Limits...
Spatial sensitivity of grassland yields to weather variations in Austria and its implications for the future.

Neuwirth C, Hofer B - Appl Geogr (2013)

Bottom Line: In central Europe, climate change is predicted to bring more rainfall in winter, less rainfall in summer, and increased drought risk among other effects.Generally, the regression coefficients are not very high, which indicates that temperature and water supply do not fully describe grassland productivity.That in turn, requires consideration in agricultural development plans and a quantification of these impacts from a social-economic perspective.

View Article: PubMed Central - PubMed

Affiliation: DK GIScience, Schillerstraße 30, 5020 Salzburg, Austria.

ABSTRACT

Agricultural production fulfills economic, ecological and structural functions. Despite technological advances, agricultural production remains sensitive to climate variations. In central Europe, climate change is predicted to bring more rainfall in winter, less rainfall in summer, and increased drought risk among other effects. Grassland agriculture, which is the dominant land use in Alpine regions, may be significantly affected by these climatic changes in the future. Motivated by this issue, the susceptibility of grassland yields to weather variations in Austria is empirical evaluated as a case study. The major objective of this study is to derive spatially distributed indications for climate change exposure by assessing the impacts of weather variations on past yield. It is assumed that reduced water supply during summer constitutes a threat to grassland productivity in regions that are warmer and drier already today. On the contrary, increased spring temperatures may improve grassland productivity in cooler regions like Alpine valleys, since the earlier snow melt leads to an extension of the growth period. Regression analyses are used for evaluating the relation between yearly yields and spring temperatures or water supply in summer, respectively. Water supply is thereby expressed by aggregated precipitation sums and the Climatic Water Balance (CWB). Input data are a meteorological time series as well as yearly yields available for 25 years between 1970 and 2010 and 99 districts in Austria. Yearly yields show a significant (P < 0.05) and positive dependency on water supply in summer for the eastern Austrian lowlands. The combination of temperature in spring and CWB in summer is only significant for six districts in the east of Austria. The positive impact of higher spring temperatures could not be verified. Generally, the regression coefficients are not very high, which indicates that temperature and water supply do not fully describe grassland productivity. Projected climate change may increasingly constitute a risk to yield reliability in the east of the country. That in turn, requires consideration in agricultural development plans and a quantification of these impacts from a social-economic perspective.

No MeSH data available.


Related in: MedlinePlus

Coefficient of determination (R2) and slope of the linear regression of yearly yields on the yearly precipitation sums in JJA per district (labeled with official district abbreviations).
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4375831&req=5

fig3: Coefficient of determination (R2) and slope of the linear regression of yearly yields on the yearly precipitation sums in JJA per district (labeled with official district abbreviations).

Mentions: The distribution of yearly yield and precipitation values considered in this regression is exemplarily represented for the district HB (see Fig. 1), which has the highest correlation on precipitation in summer of all districts considered. The same dependency was analyzed separately for each district. The graph in Fig. 3 summarizes the regression analysis results for all districts with significant correlation coefficients. The graph shows the values of the correlation coefficients as well as the positive or negative relation between yields in the districts and precipitation totals in JJA. Districts with significant dependencies exhibited R2 values ranging from 0.16 to 0.46. Slopes of the linear regression functions vary between −0.07 and 0.1, whereby only district HL shows a negative correlation.


Spatial sensitivity of grassland yields to weather variations in Austria and its implications for the future.

Neuwirth C, Hofer B - Appl Geogr (2013)

Coefficient of determination (R2) and slope of the linear regression of yearly yields on the yearly precipitation sums in JJA per district (labeled with official district abbreviations).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4375831&req=5

fig3: Coefficient of determination (R2) and slope of the linear regression of yearly yields on the yearly precipitation sums in JJA per district (labeled with official district abbreviations).
Mentions: The distribution of yearly yield and precipitation values considered in this regression is exemplarily represented for the district HB (see Fig. 1), which has the highest correlation on precipitation in summer of all districts considered. The same dependency was analyzed separately for each district. The graph in Fig. 3 summarizes the regression analysis results for all districts with significant correlation coefficients. The graph shows the values of the correlation coefficients as well as the positive or negative relation between yields in the districts and precipitation totals in JJA. Districts with significant dependencies exhibited R2 values ranging from 0.16 to 0.46. Slopes of the linear regression functions vary between −0.07 and 0.1, whereby only district HL shows a negative correlation.

Bottom Line: In central Europe, climate change is predicted to bring more rainfall in winter, less rainfall in summer, and increased drought risk among other effects.Generally, the regression coefficients are not very high, which indicates that temperature and water supply do not fully describe grassland productivity.That in turn, requires consideration in agricultural development plans and a quantification of these impacts from a social-economic perspective.

View Article: PubMed Central - PubMed

Affiliation: DK GIScience, Schillerstraße 30, 5020 Salzburg, Austria.

ABSTRACT

Agricultural production fulfills economic, ecological and structural functions. Despite technological advances, agricultural production remains sensitive to climate variations. In central Europe, climate change is predicted to bring more rainfall in winter, less rainfall in summer, and increased drought risk among other effects. Grassland agriculture, which is the dominant land use in Alpine regions, may be significantly affected by these climatic changes in the future. Motivated by this issue, the susceptibility of grassland yields to weather variations in Austria is empirical evaluated as a case study. The major objective of this study is to derive spatially distributed indications for climate change exposure by assessing the impacts of weather variations on past yield. It is assumed that reduced water supply during summer constitutes a threat to grassland productivity in regions that are warmer and drier already today. On the contrary, increased spring temperatures may improve grassland productivity in cooler regions like Alpine valleys, since the earlier snow melt leads to an extension of the growth period. Regression analyses are used for evaluating the relation between yearly yields and spring temperatures or water supply in summer, respectively. Water supply is thereby expressed by aggregated precipitation sums and the Climatic Water Balance (CWB). Input data are a meteorological time series as well as yearly yields available for 25 years between 1970 and 2010 and 99 districts in Austria. Yearly yields show a significant (P < 0.05) and positive dependency on water supply in summer for the eastern Austrian lowlands. The combination of temperature in spring and CWB in summer is only significant for six districts in the east of Austria. The positive impact of higher spring temperatures could not be verified. Generally, the regression coefficients are not very high, which indicates that temperature and water supply do not fully describe grassland productivity. Projected climate change may increasingly constitute a risk to yield reliability in the east of the country. That in turn, requires consideration in agricultural development plans and a quantification of these impacts from a social-economic perspective.

No MeSH data available.


Related in: MedlinePlus