Author

B. Kusumoto

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 6

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 6 Approach:statistical model· 6 Assay:field survey / ecological data· 3 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Assay:metagenomics· 1 Organism:multiple species· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Y. Kubota· 4 shared N. Takashina· 3 shared T. Shiono· 3 shared M. Beger· 2 shared S. Rathnayake· 2 shared A. Chao· 1 shared E. P. Economo· 1 shared H. P. Possingham· 1 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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4 shared papersEcology

Y. Kubota

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Occurrence-based diversity estimation reveals macroecological and conservation knowledge gaps for global woody plants

B. Kusumoto, A. Chao, W. L. Eiserhardt, J.-C. Svenning, T. Shiono, Y. Kubota

The paper estimates global woody plant diversity using occurrence records, revealing knowledge gaps and conservation priorities in underexplored regions.

bioRxiv · Apr 9, 2023Ecology

Area-based conservation planning in Japan: protected area network effectiveness to the post-2020 Global Biodiversity Framework

T. Shiono, Y. Kubota, B. Kusumoto

This study evaluates the effectiveness of Japan's protected area network under the post-2020 Global Biodiversity Framework using spatial prioritization and land-use analysis.

bioRxiv · Jul 7, 2021Ecology

Macroscale estimates of species abundance reveal evolutionary drivers of biodiversity

K. Fukaya, B. Kusumoto, T. Shiono, J. Fujinuma, Y. Kubota

The paper estimates macroscale species abundance distributions to show that speciation rates and geographic factors influence biodiversity patterns.

bioRxiv · Sep 26, 2018 · PreprintEcology

A geometric approach to scaling individual distributions to macroecological patterns

N. Takashina, B. Kusumoto, Y. Kubota, E. P. Economo

The paper develops a geometric framework to derive macroecological patterns from individual distribution data, recovering known patterns and providing new insights into their relationships.

bioRxiv · Apr 17, 2018Ecology

A Theory For Ecological Survey Methods To Map Individual Distributions

N. Takashina, M. Beger, B. Kusumoto, S. Rathnayake, H. Possingham

The paper develops a theory for designing ecological surveys to map individual distributions by considering spatial scales and detectability, showing tradeoffs between mapping resolution and coverage.

bioRxiv · Nov 28, 2017Ecology

Spatially Explicit Approach To Population Abundance Estimation In Field Surveys

N. Takashina, B. Kusumoto, M. Beger, S. Rathnayake, H. P. Possingham

The paper develops a spatially explicit method for population abundance estimation in field surveys, showing how accuracy depends on ecological factors and sampling design.

bioRxiv · Apr 26, 2017Ecology