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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
Mueller, C. |
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A crop modeling response to economists’ wishlists |
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2014 |
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Assessments of climate change impacts on agricultural markets and land-use patterns rely on quantification of climate change impacts on the spatial patterns of land productivity. We supply a set of climate impact scenarios on agricultural land productivity derived from two climate models and two biophysical crop growth models to account for some of the uncertainty inherent in climate and impact models. Aggregation in space and time leads to information losses that can determine climate change impacts on agricultural markets and land-use patterns because often aggregation is across steep gradients from low to high impacts or from increases to decreases. The four climate change impact scenarios supplied here were designed to represent the most significant impacts (high emission scenario only, assumed ineffectiveness of carbon dioxide fertilization on agricultural yields, no adjustments in management) but are consistent with the assumption that changes in agricultural practices are covered in the economic models. Globally, production of individual crops decrease by 10 to 38% under these climate change scenarios, with large uncertainties in spatial patterns that are determined by both the uncertainty in climate projections and the choice of impact model. This uncertainty in climate impact on crop productivity needs to be considered by economic assessments of climate change. |
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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
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no |
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MA @ admin @ |
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5048 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
Mueller, L.; Schindler, U.; Shepherd, T.G.; Ball, B.C.; Smolentseva, E.; Hu, C.; Hennings, V.; Schad, P.; Rogasik, J.; Zeitz, J.; Schlindwein, S.L.; Behrendt, A.; Helming, K.; Eulenstein, F. |
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Title |
A framework for assessing agricultural soil quality on a global scale |
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Journal Article |
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2012 |
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Archives of Agronomy and Soil Science |
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Archives of Agronomy and Soil Science |
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58 |
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sup1 |
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S76-S82 |
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soil quality; indicators; muencheberg soil quality rating |
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This paper provides information about a novel approach of rating agricultural soil quality (SQ) and crop yield potentials consistently over a range of spatial scales. The Muencheberg Soil Quality Rating is an indicator-based straightforward overall assessment method of agricultural SQ. It is a framework covering aspects of soil texture, structure, topography and climate which is based on 8 basic indicators and more than 12 hazard indicators. Ratings are performed by visual methods of soil evaluation. A field manual is then used to provide ratings from tables based on indicator thresholds. Finally, overall rating scores are given, ranging from 0 (worst) to 100 (best) to characterise crop yield potentials. The current approach is valid for grassland and cropland. Field tests in several countries confirmed the practicability and reliability of the method. At field scale, soil structure is a crucial, management induced criterion of agricultural SQ. At the global scale, climate controlled hazard indicators of drought risk and soil thermal regime are crucial for SQ and crop yield potentials. Final rating scores are well correlated with crop yields. We conclude that this system could be evolved for ranking and controlling agricultural SQ on a global scale. |
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English |
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0365-0340 |
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CropM, TradeM, ftnotmacsur |
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MA @ admin @ |
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4589 |
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Müller, C. |
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Title |
Impacts of Climate Change and Agricultural Modeling |
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2014 |
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CropM |
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Capacity Building Workshop for Regional Scientists Turn Down the Heat III: Regional Analysis (MNA/LAC/ECA), The Case for Resilience, Potsdam, Germany, 2014-03-11 to 2014-03-13 |
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MA @ admin @ |
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2669 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
Müller, C. |
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Title |
Climate change impacts, uncertainties and implications |
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2013 |
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CropM |
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First Workshop Expert Network Management of Climate change induced Risks, Hamburg, Germany, 2013-03-20 to 2013-03-21 |
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no |
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MA @ admin @ |
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2665 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
Müller, C. |
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Title |
Multi-sector interaction in climate change impact analysis |
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2013 |
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CropM |
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Impacts World 2013, International Conference on Climate Change Effects, Potsdam, Germany, 2013-05-27 to 2013-05-30 |
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no |
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MA @ admin @ |
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2666 |
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