Mapping Small-scale Fishing Activity in the Northern Gulf of California, Mexico
1. Acknowledgements
Funding Agencies:
â˘Consejo Nacional de Ciencia y TecnologĂa
â˘David and Lucile Packard Foundation
â˘The University of Arizona
â˘Wallace Research Foundation
Committee Members:
â˘Dr. William Shaw
â˘Dr. Barron Orr
â˘Dr. Philip Guertin
â˘Dr. Tom McGuire
To my family:
James Collins
Jorge, Alba, Raquel, Jorge y Marcos
Dr. Luz VĂĄzquez
Dr. Jaime Nubiola
Art Lab: Mickey Reed, Andrew
Honaman, Craig Weisler
SNR: Kathi, Samia, Taryn, Sonya
â˘Dr. Richard Cudney-Bueno and PANGUEROS: Ana Cinti and Dr. Jennie Duberstein,
Nabor Encinas, Erika Koltenuk, Alejandro Castillo, Dr.
Miguel LavĂn, Rene Loaiza, Cesar Moreno, AdriĂĄn
MunguĂa, Tad Pfister, Dr. Pete Raimondi, Mario Rojo,
Alyssa Rosemartin, Ăngeles SĂĄnchez, Gaspar Soria, Dr.
Jorge Torre, Peggy Turk
Tucsonian Friends: Mariano, Anne, Hugo, Adriana, Mari, Nadia, Alma, Maite, Pablo, Pat, Mike, Patricia,
Laura, Jeremiah, Dan, Alison, Zack, Mattie, Monica, Don Carlos, Forest, Michele, Gillian, Emiliano.
2. MAPPING THE HUMAN DIMENSION
of Small-scale Fisheries in the
Northern Gulf of California, Mexico.
Marcia Moreno-Baez
3. Small-scale Fisheries are Central to the
Economic Vitality and Food Security of
Many Countries
⢠38 million people are classified as fishers
(BĂŠnĂŠ, Macfadyen and Allison, 2007)
⢠~90 percent are considered small-scale
⢠An additional 100+ million people involved in
the post-harvest sector
4. Most of the World's Fisheries Science
has been devote to Stock Assessment
⢠The disciplinary focus has been on biology
and, to some extent, economics
⢠Conventional approaches have not adequately
addressed the socio economic needs of
fisheries (Berkes et al. 2001)
5. THE GULF OF CALIFORNIA
Has a rich history in commercial
fisheries
8. Best Available Information is Needed for
Successful Planning
Biophysical
Social
SmallEBM
scale
PANGAS
Fisheries
Political
Economic
9. Research Goal
To understand the human dimension of
small-scale fishing activities for
developing fisheries management plans
in the NGC
Biophysical
Social
Political
Economic
Smallscale
Fisheries
10. Objectives
⢠Use local knowledge to characterize fishing activities
⢠Understand the implications and contributions to
fisheries management
â
â
â
â
â
â
Who is fishing?
Where are they fishing?
What are they capturing?
How are they fishing?
When are they fishing?
Where are the spawning and reproductive sites?
12. Methods
Rapid Appraisal
Review of Existing Data
Integration of Local Knowledge
Design Semi-structured
Interview
Stratify Random Sampling
Internal Validation
Spatial and Temporal Analysis
Photo: PĂŠrez, S./CEDO
n = 376
15% of total number of
panga captains
Conducting Interviews in
17 Fishing Communities
13. Semi-structure Interviews and
Participatory Mapping
1st Section
General
Information and
Social networks
Opinion about
fisheries
Target species
2nd Section
Spatial and
Temporal
distribution
Reproductive and
â˘Nursery grounds do
What species
And life history
you make a
dedicated trip to capture?
⢠What other species do you target?
Problems and
⢠Of all of these, what are the three
Additional
Information
most important?
14. Semi-structure Interviews and
Participatory Mapping
2nd Section
Spatial and
Temporal
distribution
Reproductive and
Nursery grounds
And life history
Problems and
Additional
Information
⢠What are your three primary fishing
zones for this species?
⢠What are your three secondary
fishing zones for this species?
