| Project/Area Number |
17380099
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
林学・森林工学
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| Research Institution | Kyushu University |
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Principal Investigator |
MIZOUE Nobuya Kyushu University, Faculty of Agriculture, Associate Professor (00274522)
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| Co-Investigator(Kenkyū-buntansha) |
YOSHIDA Shigejiro Kyushu University, Faculty of Agriculture, Professor (80128462)
MURAKAMI Takuhiko Niigata University, Faculty of Agriculture, Associate Professor (20332843)
ITO Satoshi Miyazaki University, Faculty of Agriculture, Associate Professor (00231150)
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| Project Period (FY) |
2005 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥15,750,000 (Direct Cost: ¥15,300,000、Indirect Cost: ¥450,000)
Fiscal Year 2007: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2006: ¥3,200,000 (Direct Cost: ¥3,200,000)
Fiscal Year 2005: ¥10,600,000 (Direct Cost: ¥10,600,000)
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| Keywords | National Forest Inventory / Quality assurance / Quality control / Measurement error / Precision / Accuracy |
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| Research Abstract |
National Forest Inventories (NFIs) have been carried out in many countries , and historically, NFIs were very much oriented toward describing state and change of forests with regard to timber production . Over recent decades, there is an increased demand for information on non-productive functions of forests due to the requests of policy makers and the public's perception of forests . Quality Assurance (QA) is essential in long-term and large-scale environmental monitoring programs to ensure a documentation of quality of the field data and allow a data quality evaluation. However, there has been very limited information of current level of NFI data quality over the world.
We evaluated data quality of Japanese National Forest Inventory, which had started in 1999 and had not carried out quality assurance program. Forty eight plots in four prefectures were remeasured by a control team, making careful and unhurried measurements. The paired data between field teams of each prefecture and the control team were evaluated, including two tree-level valuables (DBH and total height) and seven plot-level valuables (tree count, tree species richness, understory vegetation species richness and 4 of topographic condition). As compared to the control team, all field teams of each prefecture tended to significantly underestimate all of the continuous valuables. Most variables had larger variability as compared to the published literature, without achieving measurement quality objectives adopted in other monitoring programs. The findings of consistent bias and large variation of the field team measurements call for urgent implementation of quality assurance (QA) program (extensive field training and regular remeasurement) to improve data quality in Japan as well as countries without QA program. This study also suggested to promote international comparisons of data quality data to standardize the quality level at global scale.
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