Adapting Climate Change and Variability for Current and Future Production Systems of Maize

2021 ◽  
pp. 203-215
Author(s):  
Ishfaq Ahmad ◽  
Muhammad Mohsin Waqas ◽  
Farhana Gul ◽  
Muhammad Mumtaz
Keyword(s):  
Climate Change ◽  
Production Systems ◽  
Climate Change And Variability ◽  
Future Production

Use of productivity-defined indicators to assess exposure of grassland-based livestock systems to climate change and variability

2013 ◽  
Vol 64 (7) ◽  
pp. 641 ◽  
Author(s):  
Marion Sautier ◽  
Michel Duru ◽  
Roger Martin-Clouaire
Keyword(s):  
Climate Change ◽  
Production Systems ◽  
Weather Conditions ◽  
Climate Change Research ◽  
Climate Change And Variability ◽  
The Past ◽  
The Future ◽  
The Difference ◽  
Livestock Systems ◽  
Agricultural Production Systems

Climate change research that aims to accelerate the adaptation process of agricultural production systems first requires understanding their climatic vulnerability, which is in part characterised by their exposure. This paper’s approach moves beyond traditional metrics of climate variables and proposes specific indicators for grassland-based livestock systems. The indicators focus on the variation in seasonal boundaries and seasonal and yearly herbage productivity in response to weather conditions. The paper shows how statistical interpretations of these indicators over several sites and climatic years (past and future) enable the characterisation of classes of climatic years and seasons as well as their frequencies of occurrence and their variation from the past to the expected future. The frequency of occurrence and succession of seasonal extremes is also examined by analysing the difference between observed or predicted seasonal productivity and past mean productivity. The data analysis and corresponding statistical graphics used in our approach can help farmers, advisers, and scientists envision site-specific impacts of climate change on herbage production patterns. An illustrative analysis is performed on three sites in south-western France using a series of climatic years covering two 30-year periods in the past and the future. We found that the herbage production of several clusters of climatic years can be identified as ‘normal’ (i.e. frequent) and that the most frequent clusters in the past become less common in the future, although some clusters remain common. In addition, the year-to-year variability and the contrast between spring and summer–fall (autumn) herbage production are expected to increase.

scholarly journals Assessing the Vulnerabilities of Current and Future Production Systems in Punjab, Pakistan

2019 ◽  
Vol 11 (19) ◽  
pp. 5365 ◽  
Author(s):  
Naqvi ◽  
Nadeem ◽  
Iqbal ◽  
Ali ◽  
Naseem
Keyword(s):  
Climate Change ◽  
Capita Income ◽  
Production Systems ◽  
Negative Impact ◽  
Per Capita Income ◽  
Analysis Model ◽  
Farming Communities ◽  
Future Production ◽  
Pathways Analysis ◽  
Per Capita

Mankind is in peril and there are many reasons for this; however, climate change precedes all other reasons. Problems of poor farming communities are augmented due to the menace of climate change. This study endeavors to determine the effect on farming communities of both climate change and a situation without climate change. To carry out the study, three different districts were selected (Rawalpindi, Chakwal, and Layyah). Impact of the climate vagaries on per capita income, farm returns, and poverty of the respondents was taken into consideration. To achieve pathways analysis, regional representative agricultural pathways were used. The decision support system for agrotechnology transfer (DSSAT) crop growth model was employed for wheat-related simulations. The tradeoff analysis model for multidimensional impact assessment (TOA-MD) model was used for economic analysis. The results lend credence to the aforementioned nuisance of climate change, as the findings which came through were negatively affecting farm returns, per capita income, and poverty of the farmers. The negative impact applies to both current and future production systems. Farmers are up against the wall because of climate change and they will have to adopt new innovations to raise their productivity.

scholarly journals Global rangeland production systems and livelihoods at threat under climate change and variability

2020 ◽  
Vol 15 (4) ◽  
pp. 044021 ◽  
Author(s):  
C M Godde ◽  
R B Boone ◽  
A J Ash ◽  
K Waha ◽  
L L Sloat ◽  
...  
Keyword(s):  
Climate Change ◽  
Production Systems ◽  
Climate Change And Variability

DISSEMINATION AND USE OF INFORMATION ON CLIMATE CHANGE AND VARIABILITY: A CASE STUDY OF FARMERS IN MALUGA AND CHIBELA VILLAGES IN SEMI-ARID CENTRAL TANZANIA

