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( Received 29 June 2020; Accepted 20 July 2020; Date of Publication 21 July 2020 )
WSN 147 (2020) 124-139 EISSN 2392-2192
Abrasion impact towards green turtle Chelonia mydas (Linnaeus, 1758) nesting areas in Sindangkerta, Tasikmalaya Regency, West Java,
Indonesia
Rifki A. Mustaqim*, Sunarto, Mega L. Syamsuddin, Ibnu Faizal
Department of Marine, Faculty of Fisheries and Marine Science, Universitas Padjadjaran,
Jatinangor, Sumedang 45363, West Java, Indonesia
*E-mail address: [email protected]
ABSTRACT
Green turtles (Chelonia mydas) are marine reptilians that have habitats in coastal areas to lay
eggs. Abrasion is a phenomenon of beach erosion caused by waves and ocean currents which can cause
damage to the coast. The purpose of this research is to analyze the impact of abrasion on green turtle’s
nesting areas (Chelonia mydas). The research was conducted in the coasts of Sindangkerta, Tasikmalaya
Regency, West Java, from December 2019 to January 2020. The method used in this research is
observation and survey method, and the data are analyzed comparatively and descriptively. The data
used consist of satellite imagery, tide, turtle’s landing, and the characteristics of turtle nesting areas in
Sindangkerta coast in the year 1999, 2013, and 2019. The results showed that abrasion changes the
condition of the Green Turtle (Chelonia mydas) nesting areas which led to a 40.09 m decrease in beach
width, 2.04˚ decrease in beach slope, 15.51% increase in sand (fine-medium), and a loss of several
coastal vegetation species.
Keywords: Abrasion, Green Turtle, Nesting Area, Satellite Imagery, Coastline, Sindangkerta, Chelonia
mydas
World Scientific News 147 (2020) 124-139
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1. INTRODUCTION
Turtles are animals that belong to a type of marine reptile that spend most of their life in
the ocean and only come ashore to lay eggs. Indonesia has 6 of 7 turtle species found in the
world, and Indonesia has one of the largest habitats of Green Turtle (Chelonia mydas) nesting
areas [1]. Internationally, the Green Turtle (Chelonia mydas) belongs to the Endangered Species
group on the IUCN Red List, meaning that the species will soon be at risk of extinction. On the
CITES, Green Turtle (Chelonia mydas) is categorized in Appendix I, meaning that the species
is prohibited in all forms of international trade. Indonesia itself has established protection for
all types of turtles including the Green Turtle (Chelonia mydas) through the Government
Regulation No. 7 of 1999 concerning Preservation of Plants and Animals.
One of the areas used as a landing ground and nesting area for green turtles is the
Sindangkerta Coastal Region of Tasikmalaya Regency, West Java. Based on data from the
Sindangkerta Region Conservation Resort in 2008, 103 green turtles were found ashore and
laying 10,122 eggs, the highest number of turtles and eggs since 2004. With an area of 90
hectares, Sindangkerta Beach has been designated as Sindangkerta Wildlife Reserve.
It is located in the southern coast which is directly adjacent to the Indian Ocean.
Therefore, this region is often hit by high waves from the open ocean [2,3] Wave heights can
cause longshore and perpendicular currents that lead to a deficit in coastal materials which
causes abrasion [4, 5].
The abrasion phenomenon is one of the major threats to green turtles’ habitats. It is a
dominant factor which influence the coastline greatly, such as a change in its width [4].
Abrasion can also change the beach slope, making it steeper, and change the beach sand
structure [6]. It can cause degradation or loss of coastal vegetations [7] which affects the beach
slope. Turtles tend to choose nesting sites with slopes less than 30° [8], The appropriate type of
sand for turtles to lay eggs is fine-medium sand with a percentage of 90% [9]. Coastal vegetation
is one of the requirements for turtles to choose a beach as their spawning location because the
presence of vegetation in a nesting area will provide them with comfort as they lay eggs [7-9].
Based on this background, a research needs to be conducted to analyze the impact of
abrasion on green turtles’ nesting areas in the coastal regions of Sindangkerta, Tasikmalaya
Regency so that the results of this research can be used to help manage coastal areas, especially
the Green Turtle (Chelonia mydas) nesting areas.
