TY - JOUR
T1 - Adaptation of global land use and management intensity to changes in climate and atmospheric carbon dioxide
AU - Alexander, Peter
AU - Rabin, Sam
AU - Anthoni, Peter
AU - Henry, Roslyn
AU - Pugh, Thomas A.M.
AU - Rounsevell, Mark D.A.
AU - Arneth, Almut
N1 - Funding Information:
The research was supported by the UK’s Global Food Security Programme project Resilience of the UK food system to Global Shocks (RUGS, BB/N020707/1) and the European Union’s Seventh Frame-work Programme LUC4C (grant no. 603542). This is paper number 37 of the Birmingham Institute of Forest Research.
Publisher Copyright:
© 2018 The Authors. Global Change Biology Published by John Wiley & Sons Ltd.
PY - 2018/7
Y1 - 2018/7
N2 - Land use contributes to environmental change, but is also influenced by such changes. Climate and atmospheric carbon dioxide (CO2) levels’ changes alter agricultural crop productivity, plant water requirements and irrigation water availability. The global food system needs to respond and adapt to these changes, for example, by altering agricultural practices, including the crop types or intensity of management, or shifting cultivated areas within and between countries. As impacts and associated adaptation responses are spatially specific, understanding the land use adaptation to environmental changes requires crop productivity representations that capture spatial variations. The impact of variation in management practices, including fertiliser and irrigation rates, also needs to be considered. To date, models of global land use have selected agricultural expansion or intensification levels using relatively aggregate spatial representations, typically at a regional level, that are not able to characterise the details of these spatially differentiated responses. Here, we show results from a novel global modelling approach using more detailed biophysically derived yield responses to inputs with greater spatial specificity than previously possible. The approach couples a dynamic global vegetative model (LPJ-GUESS) with a new land use and food system model (PLUMv2), with results benchmarked against historical land use change from 1970. Land use outcomes to 2100 were explored, suggesting that increased intensity of climate forcing reduces the inputs required for food production, due to the fertilisation and enhanced water use efficiency effects of elevated atmospheric CO2 concentrations, but requiring substantial shifts in the global and local patterns of production. The results suggest that adaptation in the global agriculture and food system has substantial capacity to diminish the negative impacts and gain greater benefits from positive outcomes of climate change. Consequently, agricultural expansion and intensification may be lower than found in previous studies where spatial details and processes consideration were more constrained.
AB - Land use contributes to environmental change, but is also influenced by such changes. Climate and atmospheric carbon dioxide (CO2) levels’ changes alter agricultural crop productivity, plant water requirements and irrigation water availability. The global food system needs to respond and adapt to these changes, for example, by altering agricultural practices, including the crop types or intensity of management, or shifting cultivated areas within and between countries. As impacts and associated adaptation responses are spatially specific, understanding the land use adaptation to environmental changes requires crop productivity representations that capture spatial variations. The impact of variation in management practices, including fertiliser and irrigation rates, also needs to be considered. To date, models of global land use have selected agricultural expansion or intensification levels using relatively aggregate spatial representations, typically at a regional level, that are not able to characterise the details of these spatially differentiated responses. Here, we show results from a novel global modelling approach using more detailed biophysically derived yield responses to inputs with greater spatial specificity than previously possible. The approach couples a dynamic global vegetative model (LPJ-GUESS) with a new land use and food system model (PLUMv2), with results benchmarked against historical land use change from 1970. Land use outcomes to 2100 were explored, suggesting that increased intensity of climate forcing reduces the inputs required for food production, due to the fertilisation and enhanced water use efficiency effects of elevated atmospheric CO2 concentrations, but requiring substantial shifts in the global and local patterns of production. The results suggest that adaptation in the global agriculture and food system has substantial capacity to diminish the negative impacts and gain greater benefits from positive outcomes of climate change. Consequently, agricultural expansion and intensification may be lower than found in previous studies where spatial details and processes consideration were more constrained.
KW - climate change adaptation
KW - CO fertilisation
KW - food system
KW - land use change
KW - land use intensity
KW - telecoupling
UR - http://www.scopus.com/inward/record.url?scp=85044179365&partnerID=8YFLogxK
U2 - 10.1111/gcb.14110
DO - 10.1111/gcb.14110
M3 - Article
C2 - 29485759
AN - SCOPUS:85044179365
VL - 24
SP - 2791
EP - 2809
JO - Global Change Biology
JF - Global Change Biology
SN - 1354-1013
IS - 7
ER -