PARTICIPATORY RESOURCE ASSESSMENT OF THE COASTAL …faspselib.denr.gov.ph/sites/default/files... ·...

An Initiative of the Government of the Philippines implemented An Initiative of the Government of the Philippines implemented An Initiative of the Government of the Philippines implemented An Initiative of the Government of the Philippines implemented by the Department of Environment and Natural Resources and by the Department of Environment and Natural Resources and by the Department of Environment and Natural Resources and by the Department of Environment and Natural Resources and the LGUs of Camiguin the LGUs of Camiguin the LGUs of Camiguin the LGUs of Camiguin with funding support from New Zealand with funding support from New Zealand with funding support from New Zealand with funding support from New Zealand

Agency for International DevelopmentAgency for International DevelopmentAgency for International DevelopmentAgency for International Development

Management ServiceManagement ServiceManagement ServiceManagement Servicessss ConConConContractortractortractortractor, Tetra Tech EMI, Tetra Tech EMI, Tetra Tech EMI, Tetra Tech EMI

PARTICIPATORY RESOURCE ASSESSMENTPARTICIPATORY RESOURCE ASSESSMENTPARTICIPATORY RESOURCE ASSESSMENTPARTICIPATORY RESOURCE ASSESSMENT

OF THE COASTAL AND MARINE OF THE COASTAL AND MARINE OF THE COASTAL AND MARINE OF THE COASTAL AND MARINE

HABITATS OF CAMIGUHABITATS OF CAMIGUHABITATS OF CAMIGUHABITATS OF CAMIGUIIIIN ISLANDN ISLANDN ISLANDN ISLAND

Section

1111 The PRA ActivitThe PRA ActivitThe PRA ActivitThe PRA Activit

General PRA Re

General Recomm

2222 PRA of the MunPRA of the MunPRA of the MunPRA of the Mun

General PRA Re

Recommendatio

Brgy. Bugang, Sa

Brgy. Mayana, S

Brgy. Poblacion

Brgy. Bonbon, S

Brgy. Alangilan,

Brgy. Manuyog,

Brgy. Balite, Sag


General PRA Re

Recommendatio

Brgy. Bonbon, C

Brgy. Catibac, C

Brgy. Lawigan, C

Brgy. Panghiaw

Brgy. Compol, C

Brgy. Poblacion

Brgy. Alga, Cata

Brgy. Tangaro, C


General PRA Re

Recommendatio

Brgy. Tupsan Pe

Brgy. Catuhogan

Participatory Resource Assessment of Camiguin, 2008 (Final

TABLETABLETABLETABLE OF CONTENTSOF CONTENTSOF CONTENTSOF CONTENTS

tivity ……………………………………………………ivity ……………………………………………………tivity ……………………………………………………ivity ……………………………………………………

Results (Province-Wide) ………………………………

ommendations …………………………………………

unicipality of Sagay …………………………………unicipality of Sagay …………………………………unicipality of Sagay …………………………………unicipality of Sagay …………………………………

Results …………………………………………………

ations ……………………………………………………

g, Sagay …………………………………………………

a, Sagay …………………………………………………

ion, Sagay ………………………………………………

n, Sagay …………………………………………………

lan, Sagay ………………………………………………

og, Sagay ………………………………………………

Sagay ……………………………………………………

unicipality of Catarman ………………………………unicipality of Catarman ………………………………unicipality of Catarman ………………………………unicipality of Catarman ………………………………

Results …………………………………………………

ations ……………………………………………………

n, Catarman ......………………………………………

c, Catarman ......………………………………………

n, Catarman ......………………………………………

iawan, Catarman ......…………………………………

ol, Catarman ......………………………………………

ion, Catarman ......……………………………………

atarman …….....………………………………………

ro, Catarman .....………………………………………

unicipality of Mahinog ………………………………unicipality of Mahinog ………………………………unicipality of Mahinog ………………………………unicipality of Mahinog ………………………………

Results …………………………………………………

ations ……………………………………………………

Pequeño, Mahinog …………………………………

gan, Mahinog ……………………………………….

al Report), page - iiiiiiii

Page

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Section

4 Brgy. Hubangon

Brgy. San Jose, M

Brgy. Binaliwan

Brgy. Poblacion

Brgy. San Roque

Brgy. Benoni, M

Brgy. San Migue


General PRA Re

Recommendatio

Brgy. Naasag, M

Brgy. Yumbing,

Brgy. Agoho, M

Brgy. Bug-ong, M

Brgy. Kuguita, M

Brgy. Baylao, M

Brgy. Poblacion

Brgy. Balbagon,

Brgy. Anito, Ma

Brgy. Magting, M

Brgy. Tupsan Gr


General PRA Re

Recommendatio

Brgy. Maac, Gu

Brgy. Cabuan, G

Brgy. Cantaan, G

Brgy. North Pob

Brgy. South Pob

Brgy. Liong, Gu

Participatory Resource Assessment of Camiguin, 2008 (Final

gon, Mahinog ………………………………............

se, Mahinog ……………………………………….....

an, Mahinog …………………………………………

ion, Mahinog ………………………………………...

que, Mahinog …………………………………….....

i, Mahinog …………………………………………….

iguel, Mahinog …………………..…………………..

unicipality of Mambajao ……………………………unicipality of Mambajao ……………………………unicipality of Mambajao ……………………………unicipality of Mambajao ……………………………

Results …………………………………………………

ations ……………………………………………………

g, Mambajao ..……………..…………………............

ng, Mambajao ..……………..………………….........

, Mambajao ..……………..…………………............

g, Mambajao .……………..…………………...........

a, Mambajao ..……………..…………………...........

, Mambajao ..……………..…………………............

ion, Mambajao ..……………..………………….......

on, Mambajao ..……………..…………………........

Mambajao ..……………..…………………..............

g, Mambajao ..……………..…………………..........

Grande, Mambajao ..……………..…………………

unicipality of Guinsiliban ……………………………unicipality of Guinsiliban ……………………………unicipality of Guinsiliban ……………………………unicipality of Guinsiliban ……………………………

Results …………………………………………………

ations ……………………………………………………

Guinsiliban ..……………..…………………..............

n, Guinsiliban ..……………..…………………...........

n, Guinsiliban ..……………..…………………..........

Poblacion, Guinsiliban ..……………..………………

Poblacion, Guinsiliban ..……………..…………………

Guinsiliban ..……………..…………………..............

al Report), page - iiiiiiiiiiii

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The Participatory Resource Assessment (PRA) of marine habitats of the five municipalities of

Camiguin Island was conducted from May 12

shown in Appendix 1.

