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Land-use change is a crucial driver for achieving a sustainable future. However, the uncertainties of socioeconomic development could lead to different changes in the future land-use patterns. Using a spatial downscaling framework, this study aims to explore possible land-use patterns that can help achieve sustainable development in the Guangdong–Hong Kong–Macao Greater Bay Area, China (the Greater Bay Area). The framework combines the global Shared Socioeconomic Pathways (SSPs) scenarios with local land planning policies to model land-use changes. First, the Land Change Modeler was used to analyze the land-use changes from 2000 to 2010 and build transition potential submodels each of which demonstrates transition potential of different land-use classes. Second, future projections were made for the “business-as-usual” scenario and five localized SSP scenarios that were downscaled from global scenarios and modified based on the local land planning policy. Hong Kong was considered a typical case in the Greater Bay Area that could be used to demonstrate the application of the projected land-use maps by comparing the biocapacity and ecological footprint and estimating the carbon emissions associated with land use. The results of the future projections of land use made under six future scenarios indicated that there is a significant expansion in the urban area under all the scenarios, with varying degrees of decrease in cropland and forest among the different scenarios. Moreover, a land-use change also led to the change in local biocapacity and carbon emissions. Our analysis indicated that in achieving sustainable development not only urban area and cropland should be involved for consideration but should also cover the balance between all land-use classes, and three policy implications were proposed based on our findings.
Xiangyun Shi; Takanori Matsui; Chihiro Haga; Takashi Machimura; Shizuka Hashimoto; Osamu Saito. A scenario- and spatial-downscaling-based land-use modeling framework to improve the projections of plausible futures: a case study of the Guangdong–Hong Kong–Macao Greater Bay Area, China. Sustainability Science 2021, 1 -22.
AMA StyleXiangyun Shi, Takanori Matsui, Chihiro Haga, Takashi Machimura, Shizuka Hashimoto, Osamu Saito. A scenario- and spatial-downscaling-based land-use modeling framework to improve the projections of plausible futures: a case study of the Guangdong–Hong Kong–Macao Greater Bay Area, China. Sustainability Science. 2021; ():1-22.
Chicago/Turabian StyleXiangyun Shi; Takanori Matsui; Chihiro Haga; Takashi Machimura; Shizuka Hashimoto; Osamu Saito. 2021. "A scenario- and spatial-downscaling-based land-use modeling framework to improve the projections of plausible futures: a case study of the Guangdong–Hong Kong–Macao Greater Bay Area, China." Sustainability Science , no. : 1-22.
CO2 emissions from fossil fuel combustion (FFCO2) can be robustly estimated from fuel used (as activity data, AD) and CO2 emissions factor, due to the nature of FFCO2. Recent traffic emission changes under the impact of the COVID-19 pandemic have been estimated using emerging non-fuel consumption data, such as human mobility data that tech companies reported as AD, due to the unavailability of timely fuel statistics. The use of such unconventional activity data (UAD) might allow us to provide emission estimates in near-real time; however, the errors and uncertainties associated with such estimates are expected to be larger than those of common FFCO2 inventory estimates, and thus should be provided along with a thorough evaluation/validation of the methodology and the resulting estimates. Here, we show the impact of COVID-19 on traffic CO2 emissions over the first six months of 2020 in Japan. We calculated CO2 monthly emissions using fuel consumption data and assessed the emission changes relative to 2019. Regardless of Japan’s soft approach to COVID-19, traffic emissions significantly declined by 23.8% during the state of emergency in Japan (April-May). We also compared relative emission changes among different estimates available. Our analysis suggests that UAD-based emission estimates during April and May could be biased by -19.6% to 12.6%. We also used traffic count data for examining the performance of UAD as a proxy for traffic and/or CO2 emissions. We found traffic changes are not proportional enough to emission changes to allow emissions to be estimated with accuracy, and moreover, the traffic-based approach failed to capture emission seasonality. Our study highlighted the challenges and difficulties in the use of limited non-scientific data for modeling human activities and assessing the impact on the environment, and the importance of a thorough error and uncertainty assessment before using these data in policy applications.
Tomohiro OdaiD; Chihiro HagaiD; Kotaro Hosomi; Takanori MatsuiiD; Rostyslav BuniD. Errors and uncertainties associated with the use of unconventional activity data for estimating CO2 emissions. 2021, 1 .
