Spatially Explicit Residential and Working Population Assumptions for Projecting and Assessing Natural Capital and Ecosystem Services in Japan

Matsui, Takanori; Haga, Chihiro; Saito, Osamu et al.

Sustainability Science, 2018, 14(1), 23-37

Number of Access:605（2025-08-28 11:18 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/83603

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Title
Spatially Explicit Residential and Working Population Assumptions for Projecting and Assessing Natural Capital and Ecosystem Services in Japan
Creator
NRID
1000030423205 1000030423205
ORCID
0000-0001-9441-7664 0000-0001-9441-7664
researchmap permalink
read0121175 read0121175
Scopus Author ID
35427475300 35427475300
CreatorName
Matsui, Takanori
ORCID
0000-0002-3325-6315 0000-0002-3325-6315
researchmap permalink
ChihiroHaga ChihiroHaga
CreatorName
Haga, Chihiro
NRID
1000050397668 1000050397668
CreatorName
Saito, Osamu
NRID
1000020462492 1000020462492
CreatorName
Hashimoto, Shizuka
Subject
Ecosystem services
Natural capital
Population distribution
Scenario analysis
Spatially explicit
Description
This is a pre-print of an article published in Sustainability Science. The final authenticated version is available online at: https://doi.org/10.1007/s11625-018-0605-y.
Abstract
In scenario studies of biodiversity and ecosystem services, the population distribution is one of the key driving forces. In this study, we developed a coupling method for narrative scenarios and spatially explicit residential and working population designs for all of Japan as a common dataset for ecosystem scenario analysis implemented by 5-year project entitled “Predicting and Assessing Natural Capital and Ecosystem Services (PANCES)”. Four narrative scenarios were proposed by the PANCES project using two axes as major uncertainties: the population distribution and the capital preference. The residential population and the working population in primary industries were calculated using a gravity-based allocation algorithm in a manner consistent with the storylines of the PANCES scenarios. Using the population distribution assumption by scenario, the population was overlaid with the natural capital and the supply potential of ecosystem services. The results supported to understand the gaps between natural capital and maintainability, and the potential of ecosystem services and realizability. The spatially explicit population distribution data products are expected to help design the nature conservation strategy and governance option in terms of both social system and ecological system.
Publisher
Springer Japan KK
Source Title
Sustainability Science
Volume (Issue)
14(1)
Page
23-37
Date of Issued
2018-07-03
Language
English
Handle URL
https://hdl.handle.net/11094/83603
PISSN
18624065
eISSN
18624057
NCID
AA12171356
Relation.isVersionOf
DOI (Publisher Version)
https://doi.org/10.1007/s11625-018-0605-y
Access Rights
open access
CopyRight
© 2018, Springer Japan KK, part of Springer Nature.
oaire:version
Accepted Manuscript
Category
学術雑誌論文 Journal Article