Journal of Agricultural Meteorology
Online ISSN : 1881-0136
Print ISSN : 0021-8588
ISSN-L : 0021-8588
Volume 78, Issue 4
Displaying 1-6 of 6 articles from this issue
Full Paper
  • Diep Nguyen Thi HONG, Kenichi TATSUMI, Minh Vo QUANG, Megumi YAMASHITA ...
    2022 Volume 78 Issue 4 Pages 121-136
    Published: October 10, 2022
    Released on J-STAGE: October 10, 2022
    JOURNAL OPEN ACCESS
    Supplementary material
     In this study, we used Landsat satellite imagery to monitor coastline changes in critical estuaries of the lower Mekong River basin from 1989 to 2017. To delineate the shoreline dynamics, we used the automated water extraction index (AWEI) and the digital shoreline analysis system (DSAS) to calculate the rate-of-change statistics from multiple historical shoreline positions. The rate of shoreline change was assessed using linear regression (LRR) and end point rate (EPR) methods. The erosion and accretion observed in the estuaries were intermingled, with total areas of 4,732.46 and 13,471.7 ha, respectively. Erosion and accretion impacted the shoreline rates considerably at a fast pace and the erosion and accretion speeds depended on each of the five periods analyzed in this study. From 2015 to 2017, the highest erosion rate (507.78 m y-1) was recorded in the village of An Thuy in Ben Tre Province. From 2005 to 2009, the highest erosion rate (312.11 m y-1) was recorded in the village of Thoi Thuan in Ben Tre Province. The accuracy (T) of the largest erosion/accretion areas during 2005-2009 was estimated to be 87.9%, with a kappa coefficient (K) of 0.76, while the lowest overall T (78.5%) and K (0.57) were obtained for the 1989-2001 period. We calculated the total estimated erosion and accretion areas from 2017 to 2019 (estimated to be 166.14 and 1,432.29 ha, respectively), and forecasted values for 2019-2025 (235.93 and 1,126.51 ha, respectively). This study confirms that satellite imagery and statistical methods can be reliably used to analyze the shoreline changes in coastal areas, which can then support policies addressing coastal planning and development.
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  • Takashi Hirano, Guan Xhuan Wong, Joseph Wenceslaus Waili, Kim San Lo, ...
    Article type: D-22-00003
    2022 Volume 78 Issue 4 Pages 137-146
    Published: October 10, 2022
    Released on J-STAGE: October 10, 2022
    Advance online publication: July 28, 2022
    JOURNAL OPEN ACCESS
     Palm oil accounts for about 40% of the global demand of vegetable oil. To meet the demand, oil palm plantations have expanded in the humid tropics at the expense of tropical forests. Land conversion begins with clear cutting and generates much woody debris, which was stacked in rows. Woody debris decomposes and emits carbon dioxide (CO2), but the time course of the decomposition is not well understood, especially at the early stage. Thus, we measured carbon (C) stock in woody debris in a newly established plantation after clear cutting of a secondary peat swamp forest in Sarawak, Malaysia. A litter bag method was applied to examine the decomposition of woody debris scattered on the ground. Also, we periodically measured apparent cross-sectional area (ACSA) of a stacking row (about 5 m wide and 90 m long) assuming that the cross-sectional form was triangular. The C stock of the stacking row was estimated from ACSA and measured C fractions using a significant sigmoidal relationship. The decomposition rate constants (k) for C content were determined to be 0.231-0.313 yr-1 for ground woody debris and 0.459 yr-1 for stacked woody debris. In addition, the total decomposition of the aboveground woody debris proceeded according to another k of 0.440 yr-1 during the experimental period of 740 days. The total C stock of aboveground woody debris was 48.4 Mg C ha-1 at the beginning of the field experiment, about 16 months after clear cutting. The C stock accounted for 63% of the C of forest aboveground biomass. Despite the uncertainty in the spatial representativeness, we think that simply measurable ACSA is useful to quantify the C stock of stacked woody debris. The technique could be applicable to large-area estimation using drone technology.
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  • Yoshiyuki Kinose, Riku Seita
    2022 Volume 78 Issue 4 Pages 147-154
    Published: 2022
    Released on J-STAGE: October 10, 2022
    Advance online publication: August 31, 2022
    JOURNAL OPEN ACCESS
     In the Kyushu region of Japan, the occurrence of chalky rice grains caused by high air temperatures is a concern for a major local cultivar, Hinohikari. To avoid heat stress, a cultivar shift to Nikomaru, which is highly tolerant to high temperatures, is expected in this region. However, it is unknown how effective the shifting cultivar is for avoiding the heat‑induced chalky grains under possible high air temperature in the future. Therefore, in the present study, we aimed to simulate the impacts of increased air temperature on chalky grains in Hinohikari and Nikomaru based on 10 future climate scenarios, derived from a combination of five general circulation models and two representative concentration pathway (RCP) scenarios. Under RCP2.6 and RCP8.5, the median percentages of chalky grains in Hinohikari averaged over the entire Kyushu region were 29.6% and 42.8% in 2041‑2060 and 31.4% and 83.6% in 2081‑2100, respectively. While the cultivar shift to Nikomaru reduced them by approximately 20‑30%, the damage could not be reduced to below approximately 10% under RCP8.5. Furthermore, we tested the effects of other adaptation options: late transplanting. Although implementing both adaptation options, a cultivar shift and late transplanting, was somewhat effective in the middle of the 21st century, it could not suppress the heat‑induced incidence of chalky rice grains in 2081‑2100 under RCP8.5. Therefore, other adaptation options and mitigation measures may be needed in the end of the 21st century under possible high air temperatures.
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  • Keach MURAKAMI, Satoshi INOUE, Manabu NEMOTO, Yasuhiro KOMINAMI, Masar ...
    2022 Volume 78 Issue 4 Pages 155-163
    Published: October 10, 2022
    Released on J-STAGE: October 10, 2022
    JOURNAL OPEN ACCESS
    Supplementary material