AMA StyleTomohiro OdaiD, Chihiro HagaiD, Kotaro Hosomi, Takanori MatsuiiD, Rostyslav BuniD. Errors and uncertainties associated with the use of unconventional activity data for estimating CO2 emissions. . 2021; ():1.
Chicago/Turabian StyleTomohiro OdaiD; Chihiro HagaiD; Kotaro Hosomi; Takanori MatsuiiD; Rostyslav BuniD. 2021. "Errors and uncertainties associated with the use of unconventional activity data for estimating CO2 emissions." , no. : 1.
Bats inhabit all continents except Antarctica, and they have enormous potential as bioindicators. Therefore, monitoring bats helps us to understand the surrounding environmental changes. However, bats are nocturnal, which makes it difficult to visually monitor their behavior. This paper proposes a bat species identifier method based on the analysis of ultrasound called echolocation calls, which is a promising method to monitor bats' activity levels effectively. We develop a robust method to identify the bat species with improved accuracy by analyzing their echolocation calls. First, 1400 sound files with four families, 13 genera, and 30 species were recorded in Japan and the Jincheon-gun in South Korea from 1999 to 2019. Bat echolocation calls were detected from the sound files and used to generate 54,525 spectrograms by applying short-time Fourier transform. We developed a deep learning–based bat species identifier using convolutional neural networks with MobileNetV1 used as the model's architecture. Furthermore, we applied nested cross-validation with the Bayesian optimization algorithm to search for the optimal combination of hyperparameters and evaluate the expected performance. We achieved 98.1% accuracy, which outperformed previous studies that treated more than 30 bat species. We visualized important regions of the spectrograms which correspond to prediction using the Guided Grad-CAM. Moreover, we discussed how to treat the noise class and minimize the model training time. Then, we proposed potential solutions to boost the identifier's performance, the generalization of the echolocation call recording protocols, and applicable techniques to improve the identification accuracy. Future perspectives are 1) to change the deep learning algorithm from image classification to object detection and 2) to apply the proposed identifier to unknown bat echolocation calls to evaluate the feasibility of estimating bat fauna and spatial activity distribution.
Keigo Kobayashi; Keisuke Masuda; Chihiro Haga; Takanori Matsui; Dai Fukui; Takashi Machimura. Development of a species identification system of Japanese bats from echolocation calls using convolutional neural networks. Ecological Informatics 2021, 62, 101253 .
AMA StyleKeigo Kobayashi, Keisuke Masuda, Chihiro Haga, Takanori Matsui, Dai Fukui, Takashi Machimura. Development of a species identification system of Japanese bats from echolocation calls using convolutional neural networks. Ecological Informatics. 2021; 62 ():101253.
Chicago/Turabian StyleKeigo Kobayashi; Keisuke Masuda; Chihiro Haga; Takanori Matsui; Dai Fukui; Takashi Machimura. 2021. "Development of a species identification system of Japanese bats from echolocation calls using convolutional neural networks." Ecological Informatics 62, no. : 101253.
Under future climate regimes, the risk of typhoons accompanied by heavy rains is expected to increase. Although the risk of disturbance to forest stands by strong winds has long been of interest, we have little knowledge of how the process is mediated by storms and precipitation. Using machine learning, we assess the disturbance risk to cool-temperate forests by typhoons that landed in northern Japan in late August 2016 to determine the features of damage caused by typhoons accompanied by heavy precipitation, discuss how the process is mediated by precipitation as inferred from the modelling results, and delineate the effective solutions for forest management to decrease the future risk in silviculture. In the results, we confirmed two types of behaviours in the model: one represents the same process as that of forest disturbance by strong wind, which has been widely studied, and another represents a unique process mediated by storms and precipitation that has not been previously investigated. Specifically, the ridges that received strong wind from the front side had the highest risk of disturbance. Precipitation increased the probability of disturbance in forest stands, and its effect was dependent on the dominant species composition. Our hypothesis regarding treefall mediated by storms and precipitation is that rainwater flows into the gaps around the tree root systems during sway and the introduction of rainwater below the root-soil plate decreases the root anchorage. The species-specific vulnerability to rainfall may depend on the volume of lateral roots. Modelling the disturbance risk helped us to examine the kinds of factors that were related to exposure and vulnerability that should be managed to effectively decrease the risk of disturbance by typhoons during future uncontrollable hazards. It is recommended to avoid silviculture on the ridges of plateaus considering the high risk estimated in this area. In addition, species with dense lateral roots would be suitable for planting because they may have high resistance to typhoons with heavy precipitation.