Composing the PRA team were

• Janet S. Estacion, Ph.D. (Team Leader, CCRMP Monitoring and Evaluation

Specialist - Biophysical)

• Oliver R. T. Paderanga (Camiguin State Polytechnic State College)

• Bernardo L. Jasma, Jr. (PRA and MPA monitoring Research Assistant)

• Jean O. Polo (Department of Environment and Natural Resources, Region X)

• Diwata Amida Macansantos (CCRMP Project Officer)

• Julie Jadman (CCRMP Technical Assistant)

• Ron Kirby B. Manit (Volunteer)

• Ryan A. Neri (Volunteer)

• Evelyn Deguit (CCRMP Field Coordinator)

The PRA process involved three days per municipality wherein selected local participants from

the community (ranging from fisherfolks to members of the

trained in PRA methods (Day 1)

presented their results (Day 3)

• Coral reef cover survey

• Reef fish composition and biomass

• Seagrass cover and its associated macroinvertebrates

belt-method, respectively,

Participatory Resource Assessment of Camiguin, 2008 (Final Report)

SectionSectionSectionSection 1: 1: 1: 1:

THE PRA ACTIVITYTHE PRA ACTIVITYTHE PRA ACTIVITYTHE PRA ACTIVITY


was conducted from May 12-31, 2008. A detailed schedule of activities is

team were the following:

Janet S. Estacion, Ph.D. (Team Leader, CCRMP Monitoring and Evaluation

Biophysical)

Oliver R. T. Paderanga (Camiguin State Polytechnic State College)

Bernardo L. Jasma, Jr. (PRA and MPA monitoring Research Assistant)

Jean O. Polo (Department of Environment and Natural Resources, Region X)

Diwata Amida Macansantos (CCRMP Project Officer)

Julie Jadman (CCRMP Technical Assistant)

Ron Kirby B. Manit (Volunteer)

Ryan A. Neri (Volunteer)

Evelyn Deguit (CCRMP Field Coordinator)


from fisherfolks to members of the ‘barangay’ (village

(Day 1), conducted actual field surveys (Day 2) and analy

presented their results (Day 3). The PRA training included the following:

oral reef cover survey using point-intercept method,

eef fish composition and biomass using fish visual census method,

eagrass cover and its associated macroinvertebrates using the transect

method, respectively,

(Final Report), page - 1111


. A detailed schedule of activities is

Janet S. Estacion, Ph.D. (Team Leader, CCRMP Monitoring and Evaluation

Oliver R. T. Paderanga (Camiguin State Polytechnic State College)

Bernardo L. Jasma, Jr. (PRA and MPA monitoring Research Assistant)

Jean O. Polo (Department of Environment and Natural Resources, Region X)


village) council were

and analyzed and

using the transect-quadrat and

• Mangrove forest status

measurement of the circumference at breast height, and

• Fish catch enumeration

Since not all of the municipalities had seagrass beds and mangrove forests, t

training depended upon habitats present in

determined in a separate PCRA

Common to all the municipalities were coral reef and reef fish survey, and fish catch

enumeration.

Day 1: TrainingDay 1: TrainingDay 1: TrainingDay 1: Training. At the beginning of each 3

connection of the PRA Habitat Assessment with the general scheme of the Project’s objectives

(Fig. 1.1) and the PRA team members introduced. Lect

methodologies that will be used (Fig.

module (Appendix 2), a copy of which was

training. After the lecture, participants were

census, fish enumeration and others)(Fig.

methods that will be used. This encouraged more participation and allowed more interaction

between the team members and the participants.


angrove forest status using species identification, density determination and

measurement of the circumference at breast height, and

ish catch enumeration using interview guide questions.

Since not all of the municipalities had seagrass beds and mangrove forests, the coverage of the

nded upon habitats present in the different municipalities. These were previously

in a separate PCRA habitat mapping exercise conducted prior to this activity.


. At the beginning of each 3-day activity, the participants were oriented on the


) and the PRA team members introduced. Lectures were then conducted on the

methodologies that will be used (Fig. 1.2). All the methodologies were provided

, a copy of which was provided for each barangay at the onset of the

After the lecture, participants were then divided into teams (coral survey, fish visual

census, fish enumeration and others)(Fig. 1.3) for more detailed instruction on the specific


ers and the participants.


ation, density determination and

he coverage of the

These were previously

prior to this activity.


day activity, the participants were oriented on the


ures were then conducted on the

provided for in a

at the onset of the

then divided into teams (coral survey, fish visual

3) for more detailed instruction on the specific


Figure Figure Figure Figure 1.1.1.1.1. Orientation of participants by Project Staff, Evelyn Deguit at Catar1. Orientation of participants by Project Staff, Evelyn Deguit at Catar1. Orientation of participants by Project Staff, Evelyn Deguit at Catar1. Orientation of participants by Project Staff, Evelyn Deguit at Catar

Diwata Macansantos at Mambajao (B).Diwata Macansantos at Mambajao (B).Diwata Macansantos at Mambajao (B).Diwata Macansantos at Mambajao (B).

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1. Orientation of participants by Project Staff, Evelyn Deguit at Catar1. Orientation of participants by Project Staff, Evelyn Deguit at Catar1. Orientation of participants by Project Staff, Evelyn Deguit at Catar1. Orientation of participants by Project Staff, Evelyn Deguit at Catarmmmman (A) and an (A) and an (A) and an (A) and

Diwata Macansantos at Mambajao (B).Diwata Macansantos at Mambajao (B).Diwata Macansantos at Mambajao (B).Diwata Macansantos at Mambajao (B).

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Figure Figure Figure Figure 1.1.1.1.2. Formal lectures on habitat 2. Formal lectures on habitat 2. Formal lectures on habitat 2. Formal lectures on habitat

assessment at the Municipality of assessment at the Municipality of assessment at the Municipality of assessment at the Municipality of

Guinsiliban (A) and Mahinog (B)Guinsiliban (A) and Mahinog (B)Guinsiliban (A) and Mahinog (B)Guinsiliban (A) and Mahinog (B)

Dr. Janet EstacionDr. Janet EstacionDr. Janet EstacionDr. Janet Estacion....


an (A) and an (A) and an (A) and an (A) and

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2. Formal lectures on habitat 2. Formal lectures on habitat 2. Formal lectures on habitat 2. Formal lectures on habitat

assessment at the Municipality of assessment at the Municipality of assessment at the Municipality of assessment at the Municipality of

Guinsiliban (A) and Mahinog (B)Guinsiliban (A) and Mahinog (B)Guinsiliban (A) and Mahinog (B)Guinsiliban (A) and Mahinog (B) by by by by

After the group instruction, participants

transects’ (Fig. 1.4) and fish catch enumeration in role

the methods, the land-based exercise also familiarized the participants with the forms that will

be used in the actual survey. After participants readings of

verified by the trainers. If their readings were not accurate, they had to repeat the exercise. At

the end of Day 1, arrangements were made for the logistics of the actual survey: participants

who will conduct the various as

boats and the member of the team who will be assigned to the area.