2. MATERIALS AND METHODS
2. 1. Study Area
The research was located in the Sindangkerta Coastal Region in Cipatujah District of
Tasikmalaya Regency, West Java, Indonesia. The coordinates are 7° 40' 13.5"- 7° 10' 52.4" S
and 108° 3' 30"- 108° 5’ 00" E. The data collection station was divided into 6 (six) stations
which were determined based on the area that is often used as a landing ground for turtles, either
to lay eggs or simply to rest.
Sindangkerta Coastal Region is directly adjacent to the Leuweung Sancang Nature
Reserve which is located in the west, to Ciawitali District in the north, Cijulang District in the
east, and South Java Sea in the south (Figure 1).
World Scientific News 147 (2020) 124-139
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Figure 1. Map of the Research Location in Sindangkerta; Katapang (Station 1), Tegal Sereh
(Station 2), Panarikan (Station 3), Pamoekan (Station 4), Karang Handap (Station 5), and
Palawah Butun (Station 6).
2. 2. Data and Methods
This research was conducted from December 2019 to January 2020. The data used in this
research were primary data and secondary data. Primary data consisted of: the width and slope
of the beach, large grains of sand, types of vegetation, and other biophysical parameters of the
Green Turtle nesting area in the Sindangkerta Coastal Region. Secondary data consisted of:
Landsat 7 ETM + digital image in 1999, Landsat 8 ETM + digital image in 2013 and 2019 in
the Sindangkerta region, Tasikmalaya Regency with a spatial resolution of 30 meters, as well
as data on the number of Green Turtles that came in 1999, 2013 and 2019.
Beach width was measured using a rolling meter by drawing a perpendicular line from
the highest tide to the outermost vegetation limit [10]. Each station was measured three times
in an area that represented its coastal width. The beach slope was measured using the Pythagoras
principle. Measurements were made using a 5 m scale rope to measure the width of the beach,
a stick of 1.5 m to get the height data and water which passed to maintain the straightness of
the scale rope. The measurement projection started from the outermost vegetation to the first
part of the beach which gets wet due to waves by projecting an extreme point perpendicular to
the coast [11]. The beach slope was obtained by the formula:
𝜶 = 𝑎𝑟𝑐 tan H
D
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Notes:
𝜶 = Beach slope angle (°)
H = Total beach height (a+b+c+d)
D = Total beach flat distance (1+2+3+4).
The beach slope angle was then identified based on [12] (Table 1.).
Table 1. Classification of Beach Slope Level.
Slope (°) Characteristic
<1 Flat to Almost Flat
1–3 Gently Sloping
3–6 Sloping
6–9 Moderately Steep
9–25 Steep
25–65 Very Steep
>65 Extremely Steep
The size of the sand grains was identified by processing the sand sample in the sieve
shaker. Samples were processed and analyzed using the sand fraction method [11]. Processing
results were then classified according to the USDA sand grains classification standard [13]
(Table 2).
Table 2. Standard Classification of Sand Grains.
Diameter (mm) Fraction
>0,02 Gravel
0,05–2 Sand
1–2 Very Coarse Sand
0,5–1 Coarse Sand
0,25–0,5 Medium Sand
0,1–0,25 Fine Sand
0,05–0,1 Very Fine Sand
0,002–0,05 Silt
<0,002 Clay
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Beach vegetation was identified based on the species name of each research station. The
vegetations that were identified were the ones in the outermost region or vegetations that border
the coast of the Green Turtle (Chelonia mydas) nesting areas. The identification results were
then analyzed based on what kind of vegetation grows in the nesting area.
Satellite image data was obtained from an image data provider website
https://glovis.usgs.gov. Image data processing was performed using ArcGIS 10.3. The first step
in processing this data was a geometric correction, which was done by placing pixels back in
such a way that on the transformed digital images, a picture of objects on the earth’s surface
which is recorded by sensors [14].
