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of the Verde Island Passage, Philippines - weADAPT

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climate change vulnerability assessment <strong>of</strong> <strong>the</strong> verde island passage, philippines<br />

0.60% to 0.80% diversity loss while <strong>the</strong> rest <strong>of</strong> <strong>the</strong><br />

municipalities surveyed have relatively lower estimates<br />

<strong>of</strong> 0.60% to 0.70% diversity loss.<br />

Reef fish diversity<br />

Recent studies <strong>of</strong> Wilkinson (2000a and 2000b) have<br />

shown that climate-induced coral bleaching has had<br />

major effects on <strong>the</strong> biological and physical structure<br />

<strong>of</strong> coral reef habitats. Numerous studies (e.g., Shibuno<br />

et al. 1999, McClanahan et al. 2002a, Munday 2004a,<br />

Sano 2004, Graham et al. 2006, Pratchett et al. 2006)<br />

have documented consequent changes in <strong>the</strong> species<br />

composition and abundance <strong>of</strong> associated reef fish<br />

assemblages. Changes in <strong>the</strong> topographic complexity<br />

and loss <strong>of</strong> coral cover affect reef fishes by reducing<br />

viable coral growths that provide shelter and protection<br />

and food source which ultimately affect settlement,<br />

recruitment and overall biological diversity.<br />

The municipality <strong>of</strong> Mabini had <strong>the</strong> highest number <strong>of</strong><br />

reef fishes observed within <strong>the</strong> belt transects with 151<br />

species (Table 18). Mabini is closely followed by <strong>the</strong><br />

municipalities <strong>of</strong> Lubang, Tingloy and Batangas City<br />

with 147, 142, and 139 species, respectively. The<br />

municipalities <strong>of</strong> Looc and Nasugbu, despite having<br />

higher percentages <strong>of</strong> live hard coral cover, only<br />

harbored 87 and 44 reef fish species, respectively.<br />

San Juan and Calatagan fell in <strong>the</strong> middle with 100<br />

and 113 species. Lubang municipality had <strong>the</strong> highest<br />

estimated reef fish abundance with more than 2,000<br />

reef fish individuals, whereas <strong>the</strong> municipality <strong>of</strong><br />

Nasugbu had <strong>the</strong> lowest reef fish abundance with only<br />

171 individuals. The municipality <strong>of</strong> Looc despite having<br />

less than a hundred reef fish species still had more<br />

than 1000 reef fish individuals. Mabini municipality on<br />

<strong>the</strong> o<strong>the</strong>r hand, only had more than 1,200 individuals<br />

despite having <strong>the</strong> highest species richness. The<br />

remaining municipalities, Batangas City, Calatagan, San<br />

Juan, and Tingloy had reef fish abundances <strong>of</strong> more<br />

than 1,400 individuals. The Fish Visual Census (FVC)<br />

method was used to assess <strong>the</strong> reef fish assemblages.<br />

Reef fish species richness was accounted by pooling<br />

all <strong>the</strong> observed species in <strong>the</strong> belt transects during <strong>the</strong><br />

surveys. Fish abundance was estimated by pooling total<br />

fish abundance (number <strong>of</strong> individuals/1000m 2 ) per<br />

survey site and getting <strong>the</strong>ir means.<br />

Effects on <strong>the</strong> reef fish abundance and diversity were<br />

determined by calculating <strong>the</strong> percentage losses<br />

<strong>of</strong> vulnerable species that Pratchett et al. (2008)<br />

identified. Table 17 presents <strong>the</strong> vulnerable reef fish<br />

species adapted from Pratchett et al. (2008) found in<br />

<strong>the</strong> <strong>Verde</strong> <strong>Island</strong> <strong>Passage</strong>.<br />

Losses in reef fish abundances were estimated by<br />

deducting <strong>the</strong> abundances <strong>of</strong> <strong>the</strong> vulnerable species<br />

from <strong>the</strong> total reef fish abundance per municipality.<br />

Similarly, reef fish diversity loss per municipality was<br />

computed by subtracting <strong>the</strong> total number <strong>of</strong> vulnerable<br />

species to <strong>the</strong> total number <strong>of</strong> species present in each<br />

municipality.<br />

A total <strong>of</strong> 16 species <strong>of</strong> reef fishes listed in Pratchett<br />

et al. (2008) was observed in <strong>the</strong> VIP. Percentage loss<br />

<strong>of</strong> reef fish species ranged from 9% to 14% (Table<br />

18). The municipality <strong>of</strong> Nasugbu was deemed to have<br />

<strong>the</strong> highest vulnerability as it could lose 16% <strong>of</strong> <strong>the</strong><br />