Junko Morimoto; Masahiro Aiba; Flavio Furukawa; Yoshio Mishima; Nobuhiko Yoshimura; Sridhara Nayak; Tetsuya Takemi; Haga Chihiro; Takanori Matsui; Futoshi Nakamura. Risk assessment of forest disturbance by typhoons with heavy precipitation in northern Japan. Forest Ecology and Management 2020, 479, 118521 .
AMA StyleJunko Morimoto, Masahiro Aiba, Flavio Furukawa, Yoshio Mishima, Nobuhiko Yoshimura, Sridhara Nayak, Tetsuya Takemi, Haga Chihiro, Takanori Matsui, Futoshi Nakamura. Risk assessment of forest disturbance by typhoons with heavy precipitation in northern Japan. Forest Ecology and Management. 2020; 479 ():118521.
Chicago/Turabian StyleJunko Morimoto; Masahiro Aiba; Flavio Furukawa; Yoshio Mishima; Nobuhiko Yoshimura; Sridhara Nayak; Tetsuya Takemi; Haga Chihiro; Takanori Matsui; Futoshi Nakamura. 2020. "Risk assessment of forest disturbance by typhoons with heavy precipitation in northern Japan." Forest Ecology and Management 479, no. : 118521.
This paper analyzed the livelihood vulnerability of households in two communes using socio-economic data, where one site is a climate analogue of the other under expected future climate change. The analysis was undertaken in order to understand local variability in the vulnerability of communities and how it can be addressed so as to foster progress towards rural adaptation planning. The study identified sources of household livelihood vulnerability by exploring human and social capitals, thus linking the human subsystem with existing biophysical vulnerability studies. Selected relevant variables were used in Factor Analysis on Mixed Data (FAMD), where the first eight dimensions of FAMD contributed most variability to the data. Clustering was done based on the eight dimensions, yielding five clusters with a mix of households from the two communes. Results showed that Cluster 3 was least vulnerable due to a greater proportion of households having adopted farming practices that enhance food and water availability. Households in the other clusters will need to make appropriate changes to reduce their vulnerability. Findings show that when analyzing rural vulnerability, rather than broadly looking at spatial climatic and farm management differences, social factors should also be investigated, as they can exert significant policy implications.
Risper Nyairo; Takashi Machimura; Takanori Matsui. A Combined Analysis of Sociological and Farm Management Factors Affecting Household Livelihood Vulnerability to Climate Change in Rural Burundi. Sustainability 2020, 12, 4296 .
AMA StyleRisper Nyairo, Takashi Machimura, Takanori Matsui. A Combined Analysis of Sociological and Farm Management Factors Affecting Household Livelihood Vulnerability to Climate Change in Rural Burundi. Sustainability. 2020; 12 (10):4296.
Chicago/Turabian StyleRisper Nyairo; Takashi Machimura; Takanori Matsui. 2020. "A Combined Analysis of Sociological and Farm Management Factors Affecting Household Livelihood Vulnerability to Climate Change in Rural Burundi." Sustainability 12, no. 10: 4296.
As a global financial center and one of the world’s first-tier cities, Hong Kong is committed to sustainable development and it expects to become the most sustainable city in Asia. With this in mind, this paper evaluates the level of sustainable development in Hong Kong considering the factors of ecological footprint, biocapacity, and the human development index (HDI) from 1995 to 2016, in order to make policy recommendations for transforming Hong Kong into a more sustainable city. Between 1995 and 2016, a period during which the HDI rose, the per capita ecological footprint of Hong Kong increased from 4.842 gha to 6.223 gha. Moreover, fossil energy consumption had a crucial impact on the city’s ecological footprint, whereas the biocapacity of Hong Kong declined gradually. By contrast, Singapore, a city-state with an area similar to Hong Kong’s, presented the opposite situation—the HDI increased while the ecological footprint decreased. We performed a further comparative analysis and a SWOT analysis of Singapore and Hong Kong to elaborate on how to decouple the large ecological footprint from human society development. Concluding that the focus must be on energy consumption, reduction of the human activities’ negative impacts on marine environment, citizens and government, we provide policy suggestions for transforming toward a “high HDI and low footprint” sustainable development society in Hong Kong.