AAAA

Figure Figure Figure Figure 1.1.1.1.3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral 3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral 3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral 3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral

survey with Oliver Paderanga at Mambajao (B), fish catch survey with Oliver Paderanga at Mambajao (B), fish catch survey with Oliver Paderanga at Mambajao (B), fish catch survey with Oliver Paderanga at Mambajao (B), fish catch

at Guinsiliban (C) and seagrass survey with Janet Estacion (D) at Mahinog.at Guinsiliban (C) and seagrass survey with Janet Estacion (D) at Mahinog.at Guinsiliban (C) and seagrass survey with Janet Estacion (D) at Mahinog.at Guinsiliban (C) and seagrass survey with Janet Estacion (D) at Mahinog.

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articipants then applied the methods for habitat survey

4) and fish catch enumeration in role-playing exercises. Apart from practicing

based exercise also familiarized the participants with the forms that will

be used in the actual survey. After participants readings of the ‘mock transects’ were then



who will conduct the various aspects of the survey, materials needed such as small outrigger

boats and the member of the team who will be assigned to the area.

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3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral 3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral 3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral 3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral

survey with Oliver Paderanga at Mambajao (B), fish catch survey with Oliver Paderanga at Mambajao (B), fish catch survey with Oliver Paderanga at Mambajao (B), fish catch survey with Oliver Paderanga at Mambajao (B), fish catch enumeration with Julie Jadman enumeration with Julie Jadman enumeration with Julie Jadman enumeration with Julie Jadman


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the methods for habitat survey in ‘mock

Apart from practicing

based exercise also familiarized the participants with the forms that will

the ‘mock transects’ were then



pects of the survey, materials needed such as small outrigger

3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral 3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral 3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral 3. Group instruction for fish visual census lead by Bernardo Jasma, Jr at Sagay (A), coral

enumeration with Julie Jadman enumeration with Julie Jadman enumeration with Julie Jadman enumeration with Julie Jadman


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Figure Figure Figure Figure 1.1.1.1.4. Participants reading the ‘mock transect’ together with 4. Participants reading the ‘mock transect’ together with 4. Participants reading the ‘mock transect’ together with 4. Participants reading the ‘mock transect’ together with

(A(A(A(A----B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).


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4. Participants reading the ‘mock transect’ together with 4. Participants reading the ‘mock transect’ together with 4. Participants reading the ‘mock transect’ together with 4. Participants reading the ‘mock transect’ together with trainers at Sagay trainers at Sagay trainers at Sagay trainers at Sagay

B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).


trainers at Sagay trainers at Sagay trainers at Sagay trainers at Sagay

B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).B), Mahinog (C), Mambajao (D), Catarman (E) and Guinsiliban (F).

Day 2: Field Survey. Day 2: Field Survey. Day 2: Field Survey. Day 2: Field Survey. As mentioned, the field survey of all the barangays within a municipality

was conducted within a day. To

(1) All participants involved in coral reef survey and fish visual census had to be

competent in water.

(2) To ensure the safety of the participants, outrigger boats (Fig.

the activity. Some municipalities provided life vests for the activity.

(3) A member of the team was tasked to help 1

number per municipality) with each team member actually in the water with

the participants/trainees during the s

direct guidance, the trainers were also able to validate the data collected by the

participant.

Whenever possible, each barangay should have a survey team composed of 3

for the coral survey, another for the fish visual census and a third to man the boat. In cases

where a barangay did not have a complete team, the neighboring baranga

helped in the conduct of the survey.

Being familiar with their coastal habitats, the participants selected the sites they surveyed.

Within each site, a 50 m transect ropes were laid. These are marked with a red ribbon at

every 2 m interval for coral readings and a blue ribbon at every 5 m interval for the fish visual

census. After the first ‘reading’ the transect rope was again laid until three replicate transects

were done.

Figure Figure Figure Figure 1.1.1.1.5. A typical scene during the habitat assessment: Trainers and participants on outrigger 5. A typical scene during the habitat assessment: Trainers and participants on outrigger 5. A typical scene during the habitat assessment: Trainers and participants on outrigger 5. A typical scene during the habitat assessment: Trainers and participants on outrigger

boats.boats.boats.boats.


As mentioned, the field survey of all the barangays within a municipality

was conducted within a day. To accomplish this, the following measures were taken:


competent in water.

(2) To ensure the safety of the participants, outrigger boats (Fig. 1.5) were used during

activity. Some municipalities provided life vests for the activity.

member of the team was tasked to help 1-3 barangays (depending on the


the participants/trainees during the survey (Fig. 1.6). Apart from providing


, each barangay should have a survey team composed of 3


where a barangay did not have a complete team, the neighboring barangay(s) adopted it and

helped in the conduct of the survey.



erval for coral readings and a blue ribbon at every 5 m interval for the fish visual


5. A typical scene during the habitat assessment: Trainers and participants on outrigger 5. A typical scene during the habitat assessment: Trainers and participants on outrigger 5. A typical scene during the habitat assessment: Trainers and participants on outrigger 5. A typical scene during the habitat assessment: Trainers and participants on outrigger


As mentioned, the field survey of all the barangays within a municipality

accomplish this, the following measures were taken:


5) were used during

activity. Some municipalities provided life vests for the activity.

3 barangays (depending on the


Apart from providing


-4 members: one


y(s) adopted it and



erval for coral readings and a blue ribbon at every 5 m interval for the fish visual


5. A typical scene during the habitat assessment: Trainers and participants on outrigger 5. A typical scene during the habitat assessment: Trainers and participants on outrigger 5. A typical scene during the habitat assessment: Trainers and participants on outrigger 5. A typical scene during the habitat assessment: Trainers and participants on outrigger

Day 3: Analysis and Presentation of Results.Day 3: Analysis and Presentation of Results.Day 3: Analysis and Presentation of Results.Day 3: Analysis and Presentation of Results.

had previous training in habitat assessment. In the case of Camiguin, five of our participants

were already exposed to a 2-

end in data collection and no attention is given on how the collected data set can actually be

analyzed and thus can install a deeper understanding of the importance of habitat monitoring.

This portion of the PRA attempts to address this deficiency.

To do this, participants were given back the data they collected and were taught how to do a

preliminary analysis. They were tasked to do the following:

(A) Coral Reef Survey

the averages of each category for all three tran

illustrate their results (Fig.

Figure Figure Figure Figure 1.1.1.1.6666.... Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background) Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background) Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background) Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background)

participants from Catarman during the field survey.participants from Catarman during the field survey.participants from Catarman during the field survey.participants from Catarman during the field survey.