44 observed fish species, followed by Looc, Caltagan,<br />

and San Juan with estimated losses <strong>of</strong> 14%, 12%, and<br />

10% respectively. The municipalities <strong>of</strong> Batangas City,<br />

Lubang, Mabini, and Tingloy had <strong>the</strong> lowest estimated<br />

loss <strong>of</strong> 9%. The total number <strong>of</strong> species observed, only<br />

included reef fish species observed during <strong>the</strong> transect<br />

surveys.<br />

The estimated percentage losses <strong>of</strong> reef fish diversity<br />

and abundance is relatively high. However, <strong>the</strong>se<br />

estimates are still considered to be conservative as<br />

<strong>the</strong> compounded impacts <strong>of</strong> <strong>the</strong> o<strong>the</strong>r climate change<br />

impacts and human activities are still not accounted<br />

for. Although <strong>the</strong> effects <strong>of</strong> loss <strong>of</strong> coral cover can be<br />

minimal and limited to highly-dependent fishes (e.g.,<br />

corallivores), changes in topographic complexity can<br />

Table 17. Reef fish species observed in <strong>the</strong> <strong>Verde</strong> <strong>Island</strong> <strong>Passage</strong> that<br />

are affected by coral bleaching due to <strong>the</strong>ir association and dependence<br />

on coral communities.<br />

Family Species Habits<br />

Acanthuridae<br />

Chaetodontidae<br />

Chaetodontidae<br />

Chaetodontidae<br />

Chaetodontidae<br />

Labridae<br />

Labridae<br />

Labridae<br />

Pomacentridae<br />

Pomacentridae<br />

Pomacentridae<br />

Pomacentridae<br />

Pomacentridae<br />

Pomacentridae<br />

Pomacentridae<br />

Siganidae<br />

Source: adapted from Pratchett et al. 2008.<br />

Batangas City<br />

Calatagan<br />

Looc<br />

Lubang<br />

Mabini<br />

Nasugbu<br />

San Juan<br />

Tingloy<br />

Ctenochaetus striatus<br />

Chaetodon baronessa<br />

Chaetodon lunulatus<br />

Chaetodon melannotus<br />

Chaetodon trifascialis<br />

Gomphosus varius<br />

Halichoeres melanurus<br />

Labrichthys unilineatus<br />

Amblyglyphidodon curacao<br />

Chrysiptera rollandi<br />

Neoglyphidodon melas<br />

Plectroglyphidodon lacrymatus<br />

Pomacentrus lepidogenys<br />

Pomacentrus moluccensis<br />

Pomacentrus vaiuli<br />

Siganus spinus<br />

herbivores<br />

corallivore<br />

corallivore<br />

corallivore<br />

corallivore<br />

benthic carnivore<br />

o<strong>the</strong>rs<br />

corallivore<br />

omnivores<br />

o<strong>the</strong>rs<br />

corallivore<br />

herbivores<br />

coral dweller<br />

coral dweller<br />

o<strong>the</strong>rs<br />

herbivores<br />

Table 18. Percentage (%) loss <strong>of</strong> associated reef fish species and<br />

abundance in <strong>the</strong> event <strong>of</strong> coral bleaching.<br />

Species richness<br />

Abundance<br />

# species %<br />

Municipality Sites observed lost loss before after loss<br />

4<br />

8<br />

6<br />

6<br />

4<br />

2<br />

8<br />

3<br />

139<br />

113<br />

87<br />

147<br />

151<br />

44<br />

100<br />

142<br />

13<br />

13<br />

12<br />

13<br />

14<br />

7<br />

10<br />

13<br />

9<br />

12<br />

14<br />

9<br />

9<br />

16<br />

10<br />

9<br />

1660<br />

1874<br />

1086<br />

2227<br />

1215<br />

171<br />

1410<br />

1465<br />

1205<br />

1377<br />

830<br />

1658<br />

652<br />

133<br />

1247<br />

672<br />

27<br />

27<br />

24<br />

26<br />

46<br />

22<br />

12<br />

54<br />

34

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