15. Methods
Rapid Appraisal
n(i)= 376
n(m) = 764
Integration of Local Knowledge
Internal Validation
Spatial and Temporal Analysis
Compilation
Digital Integration
ArcGIS⢠9.2
Preliminary Analysis
ArcGIS⢠9.2
22. Spatial Analysis to Meet the
Objectives
Who, What, Where, How and, When
Characterize
Fishing Activity
Common
Seasonal Fishing
Grounds
Vector-based
Analysis
Spawning and
Juvenile areas
+
Relative
Importance of
Fishing Grounds
Raster-based
Analysis
23. Different Vector-based Analyses
Were Used to Meet Objectives
Attribute
Queries
Species , Communities,
Fishing Method, Spawning
and juvenile areas
Relational
Algebra
Operators
Intersection = communities
overlap, Union = temporal
analysis
24. Spatial and Temporal Analysis to Meet
the Objectives
Characterize
Fishing Activity
Common
Seasonal Fishing
Grounds
Vector-based
Analysis
Spawning and
Juvenile areas
+
Raster-based
Analysis
25. Different Vector-based Analyses
Were Used to Meet Objectives
Attribute
Queries
+
Euclidian
Distance
Maximum and
median distance
from communities
26. Spatial and Temporal Analysis to Meet
the Objectives
Characterize
Fishing Activity
Common
Seasonal Fishing
Grounds
Vector-based
Analysis
Spawning and
Juvenile areas
Relative
Importance of
Fishing Grounds
Raster-based
Analysis
27. Raster-based Analysis Was Utilized to
Understand the Importance of Fishing
Grounds
⢠What are your three primary
fishing zones for this species?
⢠What are your three secondary
fishing zones for this species?
Grid Creation
(1.5 x 1.5
miles pixel
size)
Level of
Importance =
Value assigned
to pixel
Geostatistics
+ Fuzzy Logic
Fishing
Ground
Relative
Importance
Primary Fishing zones = 1.0
Secondary Fishing zones = 0.5
29. Fishing activity in 60%
Of the total area
Fishing activity in 89%
Of the coast line
Rapid Appraisal 2005 - 2006
30. Rapid Appraisal 2005 - 2006
Communities
Max. Dist. (km)
Med. Dist. (km)
San Luis Gonzaga
51
Santo Tomas
43
San Jorge
177
San Felipe
Puerto PeĂąasco
94
Puerto Lobos
200
Puerto Libertad
18
Punta Jaguey
50
Punta Chueca
Los Dorados de Villa
108
Las Ănimas
95
Golfo de Santa Clara
100
El Barril
99
Desemboque Seri
150
Desemboque de Caborca
Bahia de los Ăngeles
Bahia de Kino
Distance (km)
Traveled Distances from Community to Fishing Grounds
250
207
181
162
145
125
94
77
61
21
0
31. Results
⢠Who is fishing?
⢠Where are they fishing?
Where is fishing activity
concentrating?
Isla Ăngel de
La Guarda
Isla TiburĂłn
Rapid Appraisal 2005 - 2006
33. What are People Fishing?
⢠74 species are being harvest
⢠58 target species
â Based on a dedicated trip
⢠Spatial distribution of harvest location of 52
species
(Moreno-Baez et al, In press)
34. Octopus hubssorum or O. bimaculatus
Epinephelus acanthistius
Isla Ăngel de
La Guarda
Isla TiburĂłn
Rapid Appraisal 2005 - 2006
35. Rapid Appraisal 2005 - 2006
Number of Species Captured by Each
Community
Number of Communities
5
4
3
2
1
0
1-10
11-20
21-30
31-40
41-50
Number of Species Captured
51-60
61-70
40. Results
â˘
â˘
â˘
â˘
â˘
â˘
Who is fishing?
Where are they fishing?
What are they capturing?
How are they fishing?
When are they fishing?
Where are the spawning and reproductive
sites?
Rapid Appraisal 2005 - 2006
41. Implications for Management
⢠The spatial and temporal data may provide
support that helps managers balance the
local demand for the resource and the
ecological integrity of the system
43. Conclusions
⢠Key local knowledge can be incorporated
into and corroborated during the datacollection process
⢠Data can be used within large, regional
scales with multiple fishing communities
and highly diverse fishing activities
44. Conclusions
ď§ Incorporating fishersâ knowledge through
participatory research can provide essential
information for the development of any
future management schemes in the NGC
45. Conclusions
⢠This process increases the opportunity for
dialogue between local fishers, natural
resource managers, and researchers
⢠Engagement of local fishers can bring
transparency to integration of local
knowledge
46. The Human Dimension is Only One
Aspect to be Incorporated into
Planning for Fisheries Management
Biophysical
Social
Smallscale
Fisheries
Political
Economic
Different spatio-temporal analyses were used to meet the objectivesMENTION ALL THE QUESTION AND SAY THAT, THOSE Q. HELPED ME TO CHARACTERIZED⌠FIND ABOUT ALL COMMON SEASONAL FISH⌠SPA..
Vector âbase analysisIntersection: to identify common fishing grounds among communities (translated into potential areas of conflict)Binary data for fishing seasons (presence âabsence)Grid creation (1.5 x 1.5 miles)By community and by speciesTo understand the number of present communities working in a site, or number of species usually fished there according to fishers knowledge
Different spatio-temporal analyses were used to meet the objectives
Different spatio-temporal analyses were used to meet the objectives