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Day 3: Analysis and Presentation of Results.Day 3: Analysis and Presentation of Results.Day 3: Analysis and Presentation of Results.Day 3: Analysis and Presentation of Results. It is not uncommon to find participants who have


-week extensive PRA training. However, these trainings usually

n and no attention is given on how the collected data set can actually be


This portion of the PRA attempts to address this deficiency.

ere given back the data they collected and were taught how to do a

preliminary analysis. They were tasked to do the following:

Survey – compute for cover of each category per transect, obtain

the averages of each category for all three transects and make a pie chart to

illustrate their results (Fig. 1.7).

Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background) Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background) Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background) Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background)

participants from Catarman during the field survey.participants from Catarman during the field survey.participants from Catarman during the field survey.participants from Catarman during the field survey.

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It is not uncommon to find participants who have


week extensive PRA training. However, these trainings usually

n and no attention is given on how the collected data set can actually be


ere given back the data they collected and were taught how to do a

compute for cover of each category per transect, obtain

sects and make a pie chart to

Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background) Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background) Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background) Trainers Julie Jadman (A, left) and Oliver Paderanga (B, background)

(B) Fish Visual Census

each fish ‘species’ (‘species’ referring to local names), compute for the average

density for each size

graphs to illustrate their results (Fig.

Figure Figure Figure Figure 1.1.1.1.7. A sample of the pie charts generated using 7. A sample of the pie charts generated using 7. A sample of the pie charts generated using 7. A sample of the pie charts generated using

the coral reef survey data collected by the participants.the coral reef survey data collected by the participants.the coral reef survey data collected by the participants.the coral reef survey data collected by the participants.

Figure Figure Figure Figure 1.1.1.1.8. A sample of a bar graph generated by 8. A sample of a bar graph generated by 8. A sample of a bar graph generated by 8. A sample of a bar graph generated by

from the fish visual census data.from the fish visual census data.from the fish visual census data.from the fish visual census data.


(B) Fish Visual Census – compute the density of fishes per size range per transect for


density for each size class for all the transects for each ‘species’ and make a bar

graphs to illustrate their results (Fig. 1.8).

7. A sample of the pie charts generated using 7. A sample of the pie charts generated using 7. A sample of the pie charts generated using 7. A sample of the pie charts generated using

the coral reef survey data collected by the participants.the coral reef survey data collected by the participants.the coral reef survey data collected by the participants.the coral reef survey data collected by the participants.

8. A sample of a bar graph generated by 8. A sample of a bar graph generated by 8. A sample of a bar graph generated by 8. A sample of a bar graph generated by participants participants participants participants

from the fish visual census data.from the fish visual census data.from the fish visual census data.from the fish visual census data.


compute the density of fishes per size range per transect for


class for all the transects for each ‘species’ and make a bar

participants participants participants participants

(C) Fish Catch Enumeration

weights of the fishes caught and compute

(D) Seagrass Beds

bottom profile (Fig.

(E) Mangrove Forests

seedlings, saplings and trees.

After they were oriented on how to do their analysis, they were groups and were guided by

the trainer who was assigned to them during the field survey. Materials used t

illustrations were simple, using just calibrated empty pie charts and bar graphs which they

colored using crayons. This method hopefully made the participants understand that the lack

of technology (i.e. computers) should not be deterrence f

Figure Figure Figure Figure 1.1.1.1.9. A sample of a seagrass bed profile generated by the participants.9. A sample of a seagrass bed profile generated by the participants.9. A sample of a seagrass bed profile generated by the participants.9. A sample of a seagrass bed profile generated by the participants.


(C) Fish Catch Enumeration – determine the catch composition, average sizes and

weights of the fishes caught and compute for the catch per unit effort.

(D) Seagrass Beds – determine species composition and average percent cover;

bottom profile (Fig. 1.9).

(E) Mangrove Forests – determine species composition, average CBH, density of

seedlings, saplings and trees.


the trainer who was assigned to them during the field survey. Materials used t



of technology (i.e. computers) should not be deterrence for data analysis.

9. A sample of a seagrass bed profile generated by the participants.9. A sample of a seagrass bed profile generated by the participants.9. A sample of a seagrass bed profile generated by the participants.9. A sample of a seagrass bed profile generated by the participants.


determine the catch composition, average sizes and

for the catch per unit effort.

determine species composition and average percent cover;

determine species composition, average CBH, density of


the trainer who was assigned to them during the field survey. Materials used to generate the



9. A sample of a seagrass bed profile generated by the participants.9. A sample of a seagrass bed profile generated by the participants.9. A sample of a seagrass bed profile generated by the participants.9. A sample of a seagrass bed profile generated by the participants.

The diagrams made by the participants were then photographed and inserted into a pre

prepared power point presentation that contained previously generated PCRA habitat maps.

A sample of a presentation is shown in Appendix 3.

present their results (Fig. 1.10).

After each presentation, feedback from the trainers on the general status of the habitats

assessed and its implications to marine resource management and conservation were discussed.

During this portion, the importance of habitat monitoring and its role in government planning

was highlighted. Also, the desire of the project for the continued su

the local community and the local government units was emphasized.

Figure Figure Figure Figure 1.1.1.1.10. Presentation of data by participants.10. Presentation of data by participants.10. Presentation of data by participants.10. Presentation of data by participants.


The diagrams made by the participants were then photographed and inserted into a pre


A sample of a presentation is shown in Appendix 3. Each barangay team was requested to

10).




was highlighted. Also, the desire of the project for the continued support and participation of

the local community and the local government units was emphasized.

10. Presentation of data by participants.10. Presentation of data by participants.10. Presentation of data by participants.10. Presentation of data by participants.


The diagrams made by the participants were then photographed and inserted into a pre-


Each barangay team was requested to




pport and participation of

Overview of the Marine Ecosystems of Camiguin ProvinceOverview of the Marine Ecosystems of Camiguin ProvinceOverview of the Marine Ecosystems of Camiguin ProvinceOverview of the Marine Ecosystems of Camiguin Province

Five distinct marine habitats were observed

reefs, seagrass beds, mangrove forests, rocky communities and sandy communities.

Areas with distinct and extensive coral reefs

limited to only some barangays at Mahinog (Tupsan Pequeño to Hubagon),

(Sunken Cemetery) and Mambajao (Tupsan Grande to Magting)

generally coral patches interspersed with sand.

were generally rocky (composed of terrestrial boulders and stones) with smal

(often small submassive to massive types) struggling to grow on top of the

The more fragile corals (example the tabular acroporids)(commonly called ‘payong

are not common and if seen are often uprooted, up

indicators are good indicators that an area is often exposed to strong wave action.

beaches of Catarman and Sagay also show the extent of wave action they experience

indicated by areas have steep-

colonies litter the beaches where they have been tossed by the waves.

