TY - JOUR
T1 - Integrating multiple sources of ecological data to unveil macroscale species abundance
AU - Fukaya, Keiichi
AU - Kusumoto, Buntarou
AU - Shiono, Takayuki
AU - Fujinuma, Junichi
AU - Kubota, Yasuhiro
N1 - Funding Information:
We thank S. Eguchi and O. Komori for their helpful comments and discussion. We are grateful to T.J. Matthews for valuable comments and editing. We are particularly grateful to local botanists, vegetation researchers, and naturalists who have accumulated the information on plant distribution through their fieldwork steadies over the past decades. This research was supported by an allocation of computing resources of the SGI ICE X and SGI UV 2000 supercomputers from the Institute of Statistical Mathematics and SGI UV 2000 supercomputers from Institute for Chemical Research, Kyoto University. Financial support was provided by the Japan Society for the Promotion of Science (no. 15H04424), the Environment Research and Technology Development fund of the Ministry of the Environment, Japan (4-1501 and 4-1802), and Program for Advancing Strategic International Networks to Accelerate the Circulation of Talented Researchers, Japan Society for the Promotion of Science.
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - The pattern of species abundance, represented by the number of individuals per species within an ecological community, is one of the fundamental characteristics of biodiversity. However, despite their obvious significance in ecology and biogeography, there is still no clear understanding of these patterns at large spatial scales. Here, we develop a hierarchical modelling approach to estimate macroscale patterns of species abundance. Using this approach, estimates of absolute abundance of 1248 woody plant species at a 10-km-grid-square resolution over East Asian islands across subtropical to temperate biomes are obtained. We provide two examples of the basic and applied use of the estimated species abundance for (1) inference of macroevolutionary processes underpinning regional biodiversity patterns and (2) quantitative community-wide assessment of a national red list. These results highlight the potential of the elucidation of macroscale species abundance that has thus far been an inaccessible but critical property of biodiversity.
AB - The pattern of species abundance, represented by the number of individuals per species within an ecological community, is one of the fundamental characteristics of biodiversity. However, despite their obvious significance in ecology and biogeography, there is still no clear understanding of these patterns at large spatial scales. Here, we develop a hierarchical modelling approach to estimate macroscale patterns of species abundance. Using this approach, estimates of absolute abundance of 1248 woody plant species at a 10-km-grid-square resolution over East Asian islands across subtropical to temperate biomes are obtained. We provide two examples of the basic and applied use of the estimated species abundance for (1) inference of macroevolutionary processes underpinning regional biodiversity patterns and (2) quantitative community-wide assessment of a national red list. These results highlight the potential of the elucidation of macroscale species abundance that has thus far been an inaccessible but critical property of biodiversity.
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U2 - 10.1038/s41467-020-15407-5
DO - 10.1038/s41467-020-15407-5
M3 - Article
C2 - 32245942
AN - SCOPUS:85083041224
SN - 2041-1723
VL - 11
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 1695
ER -