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Farming of seaweeds 2015

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Abstract

Seaweed farming at sea is proving an increasingly competitive biomass production alternative for food and related uses. Farmed seaweed output has been growing exponentially, reaching 24 million tons by 2012. Remarkably, 99 % of this production occurred in merely eight Asian nations. Most of the remaining 150 countries and territories with coasts are yet to begin seaweed farming. With current technology and extensive available sea areas, requiring no land, freshwater or fertilizers, seaweed production can expand sustainably to the scale of agriculture, while providing a variety of valuable ecosystem services. Following a deductive or principle-based approach, that establishes seaweed primary productivity as a basis for food production, this chapter describes the fundamentals of seaweed farming, harvest and post-harvest techniques, ecological and economic considerations and a perspective on opportunities and challenges. The objective is to provide both an overall account of the state-of-the-art on seaweed farming as well as a contribution to the industry's sustainable development.
In: B. Tiwari and D. Troy (Eds.).
Seaweed Sustainability - Food and Non-
Food Applications. Elsevier, Amsterdam.
September 2015.
Chapter 3. Farming of Seaweeds
Ricardo Radulovich
1
, Amir Neori
2
, Diego Valderrama
3
, C.R.K. Reddy
4
, Holly Cronin
5
and John Forster
6
Summary
Seaweed farming at sea is proving an increasingly competitive biomass production alternative for food
and related uses. Farmed seaweed output has been growing exponentially, reaching 24 million tons by
2012. Remarkably, 99 % of this production occurred in merely eight Asian nations. Most of the
remaining 150 countries and territories with coasts are yet to begin seaweed farming. With current
technology and extensive available sea areas, requiring no land, freshwater or fertilizers, seaweed
production can expand sustainably to the scale of agriculture, while providing a variety of valuable
ecosystem services. Following a deductive or principle-based approach, that establishes seaweed
primary productivity as a basis for food production, this chapter describes the fundamentals of seaweed
farming, harvest and post-harvest techniques, ecological and economic considerations and a perspective
on opportunities and challenges. The objective is to provide both an overall account of the state-of-the-
art on seaweed farming as well as a contribution to the industry’s sustainable development.
Key words
Agriculture, Aquaculture, Climate change, Coastal, Cultivation, Food production, Macroalgae, Nutrition,
Ocean, Off shore, Sea farming, Seaweed, Water shortage.
Sections
1. Introduction
2. Seaweed production and use in perspective
3. Primary production: the need and means to increase it
4. Seaweed farming principles
5. Seaweed cultivation techniques
6. Wild harvesting
7. Harvesting of cultivated seaweeds
8. Basic postharvest handling
9. Ecological and environmental impacts of seaweed farming
10. Economic and social considerations of seaweed farming
11. Opportunities and challenges
12. Conclusions: an idea whose time has come
1
Department of Biosystems Engineering, University of Costa Rica, San José, Costa Rica.
2
Israel Oceanographic and Limnological Research Ltd., National Center for Mariculture, Eilat, Israel.
3
Food and Resource Economics Department, University of Florida, Gainesville, Florida, USA.
4
CSIR-Central Salt and Marine Chemicals Research Institute, Bhavnagar, Gujarat, India.
5
Dept. of Geography, McGill University, Montreal, Canada; and Smithsonian Tropical Research Institute, Panama.
6
Forster Consulting Inc., Port Angeles, Washington, USA.
... A sustainable large-scale commercial use of macroalgae feedstock requires extensive macroalgae farming, or seagriculture 3 , as natural stocks are limited and wild-stock harvesting leads inevitably to over-exploitation 4 . Such large-scale farming has developed during the last 50 years in a few Asian nations in which demand has traditionally existed, but has failed to rise in most coastal countries, mainly due to low demands 5 Therefore, the necessary steps to increase the robustness of the multi-scale model and decrease the level of uncertainty are to study the dynamics of model variables and to perform high-resolution calibration of model parameters on different scales. ...
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