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  Journal of Forestry Research  2012, Vol. 23 Issue (2): 185-190  DOI: 10.1007/s11676-011-0218-0
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ORIGINAL PAPER

Citation 

Shahbudin S., Zuhairi A., Kamaruzzaman B.Y. (2012) Impact of coastal development on mangrove cover in Kilim river, Langkawi Island, Malaysia. Journal of Forestry Research, 23(2): 185-190. DOI: 10.1007/s11676-011-0218-0.
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Project funding

The study was funded by Mangrove Cluster Research under Institute of Oceanographic and Maritime Studies (INOCEM), International Islamic University Malaysia

Corresponding editor

Zhu Hong

Article History

Received: 16 February 2011
Accepted: 8 March 2011
Impact of coastal development on mangrove cover in Kilim river, Langkawi Island, Malaysia
S. Shahbudin , A. Zuhairi , B.Y. Kamaruzzaman     
Institute of Oceanography and Maritime Studies (INOCEM), Kulliyyah of Science, International Islamic University Malaysia, Jalan Sultan Ahmad Shah, Bandar Indera Mahkota, 25200, Kuantan, Pahang, Malaysia
Abstract: We examined the impact of various coastal developments on mangrove cover along the Kilim River, Langkawi Island, Malaysia between 1996 and 2008. We analysed images from Systeme Probatoire d'Observation de la Tarre (SPOT) of Kilim River using supervised classification and Principal Component Analysis (PCA). Over 8% (176.83 ha) of mangrove cover was degraded along the Kilim River from its total area of 2153.07 ha during the past 14 years. We identified several causes of mangrove degradation, including mangrove clearing (38%), mangrove conversion to commercial area (21%), residential area (19%), agriculture (12%), aquaculture (12%) and wake current (6%). Langkawi is one of the main tourism islands in Malaysia. Tthe pace of coastal development throughout the entire island including Kilim River had suppressed the mangroves propagation over the years. Long term monitoring of mangrove ecosystems is essentials to ensure the survival and sustainability of mangrove associated biodiversity.
Key words: Kilim River    SPOT imaging    principal component analysis    Langkawi Island    mangrove ecosystem    Malaysia mangrove    

Introduction

Mangroves are a group of highly adapted halophytes occupying the intertidal zone in estuaries, lagoons, and coastal mudflats attropical and subtropical latitudes. Mangroves protect coastal environments from erosion and provide ecological and socioeconomic values to humans and the environment (Alongi 2009). Mangroves create a buffer zone, which mitigates coastal erosion by producing leaf litter and detritus which provides a food source for marine organisms and enhances fisheries (Tse et al. 2008). Mangroves also enhance and sustain the natural biomass of coral reef fish and aquaculture products (Mumby et al. 2004; Naylor et al. 2000). Mangroves enhance water quality by trapping nutrients and heavy metals. Products from mangroves also have commercial value that benefits local people by providing a source of income. Mangroves have long been used as construction materials (pile wood), charcoal, pulp source, firewood, tannin, and traditional medicine products used by villagers. The diversity of flora and fauna associated with mangrove ecosystems provides opportunities for nature education, tourism and scientific studies (Aston et al. 2002). The greatest biodiversity occurs in the mangals of New Guinea, Indonesia, and Malaysia (Saenger 2002; Peter 2007).

Despite its importance, the mangrove ecosystem is threatened with destruction through various forms of human pressure (Farnsworth et al. 1997; FAO 2007). Degradation from coastal development and overexploitation are the major threats to mangroves (Gang et al. 1992; Perez Osuna 2000). Destruction of mangrove forests by human activities has degraded species richness at many locations (Spalding et al. 1997).

Such problems are apparent along the Kilim River, Langkawi Island. Langkawi is one of the main tourist islands in Malaysia and the pace of development has degraded the mangrove ecosystem over a decade. Designation of Langkawi as a Geo-Park by The United Nations Educational, Scientific and Cultural Organization (UNESCO) boosted the tourism industry and led to development on the island, particularly in the coastal zone.

To ensure mangrove survival and sustainable coastal zone development, it is essential to monitor mangrove cover for changes in area over time. Accurate, cost-effective, and comprehensive methods of monitoring mangrove ecosystems have led to development of better mangrove management plans. Remote sensing and Geographic Information System (GIS) technologies are used widely in mangrove monitoring and mapping. Use of remote sensing tools enables discrimination of mangroves from other vegetation types, and leads to reliable mapping (Green et al. 1998). Additional information of geography and environmentally sensitive zones from GIS data also can improve mapping results.

Based on the importance of the mangrove ecosystem in the coastal zone, in this study we investigated the role of coastal developmental activities in the degradation of the mangrove cover along the Kilim River, Langkawi Island, Malaysia.

Materials and methods Study site

Kilim River is located in the northeast part of the Langkawi Island, west coast of peninsular Malaysia (Fig. 1). Kilim River (6°21.518′-6°26.093′ N and 99°49.091′-99°55.159′ E) has a semi-diurnal tide and average temperature of 25℃ to 37℃. Mean monthly rainfall ranges from 151.9-263.9 mm. Mean daily temperatures ranged from 26.6-29.3℃ during 2003–2008 (Data obtained from Langkawi Meteorology Department).

