Michio Kondoh

TL;DR: The metabarcoding approach presented here is non-invasive, more efficient, more cost-effective and more sensitive than the traditional survey methods and has the potential to serve as an alternative tool for biodiversity monitoring that revolutionizes natural resource management and ecological studies of fish communities on larger spatial and temporal scales.

TL;DR: It is hypothesize that the diversity of species and interaction types may be the essential element of biodiversity that maintains ecological communities that is key to the maintenance of biodiversity itself.

TL;DR: In this paper, a mathematical model is proposed to predict a linkage pattern consistent with field observations, which is a key to the long-term stability of complex food-web communities.

TL;DR: The ability of eDNA metabarcoding to reveal fish community structures in species-rich coastal waters by using high-performance fish-universal primers and systematic spatial water sampling at 47 stations covering ~11 km2 revealed the fish community structure at a species resolution.

TL;DR: This study presents a model that synthesizes these separately developed hypotheses and shows that the interactive effects of disturbance and productivity on the competitive outcome of multispecies dynamics can result in these diverse relationships of species richness to disturbances and productivity.