생 생장패턴 비교)

  • Seungheon Yoo;Sungchan Jeong
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.26 no.2
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    • pp.89-102
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    • 2024
  • Land Surface Phenology (LSP) plays a crucial role in understanding vegetation dynamics. The near-infrared reflectance of vegetation (NIRv) has been increasingly adopted in LSP studies, being recognized as a robust proxy for gross primary production (GPP). However, NIR v is sensitive to the terrain effects in mountainous areas due to artifacts in NIR reflectance cannot be canceled out. Because of this, estimating phenological metrics in mountainous regions have a substantial uncertainty, especially in the end of season (EOS). The topographically corrected NIRv (TCNIRv) employs the path length correction (PLC) method, which was deduced from the simplification of the radiative transfer equation, to alleviate limitations related to the terrain effects. TCNIRv has been demonstrated to estimate phenology metrics more accurately than NIRv, especially exhibiting improved estimation of EOS. As the topographic effect is significantly influenced by terrain properties such as slope and aspect, our study compared phenology metrics estimations between south-facing slopes (SFS) and north-facing slopes (NFS) using NIRv and TCNIRv in two distinct mountainous regions: Gwangneung Forest (GF) and Odaesan National Park (ONP), representing relatively flat and rugged areas, respectively. The results indicated that TCNIR v-derived EOS at NFS occurred later than that at SFS for both study sites (GF : DOY 266.8/268.3 at SFS/NFS; ONP : DOY 262.0/264.8 at SFS/NFS), in contrast to the results obtained with NIRv (GF : DOY 270.3/265.5 at SFS/NFS; ONP : DOY 265.0/261.8 at SFS/NFS). Additionally, the gap between SFS and NFS diminished after topographic correction (GF : DOY 270.3/265.5 at SFS/NFS; ONP : DOY 265.0/261.8 at SFS/NFS). We conclude that TCNIRv exhibits discrepancy with NIR v in EOS detection considering slope orientation. Our findings underscore the necessity of topographic correction in estimating photosynthetic phenology, considering slope orientation, especially in diverse terrain conditions.

Analysis of the MODIS-Based Vegetation Phenology Using the HANTS Algorithm (HANTS 알고리즘을 이용한 MODIS 영상기반의 식물계절 분석)

  • Choi, Chul-Hyun;Jung, Sung-Gwan
    • Journal of the Korean Association of Geographic Information Studies
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    • v.17 no.3
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    • pp.20-38
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    • 2014
  • Vegetation phenology is the most important indicator of ecosystem response to climate change. Therefore it is necessary to continuously monitor forest phenology. This paper analyzes the phenological characteristics of forests in South Korea using the MODIS vegetation index with error from clouds or other sources removed using the HANTS algorithm. After using the HANTS algorithm to reduce the noise of the satellite-based vegetation index data, we were able to confirm that phenological transition dates varied strongly with altitudinal gradients. The dates of the start of the growing season, end of the growing season and the length of the growing season were estimated to vary by +0.71day/100m, -1.33day/100m and -2.04day/100m in needleleaf forests, +1.50day/100m, -1.54day/100m and -3.04day/100m in broadleaf forests, +1.39day/100m, -2.04day/100m and -3.43day/100m in mixed forests. We found a linear pattern of variation in response to altitudinal gradients that was related to air temperature. We also found that broadleaf forests are more sensitive to temperature changes compared to needleleaf forests.

Relationship with the Phenology of Cherry Blossoms and Associated Festival : Case of Changwon Jinhae Gunhangje (벚나무의 계절현상과 이를 이용한 지역축제와의 관계 - 창원시 진해 군항제 사례 -)

  • Do, Yuno;Kim, Seong-Bo;Joo, Gea-Jae;Choi, Kee-Ryong
    • Journal of the Korean association of regional geographers
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    • v.19 no.3
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    • pp.446-453
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    • 2013
  • Festivals using plant phenology is one of the examples can represent the ecosystem services. Changwon Jinhae Gunhangje is typical spring festival using cherry blossoms phenology. This research was done to define relationship between flowering of cherry blossoms and Gunhangje. Phenological data (Julian day) of cherry blossoms and visitor number of Gunhangje from 1987 to 2013 were collected. Differences of Phenological phase of cherry blossoms and duration of Gunhangje was analyzed. Trend analysis was performed to know changes of flowering and budding day of cherry blossoms. Correlations between visitor number of Gunhangje and environmental factors was defined by factor analysis and regression analysis. Results are showed that during the 26 years, periodicity of flowering and budding day was not identified or even identified it was not significant. Environmental factors effect on visitor numbers of Gunhangje were defined as temperature factor, day factor, and precipitation factor. Temperature factor was significantly correlated with visitor numbers of Gunhangje. Though Flowering day of cherry blossoms and festival duration was not matched, however, difference of visitor numbers was not showed. These results suggest that fixed duration of Gunhangje would be more effective to visitors than changing the festival duration following the phenological day changes of cherry blossoms.

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