Agriculture
Human land use and agriculture in particular are the principle drivers of many of our biggest environmental challenges. At the same time, current food systems fail to provide food security to all consumers or decent livelihoods to all farmers worldwide. This research will help identify ways to use our land better and to move our food system towards enhanced sustainability by examining key knowledge gaps through interdisciplinary, transdisciplinary and cross-scalar research.
Scientific significance
Given the importance of agriculture for human well-being and its huge environmental impact, it is sobering to note that the drivers, land management options and practices of truly sustainable agricultural land use are still largely unknown. This is largely due to the still prevalent disciplinary approach to agricultural research, which prevents the identification of interactions and trade-offs between different socio-economic and environmental dimensions of land use. This research will therefore use cutting-edge quantitative and qualitative methods from a range of different disciplines, ranging from local field surveys and farmer interviews, to regional and global data synthesis and modelling studies, to examine holistically the sustainability of different agricultural land use strategies.
Societal relevance
Achieving sustainable land use and sustainable food security represents one of the most important societal challenges of the coming decades. Our research will not only address key knowledge gaps, but also contribute to the identification of levers for the sustainable transformation of our food systems through solutions-oriented and transdisciplinary research. By adopting an applied and human-centered research approach our work will examine research questions and provide answers that are directly relevant for different food system actors and policy-makers.
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Agriculture Publications
Farm typologies for understanding farm systems and improving agricultural policy
2024. Agricultural Systems, 213, Art.Nr.: 103800. doi:10.1016/j.agsy.2023.103800
Modelling the global photovoltaic potential on land and its sensitivity to climate change
2023. Environmental Research Letters, 18 (10), Art.-Nr.: 104017. doi:10.1088/1748-9326/acf86f
Land-use change emissions based on high-resolution activity data substantially lower than previously estimated
2022. Environmental Research Letters, 17 (6), 064050. doi:10.1088/1748-9326/ac70d8
Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets
2022. Biogeosciences, 19 (10), 2699–2727. doi:10.5194/bg-19-2699-2022
On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2
2022. Carbon Balance and Management, 17 (1), Art.Nr. 15. doi:10.1186/s13021-022-00214-w
The effects of climate and land use on British bumblebees: Findings from a decade of citizen‐science observations
2022. Journal of Applied Ecology, 59 (7), 1837–1851. doi:10.1111/1365-2664.14191
Global land use changes are four times greater than previously estimated
2021. Nature Communications, 12 (1), Artikel-Nr.: 2501. doi:10.1038/s41467-021-22702-2
Simplistic understandings of farmer motivations could undermine the environmental potential of the common agricultural policy
2021. Land use policy, 101, Art.Nr. 105136. doi:10.1016/j.landusepol.2020.105136
How modelling paradigms affect simulated future land use change
2021. Earth System Dynamics, 12 (1), 211–231. doi:10.5194/esd-12-211-2021
Europe’s Green Deal offshores environmental damage to other nations
2020. Nature <London>, 586 (7831), 671–673. doi:10.1038/d41586-020-02991-1
Modelling food security: Bridging the gap between the micro and the macro scale
2020. Global environmental change, 63, 102085. doi:10.1016/j.gloenvcha.2020.102085
Transforming agricultural land use through marginal gains in the food system
2019. Global environmental change, 57, 101932. doi:10.1016/j.gloenvcha.2019.101932
Why the US–China trade war spells disaster for the Amazon
2019. Nature <London>, 567 (7749), 451–454. doi:10.1038/d41586-019-00896-2
Societal breakdown as an emergent property of large-scale behavioural models of land use change
2019. Earth System Dynamics, 10 (4), 809–845. doi:10.5194/esd-10-809-2019
Implementing land-based mitigation to achieve the Paris Agreement in Europe requires food system transformation
2019. Environmental research letters, 14 (10), Article: 104009. doi:10.1088/1748-9326/ab3744
Improving remotely-sensed crop monitoring by NDVI-based crop phenology estimators for corn and soybeans in Iowa and Illinois, USA
2019. Field crops research, 238, 113–128. doi:10.1016/j.fcr.2019.03.015
Achievement of Paris climate goals unlikely due to time lags in the land system
2019. Nature climate change, 9, 203–208. doi:10.1038/s41558-019-0400-5
The impact of conservation farming practices on Mediterranean agro-ecosystem services provisioning - meta-analysis
2019. Regional environmental change, 19, 2187–2202. doi:10.1007/s10113-018-1447-y
Coupled land use and ecological models reveal emergence and feedbacks in socio-ecological systems
2018. Ecography. doi:10.1111/ecog.04039
Representation of decision-making in European agricultural agent-based models
2018. Agricultural systems, 167, 143–160. doi:10.1016/j.agsy.2018.09.007
Evidence that organic farming promotes pest control
2018. Nature Sustainability, 1 (7), 361–368. doi:10.1038/s41893-018-0102-4
Modelling regional cropping patterns under scenarios of climate and socio-economic change in Hungary
2018. The science of the total environment, 622-623, 1611–1620. doi:10.1016/j.scitotenv.2017.10.038
Bright spots in agricultural landscapes: Identifying areas exceeding expectations for multifunctionality and biodiversity
2018. Journal of applied ecology, 55 (6), 2731–2743. doi:10.1111/1365-2664.13191
Empirical evidence for the diffusion of knowledge in land use change
2018. Journal of land use science, 1–44. doi:10.1080/1747423X.2018.1515995
Monitoring neonicotinoid exposure for bees in rural and peri-urban areas of the UK during the transition from pre- to post-moratorium
2018. Environmental science & technology, 52 (16), 9391–9402. doi:10.1021/acs.est.7b06573
Impacts of Land Use Change and Summer Monsoon on Nutrients and Sediment Exports from an Agricultural Catchment
2018. Water, 10 (5), 544. doi:10.3390/w10050544
Food supply and bioenergy production within the global cropland planetary boundary
2018. (P. C. Struik, Ed.) PLoS one, 13 (3), Art. Nr.: e0194695. doi:10.1371/journal.pone.0194695
Classification of rare land cover types : Distinguishing annual and perennial crops in an agricultural catchment in South Korea
2018. PLoS one, 13 (1), Art.Nr. e0190476. doi:10.1371/journal.pone.0190476
Could consumption of insects, cultured meat or imitation meat reduce global agricultural land use?
