Literature DB >> 29306145

The Stimuli-Actions-Effects-Responses (SAER)-framework for exploring perceived relationships between private and public climate change adaptation in agriculture.

Hermine Mitter1, Martin Schönhart2, Manuela Larcher2, Erwin Schmid2.   

Abstract

Empirical findings on actors' roles and responsibilities in the climate change adaptation process are rare even though cooperation between private and public actors is perceived important to foster adaptation in agriculture. We therefore developed the framework SAER (Stimuli-Actions-Effects-Responses) to investigate perceived relationships between private and public climate change adaptation in agriculture at regional scale. In particular, we explore agricultural experts' perceptions on (i) climatic and non-climatic factors stimulating private adaptation, (ii) farm adaption actions, (iii) potential on-farm and off-farm effects from adaptation, and (iv) the relationships between private and public adaptation. The SAER-framework is built on a comprehensive literature review and empirical findings from semi-structured interviews with agricultural experts from two case study regions in Austria. We find that private adaptation is perceived as incremental, systemic or transformational. It is typically stimulated by a mix of bio-physical and socio-economic on-farm and off-farm factors. Stimulating factors related to climate change are perceived of highest relevance for systemic and transformational adaptation whereas already implemented adaptation is mostly perceived to be incremental. Perceived effects of private adaptation are related to the environment, weather and climate, quality and quantity of agricultural products as well as human, social and economic resources. Our results also show that public adaptation can influence factors stimulating private adaptation as well as adaptation effects through the design and development of the legal, policy and organizational environment as well as the provision of educational, informational, financial, and technical infrastructure. Hence, facilitating existing and new collaborations between private and public actors may enable farmers to adapt effectively to climate change.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adaptation effect; Adaptation stimulus; Climate change perception; Private adaptation; Public adaptation; Qualitative analysis

Mesh:

Year:  2018        PMID: 29306145     DOI: 10.1016/j.jenvman.2017.12.063

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  4 in total

1.  Impacts of climate change adaptation options on soil functions: A review of European case-studies.

Authors:  Ahmad Hamidov; Katharina Helming; Gianni Bellocchi; Waldemar Bojar; Tommy Dalgaard; Bhim Bahadur Ghaley; Christian Hoffmann; Ian Holman; Annelie Holzkämper; Dominika Krzeminska; Sigrun H Kværnø; Heikki Lehtonen; Georg Niedrist; Lillian Øygarden; Pytrik Reidsma; Pier Paolo Roggero; Teodor Rusu; Cristina Santos; Giovanna Seddaiu; Eva Skarbøvik; Domenico Ventrella; Jacek Żarski; Martin Schönhart
Journal:  Land Degrad Dev       Date:  2018-05-30       Impact factor: 4.977

2.  Exploring Farmers' Climate Change Perceptions and Adaptation Intentions: Empirical Evidence from Austria.

Authors:  Hermine Mitter; Manuela Larcher; Martin Schönhart; Magdalena Stöttinger; Erwin Schmid
Journal:  Environ Manage       Date:  2019-04-16       Impact factor: 3.266

3.  Farmers' Intended Weed Management after a Potential Glyphosate Ban in Austria.

Authors:  Teresa Matousek; Hermine Mitter; Bernadette Kropf; Erwin Schmid; Stefan Vogel
Journal:  Environ Manage       Date:  2022-02-25       Impact factor: 3.644

4.  To what extent is climate change adaptation a novel challenge for agricultural modellers?

Authors:  R P Kipling; C F E Topp; A Bannink; D J Bartley; I Blanco-Penedo; R Cortignani; A Del Prado; G Dono; P Faverdin; A-I Graux; N J Hutchings; L Lauwers; Ş Özkan Gülzari; P Reidsma; S Rolinski; M Ruiz-Ramos; D L Sandars; R Sándor; M Schönhart; G Seddaiu; J van Middelkoop; S Shrestha; I Weindl; V Eory
Journal:  Environ Model Softw       Date:  2019-10       Impact factor: 5.288

  4 in total

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