Mambajao is generally sandy with either the green algae,

brown algae, Sargassum and/or

These results are not surprising as Camiguin Island is

base required for the establishment of a

extensive reef areas requires a stable substrate and the often sandy and/or rock base coupled

with exposure to wave action brought about by monsoons and storms is not favorable to

extensive reef formation.

The absence of extensive reefs in some areas should not detract LGUs from recognizing their

intrinsic importance in the local economy. Sandy beaches are the main attraction for bathers

and picnickers, of which a good proportion of local tourists belong.

front properties with sandy shorelines are highly sought by resorts and hotel owners.


GENERAL RESULTSGENERAL RESULTSGENERAL RESULTSGENERAL RESULTS

Overview of the Marine Ecosystems of Camiguin ProvinceOverview of the Marine Ecosystems of Camiguin ProvinceOverview of the Marine Ecosystems of Camiguin ProvinceOverview of the Marine Ecosystems of Camiguin Province

Five distinct marine habitats were observed within the mainlandwithin the mainlandwithin the mainlandwithin the mainland of Camiguin Province:


Areas with distinct and extensive coral reefs were commonly seen at Guinsiliban and yet were

limited to only some barangays at Mahinog (Tupsan Pequeño to Hubagon),

(Sunken Cemetery) and Mambajao (Tupsan Grande to Magting)(Table 1.

generally coral patches interspersed with sand. The marine habitats of Catarman and Sagay

were generally rocky (composed of terrestrial boulders and stones) with smal

(often small submassive to massive types) struggling to grow on top of the

The more fragile corals (example the tabular acroporids)(commonly called ‘payong

are not common and if seen are often uprooted, up-ended, fragmented or dead.

indicators are good indicators that an area is often exposed to strong wave action.

beaches of Catarman and Sagay also show the extent of wave action they experience

-angled, pebbled beaches. In some areas, remnants of small coral

colonies litter the beaches where they have been tossed by the waves. The marine habitat of

Mambajao is generally sandy with either the green algae, Enteromorpha (‘lumot’), or the

and/or Turbinaria, growing on rocks or stones scattered in the sand.

These results are not surprising as Camiguin Island is of volcanic origin and thus the limestone

required for the establishment of a large, continuous reef is absent. The establishment of



xtensive reefs in some areas should not detract LGUs from recognizing their


and picnickers, of which a good proportion of local tourists belong. Apart from this, b



Camiguin Province: Coral


were commonly seen at Guinsiliban and yet were

limited to only some barangays at Mahinog (Tupsan Pequeño to Hubagon), Catarman

1.1). Reefs were

The marine habitats of Catarman and Sagay

were generally rocky (composed of terrestrial boulders and stones) with small coral growths

(often small submassive to massive types) struggling to grow on top of the larger boulders.

The more fragile corals (example the tabular acroporids)(commonly called ‘payong-payong’)

fragmented or dead. These are

indicators are good indicators that an area is often exposed to strong wave action. The

beaches of Catarman and Sagay also show the extent of wave action they experience as

. In some areas, remnants of small coral

The marine habitat of

(‘lumot’), or the

growing on rocks or stones scattered in the sand.

and thus the limestone

is absent. The establishment of



xtensive reefs in some areas should not detract LGUs from recognizing their


Apart from this, beach


Furthermore, they are also important to local fishers and tourist boat operators as docking

sites. Thus LGUs should incorporate these areas into their CRM plans sinc

major source of resource conflict.

Table Table Table Table 1.1.1.1.1. PRA results of mean live coralcover (in percent), their classification (C) based on 1. PRA results of mean live coralcover (in percent), their classification (C) based on 1. PRA results of mean live coralcover (in percent), their classification (C) based on 1. PRA results of mean live coralcover (in percent), their classification (C) based on

Gomez et al (1991) for all the barangays (brgy) of the five municipalities of Camiguin Gomez et al (1991) for all the barangays (brgy) of the five municipalities of Camiguin Gomez et al (1991) for all the barangays (brgy) of the five municipalities of Camiguin Gomez et al (1991) for all the barangays (brgy) of the five municipalities of Camiguin

Province. Legend: NAProvince. Legend: NAProvince. Legend: NAProvince. Legend: NA = not applicable.= not applicable.= not applicable.= not applicable.

SAGAYSAGAYSAGAYSAGAY CATARMANCATARMANCATARMANCATARMAN

BrgyBrgyBrgyBrgy CCCC Live Live Live Live

CoralCoralCoralCoral BrgyBrgyBrgyBrgy CCCC

Bugang F 34.7 Bonbon F

Mayana F 46.7 Catibac F

Poblacion F 29.3 Lawigan F

Bonbon F 32.4 Panghia-

wan F

Alangilan P 14.9 Compol P

Manuyog F 38.7 Poblacion F

Balite F 34.6 Alga P

Tangaro F

Extensive seagrass beds were present at Mahinog (Benoni

South Poblacion). At Benoni-San Miguel, the bed extends 500m from the shore with a pure

Enhalus acoroides bed at the first 300 m followed by a mixed bed of

Halodule pinifolia, Cymodocea rotundata, Thalassia hemprichii and Enhalus acoroides

Guinsiliban, the beds were primarily

found at South Poblacion. Apart from

species were recorded: Cymodocea rotundata

Large mangrove forests were

(Cantaan). These sites have portions with primary forests that are composed of large, old

trees. It is imperative that existing primary forests be conserved since this

distribution at Camiguin.


important to local fishers and tourist boat operators as docking

sites. Thus LGUs should incorporate these areas into their CRM plans since these can be a

major source of resource conflict.

1. PRA results of mean live coralcover (in percent), their classification (C) based on 1. PRA results of mean live coralcover (in percent), their classification (C) based on 1. PRA results of mean live coralcover (in percent), their classification (C) based on 1. PRA results of mean live coralcover (in percent), their classification (C) based on


= not applicable.= not applicable.= not applicable.= not applicable.