Xiangyun Shi; Takanori Matsui; Takashi Machimura; Xiaoyu Gan; Ang Hu. Toward Sustainable Development: Decoupling the High Ecological Footprint from Human Society Development: A Case Study of Hong Kong. Sustainability 2020, 12, 4177 .
AMA StyleXiangyun Shi, Takanori Matsui, Takashi Machimura, Xiaoyu Gan, Ang Hu. Toward Sustainable Development: Decoupling the High Ecological Footprint from Human Society Development: A Case Study of Hong Kong. Sustainability. 2020; 12 (10):4177.
Chicago/Turabian StyleXiangyun Shi; Takanori Matsui; Takashi Machimura; Xiaoyu Gan; Ang Hu. 2020. "Toward Sustainable Development: Decoupling the High Ecological Footprint from Human Society Development: A Case Study of Hong Kong." Sustainability 12, no. 10: 4177.
As the effects of climate change increase in severity, organizations across the world are attempting to measures to mitigate these effects. In accordance with the Paris Agreement of November 2015, wherein participating nations agreed to restrict the increase in global temperature below 2 °C, Japan has formulated guidelines on creating adaptation plans that can be implemented by local governments. A Climate Change Adaptive Information Platform was also launched to promote understanding and cooperation by sharing information on climate risks. However, the literature on this topic lacks information related to the organization of requirements and challenges faced by municipal administrative officials that formulate adaptation plans. To address these issues, we examined the four municipal forums hosted at Hosei University to encourage administrative needs for new technological ideas in areas such as climate modeling and impact assessment. We used text mining on the transcripts of the various workshops conducted in these forums and attempted to understand the changes in discussions and to extract issues related to the formulation process. The results showed that various topics, such as creating adaptation promotion systems, assessing the impacts of climate change, formulating adaptation plans, communicating with related organizations and stakeholders, developing human resources, and capacity building, were discussed, and a need for information, procedures, and assistance was identified for the formulation of feasible adaptation plans. This study is expected to provide a useful reference to stakeholders involved in framing adaptation plans to mitigate the effects of climate changes, particularly at the municipal level.
Asako Iwami; Takanori Matsui; Michinori Kimura; Kenshi Baba; Mitsuru Tanaka. Organizing the Challenges Faced by Municipalities while Formulating Climate Change Adaptation Plans. Sustainability 2020, 12, 1203 .
AMA StyleAsako Iwami, Takanori Matsui, Michinori Kimura, Kenshi Baba, Mitsuru Tanaka. Organizing the Challenges Faced by Municipalities while Formulating Climate Change Adaptation Plans. Sustainability. 2020; 12 (3):1203.
Chicago/Turabian StyleAsako Iwami; Takanori Matsui; Michinori Kimura; Kenshi Baba; Mitsuru Tanaka. 2020. "Organizing the Challenges Faced by Municipalities while Formulating Climate Change Adaptation Plans." Sustainability 12, no. 3: 1203.
To promote Bio-Energy with Carbon dioxide Capture and Storage (BECCS), which aims to replace fossil fuels with bio energy and store carbon underground, and Reducing Emissions from Deforestation and forest Degradation (REDD+), which aims to reduce the carbon emissions produced by forest degradation, it is important to build forest management plans based on the scientific prediction of forest dynamics. For Measurement, Reporting and Verification (MRV) at an individual tree level, it is expected that techniques will be developed to support forest management via the effective monitoring of changes to individual trees. In this study, an end-to-end process was developed: (1) detecting individual trees from Unmanned Aerial Vehicle (UAV) derived digital images; (2) estimating the stand structure from crown images; (3) visualizing future carbon dynamics using a forest ecosystem process model. This process could detect 93.4% of individual trees, successfully classified two species using Convolutional Neural Network (CNN) with 83.6% accuracy and evaluated future ecosystem carbon dynamics and the source-sink balance using individual based model FORMIND. Further ideas for improving the sub-process of the end to end process were discussed. This process is expected to contribute to activities concerned with carbon management such as designing smart utilization for biomass resources and projecting scenarios for the sustainable use of ecosystem services.
Ayana Fujimoto; Chihiro Haga; Takanori Matsui; Takashi Machimura; Kiichiro Hayashi; Satoru Sugita; Hiroaki Takagi; Haga. An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation. Forests 2019, 10, 680 .