2017. Global food security, 15, 22–32. doi:10.1016/j.gfs.2017.04.001
The future potential for wine production in Scotland under high-end climate change
2017. Regional environmental change, 1–10. doi:10.1007/s10113-017-1240-3
Behavioral models of climate change adaptation and mitigation in land-based sectors
2017. Wiley interdisciplinary reviews / Climate change, 8 (2), Art.Nr. e448. doi:10.1002/wcc.448
Relating farmer’s perceptions of climate change risk to adaptation behaviour in Hungary
2017. Journal of environmental management, 185, 21–30. doi:10.1016/j.jenvman.2016.10.051
To what extent are land resource managers preparing for high-end climate change in Scotland?
2017. Climatic change, 141 (2), 181–195. doi:10.1007/s10584-016-1881-0
Losses, inefficiencies and waste in the global food system
2017. Agricultural systems, 153, 190–200. doi:10.1016/j.agsy.2017.01.014
Human appropriation of land for food : The role of diet
2016. Global environmental change, 41, 88–98. doi:10.1016/j.gloenvcha.2016.09.005
Crop selection under price and yield fluctuation : Analysis of agro-economic time series from South Korea
2016. Agricultural systems, 148, 1–11. doi:10.1016/j.agsy.2016.06.003
Mapping Fractional Land Use and Land Cover in a Monsoon Region: The Effects of Data Processing Options
2016. IEEE journal of selected topics in applied earth observations and remote sensing, 9 (9), 3941–3956. doi:10.1109/JSTARS.2016.2544802
Scale-dependent effects of landscape composition and configuration on natural enemy diversity, crop herbivory, and yields
2016. Ecological applications, 26 (2), 448–462. doi:10.1890/15-0856
Climate change impact modelling needs to include cross-sectoral interactions
2016. Nature climate change, 6 (9), 885–890. doi:10.1038/nclimate3039
Land managers’ behaviours modulate pathways to visions of future land systems
2016. Regional environmental change, 1–15. doi:10.1007/s10113-016-0999-y
Assessing uncertainties in global cropland futures using a conditional probabilistic modelling framework
2016. Earth System Dynamics, 7 (4), 893–915. doi:10.5194/esd-7-893-2016
Hotspots of uncertainty in land-use and land-cover change projections: a global-scale model comparison
2016. Global change biology, 22 (12), 3967–3983. doi:10.1111/gcb.13337
Applying Occam’s razor to global agricultural land use change
2016. Environmental modelling & software, 75, 212–229. doi:10.1016/j.envsoft.2015.10.015
Pest control of aphids depends on landscape complexity and natural enemy interactions
2015. PeerJ, 3, e1095. doi:10.7717/peerj.1095
Evaluating potential policies for the UK perennial energy crop market to achieve carbon abatement and deliver a source of low carbon electricity
2015. Biomass and bioenergy. doi:10.1016/j.biombioe.2015.04.025
Using the SWAT model to improve process descriptions and define hydrologic partitioning in South Korea
2014. Hydrology and earth system sciences, 18 (2), 539–557. doi:10.5194/hess-18-539-2014
Deriving a per-field land use and land cover map in an agricultural mosaic catchment
2014. Earth system science data, 6 (2), 339–352. doi:10.5194/essd-6-339-2014
Identifying the Factors That Influence Farmer Participation in Environmental Management Practices in Switzerland
2014. Human ecology, 42 (6), 951–963. doi:10.1007/s10745-014-9701-5
Carbon dioxide exchange and biomass productivity of the herbaceous layer of a managed tropical humid savanna ecosystem in western Kenya
2013. Journal of plant ecology, 6 (4), 286–297. doi:10.1093/jpe/rts038
Natural enemy interactions constrain pest control in complex agricultural landscapes
2013. Proceedings of the National Academy of Sciences of the United States of America, 110 (14), 5534–5539. doi:10.1073/pnas.1215725110
Cost and environmental efficiency of rice farms in South Korea
2012. Agricultural economics, 43 (4), 369–378. doi:10.1111/j.1574-0862.2012.00589.x