| Records |
| Author |
Nguyen, T.; Mula, L.; Cortignani, R.; Seddaiu, G.; Dono, G.; Virdis, S.; Pasqui, M.; Roggero, P.-P. |
Title  |
Perceptions of present and future climate change impacts on water availability for agricultural systems in the western Mediterranean region |
Type |
Journal Article |
| Year |
2016 |
Publication |
Water |
Abbreviated Journal |
Water |
| Volume |
8 |
Issue |
11 |
Pages |
523 (18 pp) |
| Keywords |
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| Abstract |
Many Mediterranean countries have experienced water shortages during the last 20 years and future climate change projections foresee further pressure on water resources. This will have significant implications for irrigation water management in agricultural systems in the future. Through qualitative and quantitative empirical research methods carried out on a case study on four Mediterranean farming systems located in Oristano, Italy, we sought to understand the relationship between farmers’ perceptions of climate change (i.e., increased temperature and decreased precipitation) and of present and future water availability for agriculture as forecasted by climatic and crop models. We also explored asymmetries between farmers’ perceptions and present and future climate change and water scenarios as well as factors influencing perceptions. Our hypotheses were that farmers’ perceptions are the main drivers of actual water management practices and that sustainable practices can emerge from learning spaces designed from the understanding of the gaps between perceptions and scientific evidences. Results showed that most farmers perceived that climate change is occurring or will occur in their area. They also perceived that there has been an increased temperature trend, but also increased precipitation. Therefore, they are convinced that they have and will have enough irrigation water for agriculture in the near future, while climate change projections foresee an increasing pressure on water resources in the Mediterranean region. Such results suggest the need for (i) irrigation management policies that take into account farmers’ perceptions in order to promote virtuous behaviors and improve irrigation water use efficiency; (ii) new, well-designed learning spaces to improve the understanding on climate change expectations in the near future in order to support effective adaptive responses at the farm and catchment scales. |
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| ISSN |
2073-4441 |
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| Notes |
CropM, TradeM, ft_macsur |
Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
4879 |
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| Author |
Dono, G.; Cortignani, R.; Dell’Unto, D.; Doro, L.; Lacetera, N.; Mula, L.; Pasqui, M.; Quaresima, S.; Vitali, A.; Roggero, P.P. |
| Title |
Productive and economic adaptation of Mediterranean agriculture to climate change (Produktive und wirtschaftliche Anpassung der mediterranen Landwirtschaft an den Klimawandel) |
Type |
Conference Article |
| Year |
2014 |
Publication |
Jahrbuch der ÖGA |
Abbreviated Journal |
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| Volume |
24 |
Issue |
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Pages |
213-222 |
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24. Jahrestagung der Österreichischen Gesellschaft für Agrarökonomie, 2014-09-25 to 2014-09-26, Vienna |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
5027 |
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| Author |
Cortignani, R.; Dono, G. |
| Title |
Simulation of the impact of greening measures in an agricultural area of the southern Italy |
Type |
Journal Article |
| Year |
2015 |
Publication |
Land Use Policy |
Abbreviated Journal |
Land Use Policy |
| Volume |
48 |
Issue |
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Pages |
525-533 |
| Keywords |
agricultural policy; supply analysis; mathematical programming; maximum-entropy; level; models |
| Abstract |
Together, sustainable management of natural resources and climate action form one of the three objectives of the 2014-2020 Common Agricultural Policy. This objective is being addressed by replacing the existing direct payments under Pillar 1 with a basic payment, combined with an additional payment conditional on farmers undertaking agricultural practices beneficial for the climate and the environment, a policy referred to as greening. In this study, the impact of greening was assessed using a hybrid model calibrated using positive mathematical programming. The model describes the macro-types of farm production in a Mediterranean agricultural area. The results show that greening was not beneficial throughout the study area and only some farm types have been particularly affected. However, greening appears to have a positive impact on curtailing the use of chemicals, particularly nitrogen, and on crop diversity. (C) 2015 Elsevier Ltd. All rights reserved. |
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English |
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0264-8377 |
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Article |
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TradeM, ft_macsur |
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no |
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MA @ admin @ |
Serial |
4746 |
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| Author |
Dono, G. |
| Title |
Storylines regarding climate change and scenarios |
Type |
Report |
| Year |
2013 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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| Volume |
1 |
Issue |
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Pages |
D-T3.2 |
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| Abstract |
WP3 develops the tools for assessing the productive and economic impact of climate change and the potential of mitigation and adaptation strategies. This is achieved by focussing, along with CropM and LiveM, on significant crossing issues in specific geographical areas, natural and human resources, and farming systems. Following, the storylines regarding climate change and scenarios in the hot-spots. No Label |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2264 |
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| Author |
Dono, G.; Cortignani, R.; Doro, L.; Roggero, P.P. |
| Title |
The adaptation of farm and awareness of ongoing climate change (CC) |
Type |
Conference Article |
| Year |
2014 |
Publication |
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Abbreviated Journal |
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Issue |
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Pages |
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Farm planning is based on awareness of climate variability, here assumed to depend on experience gained over the years, and to generate expectations on climatic variables. Expectations are based on probability distributions (pdfs) estimated on climate data and used to generate managing choices by means of Discrete Stochastic Programming. The model simulates the income losses in case farmers do not recognize the ongoing CC, and continue to plan assuming climate stability. In particular, the use of resources in 2010 is simulated based on the pdfs of the early 2000s, despite CC has changed the probabilities of the various states of nature. The model, calibrated with Positive Mathematical Programming, generates a 0.9% income increase when is allowed to adapt to 2010 climate pdfs. The model is also calibrated according to pdfs of 2010, i.e. recognizing CC: in this case income falls of 0.7% when farmers are simulated to use their soil mistakenly based of the 2000 pdfs. Given the short period of CC, the differences represent an appreciable error that farmers may be already committing. Properly specifying with the CC at local level can help building farmers’ awareness on it, and to properly manage their resources, recovering profitability. |
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FACCE MACSUR Mid-term Scientific Conference |
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3(S) Sassari, Italy |
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FACCE MACSUR Mid-term Scientific Conference, 2014-04-01 to 2014-04-04, Sassari, Italy |
| Notes |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
5131 |
| Permanent link to this record |
