Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Caterina Barrasso"'
Publikováno v:
Ecological Indicators, Vol 169, Iss , Pp 112780- (2024)
The decline of segetal flora species across Europe, driven by intensified agricultural practices, is impacting other taxa and ecosystem functions. Result-based payments to farmers offer an effective solution to conserve these species, but the high co
Externí odkaz:
https://doaj.org/article/cb4d80ebb3bb4cda8c63773304b8099b
Autor:
Julia Fischer, Lukas Egli, Juliane Groth, Caterina Barrasso, Steffen Ehrmann, Heiko Figgemeier, Christin Henzen, Carsten Meyer, Ralph Müller-Pfefferkorn, Arne Rümmler, Michael Wagner, Lars Bernard, Ralf Seppelt
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 1510-1529 (2023)
Geospatial data are fundamental in most global-change and sustainability-related domains. However, readily accessible information on data quality and provenance is often missing or hardly accessible for users due to technical or perceptual barriers,
Externí odkaz:
https://doaj.org/article/9bb9be8e332b4b6db135ac4d8b2399bf
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0222764 (2019)
Classical crop models have been developed to predict crop yield and quality, and they are based on physiological and environmental inputs. After molecular discoveries, models should integrate genetic variation to allow predictions that are more genot
Externí odkaz:
https://doaj.org/article/0542d373699f4beaa0e4d4793f3c25c0
Land cover (LC) is an important indicator to reach several of the targets under the Global Goals. Accurate global LC time-series are thus vital to monitor sustainable development. Although the number and quality of open-access, remotely sensed LC pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db188dd2eb8b3e9818ff9d6435edb5c1
https://doi.org/10.5194/egusphere-egu22-6287
https://doi.org/10.5194/egusphere-egu22-6287
Publikováno v:
PLoS ONE
Plos One 10 (14), 1-24. (2019)
PLoS ONE, Public Library of Science, 2019, 14 (10), pp.1-24. ⟨10.1371/journal.pone.0222764⟩
PLoS ONE, Vol 14, Iss 10, p e0222764 (2019)
Plos One 10 (14), 1-24. (2019)
PLoS ONE, Public Library of Science, 2019, 14 (10), pp.1-24. ⟨10.1371/journal.pone.0222764⟩
PLoS ONE, Vol 14, Iss 10, p e0222764 (2019)
International audience; Classical crop models have been developed to predict crop yield and quality, and they are based on physiological and environmental inputs. After molecular discoveries, models should integrate genetic variation to allow predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c97f1747ddfdda3f9d9df0a0799de9f
https://doi.org/10.1371/journal.pone.0222764
https://doi.org/10.1371/journal.pone.0222764