CATARMANCATARMANCATARMANCATARMAN MAHINOGMAHINOGMAHINOGMAHINOG MAMBAJAOMAMBAJAOMAMBAJAOMAMBAJAO

Live Live Live Live


Live Live Live Live


Live Live Live Live

CoralCoralCoralCoral

41.3 Tupsan Pequeño

F 33.3 Naasag P 6.7

40.0 Catohugan F 43.3 Yumbing P 8.0

33.3 Hubangon F 33.3 Agoho NA 0

28.0 San Jose P 10.0 Bug-ong NA 0

22.7 Binaliwan P 11.7 Kuguita P 6.7

36.0 Poblacion P 6.7 Baylao P 24.0

24.0 San Roque P 13.3 Poblacion F 25.3

33.3 Benoni P 10.0 Balbagon P 21.3

San

Miguel P 15.0 Anito P 20.0

Magting F 34.7

Tupsan

Grande F 30.3

Extensive seagrass beds were present at Mahinog (Benoni-San Miguel) and Guinsiliban (North

San Miguel, the bed extends 500m from the shore with a pure

at the first 300 m followed by a mixed bed of Halophila ovalis,

Halodule pinifolia, Cymodocea rotundata, Thalassia hemprichii and Enhalus acoroides

primarily Thalassia-Enhalus beds, the most extensive of which was

found at South Poblacion. Apart from Thalassia hemprichii and Enhalus acoroides

Cymodocea rotundata, Halodule pinifolia and Halophila ov

angrove forests were found at Mahinog (Benoni-San Miguel) and Guinsiliban

These sites have portions with primary forests that are composed of large, old

trees. It is imperative that existing primary forests be conserved since this ecosystem has limited


important to local fishers and tourist boat operators as docking

e these can be a

1. PRA results of mean live coralcover (in percent), their classification (C) based on 1. PRA results of mean live coralcover (in percent), their classification (C) based on 1. PRA results of mean live coralcover (in percent), their classification (C) based on 1. PRA results of mean live coralcover (in percent), their classification (C) based on


GUINSILIBANGUINSILIBANGUINSILIBANGUINSILIBAN

BrgyBrgyBrgyBrgy CCCC

Live Live Live Live

CoralCoralCoralCoral

Maac P 1.3

Cabuan P 17.3

Cantaan G 52.0

North

Pob F 28.0

South

Pob F 28.0

Liong F 42.7

Guinsiliban (North-

San Miguel, the bed extends 500m from the shore with a pure

Halophila ovalis,

Halodule pinifolia, Cymodocea rotundata, Thalassia hemprichii and Enhalus acoroides. At

beds, the most extensive of which was

Enhalus acoroides, three other

Halophila ovalis.

San Miguel) and Guinsiliban

These sites have portions with primary forests that are composed of large, old

ecosystem has limited

CompositionCompositionCompositionComposition, , , , Density Density Density Density and Size Classes and Size Classes and Size Classes and Size Classes

The PRA survey made the participants realize three general trends of the fish

within the surveyed reefs:

(A) Fish diversity (total number of kinds of fishes) was low for several sites, particularly

at Sagay with target having higher representation (Fig.

(B) The fishes within the surveyed sites were mainly composed of non

(Fig. 1.12), and

(C) Fishes within the sites were generally small, belonging to the 1

1.13).

The results of the fish visual census are discussed in detail

municipality.


and Size Classes and Size Classes and Size Classes and Size Classes of of of of Fishes at Fishes at Fishes at Fishes at PRA Sites PRA Sites PRA Sites PRA Sites

The PRA survey made the participants realize three general trends of the fish

Fish diversity (total number of kinds of fishes) was low for several sites, particularly

at Sagay with target having higher representation (Fig. 1.11),

The fishes within the surveyed sites were mainly composed of non

within the sites were generally small, belonging to the 1-10 cm size rage (Fig.

The results of the fish visual census are discussed in detail in the sections devoted to each


The PRA survey made the participants realize three general trends of the fish population

Fish diversity (total number of kinds of fishes) was low for several sites, particularly

The fishes within the surveyed sites were mainly composed of non-target species

10 cm size rage (Fig.

in the sections devoted to each

Figure Figure Figure Figure 1.1.1.1.11. Number of fish ‘species’ (based on local names) recorded at the different PRA 11. Number of fish ‘species’ (based on local names) recorded at the different PRA 11. Number of fish ‘species’ (based on local names) recorded at the different PRA 11. Number of fish ‘species’ (based on local names) recorded at the different PRA

sites of the five municipalities of Camiguin Provice. sites of the five municipalities of Camiguin Provice. sites of the five municipalities of Camiguin Provice. sites of the five municipalities of Camiguin Provice.

easy comparison among sites.easy comparison among sites.easy comparison among sites.easy comparison among sites.

0

4

8

12

16

20

24

28

32

TupPeqTupPeqTupPeqTupPeq CatCatCatCat HubHubHubHub SJSJS JS J BinBinBinBin PobPobPobPob

Num

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'

MAHINOGMAHINOGMAHINOGMAHINOG


0

4

8

12

16

20

24

28

32

MaacMaacMaacMaac CabuanCabuanCabuanCabuan CantaanCantaanCantaanCantaan N PobN PobN PobN Pob

Num

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'

0

4

8

12

16

20

24

28

32

BugangBugangBugangBugang MayanaMayanaMayanaMayana PobPobPobPob BonbonBonbonBonbonBonbon AlaAlaAlaAla

Num

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'

SAGAYSAGAYSAGAYSAGAY


11. Number of fish ‘species’ (based on local names) recorded at the different PRA 11. Number of fish ‘species’ (based on local names) recorded at the different PRA 11. Number of fish ‘species’ (based on local names) recorded at the different PRA 11. Number of fish ‘species’ (based on local names) recorded at the different PRA

sites of the five municipalities of Camiguin Provice. sites of the five municipalities of Camiguin Provice. sites of the five municipalities of Camiguin Provice. sites of the five municipalities of Camiguin Provice. The YThe YThe YThe Y----scale was standardized for scale was standardized for scale was standardized for scale was standardized for

easy comparison among sites.easy comparison among sites.easy comparison among sites.easy comparison among sites.

0

4

8

12

16

20

24

28

32

BonbonBonbonBonbonBonbon CatCatCatCat LawLawLawLaw PangPangPangPang ComComComCom

Num

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'

CATARMANCATARMANCATARMANCATARMAN

SRSRSRSR BenBenBenBen SMSMSMSM


0

4

8

12

16

20

24

28

32

NaaNaaNaaNaa YumYumYumYum AgoAgoAgoAgo BugBugBugBug KugKugKugKug BayBayBayBay PobPobPobPob

Num

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'N

um

ber

of 'S

pecie

s'

MAMBAJAOMAMBAJAOMAMBAJAOMAMBAJAO


S PobS PobS PobS Pob LiongLiongLiongLiong

AlaAlaAlaAla ManuyogManuyogManuyogManuyog Bal i teBal i teBal i teBal i te


Indicator Species

Target Species (Reef)

Non-Target Species

Unclassified

Target Species (Pelagic)

Legend


11. Number of fish ‘species’ (based on local names) recorded at the different PRA 11. Number of fish ‘species’ (based on local names) recorded at the different PRA 11. Number of fish ‘species’ (based on local names) recorded at the different PRA 11. Number of fish ‘species’ (based on local names) recorded at the different PRA

scale was standardized for scale was standardized for scale was standardized for scale was standardized for

ComComComCom PobPobPobPob AlgaAlgaAlgaAlga TangTangTangTang


PobPobPobPob BalBalBalBal AniAniAniAni MagMagMagMag TupGTupGTupGTupG


(Reef)

