Agroecosystem monitoring and indicators from farm to continent to improve climate and biodiversity
Co-organized by ERE1
Convener:
Marijn van der Velde
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Co-conveners:
Anina GilgenECSECS,
Felix Herzog,
Emma Soule,
Xiaopeng SongECSECS,
Jinwei Dong
Orals
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Fri, 19 Apr, 14:00–15:45 (CEST) Room 2.23
Posters on site
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Attendance Thu, 18 Apr, 16:15–18:00 (CEST) | Display Thu, 18 Apr, 14:00–18:00 Hall X1
Posters virtual
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Attendance Thu, 18 Apr, 14:00–15:45 (CEST) | Display Thu, 18 Apr, 08:30–18:00 vHall X1
In this session, we invite contributions that focus on quantitative evaluation, indicators, and sustainability assessment frameworks for monitoring purposes. This includes novel methods that for example gather in-situ data through citizen science, use farm management information systems, surveys, or use remote sensing to observe changes in farm management and environment including landscape and biodiversity. Modelling approaches that evaluate trade-offs with food production, quantification of agroecosystem services, GHG accounting, and methodologies for carbon farming certification schemes in cropland and grassland are also welcome.
Contributions can be at different levels, from pixels to parcels, from farms to landscapes, and from regions to continents. Linking these levels is relevant in order to relate individual farm measures to (inter)national policy objectives.
Session assets
14:00–14:05
5-minute convener introduction
14:05–14:25
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EGU24-21456
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solicited
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Highlight
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On-site presentation
14:25–14:35
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EGU24-21429
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Highlight
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On-site presentation
14:35–14:45
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EGU24-1070
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ECS
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On-site presentation
14:45–14:55
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EGU24-3443
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Highlight
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On-site presentation
14:55–15:05
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EGU24-16609
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On-site presentation
15:05–15:15
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EGU24-15266
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Highlight
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Virtual presentation
15:15–15:25
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EGU24-13479
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ECS
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Highlight
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On-site presentation
15:25–15:35
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EGU24-7035
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Highlight
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On-site presentation
15:35–15:45
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EGU24-13714
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Highlight
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On-site presentation
X1.89
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EGU24-9284
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ECS
X1.91
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EGU24-11426
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ECS
Enhanced monitoring of rubber plantations in complex tropical regions: Integrating all Landsat/Sentinel data for precise classification and stand age estimation
(withdrawn after no-show)
X1.92
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EGU24-15207
Ground truth generation for crop classification using Street View
(withdrawn)