AMA StyleAyana Fujimoto, Chihiro Haga, Takanori Matsui, Takashi Machimura, Kiichiro Hayashi, Satoru Sugita, Hiroaki Takagi, Haga. An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation. Forests. 2019; 10 (8):680.
Chicago/Turabian StyleAyana Fujimoto; Chihiro Haga; Takanori Matsui; Takashi Machimura; Kiichiro Hayashi; Satoru Sugita; Hiroaki Takagi; Haga. 2019. "An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation." Forests 10, no. 8: 680.
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.
Chihiro Haga; Takahiro Inoue; Wataru Hotta; Rei Shibata; Shizuka Hashimoto; Hiroko Kurokawa; Takashi Machimura; Takanori Matsui; Junko Morimoto; Hideaki Shibata. Simulation of natural capital and ecosystem services in a watershed in Northern Japan focusing on the future underuse of nature: by linking forest landscape model and social scenarios. Sustainability Science 2018, 14, 89 -106.
AMA StyleChihiro Haga, Takahiro Inoue, Wataru Hotta, Rei Shibata, Shizuka Hashimoto, Hiroko Kurokawa, Takashi Machimura, Takanori Matsui, Junko Morimoto, Hideaki Shibata. Simulation of natural capital and ecosystem services in a watershed in Northern Japan focusing on the future underuse of nature: by linking forest landscape model and social scenarios. Sustainability Science. 2018; 14 (1):89-106.
Chicago/Turabian StyleChihiro Haga; Takahiro Inoue; Wataru Hotta; Rei Shibata; Shizuka Hashimoto; Hiroko Kurokawa; Takashi Machimura; Takanori Matsui; Junko Morimoto; Hideaki Shibata. 2018. "Simulation of natural capital and ecosystem services in a watershed in Northern Japan focusing on the future underuse of nature: by linking forest landscape model and social scenarios." Sustainability Science 14, no. 1: 89-106.
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.
Takanori Matsui; Chihiro Haga; Osamu Saito; Shizuka Hashimoto. Spatially explicit residential and working population assumptions for projecting and assessing natural capital and ecosystem services in Japan. Sustainability Science 2018, 14, 23 -37.
AMA StyleTakanori Matsui, Chihiro Haga, Osamu Saito, Shizuka Hashimoto. Spatially explicit residential and working population assumptions for projecting and assessing natural capital and ecosystem services in Japan. Sustainability Science. 2018; 14 (1):23-37.
Chicago/Turabian StyleTakanori Matsui; Chihiro Haga; Osamu Saito; Shizuka Hashimoto. 2018. "Spatially explicit residential and working population assumptions for projecting and assessing natural capital and ecosystem services in Japan." Sustainability Science 14, no. 1: 23-37.
Although the Intergovernmental Platform on Biodiversity and Ecosystem Services has revealed that the development of scenarios is crucial for helping decision makers identify the potential impact of different policy options, there is a lack of reported scenario approach studies in Asia. A new 5-year research project (PANCES) has been developed for predicting and assessing the natural capital and ecosystem services in Japan using an integrated social–ecological system approach via the participation of 15 research institutions and more than 100 researchers. PANCES conducts the development of national-scale future scenarios for exploring potential changes in natural capital and ecosystem services, as well as human well-being, up to 2050 using key direct and indirect drivers including climate change, depopulation, and super-aging, as well as globalization and technological innovation. The Delphi method is employed to generate key drivers that determine different future pathways. Based on the two drivers for scenario axes identified by the Delphi survey and extensive discussion with project members and policy makers, four future scenarios are created, “Natural capital-based compact society”, “Natural capital-based dispersed society”, “Produced capital-based compact society”, and “Produced capital-based dispersed society”, respectively, in addition to the business-as-usual scenario. This study describes a novel approach for collectively designing national-scale future scenarios with qualitative storylines and a visual illustration of the developed scenarios in Japan.
Osamu Saito; Chiho Kamiyama; Shizuka Hashimoto; Takanori Matsui; Kikuko Shoyama; Kei Kabaya; Tomoko Uetake; Hisatomo Taki; Yoichi Ishikawa; Kyohei Matsushita; Fumihiro Yamane; Juri Hori; Toshinori Ariga; Kazuhiko Takeuchi. Co-design of national-scale future scenarios in Japan to predict and assess natural capital and ecosystem services. Sustainability Science 2018, 14, 5 -21.
