Farming System Approaches for Climate Resilience in Coastal Agriculture

2021 ◽  
pp. 11-19
Author(s):  
R.M. Kathiresan
Author(s):  
Dayanidhi Chaubey ◽  
Ved Prakash ◽  
Tikam Chand Yadav ◽  
Garima Singh

2021 ◽  
Author(s):  
Olef Koch ◽  
Pierre L. Ibisch ◽  
Ralf Bloch

Abstract Applying a Regional Integrated Vulnerability Assessment (RIVAS), this study aims to identify local farming system characteristics, their climate change vulnerability and how they are affected by current land use changes. Results show that the assessed farming systems' multifunctionality is essential to rural livelihoods whilst sustaining crop and tree diversity. While dry season crop diversity drives household's sufficiency and capacity to respond to crop failure, medium-low productivity in more than a third of the assessed systems, and soil degradation in cereal fields lessen adaptive capacity. For their contribution to climate resilience diverse and perennial cropping regimes should be promoted and maintained.


2005 ◽  
Vol 45 (6) ◽  
pp. 617 ◽  
Author(s):  
P-B. Joly

The question of the resilience of farming system approaches and farming systems resulting from current changes in the agricultural sector has lead to the identification of 3 key challenges. These are (i) increasing competition, (ii) privatisation of agricultural research, and (iii) the transition towards a ‘risk society’. The way farming system approaches may turn these challenges into opportunities implies a major change: it is not enough to act locally and think globally. It is necessary to integrate various scales of analysis and various levels of action, and it is no longer enough to only act in the farming systems arena. One must also be heard in the policy making spheres and be active in the policy making processes. Although they require major adaptations, such changes appear to be consistent with the past trajectory of farming system approaches.


2019 ◽  
Vol 48 (3) ◽  
pp. 417-425
Author(s):  
Md Khayrul Alam Bhuiyan ◽  
Md Akhter Hossain ◽  
Abdul Kadir Ibne Kamal ◽  
Mohammed Kamal Hossain ◽  
Mohammed Jashimuddin ◽  
...  

A study was conducted by using 5m × 5m sized 179 quadrates following multistage random sampling method for comparative regenerating tree species, quantitative structure, diversity, similarity and climate resilience in the degraded natural forests and plantations of Cox's Bazar North and South Forest Divisions. A total of 70 regenerating tree species were recorded representing maximum (47 species) from degraded natural forests followed by 43 species from 0.5 year 39 species from 1.5 year and 29 species from 2.5 year old plantations. Quantitative structure relating to ecological dominance indicated dominance of Acacia auriculiformis, Grewia nervosa and Lithocarpus elegans seedlings in the plantations whereas seedlings of Aporosa wallichii, Suregada multiflora and Grewia nervosa in degraded natural forests. The degraded natural forests possess higher natural regeneration potential as showed by different diversity indices. The dominance-based cluster analysis showed 2 major cluster of species under one of which multiple sub-clusters of species exists. Poor plant diversity and presence of regenerating exotic species in the plantations indicated poor climate resilience of forest ecosystem in terms of natural regeneration.


Author(s):  
C. Van der Geest

I am a 30-year-old sharemilker on my parent's 600 cow developing farm near Blackball on the western side of the Grey Valley. Earlier this year I competed in the National Young Farmer of the Year competition and finished a close third. So what is information? There are two types of information that I use. There is data gathered from my farm to help fine tune the running of the day to day operations on the farm And directional information This is the information that arrives in papers and directs the long-term direction and plans of the farm and farming businesses. Due to the variability in weather on the Coast there is a greater need to monitor and adjust the farming system compared to an area like Canterbury. This was shown last year (2001/02) when the farm was undergoing a rapid period of development and I was under time restraints from increasing the herd size, building a new shed as well as developing the farm. The results of the time pressure was that day to day information gathering was lower resulting in per cow production falling by 11% or around $182 per cow. So what information was lacking that caused this large drop in profit. • Pasture growth rates • Cow condition • Nitrogen requirements • Paddock performance • Milk production • Pre-mating heat detection As scientists and advisers I hear you say that it is the farmer's responsibility to gather and analyse this information. You have the bigger topics to research and discover, gene marking, improving pasture species, sexing of sperm and ideas that I have not even contemplated yet. This is indeed very valuable research. Where would farming be without the invention of electric fences, artificial breeding and nitrogen research? But my problem is to take a farm with below average production to the top 10% in production with the existing technology and farming principles. I have all the technical information I need at the end of a phone. I can and do ring my consultant, fertiliser rep, vet, neighbour and due to the size and openness of New Zealand science, at present if they do not know I can ring an expert in agronomy, nutrition, soils and receive the answer that I require. I hope that this openness remains as in a time of privatisation and cost cutting it is a true advantage. I feel that for myself the next leap in information is not in the growing of grass or production of milk but in the tools to collect, store and utilise that information. This being tied to a financial benefit to the farming business is the real reason that I farm. Think of the benefits of being able to read pasture cover on a motorbike instantly downloaded, overlaying cow intake with milk production, changes in cow weight, daily soil temperature and predicted nitrogen response. Telling me low producing cows and poor producing paddocks, any potential feed deficits or surpluses. This would be a powerful information tool to use. The majority of this information is already available but until the restraints of time and cost are removed from data gathering and storage, this will not happen.


1983 ◽  
Vol 10 (1) ◽  
pp. 41-71 ◽  
Author(s):  
G J Barclay

SUMMARY Myrehead has revealed the eroded remnants of activity from the Beaker period (Period A) onwards, with actual settlement evinced only from about the early first millennium be. The three houses and the cooking pits of Period B may have been constructed and used sequentially. This open settlement was probably replaced during the mid first millennium bc, possibly without a break, by a palisaded enclosure (Period C), which may have contained a ring-groove house and a four-post structure. Continued domestic activity (Period D) was suggested by a single pit outside the enclosure, dated to the late first millennium bc/early first millennium ad. The limited evidence of the economy of the settlements suggests a mixed farming system.


2017 ◽  
Vol 4 (2) ◽  
pp. 23-27
Author(s):  
Mergia Abera ◽  
Tekleyohannes Berhanu

Participatory on-farm evaluation of improved forage crops was conducted in six mixed farming system districts of Southern Ethiopia with the objective to identify farmers preferred forage crops (legumes and grasses). Two annual forage legumes (Vigna unguiculata L. (cow pea) and Lablab purpureus (L.), two perennial legumes (Medicago sativa (L.) (alfalfa) and Desmodium intortum (Mill.) Urb. (green-leaf)), and three perennial grasses (Chloris gayana Knuth (Rhodes grass) and two Pennisetum purpureum Schumach (elephant grass) accessions (No.16800 and 16798)) were evaluated in the study. The major farmers’ criteria considered in the evaluation of forage species were vegetative growth, herbage yield, tillering, protection of soil erosion, palatability, perfor- mance under dry weather conditions, performance in marginal area under low input management, multipurpose use (conservation and soil fertility) and fast growing condition. The study showed that elephant grass accession No. 16798, 16800 and Chloris gayana adapted well and farmers preferred them for their higher herbage yield, vegetative growth, tillering ability and drought resistance. Even though the annual forage legumes Lablab purpureus and Vigna unguiculata were superior in their forage yield, the farmers preferred the perennial forage legumes (Desmodium intortum and Medicago sativa) mainly for their performance under dry weather condi- tion due to their longer growth period. Therefore, the consideration of farmers’ preference for forage crops is crucial for increased adoption of improved forage crops in the region.


Sign in / Sign up

Export Citation Format

Share Document