|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM165624760 |
| 003 |
DE-627 |
| 005 |
20231223105113.0 |
| 007 |
tu |
| 008 |
231223s2006 xx ||||| 00| ||eng c |
| 028 |
5 |
2 |
|a pubmed24n0552.xml
|
| 035 |
|
|
|a (DE-627)NLM165624760
|
| 035 |
|
|
|a (NLM)17002764
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Lynch, Tim P
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Incorporation of recreational fishing effort into design of marine protected areas
|
| 264 |
|
1 |
|c 2006
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
| 338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 01.12.2006
|
| 500 |
|
|
|a Date Revised 15.11.2012
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a CommentIn: Conserv Biol. 2008 Apr;22(2):482-5; discussion 486-91. - PMID 18402587
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a Theoretical models of marine protected areas (MPAs) that explore benefits to fisheries or biodiversity conservation often assume a dynamic pool of fishing effort. For instance, effort is homogenously distributed over areas from which subsets of reserves are chosen. I tested this and other model assumptions with a case study of the multiple-use Jervis Bay Marine Park. Prior to zoning of the park I conducted 166 surveys of the park's recreational fisheries, plotting the location of 16,009 anglers. I converted these plots into diagrams of fishing effort and analyzed correlates between fishing and habitat and the effect of two reserve designs-the draft and final zoning plans of the park-on the 15 fisheries observed. Fisheries were strongly correlated with particular habitats and had negatively skewed and often bimodal spatial distribution. The second mode of intensely fished habitat could be 6 SD greater than the fishery's mean allocation of effort by area. In the draft-zoning plan, sanctuary zone (no-take) area and potential subduction of fishing effort were similar. In the final plan, which was altered in response to public comment, the area of sanctuary zone increased, and the impact on fishing effort decreased. In only one case was a fishery's most intensely targeted location closed to fishing. Because of the discriminating manner with which fishers target habitats, if simple percentage targets are used for planning, sanctuary location can be adjusted to avoid existing fishing effort. According to modeled outcomes, the implication of this may be diminished reserve effectiveness. To address this, reserve area should be implicitly linked to subducted fishing effort when promoting or modeling MPAs
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 773 |
0 |
8 |
|i Enthalten in
|t Conservation biology : the journal of the Society for Conservation Biology
|d 1999
|g 20(2006), 5 vom: 15. Okt., Seite 1466-76
|w (DE-627)NLM098176803
|x 1523-1739
|7 nnns
|
| 773 |
1 |
8 |
|g volume:20
|g year:2006
|g number:5
|g day:15
|g month:10
|g pages:1466-76
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 20
|j 2006
|e 5
|b 15
|c 10
|h 1466-76
|