AMA StyleOsamu Saito, Chiho Kamiyama, Shizuka Hashimoto, Takanori Matsui, Kikuko Shoyama, Kei Kabaya, Tomoko Uetake, Hisatomo Taki, Yoichi Ishikawa, Kyohei Matsushita, Fumihiro Yamane, Juri Hori, Toshinori Ariga, Kazuhiko Takeuchi. Co-design of national-scale future scenarios in Japan to predict and assess natural capital and ecosystem services. Sustainability Science. 2018; 14 (1):5-21.
Chicago/Turabian StyleOsamu Saito; Chiho Kamiyama; Shizuka Hashimoto; Takanori Matsui; Kikuko Shoyama; Kei Kabaya; Tomoko Uetake; Hisatomo Taki; Yoichi Ishikawa; Kyohei Matsushita; Fumihiro Yamane; Juri Hori; Toshinori Ariga; Kazuhiko Takeuchi. 2018. "Co-design of national-scale future scenarios in Japan to predict and assess natural capital and ecosystem services." Sustainability Science 14, no. 1: 5-21.
People in rural areas often grow foods in their home gardens and share them through food-sharing networks. Besides the obvious economic benefits, such shared food via non-market transactions enriches the inhabitants’ lives by strengthening their social relationships and nutritional quality. These shadow benefits of non-market food are qualitatively recognized, but have not been fully integrated into formal accounting systems. Thus, the present study quantifies the shadow benefits of food-sharing networks by considering the non-market food distribution on Hachijo Island, Japan. Based on interviews and questionnaire surveys, we graphically visualized the structure of the food-sharing networks and the seasonality of the shared-food species. The study revealed the proportions of foods acquired through self-production, sharing networks and purchases by systematic food category, and quantified the monetary and nutritional values of the non-market foods. The island residents shared various seasonal foods within and beyond the island, and the non-market food was beneficial to their health. More than 20% of the islanders’ annual consumption of potatoes, vegetables, seafood, and fruits were obtained through the food-sharing networks. Non-market food largely saved the household expenditure and provided a wide variety of nutrients. As future perspectives of food-sharing networks, we suggest balancing market-based and non-market food provisions, promoting local production for local consumption, and designing local food resilience in disaster events.
Kana Tatebayashi; Chiho Kamiyama; Takanori Matsui; Osamu Saito; Takashi Machimura. Accounting shadow benefits of non-market food through food-sharing networks on Hachijo Island, Japan. Sustainability Science 2018, 14, 469 -486.
AMA StyleKana Tatebayashi, Chiho Kamiyama, Takanori Matsui, Osamu Saito, Takashi Machimura. Accounting shadow benefits of non-market food through food-sharing networks on Hachijo Island, Japan. Sustainability Science. 2018; 14 (2):469-486.
Chicago/Turabian StyleKana Tatebayashi; Chiho Kamiyama; Takanori Matsui; Osamu Saito; Takashi Machimura. 2018. "Accounting shadow benefits of non-market food through food-sharing networks on Hachijo Island, Japan." Sustainability Science 14, no. 2: 469-486.
Keiko Hori; Takanori Matsui; Satoshi Ono; Ken-Ichi Fukui; Takashi Hasuike; Takashi Machimura. Development and Application of a Multi-Objective Optimization Tool for Renewable Energy Mix in Municipalities. Transactions of the Japanese Society for Artificial Intelligence 2018, 33, 1 -SGAI01_1.
AMA StyleKeiko Hori, Takanori Matsui, Satoshi Ono, Ken-Ichi Fukui, Takashi Hasuike, Takashi Machimura. Development and Application of a Multi-Objective Optimization Tool for Renewable Energy Mix in Municipalities. Transactions of the Japanese Society for Artificial Intelligence. 2018; 33 (3):1-SGAI01_1.
Chicago/Turabian StyleKeiko Hori; Takanori Matsui; Satoshi Ono; Ken-Ichi Fukui; Takashi Hasuike; Takashi Machimura. 2018. "Development and Application of a Multi-Objective Optimization Tool for Renewable Energy Mix in Municipalities." Transactions of the Japanese Society for Artificial Intelligence 33, no. 3: 1-SGAI01_1.