     The use of agricultural machines for field operations is often restricted by the soil status, which is determined by the meteorological conditions several days before the operation. While a projected rise in air temperature caused by climate change may promote evapotranspiration and incur positive impacts on the use of agricultural machines, intensified rainfall may have negative effects. Here, we provide probabilistic estimates of climate change impacts on meteorological constraints on the field workability of agricultural machines in Hokkaido, Japan. Analyses based on historical meteorological data and machinery operation logs recorded at two agricultural research stations revealed that operations were concentrated on days with a smaller antecedent precipitation index (API). A simple derivative that reflects a maximum API value for conducting a certain field operation, termed threshold API, was proposed to evaluate meteorological constraints on field operations. The threshold API values for operations that were vulnerable to soil conditions (e.g., sowing and soil preparation) and/or in fields with poor drainage soil were small; therefore, this threshold should be a reasonable and quantitative measure of the meteorological constraint on field workability. Using 1 km gridded API values under historical and future climates calculated from a large ensemble dataset of daily mean air temperature and precipitation, we separated workable and unworkable days from June to October based on a threshold value of 5 mm and calculated changes in the monthly numbers of total workable days and consecutive unworkable days. While there were slight negative effects in several of the southern and central regions under a 4-K warmer future climate, positive changes prevailed in the total workable days and consecutive unworkable days in the other regions and months. The present results facilitate a probabilistic discussion of changes in agricultural calendars and suggest that climate change may extend the agricultural season in Hokkaido.

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  • Ryo MATSUDA
    2022 Volume 78 Issue 4 Pages 164-173
    Published: October 10, 2022
    Released on J-STAGE: October 10, 2022
    JOURNAL OPEN ACCESS
    Supplementary material
     I investigated the effects of seasonal fluctuations in light availability for plants before gene transfer on the inter-batch variation of target recombinant protein productivity in a viral vector-based transient gene expression system. Nicotiana benthamiana plants were grown five times in different seasons, either in a growth chamber (GC) under sole-source (solely electric) lighting or in a temperature-controlled greenhouse (GH) under sunlight until agroinfiltration for gene transfer. The plants were then further grown in a shared growth chamber to allow accumulation of hemagglutinin (HA) until harvest. The coefficient of variation of leaf HA content per plant among GH batches was more than twice that among GC batches. The greater variation of leaf HA content per plant in GH was due to the higher coefficient of variation (CV) of leaf biomass and the slightly higher CV of leaf HA content per biomass, the former being primarily due to the variation in cumulative photosynthetic photon flux density before gene transfer. There was a significant linear regression between leaf HA content per biomass at harvest and leaf biomass at the timing of gene transfer across growth conditions (GC or GH) and seasons. This regression indicates that the variation of leaf biomass or any related variables immediately before gene transfer can account for a significant part of the observed variation of leaf HA accumulation per plant at harvest. Thus, strictly regulated plant growth conditions before gene transfer are crucial to reducing the inter-batch variation of HA productivity. I conclude that indoor facilities with sole-source lighting are more appropriate than greenhouses, not only for plant cultivation after gene transfer but also before gene transfer.
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Short Paper
  • Reiji KIMURA
    2022 Volume 78 Issue 4 Pages 174-181
    Published: October 10, 2022
    Released on J-STAGE: October 10, 2022
    JOURNAL OPEN ACCESS

     The Taklimakan and Gobi deserts and the Loess Plateau in China and Mongolia are generally recognized source areas for Asian dust. However, dust emissions depend on meteorological factors such as air pressure and land surface conditions, and precise information on land surface conditions in the dust source areas and the frequency of dust events in Japan is lacking. In this study, interannual changes of land surface conditions in the springtime since 2000 were examined in a target source region (35°N-50°N, 100°E-120°E). Back trajectory analysis results showed that most dust trajectories of the past 10 years mainly followed three routes passing over this target region. Both the number of Asian dust events observed in Japan and the area with a threshold wind speed Ut of <10 m s-1 in the target region significantly decreased after 2000. Further, the area of Ut < 10 m s-1 and the number of events were significantly correlated. These results may reflect a decrease in the bare land surface area, which is associated with dust outbreaks.

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