Mousaion ◽  
2016 ◽  
Vol 33 (3) ◽  
pp. 1-24
Author(s):  
Emmanuel Elia ◽  
Stephen Mutula ◽  
Christine Stilwell
Keyword(s):  
Climate Change ◽  
Data Collection ◽  
Diffusion Of Innovations ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Policy Framework ◽  
Accurate Information ◽  
Adaptation To Climate Change ◽  
Climate Change And Variability ◽  
Semi Arid

This study was part of broader PhD research which investigated how access to, and use of, information enhances adaptation to climate change and variability in the agricultural sector in semi-arid Central Tanzania. The research was carried out in two villages using Rogers’ Diffusion of Innovations theory and model to assess the dissemination of this information and its use by farmers in their adaptation of their farming practices to climate change and variability. This predominantly qualitative study employed a post-positivist paradigm. Some elements of a quantitative approach were also deployed in the data collection and analysis. The principal data collection methods were interviews and focus group discussions. The study population comprised farmers, agricultural extension officers and the Climate Change Adaptation in Africa project manager. Qualitative data were subjected to content analysis whereas quantitative data were analysed to generate mostly descriptive statistics using SPSS.  Key findings of the study show that farmers perceive a problem in the dissemination and use of climate information for agricultural development. They found access to agricultural inputs to be expensive, unreliable and untimely. To mitigate the adverse effects of climate change and variability on farming effectively, the study recommends the repackaging of current and accurate information on climate change and variability, farmer education and training, and collaboration between researchers, meteorology experts, and extension officers and farmers. Moreover, a clear policy framework for disseminating information related to climate change and variability is required.

scholarly journals Projections of Local Knowledge-Based Adaptation Strategies of Mexican Coffee Farmers

Climate ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 60
Author(s):  
Patricia Ruiz-García ◽  
Cecilia Conde-Álvarez ◽  
Jesús David Gómez-Díaz ◽  
Alejandro Ismael Monterroso-Rivas
Keyword(s):  
Climate Change ◽  
Extreme Events ◽  
Local Knowledge ◽  
Production Systems ◽  
Agroforestry Systems ◽  
Southern Mexico ◽  
Knowledge Based ◽  
Coffee Farmers ◽  
Extreme Hydrological Events ◽  
Adaptation Policies

Local knowledge can be a strategy for coping with extreme events and adapting to climate change. In Mexico, extreme events and climate change projections suggest the urgency of promoting local adaptation policies and strategies. This paper provides an assessment of adaptation actions based on the local knowledge of coffee farmers in southern Mexico. The strategies include collective and individual adaptation actions that farmers have established. To determine their viability and impacts, carbon stocks and fluxes in the system’s aboveground biomass were projected, along with water balance variables. Stored carbon contents are projected to increase by more than 90%, while maintaining agroforestry systems will also help serve to protect against extreme hydrological events. Finally, the integration of local knowledge into national climate change adaptation plans is discussed and suggested with a local focus. We conclude that local knowledge can be successful in conserving agroecological coffee production systems.

scholarly journals Flood Risk and Adaptation Strategies for Soybean Production Systems on the Flood-Prone Pampas under Climate Change

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1187
Author(s):  
Wouter Julius Smolenaars ◽  
Spyridon Paparrizos ◽  
Saskia Werners ◽  
Fulco Ludwig
Keyword(s):  
Climate Change ◽  
Flood Risk ◽  
Risk Perceptions ◽  
Production Systems ◽  
Adaptation Strategies ◽  
Flood Events ◽  
Climate Data ◽  
Soybean Production ◽  
Drying Trend ◽  
Sowing Season

In recent decades, multiple flood events have had a devastating impact on soybean production in Argentina. Recent advances suggest that the frequency and intensity of destructive flood events on the Argentinian Pampas will increase under pressure from climate change. This paper provides bottom-up insight into the flood risk for soybean production systems under climate change and the suitability of adaptation strategies in two of the most flood-prone areas of the Pampas region. The flood risk perceptions of soybean producers were explored through interviews, translated into climatic indicators and then studied using a multi-model climate data analysis. Soybean producers perceived the present flood risk for rural accessibility to be of the highest concern, especially during the harvest and sowing seasons when heavy machinery needs to reach soybean lots. An analysis of climatic change projections found a rising trend in annual and harvest precipitation and a slight drying trend during the sowing season. This indicates that the flood risk for harvest accessibility may increase under climate change. Several adaptation strategies were identified that can systemically address flood risks, but these require collaborative action and cannot be undertaken by individual producers. The results suggest that if cooperative adaptation efforts are not made in the short term, the continued increase in flood risk may force soybean producers in the case study locations to shift away from soybean towards more robust land uses.

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