To expand the use of renewable energy, it is necessary to optimize energy production at a local level through an appropriate combination of different renewable energy resources. Additionally, the environmental impacts from the use of renewable resources must be considered from different perspectives. Thus, this study aims to develop a decision tool that evaluates and optimizes the renewable energy mix at a regional scale with regard to various environmental impacts. This tool was developed by creating a municipal energy database that includes five renewable energies (solar, wind, small- and medium-scale hydro, geothermal and biomass energy) and six evaluation indicators (proportion of developed renewable energy, economic balance, installed wind power, decrease in CO2 emissions, circulation rate of biomass resource, and impacted ecosystem area). Specifying different constraints in the model allowed investigation of the optimal renewable energy combination in a study area for two different scenarios, with the results highlighting the trade-offs between the scenarios. We also optimized the combination of different renewable energies for every municipality across Japan, while incorporating the natural conditions and varying demand structure. In conclusion, the tool developed in this study could support decision-making regarding the development of renewable energy resources.
Keiko Hori; Takanori Matsui; Takashi Hasuike; Ken-Ichi Fukui; Takashi Machimura. Development and application of the renewable energy regional optimization utility tool for environmental sustainability: REROUTES. Renewable Energy 2016, 93, 548 -561.
AMA StyleKeiko Hori, Takanori Matsui, Takashi Hasuike, Ken-Ichi Fukui, Takashi Machimura. Development and application of the renewable energy regional optimization utility tool for environmental sustainability: REROUTES. Renewable Energy. 2016; 93 ():548-561.
Chicago/Turabian StyleKeiko Hori; Takanori Matsui; Takashi Hasuike; Ken-Ichi Fukui; Takashi Machimura. 2016. "Development and application of the renewable energy regional optimization utility tool for environmental sustainability: REROUTES." Renewable Energy 93, no. : 548-561.
Takashi Machimura; Tatsuya Miyauchi; Shogo Kondo; Tomoya Furubayashi; Takanori Matsui. Modified soil hydrological schemes for process-based ecosystem model Biome-BGC. Hydrological Research Letters 2016, 10, 15 -20.
AMA StyleTakashi Machimura, Tatsuya Miyauchi, Shogo Kondo, Tomoya Furubayashi, Takanori Matsui. Modified soil hydrological schemes for process-based ecosystem model Biome-BGC. Hydrological Research Letters. 2016; 10 (1):15-20.
Chicago/Turabian StyleTakashi Machimura; Tatsuya Miyauchi; Shogo Kondo; Tomoya Furubayashi; Takanori Matsui. 2016. "Modified soil hydrological schemes for process-based ecosystem model Biome-BGC." Hydrological Research Letters 10, no. 1: 15-20.
Makoto Ooba; Kiichiro Hayashi; Minoru Fujii; Tsuyoshi Fujita; Takashi Machimura; Takanori Matsui. A long-term assessment of ecological-economic sustainability of woody biomass production in Japan. Journal of Cleaner Production 2015, 88, 318 -325.
AMA StyleMakoto Ooba, Kiichiro Hayashi, Minoru Fujii, Tsuyoshi Fujita, Takashi Machimura, Takanori Matsui. A long-term assessment of ecological-economic sustainability of woody biomass production in Japan. Journal of Cleaner Production. 2015; 88 ():318-325.
Chicago/Turabian StyleMakoto Ooba; Kiichiro Hayashi; Minoru Fujii; Tsuyoshi Fujita; Takashi Machimura; Takanori Matsui. 2015. "A long-term assessment of ecological-economic sustainability of woody biomass production in Japan." Journal of Cleaner Production 88, no. : 318-325.
Kana Tatebayashi; Takanori Matsui; Makoto Ooba; Takashi Machimura; Yusuke Tani; Akifumi Nakao; Yugo Yamamoto. A DEVELOPMENT OF OPTIMIZATION MODEL OF TIMBER PRODUCTION AND UTILIZATION SYSTEM FOR REDUCTION OF CARBON IN AREAS. Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 2015, 71, 1 .
AMA StyleKana Tatebayashi, Takanori Matsui, Makoto Ooba, Takashi Machimura, Yusuke Tani, Akifumi Nakao, Yugo Yamamoto. A DEVELOPMENT OF OPTIMIZATION MODEL OF TIMBER PRODUCTION AND UTILIZATION SYSTEM FOR REDUCTION OF CARBON IN AREAS. Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research). 2015; 71 (6):1.