Target Species

(Pelagic)

0

100

200

300

400

500

600

BugangBugangBugangBugang MayanaMayanaMayanaMayana PobPobPobPob BonbonBonbonBonbonBonbon

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)


MAHINMAHINMAHINMAHIN

0

100

200

300

400

500

600

Tup Peq Cat Hub SJ Bin

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)


0

100

200

300

400

500

600

Maac Cabuan Cantaan N Pob

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Figure Figure Figure Figure 1.1.1.1.12. Mean fish density (number of individuals/500 m12. Mean fish density (number of individuals/500 m12. Mean fish density (number of individuals/500 m12. Mean fish density (number of individuals/500 m

PRA sites of the five municipalities of Camiguin Provice. The YPRA sites of the five municipalities of Camiguin Provice. The YPRA sites of the five municipalities of Camiguin Provice. The YPRA sites of the five municipalities of Camiguin Provice. The Y

standardized for easy comparison among sites.standardized for easy comparison among sites.standardized for easy comparison among sites.standardized for easy comparison among sites.


AlaAlaAlaAla ManuyogManuyogManuyogManuyog Bal i teBal i teBal i teBal i te


0

100

200

300

400

500

600

BonbonBonbonBonbonBonbon CatCatCatCat LawLawLawLaw PangPangPangPang ComComComCom

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2) CATARMANCATARMANCATARMANCATARMAN

MAHINMAHINMAHINMAHINOGOGOGOG

Pob SR Ben SM

0

100

200

300

400

500

600

Naa Yum Ago Bug Kug Bay

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)

Mean D

ensi

ty (

Ind/5

00 m

2)



N Pob S Pob Liong

12. Mean fish density (number of individuals/500 m12. Mean fish density (number of individuals/500 m12. Mean fish density (number of individuals/500 m12. Mean fish density (number of individuals/500 m2222) recorded at the different ) recorded at the different ) recorded at the different ) recorded at the different

PRA sites of the five municipalities of Camiguin Provice. The YPRA sites of the five municipalities of Camiguin Provice. The YPRA sites of the five municipalities of Camiguin Provice. The YPRA sites of the five municipalities of Camiguin Provice. The Y

standardized for easy comparison among sites.standardized for easy comparison among sites.standardized for easy comparison among sites.standardized for easy comparison among sites.

Indicator Species

Target Species (Reef)

Non-Target Species

Unclassified

Target Species (Pelagic)

Legend


ComComComCom PobPobPobPob AlgaAlgaAlgaAlga TangTangTangTang


Pob Bal Ani Mag TupG


) recorded at the different ) recorded at the different ) recorded at the different ) recorded at the different

PRA sites of the five municipalities of Camiguin Provice. The YPRA sites of the five municipalities of Camiguin Provice. The YPRA sites of the five municipalities of Camiguin Provice. The YPRA sites of the five municipalities of Camiguin Provice. The Y----scale was scale was scale was scale was

Indicator Species

(Reef)

Target Species

(Pelagic)

0

100

200

300

400

500

600

BugoBugoBugoBugo MayMayMayMay PobPobPobPob BonBonBonBon AlaAlaAlaAla

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)


0

100

200

300

400

500

600

TGTGTGTG CatCatCatCat HubHubHubHub SJSJSJSJ BinBinBinBin PobPobPobPob

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)



0

100

200

300

400

500

600

MaaMaaMaaMaa CabCabCabCab CanCanCanCan NPNPNPNP

Mean F

ish D

ensity

(N

um

ber/

500 m

2)

Mean F

ish D

ensity

(N

um

ber/

500 m

2)

Mean F

ish D

ensity

(N

um

ber/

500 m

2)

Mean F

ish D

ensity

(N

um

ber/

500 m

2)

Figure Figure Figure Figure 1.1.1.1.13. Size composition of fishes recorded at 13. Size composition of fishes recorded at 13. Size composition of fishes recorded at 13. Size composition of fishes recorded at

municipalities of Camiguin Provice. The Ymunicipalities of Camiguin Provice. The Ymunicipalities of Camiguin Provice. The Ymunicipalities of Camiguin Provice. The Y

comparison among sites.comparison among sites.comparison among sites.comparison among sites.


AlaAlaAlaAla ManManManMan BalBalBalBal


0

100

200

300

400

500

600

BonBonBonBon CatCatCatCat LawLawLawLaw PanPanPanPan ComComComCom

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)


PobPobPobPob SRSRSRSR BenBenBenBen SMSMSMSM


0

100

200

300

400

500

600

NaaNaaNaaNaa YumYumYumYum AgoAgoAgoAgo BugoBugoBugoBugo KugKugKugKug BayBayBayBay

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)

Mean F

ish D

ensi

ty (

Num

ber/

500 m

2)


SPSPSPSP LioLioLioLio

13. Size composition of fishes recorded at 13. Size composition of fishes recorded at 13. Size composition of fishes recorded at 13. Size composition of fishes recorded at the different PRA sites of the five the different PRA sites of the five the different PRA sites of the five the different PRA sites of the five

municipalities of Camiguin Provice. The Ymunicipalities of Camiguin Provice. The Ymunicipalities of Camiguin Provice. The Ymunicipalities of Camiguin Provice. The Y----scale was standardized for easy scale was standardized for easy scale was standardized for easy scale was standardized for easy

comparison among sites.comparison among sites.comparison among sites.comparison among sites.

1-10 cm

11-20 cm

> 31 cm

21-30 cm

Legend


ComComComCom PobPobPobPob AldAldAldAld TanTanTanTan


PobPobPobPob BalBalBalBal AniAniAniAni MagMagMagMag TGTGTGTG


the different PRA sites of the five the different PRA sites of the five the different PRA sites of the five the different PRA sites of the five

scale was standardized for easy scale was standardized for easy scale was standardized for easy scale was standardized for easy

GENERAL GENERAL GENERAL GENERAL

• Although some barangays were poorly represented during the PRA exercise, some

participants willingly ‘adopted’ those barangays without representation and conducted the

field survey. Although this cooperative effort was commendable, the

was not achieved in these barangays

Poor attendance was traced through the delayed communications from the municipal to

barangay level and the misconceptionmisconceptionmisconceptionmisconception

the PRA. Another was th

needed per barangay.

The Municipalities of Sagay and Catarman are commended for their sustained interest in

the PRA despite unforeseen interruptions brought about by two storms

Guinsiliban for the high performance rating they obtained from the trainers/facilitators

Since one of the objectives of the CCRMP is to integrate an annual PRA activity, there is a

need for active involvement of all barangays. Those barangays who have wi

participants yet do not have extensive, distinct reefs can still be encouraged to participate

in annual PRAs. However, one of the

Designated municipal CRM officers are encouraged to start a ‘fish album’

standardize fish identification. The fish album should contain photographs of the common

fishes encountered at reefs at Camiguin, their common names and their verified scientific

names.

