Analysis of farm performance in Europe under different climatic and management conditions to improve understanding of adaptive capacity

By Pytrik Reidsma, Frank Ewert, A. Oude Lansink. 2007

114 citations recorded by the source corpus.

The aim of this paper is to improve understanding of the adaptive capacity of European agriculture to climate change. Extensive data on farm characteristics of individual farms from the Farm Accountancy Data Network (FADN) have been combined with climatic and socio-economic data to analyze the influence of climate and management on crop yields and income and to identify factors that determine adaptive capacity. A multilevel analysis was performed to account for regional differences in the studied relationships. Our results suggest that socio-economic conditions and farm characteristics should be considered when analyzing effects of climate conditions on farm yields and income. Next to climate, input intensity, economic size and the type of land use were identified as important factors influencing spatial variability in crop yields and income. Generally, crop yields and income are increasing with farm size and farm intensity. However, effects differed among crops and high crop yields were not always related to high incomes, suggesting that impacts of climate and management differ by impact variable. As farm characteristics influence climate impacts on crop yields and income, they are good indicators of adaptive capacity at farm level and should be considered in impact assessment models. Different farm types with different management strategies will adapt differently.

Subfields: Ecology, Evolution, Behavior and Systematics, Environmental Chemistry, Soil Science

View Paper: https://www.semanticscholar.org/paper/3701dadc4588b792a36b96e89808da50db6583ec

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In Ecology, Evolution, Behavior and Systematics

  1. Frank Ewert
  2. Peter H. Verburg
  3. Tobias Kuemmerle
  4. Christian Levers
  5. Daniel Müller
  6. Van Butsic
  7. E. Simelton
  8. Evan D. G. Fraser

In Environmental Chemistry

  1. Frank Ewert
  2. Christoph Müller

In Soil Science

  1. Frank Ewert
  2. Peter H. Verburg
  3. Tobias Kuemmerle
  4. Daniel Müller
  5. Christian Levers
  6. Van Butsic
  7. Christoph Müller
  8. Evan D. G. Fraser

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