The second stage was color composite and image cutting to distinguish several objects in
each band before using a combination of Red Green Blue (RGB) on the object. Image data
cutting was done to limit the research area. The third stage was to sharpen the image to facilitate
visual interpretations through increased color and light contrast [15]. Image data analysis was
performed on the DSAS (Digital Shoreline Analysis System) software by calculating the Net
Shoreline Movement (NSM) to determine changes in distance between the longest and most
recent shoreline [16]. To find out the area of abrasion/accretion, shapefile was made in the area.
Next, the Calculate Geometry tool was chosen to calculate the area with units of 'square meters’
(sq m) [17]. The final step was the map presentation to adjust the projection and page layout by
adding coordinates, scale, wind direction, title, text, object, and map legend [15].
Data on the landing of green turtles in the Sindangkerta Coastal Region was obtained
from the Conservation Resort Region XX Pangandaran. Data from abrasion identification
results and characteristics of the green turtle nesting areas were analyzed comparatively against
the conditions before the abrasion phenomena to discover the impacts caused by abrasion
towards the nesting areas.
3. RESULT AND DISCUSSION
3. 1. Physical & Biology Characteristics
The Sindangkerta Coastal Region has a sand temperature and light intensity that is
relatively suitable for turtle nesting. The average sand temperature measured at depths of 40-
50 cm is 29.93 °C. Out of 6 stations, only 1 was identified to have a temperature above 32 °C.
The ideal temperature for the turtle nesting area ranges from 23-32 °C [18, 19]. The
measurement results of light intensity at night has an average of 0.22 Lux. Appropriate light
intensity for turtle nesting area ranges from 0-1 Lux. Based on field measurements, all stations
have light intensity below 1 Lux, suitable for turtle nesting areas [20].
Another parameter measured was the tides. Sindangkerta Coastal Region has semi-
diurnal tides that consist of two high tides and two low tides each day, with the highest tide of
1.002 meters and the lowest tide of -0.913 meters in October (Figure. 10). In general, the highest
tides occur at 2:00 a.m. GMT+7 and 2:00 p.m. GMT+7, while the lowest tides occur at 09.00
GMT+7 and 20.00 GMT+7. The highest tide is useful to determine the width of the beach and
predicting the turtle’s time arrival.
Based on the type of vegetation in the area, some vegetations were lost from 1999 to
2013. This occured due to abrasion, or differences in the research locations conducted in 1999
and 2013, which can cause a collapse or loss of coastal vegetations where turtles lay eggs [21].
World Scientific News 147 (2020) 124-139
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Meanwhile, the new vegetations were thought to exist to planting, both by the community
and the party's manager or because there were new seeds carried by the river which flowed into
the waters of the Sindangkerta Coastal Region of Tasikmalaya Regency.
Figure 2. Graphic of tidal average at Sindangkerta Coastal Region in 2019 measured at the
Pamayangsari tidal observation station.
Table 3. Comparison of Vegetation Types.
Year
Vegetation Types 1999 2013 2019
Barringtonia asiatica
Calophyllum inophyllum
Cerbera manghas
Crinum asiaticum Linn
Cycas pectinata
Ficus septica
Gonocaryum macrophyllum
Hibiscus tiliaceus
Ipomea pes-caprae
-1,5
-1
-0,5
0
0,5
1
1,50
:00
20:0
01
6:0
01
2:0
08
:00
4:0
00
:00
20:0
01
6:0
01
2:0
08
:00
4:0
00
:00
20:0
01
6:0
01
2:0
08
:00
4:0
00
:00
20:0
01
6:0
01
2:0
08
:00
4:0
00
:00
20:0
01
6:0
01
2:0
08
:00
4:0
00
:00
20:0
01
5:0
01
1:0
07
:00
3:0
02
3:0
01
9:0
0
Sea
Su
rface
Ele
vati
on
(m
)
Time (WIB)
World Scientific News 147 (2020) 124-139
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Lophatherum gracile
Morinda citrifolia
Pandanus tectorius
Pongamia pinnata
Scaevola teccada
Spinifex Littoreus
Terminalia cattapa
Tournefortia orgentea
Comparison of coastal vegetation types in 1999, 2013 and 2019 shows an increasing
number of vegetation types. For example, Calophyllum inophyllum, Crinum asiaticum Linn,
Ipomea pes-caprae, Pongamia pinnata, Scaevola teccada and Spinifex Littoreus were found in
2013 but not in 1999. Some vegetations were not found in 2013 but appeared in 1999, such
such as Ficus septica, Gonocaryum macrophyllum, Morinda citrifolia, and Tournefortia
orgentea. In 2019, the number of vegetation types increased with the discovery of Cerbera
manghas, Cycas pectinata, Lopatherum gracile, and Morinda citrifolia. However, there are
vegetations that were discovered in 2013 but not in 2019, such as Scaevola teccada and Spinifex
Littoreus (Table 3.).
