Practicalities of Non-Destructive Methodologies in Monitoring Anthropogenic Greenhouse Gas Emissions from Tropical Forests under the Influence of Human Intervention

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概要

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• We examined non-destructive methodologies for practicalities in monitoring anthropogenic greenhouse gas (GHG) emissions from tropical dry-land forest under the influence of various forms of human intervention. Spaceborne SAR withstood comparison with Landsat ETM+ in land cover classification of degraded tropical forest. For measurement of carbon stock and GHG flux per unit land area, the gain-loss method requires both growth rate and removal rate of forest carbon stock. However, the latter has rarely been obtained in tropical forest. For the stock-difference method, permanent sampling plot data can be used to estimate mean carbon stock per unit land area of each forest type. For cyclic land use that includes a clear-cutting stage such as slash-and-burn agriculture, chronosequential changes in carbon stock can be predicted by determining the time and spatial-distribution of cleared land. Changes in forest biomass by logging, storm-damage, etc., may be identified by monitoring the presence and diameter of the crowns of overstory trees. We developed five equations containing the parameter for crown diameter for estimating tree biomass. Overstory height can be a parameter for estimating ecosystem carbon stock of various plant communities, and forest height can be measured by airborne and spaceborne sensors, etc. Generic equations containing the parameter for overstory height are available for estimating community biomass of tropical and subtropical forests. PALSAR has an advantage over other remote systems by enabling frequent sensing and semi-direct biomass estimation using backscattering coefficients. However, no reasonable remote sensing methods exist for monitoring the amount of carbon loss by forest conversion and logging in forests with high biomass. To compensate for the faults of the present PALSAR methodologies and to enable practical and frequent monitoring of all types of forests by humans, it is vital to devise a new methodology to detect changes in high-biomass forests.

著者

• Takahashi Tomoaki

  Department Of Chemistry Graduate School Of Science Tohoku University:presto Japan Science And Techno

• Saito Satoshi

  Department Of Advanced Medical Science Nihon University School Of Medicine

• FURUYA Naoyuki

  Forestry and Forest Products Research Institute

• Tith Bora

  Forest Wildlife Science Research Institute Forestry Administration

• Sato Tamotsu

  Department Of Forest Vegetation Forestry And Forest Products Research Institute

• Kiyono Yoshiyuki

  Department Of Forest Vegetation Forestry And Forest Products Research Institute

• Awaya Yoshio

  River Basin Research Center Gifu University

• Matsumoto Mitsuo

  Research Coordination Division Forestry And Forest Products Research Institute

• ASAI Hidetoshi

  Graduate school of Agriculture, Kyoto University

• SOPHAL Chann

  Forestry Administration, Ministry of Agriculture, Forestry, and Fisheries, Kingdom of Cambodia

• ITO Eriko

  Hokkaido Research Center, FFPRI

• TORIYAMA Jumpei

  Bureau of Climate Change, FFPRI

• MATSUMOTO Mitsuo

  Research Coordinator, FFPRI

• OCHIAI Yukihito

  Research Coordination Division, FFPRI

• INOUE Yoshio

  Ecosystem Informatics Division, National Institute for Agro-Environmental sciences

• SAM Preap

  Forestry Administration, Ministry of Agriculture, Forestry, and Fisheries, Kingdom of Cambodia

• SIREGAR Chairil

  Forest and Nature Conservation Research and Development Center, Ministry of Forestry, Republic of Indonesia

• SATO Tamotsu

  Department of Forest Vegetation, FFPRI

• TITH Bora

  Forestry Administration, Ministry of Agriculture, Forestry, and Fisheries, Kingdom of Cambodia

• FURUYA Naoyuki

  Forestry Division, Japan International Research Center for Agricultural Sciences

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