of the Verde Island Passage, Philippines - weADAPT
of the Verde Island Passage, Philippines - weADAPT
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