3. 2. Beach Width and Slope
The Sindangkerta Coastal Region has a beach length of 3.4 km. Based on field
measurements, the average width of Sindangkerta Coastal Region is 29.25 meters. Three
stations have a beach width of more than 30 meters which are suitable for turtle nesting areas,
i.e. Station 1, Station 2, and Station 3; the other three stations have a beach width of less than
30 meters. The short width of a beach is caused by the destruction of coral reef ecosystems that
are triggered by iron sand mining activities in the area. Sand excavation or coral mining causes
larger waves to hit beaches (due to the loss of dampers), causing damage [22].
Based on DSAS (Digital Shoreline Movement) analysis, abrasion in 1999 and 2013
occurred at Station 1, Station 2, Station 3, Station 4, and Station 6. According to the beach width
data on the Sindangkerta Coastal Region of Tasikmalaya Regency, in 1999 and 2013 (Figure
4.) the beach width seemed to retreat or decrease from 52 to 17.02 meters at Katapang Station,
52.75 to 6.21 meters at Tegal Sereh Station, 45.25 to 6.44 meters at Panarikan Station, and
36.50 to 3.45 meters at Pamoekan Station.
At Karang Handap Station and Palawah Butun Station, there was no beach width data in
1999 so changes were not identified. Abrasion process is the dominant factor affecting shoreline
changes, which influence the width of the beach [23]. Beach widths in 2019 are not compared
to the ones in 2013 and 1999 because based on the DSAS (Digital Shoreline Movement)
analysis from 2013 and 2019, no abrasion occured. In 2019, the width tend to increase which
indicates accretion.
World Scientific News 147 (2020) 124-139
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Figure 3. Graphic of Beach Width Comparison
The beach slope in the Sindangkerta Coastal Region is divided into the followng criteria:
gently sloping with an angle of 1-3°, sloping with an angle of 3-6°, and moderately steep with
an angle of 6-9°. The average beach slope is 4.16°. Based on the coastal slope measurements,
all stations have a suitable slope for turtle nesting areas, which is <30°. Data in 1999 showed
that the slope of the beach tend to be steep, amounting to 19.90° at Katapang Station, 12.75° at
Tegal Sereh Station, 12.40° at Panarikan Station, and 13.25° at Pamoekan Station, whereas the
beach slope at Karang Handap Station and Pamoekan Station were not measured. In 1999 and
2013, there are changes in beach slope which tend to be sloping, which was 6.98° at Katapang
station and 2.29° at Tegal Sereh Station, whereas at Panarik Station and Pamokan Station, it
tend to be steep with a slope of 17.22° at Panarikan Station and 21.80° at Pamoekan Station
(Figure 4).
The slope of the beach is affected by beach scarp. Abrasion can form 2 types of beach
scarp i.e. beach scarp that forms between the intertidal zone and the outer boundary of coastal
vegetation and beach scarp that forms at the tip of the supratidal zone or the outer coastal
vegetation boundary [24]. Changes in beach slope (tend to be sloping) from 1999 and 2013
were caused by the beach scarp location which was on the coastal vegetation outer boundary,
while changes in the coastal slope which tend to become steep were due to the beach scarp
location that was between the intertidal zone and the outermost vegetation boundary.