Fig. 1 Location of the study areahat Kilim River, Langkawi Island
Image processing

SPOT images were processed according to standard methods (Green et al. 1998) to produce supervised images of mangrove and coastal developments (Fig. 2). SPOT images of Langkawi Island (path: 264, row: 337, dated: 23/02/08, 3/04/05, and 29/02/96, ) provided by Malaysian Remote Sensing Agency (MACRES) were used to classify the mangrove and coastal development in Kilim River. The images were later fine-tuned to enhance important features of raw, remotely sensed data and aerial photographs. Enhancement techniques were often used instead of classification for extracting useful information from images. Differences or anomalies were corrected using mathematical formulas derived from the distortion, which included radiometric and geometric corrections (Lillesand et al. 2004).

Fig. 2 Flowchart of the descriptive steps involved in Image Processing

Atmospheric anomalies in the images were corrected using linear regression and geometric corrections were rectified to a particular map projection and pixel size. Series of independent, single-band enhancements were applied through radiometric enhancements (Faust 1989).

Principal Component Analysis (PCA) was used in data compression. Redundant data were compacted, and displayed new bands that are more interpretable to the eye through mathematical transformations and algorithms. Normal distributions of the bands were interpreted in ellipse shapes. Normalized Difference Vegetation Index (NDVI) was used to strengthen the difference between water bodies, land, urban areas, and vegetation. It is based on computation of similar pixel values and spectral signatures into the same group.

$ {N_{{\rm{DVI}}}} = \left({{N_{{\rm{IR}}}} - {R_{{\rm{ED}}}}/{N_{{\rm{IR}}}} + {R_{{\rm{ED}}}}} \right) $

where, NIR = near infrared; RED = red band. Unsupervised classifications were conducted using Iterative Self-Organizing Data Analysis Technique (ISODATA) clustering. Pixels that satisfied certain sets of mangrove vegetation and coastal developments were assigned to the class that corresponded to those pixel criteria. With data from ground-truthing, we conducted supervised classification. This led to production of a mangrove and coastal development map in ArcView 3.3 software.

From the feature space of supervised classification (Fig. 3), the spectral image for the year 2008 was slightly overlapped. The accuracy for 2008 supervised classification image was 98.83% with Kappa ($\hat {\rm K}$) statistic value $\hat {\rm K}$ = 0.9764. The spectral in the feature space image of the year 2005 had less interference in the image. The accuracy for supervised classification was 96.88% with Kappa ($\hat {\rm K}$) statistic value $\hat {\rm K}$ = 0.9368.

Fig. 3 Feature space of supervised images. Different colours shows concentration of each ellipse represented supervised groups
Groundtruthing

Several reference pixels were pointed on the classified image and actual data were selected randomly (Congalton 1991). Using the unsupervised image, several ground truth stations were selected at each classified group. In total, 31 stations were stated as reference points on the map. The reference points were used to calculate the exact error between true coordinates on the ground and the marked coordinates (Green et al. 1998). The coordinates of each station were generated from coordinate calculation and marked using bamboo during field observation. The dominant species and tree density at each station were estimated and recorded. Composition of mangrove species was estimated visually (Green et al. 1998; Vaiphasa et al. 2005).

Results and discussion Types of coastal developments in Kilim River

Mangroves along the Kilim River coastal area were converted to agriculture, mariculture/aquaculture ponds, and commercial and residential areas. Large portions of mangroves were cleared for jetty construction which led to increased boat traffic in Kilim mangroves and along the river. In the northern part of the basin, some mangroves were converted by villagers into farmlands. Most of the mangroves were cleared after 1996 and some of deforested areas were converted into residential areas. The southern part of Kilim River was less populated, and the deforested portion was left without any further development. Several aquaculture pond areas expanded after 1996. Although the occupied areas were relatively small, the number of ponds increased over the recent 20 years. Resorts and commercial lots were developed near the sandy beaches in the cleared mangrove areas.

Paddy fields expanded into the area of coastal zone landward of the mangroves and this also caused degradation of mangroves in certain areas. The suitability of the area for agriculture probably encouraged the villagers to expand paddy fields into the back mangrove areas.

Mangrove destruction for commercial/residential area

Langkawi is one of the most beautiful islands in Malaysia and has attracted development of many resorts and hotels in the coastal zone to satisfy the tourism market. Villagers also prefer the coastal areas and riverbanks for their aesthetic values. These trends have resulted in clearing of mangroves, especially at the seaward side of mangrove stands. Because the seaward mangroves serve to reduce the wave action, removal of these trees results in coastal erosion (Spalding et al. 1997).

Mangrove cleared for timber

Since most of the mangrove forests in Kilim River were not gazette as Permanent Forest areas, deforestation has been undertaken by local communities to provide timber for private use in construction of small jetties or other structures. However, this type of exploitation has been monitored by the Forestry Department especially after the island was gazette as a Geopark in 2007.