• Sandy beaches of Mambajao

incorporated in the Municipal’s CRM plan since it may be a source of resource conflict

between fisherfolks and local hotel/resort owners. Probable restricted entrance and

utilization of sandy beaches to local residents and fisherfolks has to be addressed by the

LGU.


GENERAL GENERAL GENERAL GENERAL RECOMMENDATIONSRECOMMENDATIONSRECOMMENDATIONSRECOMMENDATIONS

Although some barangays were poorly represented during the PRA exercise, some


Although this cooperative effort was commendable, the objective of the PRA

was not achieved in these barangays.


misconceptionmisconceptionmisconceptionmisconception that ‘contra-partido’ barangays were not included in

the PRA. Another was the confusion regarding the number of participants that were


the PRA despite unforeseen interruptions brought about by two storms. The

Guinsiliban for the high performance rating they obtained from the trainers/facilitators


need for active involvement of all barangays. Those barangays who have wi


in annual PRAs. However, one of the limitations of the PRA is fish identification.

Designated municipal CRM officers are encouraged to start a ‘fish album’



beaches of Mambajao – The utilization of these marine communities must be



n of sandy beaches to local residents and fisherfolks has to be addressed by the


Although some barangays were poorly represented during the PRA exercise, some


objective of the PRA


partido’ barangays were not included in

e confusion regarding the number of participants that were


. The participants of

Guinsiliban for the high performance rating they obtained from the trainers/facilitators.


need for active involvement of all barangays. Those barangays who have willing


limitations of the PRA is fish identification.

Designated municipal CRM officers are encouraged to start a ‘fish album’ which would



The utilization of these marine communities must be



n of sandy beaches to local residents and fisherfolks has to be addressed by the

• Mahinog Lagoon - The mangroves of Mahinog are suspected remnants of primary forests

thus are ‘old’ trees (as attested by their girth (circumference). Most of these trees

around the ‘lagoon’, a formerly embayed area where a coastal road was constructed and

where tidal flushing was reduced to culverts at the center of the ‘lagoon’.

As shown by Paderanga♣

entry rate due to the deep area of the lagoon immediately near the culvert opening and

the culvert itself. The culvert opening is too narrow to allow more tidal water exchange

and its level too high (0.729 m above lowest low tide level)(which may have been

designed to maintain water within the lagoon during the lowest low tide). The low water

flushing will ultimately affect the health of the large mangrove trees, causing them to

slowly deteriorate.

Apart from this, the low water exchange within the lagoon will

gradually shallowing of the lagoon and the deterioration of its water quality (increased

water turbidity, decreased DO,

contamination and others). E

of the lagoon is highly commended, however, monitoring of the lagoon’s water quality

should be initiated and maintained. The number of culverts or openings to the lagoon

should be increased to allow more water exchange d

• Cantaan White Beach and Mangrove forest

Camiguin mainlandmainlandmainlandmainland that has an extensive white sandy beach

mangrove forest. The presence of the white sand beach

in the area and the favorable conditions that is has for reef development

seen at other sites). At present, the site is presently protected and its continued protection

is strongly recommended not only for

reseeding sites for giant clams.

involvement of the youth in conservation programs. Its mangrove forests and the ‘giant

clam garden’ should be develop

♣ Apugan, RS, WB Badoy and ORT Paderanga. 2006. Water Renewal Time of Taguines Lagoon, Camiguin Island, Philippines.

Jour. of Aquatic Sci. 3:83-90


The mangroves of Mahinog are suspected remnants of primary forests

thus are ‘old’ trees (as attested by their girth (circumference). Most of these trees


where tidal flushing was reduced to culverts at the center of the ‘lagoon’.

(undated), water entering the lagoon tended to stay near the

y rate due to the deep area of the lagoon immediately near the culvert opening and



igned to maintain water within the lagoon during the lowest low tide). The low water


Apart from this, the low water exchange within the lagoon will probably cause the


water turbidity, decreased DO, higher organic matter content, increased bacterial coliform

contamination and others). Efforts to limit the cages and habitation within the

is highly commended, however, monitoring of the lagoon’s water quality


should be increased to allow more water exchange during the normal tidal cycles.

and Mangrove forest – This is the only area within the entire

has an extensive white sandy beach and has the largest existing

The presence of the white sand beach underlines the extensive coral reef

in the area and the favorable conditions that is has for reef development

. At present, the site is presently protected and its continued protection

is strongly recommended not only for its reefs but also as one of the very few successful

reseeding sites for giant clams. The site is also presently a platform for the active


clam garden’ should be developed into a cohesive good eco-tourism program.

Apugan, RS, WB Badoy and ORT Paderanga. 2006. Water Renewal Time of Taguines Lagoon, Camiguin Island, Philippines.


The mangroves of Mahinog are suspected remnants of primary forests

thus are ‘old’ trees (as attested by their girth (circumference). Most of these trees are


(undated), water entering the lagoon tended to stay near the

y rate due to the deep area of the lagoon immediately near the culvert opening and



igned to maintain water within the lagoon during the lowest low tide). The low water


probably cause the


bacterial coliform

within the perimeters

is highly commended, however, monitoring of the lagoon’s water quality


uring the normal tidal cycles.

This is the only area within the entire

and has the largest existing

underlines the extensive coral reef

in the area and the favorable conditions that is has for reef development (which is not

. At present, the site is presently protected and its continued protection

its reefs but also as one of the very few successful

The site is also presently a platform for the active


tourism program.

Apugan, RS, WB Badoy and ORT Paderanga. 2006. Water Renewal Time of Taguines Lagoon, Camiguin Island, Philippines.

• If more MPAs were to be established within the province, the possibility of ‘sharing’ MPA

sites between neighboring barangays be considered. Each barangay would propose

adjoining sites as MPAs so as to not onl

but also increase the area of the MPA.

• Fish catch data was intentionally not analyzed in this report due to the small sampling

size. Data collection initiated by the project should be maintained by the LGUs

obtain a clear picture of the state of the fisheries of the Province. It is recommended that

CCRMP identifies major fish landing sites and examines other government agencies

collecting fish catch data.


If more MPAs were to be established within the province, the possibility of ‘sharing’ MPA


adjoining sites as MPAs so as to not only share the cost of protection and maintenance

but also increase the area of the MPA.

Fish catch data was intentionally not analyzed in this report due to the small sampling

size. Data collection initiated by the project should be maintained by the LGUs




If more MPAs were to be established within the province, the possibility of ‘sharing’ MPA


y share the cost of protection and maintenance

Fish catch data was intentionally not analyzed in this report due to the small sampling

size. Data collection initiated by the project should be maintained by the LGUs so as to



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