The occurrence of abrasion was only detected in 1999 and 2013, therefore the beach slope
data in 2019 were not compared to the ones in 2013. Beach slope data from 2013 to 2019 show
changes that tend to be sloping at each research station.
52 52,75
45,25
36,5
0 0
17,02
6,21 6,443,45 3,22 2,86
37
46 45,5
28,25
8,75 10
0
10
20
30
40
50
60
Katapang Tegal Sereh Panarikan Pamoekan Karang
Handap
Palawah Butun
Bea
ch W
idth
(cm
)
Station
1999 2013 2019
World Scientific News 147 (2020) 124-139
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Figure 4. Graphic of Beach Slope Comparison
3. 3. Sediment Type
Based on the KUMMOD-SEL analysis, the sediment types that were identified were sand
with a brownish-black color and slight gravel sand with a whitish black color. The average sand
(fine-medium) percentage was 88.72%. Three stations have a sand (fine-medium) percentage
above 90% which are suitable for turtle nesting area, i.e. Station 1, Station 2 and Station 3. The
remaining three stations have a sand percentage below 90%. The sand size distribution is
influenced by material sources, topography, and sediment transport mechanism [25,26]. Coarse
sand in the Sindangkerta Coastal Region comes from sediment transport which originate from
the weathering of chunks of coral due to mining activities of iron sand that are carried to the
beach.
Data comparison on sand sediments from 1999 to 2013 showed an increase in sand (fine-
medium) percentage with an increasing range of 15.76% - 20.95%. The abrasion phenomenon
that occurred from 1999 to 2013 showed a change in the sand structure; it became smoother.
Form 2013 to 2019, the sand percentage tend to decrease (Figure 5).
Increased percentage of sand (moderate fine) indicates a change in the composition of the
sedimentary structure. Areas affected by abrasion will be dominated by fine sand and silt
sediment, while accretion-affected areas will be dominated by sand and a little gravel [27].
19,9
12,75 12,413,25
0 0
6,98
2,29
17,22
21,8
17,74
9,09
2,75 2,24 2,39
4,76
6,935,78
0
5
10
15
20
25
Katapang Tegal Sereh Panarikan Pamoekan Karang
Handap
Palawah Butun
Bea
ch S
lop
e (°)
Station
1999 2013 2019
World Scientific News 147 (2020) 124-139
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Figure 5. Graphic of Sand Percentage (Fine-medium) Comparison
3. 4. Effect of Nesting Area on the Number of Landing
Several factors that affect turtle landings are the physical and biological characteristics of
the beach, which include beach width, beach slope, sand percentage, sand temperature, light
intensity, food availability and beach vegetation [28]. Data on turtle landings in the
Sindangkerta Coastal Region shows fluctuating numbers, with all of them being green turtles
(Chelonia mydas). The number of turtles that landed in 1999 was 111, while in 2013 the number
dropped dramatically to 25 and increased again in 2019 to 54 (Table 4).
Table 4. Comparison between the Number of Turtles Landing and
the Habitat Conditions for Green Turtle (Chelonia mydas) Nesting Area.
Year Turtle
Landed
Beach Width
(m) Beach Slope (°)
Percentage of Sand
(Fine-medium) (%)
1999 111 46,62 14,57 78,70
2013 25 6,53 12,53 94,21
2019 54 29,25 4,14 88,72
78,7 78,7 78,7 78,7
0 0
99,5 99,65 99,694,46 92,94
79,11
98,193,62 90,71
91,56
79,6878,66
0
20
40
60
80
100
120
Katapang Tegal Sereh Panarikan Pamoekan Karang
Handap
Palawah Butun
San
d P
erce
nta
ge
(%)
Station
1999 2013 2019
World Scientific News 147 (2020) 124-139
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The characteristics of Green Turtle (Chelonia mydas) nesting areas show that in 1999, the
physical and biological characteristics were qualified as nesting areas which led to a high
number of turtle landings. Unfortunately in 2013, there was a decline due to abrasion which
made the nesting area conditions not ideal. In addition to changes in the nesting area conditions,
the rise of iron sand mining around the coasts from 2000 to 2011 also caused environmental
degradation, such as loss of land area and murky waters [29].
