ヤナガワ　アキ   AKI YANAGAWA   柳川　亜季    所属   理工学部 総合理工学科    データサイエンス学環    職種   准教授
言語種別	日本語
発行・発表の年月	2026/09
形態種別	学術雑誌
査読	査読あり
標題	Identifying multifunctional agricultural communities supporting food production and threatened plant species in Japan
執筆形態	単著
掲載誌名	Environmental Challenges
掲載区分	国外
出版社・発行元	Elsevier
巻・号・頁	24,101601頁
総ページ数	9
担当区分	筆頭著者,最終著者,責任著者
著者・共著者	Aki Yanagawa
概要	Agricultural landscapes are expected to support multiple ecosystem functions, including food production and biodiversity conservation. However, agricultural modernization has often enhanced productivity at the expense of biodiversity, contributing to the decline of many plant species associated with agricultural environments. Identifying agricultural lands where both coexist is important for sustainable land management. This study identified agricultural communities in Japan where food-production and biodiversity conservation functions coexist. Evaluation maps for both functions were developed using nationwide datasets. Food-production function was assessed for each agricultural community using census data, while biodiversity conservation function was based on the distribution of 23 widely distributed threatened plant species. These datasets were integrated using GIS, and communities satisfying both criteria were extracted. Among 148,399 small agricultural-community polygons analysed nationwide, 1859 polygons had high food-production function and records of at least one threatened plant species. These polygons contained approximately 80,300 ha of cultivated land. A supplementary analysis of dominant sales-sector composition showed that the extracted polygons differed significantly from Japanese farmland as a whole, with vegetable, ornamental-plant and livestock sectors over-represented and rice under-represented. Communities with high biodiversity conservation function were often associated with rice-based agricultural systems, whereas communities with particularly high food-production function frequently involved livestock production. In several regions, especially areas with wetlands and irrigation networks, multiple threatened plant species occurred within agricultural landscapes. These findings indicate that production and conservation are not necessarily mutually exclusive. The spatial screening approach developed here can support sustainable land management and biodiversity conservation policies.