Items where Research Program is "Strategic Initiatives (SI)" and Year is 2022
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FABLE, (2022). Pathways for food and land use systems to contribute to global biodiversity targets. FABLE Policy Brief. Alliance of Bioversity International and the International Center for Tropical Agriculture & Sustainable Development Solutions Network (SDSN) , Montpellier/Paris, France.
Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, See, L.
ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., MacFeely, S., Bowser, A., Campbell, J., Moorthy, I., Danylo, O., McCallum, I.
ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S.
(2022).
Demonstrating the potential of Picture Pile as a citizen science tool for SDG monitoring.
Environmental Science & Policy 128, 81-93. 10.1016/j.envsci.2021.10.034.
Fritz, S., Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L.
ORCID: https://orcid.org/0000-0002-2665-7065, Shchepashchenko, D.
ORCID: https://orcid.org/0000-0002-7814-4990, Hofhansl, F.
ORCID: https://orcid.org/0000-0003-0073-0946, Jung, M., Dürauer, M., Georgieva, I., Danylo, O., Lesiv, M.
ORCID: https://orcid.org/0000-0001-9846-3342 et al.
(2022).
A Continental Assessment of the Drivers of Tropical Deforestation with a Focus on Protected Areas.
Frontiers in Conservation Science 3, e830248. 10.3389/fcosc.2022.830248.
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Jung, M., Lewis, M. ORCID: https://orcid.org/0000-0003-2244-4078, Lesiv, M.
ORCID: https://orcid.org/0000-0001-9846-3342, Arnell, A., Fritz, S. & Visconti, P.
(2022).
The global exposure of species ranges and protected areas to forest management.
Diversity and Distributions 10.1111/ddi.13582.
(In Press)
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Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L.
ORCID: https://orcid.org/0000-0002-2665-7065, Georgieva, I., Shchepashchenko, D.
ORCID: https://orcid.org/0000-0002-7814-4990, Danylo, O., Dürauer, M., Bartl, H., Hofhansl, F.
ORCID: https://orcid.org/0000-0003-0073-0946, Zadorozhniuk, R., Burianchuk, M. et al.
(2022).
Drivers of tropical forest loss between 2008 and 2019.
Scientific Data 9 (1), e146. 10.1038/s41597-022-01227-3.
Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Shchepashchenko, D.
ORCID: https://orcid.org/0000-0002-7814-4990, Buchhorn, M., See, L.
ORCID: https://orcid.org/0000-0002-2665-7065, Dürauer, M., Georgieva, I., Jung, M., Hofhansl, F.
ORCID: https://orcid.org/0000-0003-0073-0946, Schulze, K., Bilous, A. et al.
(2022).
Global forest management data for 2015 at a 100 m resolution.
Scientific Data 9 (1), e199. 10.1038/s41597-022-01332-3.
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McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Kyba, C.C.M., Laso Bayas, J.C.
ORCID: https://orcid.org/0000-0003-2844-3842, Moltchanova, E., Cooper, M., Crespo Cuaresma, J., Pachauri, S.
ORCID: https://orcid.org/0000-0001-8138-3178, See, L.
ORCID: https://orcid.org/0000-0002-2665-7065, Danylo, O., Moorthy, I. et al.
(2022).
Estimating global economic well-being with unlit settlements.
Nature Communications 13, e2459. 10.1038/s41467-022-30099-9.
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Salk, C., Moltchanova, E., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., McCallum, I.
ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S.
(2022).
How many people need to classify the same image? A method for optimizing volunteer contributions in binary geographical classifications.
PLOS ONE 17 (5), e0267114. 10.1371/journal.pone.0267114.
See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Georgieva, I., Dürauer, M., Kemper, T., Corbane, C., Maffenini, L., Gallego, J., Pesaresi, M., Sirbu, F., Ahmed, R. et al.
(2022).
A crowdsourced global data set for validating built-up surface layers.
Scientific Data 9 (1) 10.1038/s41597-021-01105-4.
See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Laso Bayas, J.C.
ORCID: https://orcid.org/0000-0003-2844-3842, Lesiv, M.
ORCID: https://orcid.org/0000-0001-9846-3342, Shchepashchenko, D.
ORCID: https://orcid.org/0000-0002-7814-4990, Danylo, O., McCallum, I.
ORCID: https://orcid.org/0000-0002-5812-9988, Dürauer, M., Georgieva, I., Domian, D., Fraisl, D.
ORCID: https://orcid.org/0000-0001-7523-7967 et al.
(2022).
Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience.
Environmental Research Letters 17 (6), e065003. 10.1088/1748-9326/ac6ad7.
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Xu, L., Herold, M., Tsendbazar, N.-E., Masiliūnas, D., Li, L., Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Fritz, S. & Verbesselt, J.
(2022).
Time series analysis for global land cover change monitoring: A comparison across sensors.
Remote Sensing of Environment 271, e112905. 10.1016/j.rse.2022.112905.