Junko Morimoto
Biographic Data
| ID | 6833764 |
|---|---|
| NAME | Junko Morimoto |
| GIVEN NAMES | Junko |
| FAMILY NAME | Morimoto |
| SIGNATURE | MORIMOTO J |
| AFFILIATIONS | Hokkaido University |
| ORCID | 0000-0002-4894-556X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Relationship Between Social Frailty and Sarcopenia and Its Impact on Long‐Term Prognosis in Older Patients With Stage B Heart Failure
Modeling desirable futures at local scale by combining the nature futures framework and multi-objective optimization
Envisioning positive scenarios that recognize the multiple values of nature is fundamental for designing transformative changes in local socio-ecological systems. This study developed a protocol with three specifications for operationalizing the Nature Futures Framework (NFF) in a landscape scenario analysis using a multi-objective optimization framework composed of: (1) exploring nature-positive futures, (2) seeking alternative pathways for targ…
Simulation of natural capital and ecosystem services in a watershed in Northern Japan focusing on the future underuse of nature
Modeling desirable futures at local scale by combining the nature futures framework and multi-objective optimization
Envisioning positive scenarios that recognize the multiple values of nature is fundamental for designing transformative changes in local socio-ecological systems. This study developed a protocol with three specifications for operationalizing the Nature Futures Framework (NFF) in a landscape scenario analysis using a multi-objective optimization framework composed of: (1) exploring nature-positive futures, (2) seeking alternative pathways for targ…
Simulation of natural capital and ecosystem services in a watershed in Northern Japan focusing on the future underuse of nature
Modeling desirable futures at local scale by combining the nature futures framework and multi-objective optimization
Envisioning positive scenarios that recognize the multiple values of nature is fundamental for designing transformative changes in local socio-ecological systems. This study developed a protocol with three specifications for operationalizing the Nature Futures Framework (NFF) in a landscape scenario analysis using a multi-objective optimization framework composed of: (1) exploring nature-positive futures, (2) seeking alternative pathways for targ…
Relationship Between Social Frailty and Sarcopenia and Its Impact on Long‐Term Prognosis in Older Patients With Stage B Heart Failure
Business (2 works) · Computer Science (2 works) · Environmental resource management (2 works) · Forest Management and Policy (2 works) · Land Use and Ecosystem Services (2 works) · Agroforestry (1 work) · Confidence interval (1 work) · Conservation, Biodiversity, and Resource Management (1 work) · Ecology (1 work) · Economics (1 work)