2017
DOI: 10.1016/j.fishres.2017.05.007
|View full text |Cite
|
Sign up to set email alerts
|

Network analysis of a regional fishery: Implications for management of natural resources, and recruitment and retention of anglers

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
9

Relationship

4
5

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 45 publications
0
5
0
Order By: Relevance
“…Neglecting to consider spatial properties of angler-fish interactions could lead to unintended consequences (Kaemingk et al 2018). In our case, setting harvest regulations that consider the catchment area (i.e., spatial draw) of anglers to a particular water body could improve assessing and achieving management goals (Martin et al 2015(Martin et al , 2017.…”
Section: Discussionmentioning
confidence: 97%
“…Neglecting to consider spatial properties of angler-fish interactions could lead to unintended consequences (Kaemingk et al 2018). In our case, setting harvest regulations that consider the catchment area (i.e., spatial draw) of anglers to a particular water body could improve assessing and achieving management goals (Martin et al 2015(Martin et al , 2017.…”
Section: Discussionmentioning
confidence: 97%
“…Systems could reside in multiple different system states and resilience stages within a management unit (e.g., regional fishery; Martin and Pope, 2011;Chizinski et al, 2014;Martin et al, 2017), which affords the opportunity to focus efforts on a subset of systems, perhaps based on ecosystem size (Kaemingk et al, 2019). Again, a resilience management framework would facilitate prioritizing which systems should be selected based on their system state and resilience stage as well as available resources.…”
Section: Discussionmentioning
confidence: 99%
“…The ongoing creation of fishing-orientated technology and mobile applications presents an exciting opportunity for collaboration amongst researchers, technology devel-opers and resource managers. Integration of mobile data into angler network models, for example, could lead to new developments in graph-theory methods to identify the most influential nodes (water-bodies) and edges (pathways between water-bodies) in terms of propagule pressure (Martin et al 2017), beyond what is currently supported by more limited in-person or mail survey data (e.g. Muirhead and MacIsaac 2005;Stewart-Koster et al 2015).…”
Section: Discussionmentioning
confidence: 99%