The Principles of Transdisciplinary Research in Small-Scale Fisheries View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-10-16

AUTHORS

Alicia Said , Ratana Chuenpagdee , Alfonso Aguilar-Perera , Minerva Arce-Ibarra , Tek Bahadur Gurung , Bonnie Bishop , Marc Léopold , Ana Isabel Márquez Pérez , Sérgio M. Gomes de Mattos , Graham J. Pierce , Prateep K. Nayak , Svein Jentoft

ABSTRACT

The diverse characteristics, values, and importance of small-scale fisheries imply at least two key considerations. First, there is no tailor-made, one-size-fits-all solution to the problems and challenges facing small-scale fisheries; thus, policy and governance must be sensitive to the contexts. Second, the close relationship and interactivity between the natural and the social dimensions of small-scale fisheries suggests that knowledge and understanding about small-scale fisheries may need to transcend the boundaries of academic disciplines. These are the premises for research and activities conducted in the Too Big To Ignore (TBTI) – Global Partnership for Small-Scale Fisheries Research. Taking a transdisciplinary approach to research, training, and learning about small-scale fisheries can help address real-world problems and reveal opportunities to move towards pragmatic solutions. In this chapter, we discuss what transdisciplinarity involves, what the underlying principles are, and what makes it distinct from other perspectives. We argue that transdisciplinarity in small-scale fisheries requires institutional and academic innovation at local and national scales that facilitates interactive and transformative learning. More... »

PAGES

411-431

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-94938-3_22

DOI

http://dx.doi.org/10.1007/978-3-319-94938-3_22

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107649638


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-94938-3_22'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-94938-3_22'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-94938-3_22'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-94938-3_22'


 

This table displays all metadata directly associated to this object as RDF triples.

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