Jetty construction and wake current action

The important role of water transportation throughout Langkawi has led to increased numbers of jetties being constructed in mangrove areas. Mangroves are permanently lost at jetty locations. Development of these jetties was required to enhance water transportation and efficiency of the fishing industry. The increase in boat numbers caused increased frequency and intensity of wake currents that slowly erode the banks and degrade mangroves. Affected mangroves are typically those farthest seaward but erosion extended landward to the middle mangrove area.

Mangrove conversion for Aquaculture & Mariculture

Culture of crustaceans is the primary aquaculture activity along the Kilim River banks. Mangals were considered highly suitable for shrimp farming because the areas were flooded with brackish and stagnant water that is ideal for aquaculture. Increasing tourist demand for seafood have led to increased production of aquaculture products. With high cost for management of the Because well designed aquaculture systems are expensive, many developers dug small-scale ponds and relied on intensive but untreated systems. This led to rapid degradation and loss of mangroves. Although several ponds were properly managed, substantial areas of mangrove were degraded at aquaculture sites due to site preparation and drainage damage.

Mangrove degradation in Kilim River

The Kilim mangroves occupied about 48% or 1976.24 ha of total mangrove area on Langkawi Island in 2008. This was after loss of about 8% (176.83 ha) of total mangrove cover over the period of 14 years since 1996. The extent of mangrove deforestation due to costal development during the recent 14 years is shown in Fig. 4. The percentage of mangrove degradation caused by various coastal developmental activities along the Kilim River is illustrated in Fig. 5.

Fig. 4 Types of coastal development along the Kilim River, Langkawi

Fig. 5 Percentage of mangrove degradation caused by coastal development

Mangrove provides ideal natural habitat for intertidal organisms. For this reason it has been among the most exploited ecosystems for aquaculture. Coastal shrimp and fish-pond aquaculture conflicted with mangrove conservation in this area because coastal ponds were constructed on drained mangrove sites. Polluted waters from aquaculture increase the potential for disease outbreaks, especially among mangrove seedlings. This reduces the dispersion of mangrove droppers thereby impacts the natural re-planting process. The increasing numbers of fishing villages in the mangrove area along the Kilim River exert pressure to clear additional mangals for house construction. Consequently, unmonitored settlements in the coastal zone directly reduce mangrove cover. Increasing usage of boats and fishing vessels along the jetties built near the coast induced wake currents, which slowly eroded riverbanks and coasts. Heavy traffic due to high demand for boat tours combined with the daily routines of fishing vessels will eventually increase erosion along the Kilim River.

In the northern part of Langkawi Island, transitional dryland forests found between stands of mangroves and true dryland forest faced threat due to land conversion for agriculture. Paddy farming was the base agriculture practice on the island and it requires large fields. Hotels, resorts, and chalets were built near the coastal area to meet tourism demands. All of these developments degraded mangroves, particularly affecting the seaward mangrove species. This led to coastal erosion.

Most of the mangrove degradation on Langkawi Island occurred in Forest Reserves. Yet, some of these losses occurred in Permanent Forest Reserves because the monitoring program throughout the islands is inadequate. Local authorities need expertise to deal with large mangrove areas to ensure mangrove sustainability in the face of development pressures.

Conclusions

Mangrove forests in Kilim river have decreased over time due to several types of coastal development. This has directly and indirectly affected the mangrove cover despite the recognition of the importance of ecological and economic services provided by mangroves. Aquaculture/mariculture practice in Kilim River need to be monitored and supervised to ensure that farmers practice proper culture methods and management. Proper management through sustainable aquaculture and mangrove conservation has generated incomes and food supplies for local communities and the entire country. For example, the total production of aquaculture ponds around Matang Mangroves, Perak, was estimated at 431 tonnes with a market value of RM 13.3 million (Azahar et al. 2009).

Mangrove conversion for settlement and commercial areas, agriculture and forestation is inevitable in Kilim River. However, the losses of mangrove due to these factors can be replaced through continuous efforts of conservation and restoration. Such programs have proven successful at other locations at balancing ecological importance with socioeconomic values of mangrove forests (Azahar et al. 2009; Imhoff et al. 1987; Imhoff et al. 1990; Blasco et al. 1994).

Remote sensing is a useful technology for monitoring and mapping large areas of mangrove forest (Jensen et al. 1991; Ramsey et al. 1996; Gang et al. 1992; Brakel 1984; Silapathong 1992; Klemas et al. 1975, and Terchunian et al. 1986). However, due to the limitations of sensors, additional information on spectral reflectance for each mangrove genus is essential. The use of hyperspectral data is an alternative for better mangroves mapping.

Mangrove cover in Kilim River, Langkawi declined by approximately 8.2% since 1996. This was caused by mangrove clearing (38%), commercial development (21%), residential development (19%), agriculture (12%), others (6%) and aquaculture (4%). Use of mangroves is necessary for the benefit of people and country. Yet it needs good planning to prevent mangrove losses and maintain the ecosystem balance.

Acknowledgement

The authors would like to express special gratitude to Malaysian Remote Sensing Agency (MACRES) for providing materials (SPOT images) used in this research.

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