smart R: An r package for spatial modelling of fisheries and scenario simulation of management strategies-Reference-Cited by-同舟云学术

smart R: An r package for spatial modelling of fisheries and scenario simulation of management strategies

Published:2020-04-18 Issue:7 Volume:11 Page:859-868
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

D'Andrea Lorenzo¹^ORCID,Parisi Antonio²,Fiorentino Fabio³,Garofalo Germana³,Gristina Michele⁴,Cataudella Stefano¹,Russo Tommaso¹

Affiliation:

1. Laboratorio di Ecologia Sperimentale ed Acquacoltura (LESA) Università degli studi di Roma Tor Vergata Roma Italy

2. Dipartimento di Economia e Finanza (DEF) Università degli studi di Roma Tor Vergata Roma Italy

3. Istituto per le Risorse Biologiche e le Biotecnologie Marine (IRBIM) Consiglio Nazionale delle Ricerche (CNR) Mazara del Vallo (TP) Italy

4. Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino (IAS)Consiglio Nazionale delle Ricerche (CNR) Palermo (PA) Italy

Funder

European Commission

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13394

Reference40 articles.

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2. Bottom trawl fishing footprints on the world’s continental shelves

3. Efficient regionalization techniques for socio‐economic geographical units using minimum spanning trees

4. Bio-economic modelling for marine spatial planning application in North Sea shrimp and flatfish fisheries

5. DISPLACE: a dynamic, individual-based model for spatial fishing planning and effort displacement — integrating underlying fish population models

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