Hotspots of uncertainty in land‐use and land‐cover change projections: a global‐scale model comparison R Prestele, P Alexander, MDA Rounsevell, A Arneth, K Calvin, J Doelman, ... Global change biology 22 (12), 3967-3983, 2016 | 268 | 2016 |
Assessing uncertainties in land cover projections P Alexander, R Prestele, PH Verburg, A Arneth, C Baranzelli, ... Global change biology 23 (2), 767-781, 2017 | 159 | 2017 |
Estimating the global distribution of field size using crowdsourcing M Lesiv, JC Laso Bayas, L See, M Duerauer, D Dahlia, N Durando, ... Global change biology 25 (1), 174-186, 2019 | 148 | 2019 |
Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments R Prestele, A Arneth, A Bondeau, N Noblet-Ducoudré, TAM Pugh, S Sitch, ... Earth System Dynamics 8 (2), 369-386, 2017 | 101 | 2017 |
A spatially explicit representation of conservation agriculture for application in global change studies R Prestele, AL Hirsch, EL Davin, SI Seneviratne, PH Verburg Global change biology 24 (9), 4038-4053, 2018 | 80 | 2018 |
Global forest management data for 2015 at a 100 m resolution M Lesiv, D Schepaschenko, M Buchhorn, L See, M Dürauer, I Georgieva, ... Scientific data 9 (1), 199, 2022 | 52 | 2022 |
The overlooked spatial dimension of climate‐smart agriculture R Prestele, PH Verburg Global change biology 26 (3), 1045-1054, 2020 | 47 | 2020 |
Modelled biophysical impacts of conservation agriculture on local climates AL Hirsch, R Prestele, EL Davin, SI Seneviratne, W Thiery, PH Verburg Global change biology 24 (10), 4758-4774, 2018 | 31 | 2018 |
A global assessment of gross and net land change dynamics for current conditions and future scenarios R Fuchs, R Prestele, PH Verburg Earth System Dynamics 9 (2), 441-458, 2018 | 23 | 2018 |
Agent‐Based Modeling of Alternative Futures in the British Land Use System C Brown, B Seo, P Alexander, V Burton, EA Chacón‐Montalván, ... Earth's Future 10 (11), e2022EF002905, 2022 | 20 | 2022 |
Drivers of tropical forest loss between 2008 and 2019 JC Laso Bayas, L See, I Georgieva, D Schepaschenko, O Danylo, ... Scientific data 9 (1), 146, 2022 | 20 | 2022 |
Large variability in response to projected climate and land‐use changes among European bumblebee species R Prestele, C Brown, C Polce, J Maes, P Whitehorn Global Change Biology 27 (19), 4530-4545, 2021 | 16 | 2021 |
A crowdsourced global data set for validating built-up surface layers L See, I Georgieva, M Duerauer, T Kemper, C Corbane, L Maffenini, ... Scientific Data 9 (1), 13, 2022 | 10 | 2022 |
Crowdsourcing deforestation in the tropics during the last decade: Data sets from the “Driver of Tropical Forest Loss” Geo-Wiki campaign JC Laso Bayas, L See, I Georgieva, D Shchepashchenko, O Danylo, ... International Institute for Applied Systems Analysis (IIASA), 2021 | 4 | 2021 |
Global forest management data at a 100m resolution for the year 2015 M Lesiv, D Shchepashchenko, M Buchhorn, L See, M Dürauer, ... Zenodo, 2021 | 3 | 2021 |
Methodology for generating a global forest management layer M Lesiv, D Shchepashchenko, M Buchhorn, L See, M Duerauer, ... Zenodo, 2020 | 3 | 2020 |
A global assessment of gross and net land change dynamics for current conditions and future scenarios, Earth Syst. Dynam., 9, 441–458 R Fuchs, R Prestele, PH Verburg | 3 | 2018 |
Current challenges of implementing land-use and land-cover change in climate assessments R Prestele, A Arneth, A Bondeau, N De Noblet-Ducoudré, T AM August, 0 | 1 | |
An assessment of future rewilding potential in the United Kingdom C Brown, R Prestele, M Rounsevell Conservation Biology, e14276, 2024 | | 2024 |
Linking land use and climate: the key role of uncertainty and spatial location R Prestele Amsterdam: Vrije Universiteit, 2019 | | 2019 |