日本語
 
Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

学術論文

Comparative impact of climatic and nonclimatic factors on global terrestrial carbon and water cycles

Authors
/persons/resource/Christoph.Mueller

Müller,  Christoph
Potsdam Institute for Climate Impact Research;

/persons/resource/alberte.bondeau

Bondeau,  Alberte
Potsdam Institute for Climate Impact Research;

/persons/resource/Lotze-Campen

Lotze-Campen,  Hermann
Potsdam Institute for Climate Impact Research;

/persons/resource/wolfgang.cramer

Cramer,  Wolfgang
Potsdam Institute for Climate Impact Research;

/persons/resource/Wolfgang.Lucht

Lucht,  Wolfgang
Potsdam Institute for Climate Impact Research;

URL
There are no locators available
フルテキスト (公開)

3093.pdf
(ポストプリント), 2MB

付随資料 (公開)
There is no public supplementary material available
引用

Müller, C., Bondeau, A., Lotze-Campen, H., Cramer, W., & Lucht, W. (2006). Comparative impact of climatic and nonclimatic factors on global terrestrial carbon and water cycles. Global Biogeochemical Cycles, 20(4):. doi:10.1029/2006GB002742.


引用: https://publications.pik-potsdam.de/pubman/item/item_13881
要旨
The coupled global carbon and water cycles are influenced by multiple factors of human activity such as fossil‐fuel emissions and land use change. We used the LPJmL Dynamic Global Vegetation Model (DGVM) to quantify the potential influences of human demography, diet, and land allocation, and compare these to the effects of fossil‐fuel emissions and corresponding climate change. For this purpose, we generate 12 land use patterns in which these factors are analyzed in a comparative static setting, providing information on their relative importance and the range of potential impacts on the terrestrial carbon and water balance. We show that these aspects of human interference are equally important to climate change and historic fossil‐fuel emissions for global carbon stocks but less important for net primary production (NPP). Demand for agricultural area and thus the magnitude of impacts on the carbon and water cycles are mainly determined by constraints on localizing agricultural production and modulated by total demand for agricultural products.