The Digital Agricultural Knowledge and Information System (DAKIS): Employing digitalisation to encourage diversified and multifunctional agricultural systems

被引:11
|
作者
Mouratiadou, Ioanna [1 ,2 ]
Lemke, Nahleen [1 ]
Chen, Cheng [1 ]
Wartenberg, Ariani [1 ]
Bloch, Ralf [3 ]
Donat, Marco [1 ]
Gaiser, Thomas [4 ]
Basavegowda, Deepak Hanike [5 ]
Helming, Katharina [1 ,3 ]
Yekani, Seyed Ali Hosseini [1 ]
Krull, Marcos [1 ]
Lingemann, Kai [6 ]
Macpherson, Joseph [1 ]
Melzer, Marvin [1 ]
Nendel, Claas [1 ,7 ,8 ]
Piorr, Annette [1 ]
Shaaban, Mostafa [1 ]
Zander, Peter [1 ]
Weltzien, Cornelia [5 ]
Bellingrath-Kimura, Sonoko Dorothea [1 ]
机构
[1] Leibniz Ctr Agr Landscape Res ZALF, Eberswalder Str 84, D-15374 Muncheberg, Germany
[2] ISARA, Lab Rural Studies Res Unit, 23 Rue Jean Baldassini, F-69364 Lyon 07, France
[3] Univ Sustainable Dev HNEE, Fac Landscape Management & Nat Conservat, Schickler Str 5, D-16225 Eberswalde, Germany
[4] Univ Bonn, Inst Crop Sci & Resource Conservat, D-53115 Bonn, Germany
[5] Leibniz Inst Agr Engn & Bioecon ATB, Max Eyth Allee 100, D-14469 Potsdam, Germany
[6] German Res Ctr Artificial Intelligence DFKI, Trippstadter Str 122, D-67663 Kaiserslautern, Germany
[7] Univ Potsdam, Inst Biochem & Biol, Muhlenberg 3, D-14476 Potsdam Golm, Germany
[8] Czech Acad Sci, Global Change Res Inst, Belidla 986 4a, Brno 60300, Czech Republic
关键词
Digital agriculture; Ecosystem services; Decision support system; Farming practices; Biodiversity; Modelling; Small-scale management; DECISION-SUPPORT-SYSTEMS; IMPACT ASSESSMENT; MANAGEMENT; POLICY;
D O I
10.1016/j.ese.2023.100274
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Multifunctional and diversified agriculture can address diverging pressures and demands by simulta-neously enhancing productivity, biodiversity, and the provision of ecosystem services. The use of digital technologies can support this by designing and managing resource-efficient and context-specific agri-cultural systems. We present the Digital Agricultural Knowledge and Information System (DAKIS) to demonstrate an approach that employs digital technologies to enable decision-making towards diver-sified and sustainable agriculture. To develop the DAKIS, we specified, together with stakeholders, re-quirements for a knowledge-based decision-support tool and reviewed the literature to identify limitations in the current generation of tools. The results of the review point towards recurring chal-lenges regarding the consideration of ecosystem services and biodiversity, the capacity to foster communication and cooperation between farmers and other actors, and the ability to link multiple spatiotemporal scales and sustainability levels. To overcome these challenges, the DAKIS provides a digital platform to support farmers' decision-making on land use and management via an integrative spatiotemporally explicit approach that analyses a wide range of data from various sources. The approach integrates remote and in situ sensors, artificial intelligence, modelling, stakeholder-stated demand for biodiversity and ecosystem services, and participatory sustainability impact assessment to address the diverse drivers affecting agricultural land use and management design, including natural and agronomic factors, economic and policy considerations, and socio-cultural preferences and settings. Ultimately, the DAKIS embeds the consideration of ecosystem services, biodiversity, and sustainability into farmers' decision-making and enables learning and progress towards site-adapted small-scale multifunctional and diversified agriculture while simultaneously supporting farmers' objectives and societal demands. (c) 2023 The Authors. Published by Elsevier B.V. on behalf of Chinese Society for Environmental Sciences, Harbin Institute of Technology, Chinese Research Academy of Environmental Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:13
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