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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 />

Table 49. Natural resources in<br />

foreshore areas.<br />

Location<br />

Calatagan<br />

Puerto Galera<br />

Bauan<br />

Naujan<br />

Nasugbu<br />

Balayan<br />

Resources available<br />

mangroves<br />

beach<br />

mangroves<br />

white sandy beaches<br />

beautiful bay<br />

beaches<br />

mangroves<br />

sandy beach<br />

delta<br />

hot springs<br />

coves<br />

mangroves<br />

beaches<br />

mangroves<br />

beaches<br />

delta<br />

Meanwhile, natural<br />

resources could still be<br />

found in <strong>the</strong>se foreshore<br />

areas. Most <strong>of</strong> <strong>the</strong><br />

participants proudly<br />

claimed <strong>the</strong> existence<br />

<strong>of</strong> mangrove forests<br />

and sandy beaches,<br />

<strong>the</strong> latter being used<br />

<strong>of</strong>ten for local tourism<br />

and recreation. Table<br />

49 contains a summary<br />

<strong>of</strong> natural resources<br />

found in <strong>the</strong>se coastal<br />

municipalities, although<br />

details on area covered<br />

and species present could not be provided at <strong>the</strong><br />

workshop proper.<br />

The tables that detail <strong>the</strong> data to pr<strong>of</strong>ile foreshore<br />

structures and facilities is very preliminary but has<br />

been included in <strong>the</strong> exercise (through inter-agency<br />

workshops) to show that <strong>the</strong> kinds <strong>of</strong> data suggested<br />

are nei<strong>the</strong>r well reported nor monitored, and will<br />

<strong>the</strong>refore require creative ways to generate this<br />

information. Lack <strong>of</strong> management mechanisms limits<br />

<strong>the</strong> ability to assess vulnerability. However, local<br />

government units can be encouraged to carry out interagency<br />

coordination in baselines and monitoring, which<br />

would allow a full vulnerability assessment in <strong>the</strong> future.<br />

Vulnerability assessment <strong>of</strong> human<br />

well-being<br />

Climate change impacts on <strong>the</strong> fisheries<br />

sector in <strong>the</strong> <strong>Verde</strong> <strong>Island</strong> <strong>Passage</strong> and <strong>the</strong><br />

sector’s responses<br />

Climate change disrupts fisherfolk’s livelihood when fish<br />

breeding and spawning seasons and habitats, fish runs<br />

and migration paths are altered. Starting with a pr<strong>of</strong>ile<br />

<strong>of</strong> <strong>the</strong> fisheries sector, a two-step process was used to<br />

estimate <strong>the</strong> vulnerability <strong>of</strong> fishing activities to climate<br />

change.<br />

The first step was to derive a Socio-Economic<br />

Vulnerability Index (SEVI) given a listing <strong>of</strong> parameters:<br />

i) incomes levels; ii) sectoral importance; iii) sociocultural<br />

attachment to activity; iv) diversity <strong>of</strong> livelihood<br />

options; and, v) dependency <strong>of</strong> activity on coastal<br />

habitat.<br />

• Income levels: Incomes are negatively affected<br />

by declining production levels, declining prices,<br />

and increased operational costs. Poverty threshold<br />

levels were used as benchmarks and income<br />

vulnerability was a measure <strong>of</strong> <strong>the</strong> possible<br />

divergence <strong>of</strong> income levels from this threshold.<br />

Annual per capita poverty thresholds estimated<br />

by <strong>the</strong> National Statistical Coordination Board<br />

(NSCB) for Batangas, Occidental Mindoro, and<br />

Oriental Mindoro were P16,615, P12,564, and<br />

P14,330, respectively, with income estimates for<br />

<strong>the</strong> municipal and commercial sectors summarized<br />

in Table 50.<br />

Table 50. Average per capita incomes <strong>of</strong> commercial and municipal<br />

fishers, by province, based on fisheries production value, 2005-2007.<br />

Average income <strong>of</strong> Average income <strong>of</strong><br />

commercial fishers municipal fishers<br />

Province (in thousand PhP) (in thousand PhP)<br />

Batangas<br />

Occidental Mindoro<br />

Oriental Mindoro<br />

43.975<br />

21.651<br />

26.164<br />

12.264<br />

5.683<br />

6.613<br />

• Sectoral importance: relative to <strong>the</strong> contribution<br />

to production, food security, and employment<br />

generation, <strong>the</strong> sector is highly vulnerable when<br />

contribution to ei<strong>the</strong>r <strong>of</strong> <strong>the</strong>se parameters is high.<br />

• Socio-cultural attachment to activity: when<br />

activity is not only economic but social as well;<br />

difficulty in shifting to an alternative is greater.<br />

• Diversity <strong>of</strong> livelihood option: based on<br />

information culled from reports, this measured<br />

<strong>the</strong> extent to which <strong>the</strong> individual (and his/<br />

her household) relied solely on fishing activity.<br />

If alternative livelihood options are meager,<br />

vulnerability is higher.<br />

• Dependency levels on coastal habitats: not<br />

quantitatively measured in this study, but an<br />

opportunity to employ an in-depth analysis exists<br />

given data on species caught; where fishing activity<br />

occurs (in or near coastal habitats); and type <strong>of</strong><br />

gear used.<br />

Each parameter was given a rating <strong>of</strong> Low, Medium,<br />

or High based on <strong>the</strong> best available information, and<br />

converted numerically <strong>the</strong>reafter (1=low; 2=medium,<br />

and 3=high). For example, in <strong>the</strong> case <strong>of</strong> income<br />

vulnerability, <strong>the</strong> rating was HIGH if <strong>the</strong> estimated or<br />

perceived income was lower than <strong>the</strong> poverty threshold.<br />

Any intermediate scores such as Low to Medium or<br />

Medium to High were scored as a half point score,<br />

such that Low to Medium was given a score <strong>of</strong> 1.5, for<br />

example.<br />

A simple average was <strong>the</strong>n computed to derive a<br />

Socio-Economic Vulnerability Index (SEVI). The<br />

summary indices provide a general indication <strong>of</strong><br />

vulnerabilities for <strong>the</strong> entire <strong>Verde</strong> <strong>Island</strong> <strong>Passage</strong> based<br />

on <strong>the</strong> parameters selected (Table 51).<br />

64

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