| Records |
| Author |
Dietrich, J.P.; Popp, A.; Lotze-Campen, H. |
| Title |
Reducing the loss of information and gaining accuracy with clustering methods in a global land-use model |
Type |
Journal Article |
| Year |
2013 |
Publication |
Ecological Modelling |
Abbreviated Journal |
Ecol. Model. |
| Volume |
263 |
Issue |
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Pages |
233-243 |
| Keywords |
aggregation; downscaling; clustering; information conservation; land use model; scale; scales; agriculture; simulation; dynamics; pattern |
| Abstract |
Global land-use models have to deal with processes on several spatial scales, ranging from the global scale down to the farm level. The increasing complexity of modern land-use models combined with the problem of limited computational resources represents a challenge to modelers. One solution of this problem is to perform spatial aggregation based on a regular grid or administrative units such as countries. Unfortunately this type of aggregation flattens many regional differences and produces a homogenized map of the world. In this paper we present an alternative aggregation approach using clustering methods. Clustering reduces the loss of information due to aggregation by choosing an appropriate aggregation pattern. We investigate different clustering methods, examining their quality in terms of information conservation. Our results indicate that clustering is always a good choice and preferable compared to grid-based aggregation. Although all the clustering methods we tested delivered a higher degree of information conservation than grid-based aggregation, the choice of clustering method is not arbitrary. Comparing outputs of a model fed with original data and a model fed with aggregated data, bottom-up clustering delivered the best results for the whole range of numbers of clusters tested. (C) 2013 Elsevier B.V. All rights reserved. |
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English |
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0304-3800 |
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Article |
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TradeM |
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no |
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MA @ admin @ |
Serial |
4488 |
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| Author |
Bishop, J.; Lotze-Campen, H. |
| Title |
XC8 Extreme events – Final report |
Type |
Report |
| Year |
2017 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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| Volume |
10 |
Issue |
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Pages |
XC8-D |
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| Abstract |
Following a MACSUR Workshop a joint working paper preliminary titled “More than a change in crop production: metrics and approaches to understand the impacts of extreme events on food security” is now in an advanced stage. A conference paper based on an M.Sc. thesis by Christoph Buschmann, titled “A model-based economic assessment of future climate variability impacts on global agricultural markets” has been presented and the International Conference of Agricultural Economists, 2015. We are working on a journal publication at the moment. Based on a B.Sc. thesis by Patrick Jeetze, we have submitted an abstract and held a presentation at the GlobalFood Symposium 2017, 28-29 April 2017 at Georg-August-University of Goettingen, Germany. Title: “Implications of future climate variability on food security: A model-based assessment of climate-induced crop price volatility impacts” We are currently working on a journal publication on this. Finally, we contributed one section to MACSUR's Research Gap Report (H0.1-D). |
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XC |
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MA @ admin @ |
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4953 |
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Acharya, T.; Fanzo, J.; Gustafson, D.; Ingram, J.; Schneeman, B.; Allen, L.; Boote, K.; Drewnowski, A.; Ewert, F.; Hall, S.; Hendley, P.; Howden, M.; Janssen, S.; Jones, J.; Latulippe, M.; Lotze-Campen, H.; McDermott, J.; Meijl, H.V.; Nelson, G.; Newsome, R.; Roulin, A.; Scholes, B.; Tanumihardjo, S.; Tavill, G.; van der Mensbrugghe, D.; Wiebe, K. |
| Title |
Assessing Sustainable Nutrition Security: The Role of Food Systems: Working Paper |
Type |
Report |
| Year |
2014 |
Publication |
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Pages |
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ftnotmacsur |
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Washington, D.C., U.S.A. |
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ILSI Research Foundation: Center for Integrated Modeling of Sustainable Agriculture and Nutrition Security |
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TradeM |
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MA @ admin @ |
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4995 |
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Stürck, J.; Levers, C.; van der Zanden, E.H.; Schulp, C.J.E.; Verkerk, P.J.; Kuemmerle, T.; Helming, J.; Lotze-Campen, H.; Tabeau, A.; Popp, A.; Schrammeijer, E.; Verburg, P. |
| Title |
Simulating and delineating future land change trajectories across Europe |
Type |
Journal Article |
| Year |
2015 |
Publication |
Regional Environmental Change |
Abbreviated Journal |
Reg. Environ. Change |
| Volume |
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Issue |
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Pages |
in press |
| Keywords |
land use change; land system; modeling; scenario; Europe; ecosystem services |
| Abstract |
Explorations of future land use change are important to understand potential conflicts between competing land uses, trade-offs associated with particular land change trajectories, and the effectiveness of policies to steer land systems into desirable states. Most model-based explorations and scenario studies focused on conversions in broad land use classes, but disregarded changes in land management or focused on individual sectors only. Using the European Union (EU) as a case study, we developed an approach to identifying typical combinations of land cover and management changes by combining the results of multimodel simulations in the agriculture and forest sectors for four scenarios from 2000 to 2040. We visualized land change trajectories by mapping regional hotspots of change. Land change trajectories differed in extent and spatial pattern across the EU and among scenarios, indicating trajectory-specific option spaces for alternative land system outcomes. In spite of the large variation in the area of change, similar hotspots of land change were observed among the scenarios. All scenarios indicate a stronger polarization of land use in Europe, with a loss of multifunctional landscapes. We analyzed locations subject to change by comparing location characteristics associated with certain land change trajectories. Results indicate differences in the location conditions of different land change trajectories, with diverging impacts on ecosystem service provisioning. Policy and planning for future land use needs to account for the spatial variation of land change trajectories to achieve both overarching and location-specific targets. |
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1436-3798 |
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TradeM, ftnotmacsur |
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no |
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MA @ admin @ |
Serial |
4996 |
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| Author |
Bodirsky, B.L.; Rolinski, S.; Biewald, A.; Weindl, I.; Popp, A.; Lotze-Campen, H. |
| Title |
Global Food Demand Scenarios for the 21st Century |
Type |
Journal Article |
| Year |
2015 |
Publication |
PLoS One |
Abbreviated Journal |
PLoS One |
| Volume |
10 |
Issue |
11 |
Pages |
e0139201 |
| Keywords |
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| Abstract |
Long-term food demand scenarios are an important tool for studying global food security and for analysing the environmental impacts of agriculture. We provide a simple and transparent method to create scenarios for future plant-based and animal-based calorie demand, using time-dependent regression models between calorie demand and income. The scenarios can be customized to a specific storyline by using different input data for gross domestic product (GDP) and population projections and by assuming different functional forms of the regressions. Our results confirm that total calorie demand increases with income, but we also found a non-income related positive time-trend. The share of animal-based calories is estimated to rise strongly with income for low-income groups. For high income groups, two ambiguous relations between income and the share of animal-based products are consistent with historical data: First, a positive relation with a strong negative time-trend and second a negative relation with a slight negative time-trend. The fits of our regressions are highly significant and our results compare well to other food demand estimates. The method is exemplarily used to construct four food demand scenarios until the year 2100 based on the storylines of the IPCC Special Report on Emissions Scenarios (SRES). We find in all scenarios a strong increase of global food demand until 2050 with an increasing share of animal-based products, especially in developing countries. |
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1932-6203 |
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TradeM, ftnotmacsur |
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no |
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MA @ admin @ |
Serial |
4997 |
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