| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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| Outline of Final Research Achievements |
Many control programs to invasive alien species caused recovery of native species; however, sometimes caused increases in unwanted species. This research aimed to predict abundance of individual species in the biological community by using the assembly rule of communities defined as statistical/machine learning approach based on ecological traits of local species pool. We can predict future community maps after removing invasive species or adding once-extinct native species to the local species pool.
The whole project includes (a) species pool dynamics, (b) analyzing assembly rules, (c) construct trait database, (d) analyzing environmental responses of traits, (e) geographical map of traits in complicated environment, (f) reading traits at a geographical point from the trait map, (g) predicting community at the point and drawing the map of community. We focused on Ogasawara Islands where alien species caused major threat to the endemic ecosystem.
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