Abstract

A quantitative scenario approach to compare the future state of natural capital and ecosystem services (ESs) plays a key role in facilitating decision-making for the sustainable management of landscapes. In Japan, the shrinking and aging population will likely lead to a situation of underuse of natural resources, resulting in rewilding of terrestrial ecosystems. This study conducted a quantitative scenario analysis of natural capital and ESs by linking model and social scenarios on a local scale. The case study area was the Bekanbeushi River Watershed in Northern Japan. LANDIS-II model (a forest landscape model) was used to simulate the vegetation dynamics in species composition, age structure, and biomass considering impacts of forest and pasture land management. Four “population distribution” and “capital preference” scenarios were translated into forest and pasture land management. The population distribution and capital preference assumptions resulted in different consequences for natural capital and ESs. The population distribution affected the spatial allocation of abandoned pasture land and level of isolation of managed pasture land. The capital preference assumptions largely affected the consequences for ESs. Finally, these simulation results demonstrated the capacity to feed quantitative information to the narrative scenarios. Our process-based approach provides insight into the relationships among social drivers, ecological processes, and the consequences that will affect natural capital and ESs, which can contribute to decision-making and sustainability design of regions, which may face issues associated with underuse in the future.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.