Chicago/Turabian StyleKana Tatebayashi; Takanori Matsui; Makoto Ooba; Takashi Machimura; Yusuke Tani; Akifumi Nakao; Yugo Yamamoto. 2015. "A DEVELOPMENT OF OPTIMIZATION MODEL OF TIMBER PRODUCTION AND UTILIZATION SYSTEM FOR REDUCTION OF CARBON IN AREAS." Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 71, no. 6: 1.
Jarkko Havas; Takanori Matsui; Robert N. Shaw; Takashi Machimura. Ecosystem services management tool development guidelines and framework revision for industries, industry policy makers and industry groups. Ecosystem Services 2014, 7, 187 -200.
AMA StyleJarkko Havas, Takanori Matsui, Robert N. Shaw, Takashi Machimura. Ecosystem services management tool development guidelines and framework revision for industries, industry policy makers and industry groups. Ecosystem Services. 2014; 7 ():187-200.
Chicago/Turabian StyleJarkko Havas; Takanori Matsui; Robert N. Shaw; Takashi Machimura. 2014. "Ecosystem services management tool development guidelines and framework revision for industries, industry policy makers and industry groups." Ecosystem Services 7, no. : 187-200.
A quantitative assessment of carbon circulation was carried out between forest ecosystems and human society on a city scale from multiple aspects. A biogeochemical forest model that had been developed for the evaluation of ecosystem services (carbon sequestration, nitrogen leaching, water runoff, and wood biomass provisioning) was used for simulation under several forest management scenarios. From the perspective of trade-offs between the practice and cost of management, the management and production costs of each scenario were calculated using a forestry cost model. Management scenarios were prepared with a business-as-usual (BAU) approach, management plans proposed by local forest administrators, and the authors that promote management and forest conversion into natural (secondary) forest. From the results, carbon sequestration under active forest management was two or four times larger than that under the BAU scenario in 2100. Volumetric cost of the wood biomass production depended on the schedule of forest management (thinning and rotation length). For an understanding of these results about carbon circulation from the models, we also investigated carbon demands from human society, such as wood consumption for construction and paper products. The production of wood was somewhat lower than the demand from the wood industry. However, promoting production according to the scenarios applied in the study was effective for meeting supply and demand. The carbon sequestration by the forest in Toyota City was one twenty-fifth of the carbon emissions from energy consumption in the city. Finally, increased production of wood biomass that considers ecological and economic effects can be sufficient to satisfy the demand for wood biomass for the activities of human society.
Makoto Ooba; Kiichiro Hayashi; Takashi Machimura; Takanori Matsui. Assessments of regional carbon circulation from multiple aspects by a biogeochemical model: A case study of forests in Toyota, Japan. Journal of Agricultural Meteorology 2014, 70, 41 -54.
AMA StyleMakoto Ooba, Kiichiro Hayashi, Takashi Machimura, Takanori Matsui. Assessments of regional carbon circulation from multiple aspects by a biogeochemical model: A case study of forests in Toyota, Japan. Journal of Agricultural Meteorology. 2014; 70 (1):41-54.
Chicago/Turabian StyleMakoto Ooba; Kiichiro Hayashi; Takashi Machimura; Takanori Matsui. 2014. "Assessments of regional carbon circulation from multiple aspects by a biogeochemical model: A case study of forests in Toyota, Japan." Journal of Agricultural Meteorology 70, no. 1: 41-54.
Keiko Hori; Takanori Matsui; Takashi Machimura. DEVELOPMENT Of A TOOL TO OPTIMIZE AND EVALUATE RENEWABLE ENERGY MIX IN MUNICIPALITIES INCLUDING MULTIPLE ENVIRONMENTAL CRITERIA. Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 2014, 70, II_195 -II_206.
AMA StyleKeiko Hori, Takanori Matsui, Takashi Machimura. DEVELOPMENT Of A TOOL TO OPTIMIZE AND EVALUATE RENEWABLE ENERGY MIX IN MUNICIPALITIES INCLUDING MULTIPLE ENVIRONMENTAL CRITERIA. Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research). 2014; 70 (6):II_195-II_206.
Chicago/Turabian StyleKeiko Hori; Takanori Matsui; Takashi Machimura. 2014. "DEVELOPMENT Of A TOOL TO OPTIMIZE AND EVALUATE RENEWABLE ENERGY MIX IN MUNICIPALITIES INCLUDING MULTIPLE ENVIRONMENTAL CRITERIA." Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 70, no. 6: II_195-II_206.