climate

Koppen-Geiger Climate Classification 1976-2000

Observed climate shifts between 1976-2000 depicted by world maps of the Köppen-Geiger climate classification

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Koppen-Geiger Climate Classification 2026-2050 B2

Projected climate shift between 2026-2050 for an B2 emission scenario depicted by world maps of the Köppen-Geiger climate classification.

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Koppen-Geiger Climate Classification 2076-2100 A1FI

Projected climate shift between 2076-2100 for an A1FI emission scenario depicted by world maps of the Köppen-Geiger climate classification.

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Koppen-Geiger Climate Classification 2001-2025 A1FI

Projected climate shift between 2001-2025 for an A1FI emission scenario depicted by world maps of the Köppen-Geiger climate classification.

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Koppen-Geiger Climate Classification 1951-2000 Updated

Observed and projected climate shifts 1901-2100 depicted by world maps of the Köppen-Geiger climate classification

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Koppen-Geiger Climate Classification 1901-1925

Observed climate shifts between 1901-1925 depicted by world maps of the Köppen-Geiger climate classification

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Koppen-Geiger Climate Classification 2026-2050 B1

Projected climate shift between 2026-2050 for an B1 emission scenario depicted by world maps of the Köppen-Geiger climate classification.

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Global Agricultural Land Use Data for Climate Change Analysis

The Center for Sustainability and the Global Environment (SAGE) at the University of Wisconsin has been developing global databases of contemporary and historical agricultural land use and land cover. SAGE has chosen to focus on agriculture because it is clearly the predominant land use activity on the planet today, and provides a vital service?i.e., food?for human societies. SAGE has developed a ?data fusion?

Author: 
Monfreda, Chad
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A coherent set of future land use change scenarios for Europe

This paper presents a range of future, spatially explicit, land use change scenarios for the EU15, Norway and Switzerland based on an interpretation of the global storylines of the Intergovernmental Panel on Climate Change (IPCC) that are presented in the special report on emissions scenarios (SRES). The methodology is based on a qualitative interpretation of the SRES storylines for the European region, an estimation of the aggregate totals of land use change using various land use change models and the allocation of these aggregate quantities in space using spatially explicit rules.

Author: 
Rounsevell M.D.A.
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A Spatial-Dynamic Model of Bioenergy Crop Introduction in Illinois

Growing concern about climate change and energy security has led to increasing interest in developing renewable, domestic energy sources for meeting electricity, heating and fuel needs in the United States. Illinois has significant potential to produce bioenergy crops, including corn, soybeans, miscanthus (Miscanthus giganteus), and switchgrass (Panicum virgatum). However, land requirements for bioenergy crops place them in competition with more traditional agricultural uses, in particular food production.

Author: 
Scheffran, Jurgen
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