The number of turtle landings increased again in 2019, 54 of which were Green Turtles
(Chelonia mydas). The increase in the number of turtle landings was due to a more idealized
condition of the nesting areas. The field results show that the physical and biological conditions
at the site in 2019 were ideal where out of 6 research stations, only 2 stations did not meet the
ideal beach width for turtle nesting areas.
3. 5. Abrasion Identification
The abrasion and accretion phenomenon can be identified visually through the
intersection between the coastline in 1999 (blue line) and the coastline in 2013 (yellow line)
(Figure 6). The analysis results of the abrasion area in the Sindangkerta Coastal Region from
1999 to 2013 were 93,777.11 𝑚², while the accretion area was 11,020.03 𝑚².
Figure 6. Map of the Abrasion and Accretion Detection in 1999-2013
The map identification of abrasion and accretion in the Sindangkerta Coastal Area in
1999-2013 shows the occurrence of abrasion and accretion at each research station. The highest
World Scientific News 147 (2020) 124-139
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abrasion with an NSM (Net Shoreline Movement) value of -118.29 or an abrasion length of
118.29 meters was found in Station 2 (Tegal Sereh) which is indicated by a green line on the
map. The lowest abrasion with an NSM value of -3.41 or an abrasion length of 3.41 meters was
found in Station 3 (Panarikan) which is indicated by a light blue line on the map. The largest
accretion was identified based on the NSM value of 53.24 or an accretion length of 53.24 meters
in Station 3 (Panarikan) which is indicated by a pink line on the map. The smallest accretion
identified was at Station 5 (Karang Handap) with an NSM value of 4.61 or an accretion length
of 4.61m indicated by a purple line on the map.
The analysis results of abrasion area (93,777.11 𝑚²) indicate that in 1999 to 2013, the
Sindangkerta Coastal Region tend to experience abrasion. This finding is in accordance with
the highest abrasion length which is 118.29 meters; more than the highest accretion length
(53.24 m). The factor that caused the dominancy of abrasion during 1999 to 2013 was the
presence of sand mining activities throughout the years. Sand mining caused environmental
degradation such as loss of land area and water turbidity [29]. Sand mining in Sindangkerta
Coastal Region began from 2000 to 2011.
Mapping of abrasion and accretion in the Sindangkerta Coastal Region in 2013-2019 was
done by using coastline data from Landsat 8 ETM + in 2013 and 2019 which were processed
with ArcGis 10.3. The results of the coastline visualization show that there was no abrasion.
This is proven by the absence of intersection line between the coastline of 2013 (yellow line)
and the coastline of 2019 (red line) (Figure 7) The coastline of 2019 tends to advance towards
the ocean which shows accretion. The accretion area was calculated by the Calculating
Geometry tool and the result is 96,828.11 𝑚².
Figure 7. Map of the Abrasion and Accretion Detection in 2013-2019
World Scientific News 147 (2020) 124-139
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The largest identified accretion based on the NSM value of 106.4 or an accretion length
of 106.4 meters was found in Station 1 (Katapang) which is indicated by a pink line on the map.
The smallest accretion was identified in Station 2 (Tegal Sereh) with an NSM value of 4.79 or
an accretion length of 4.79 meters indicated by a purple line on the map.
The analysis results of the map identification for abrasion and accretion in 2013-2019
showed the occurrence of accretion, but no abrasion. This is allegedly because there were no
sand mining activities in the area, which was previously a dominant factor in the occurrence of
abrasion [30]. Meanwhile, the sedimentation process which originated from 4 rivers [31] flows
to the Sindangkerta Coastal Region. This was one of the dominant factors in accretion.
3. 6. Abrasion Impact on the Number of Landing
Based on the impact analysis of abrasion from 1999 to 2013, it is known that abrasion
caused the beach width to decrease by 40.09 meters. As the width decreased, so did the number
of turtle landings. This is because the turtles choose nest locations that is far from the highest
tide. The farther the nest is from the highest tide, the greater the hatch rate of the green turtles
(Chelonia mydas) [32].
Abrasion also caused a decrease in beach slope by 2.04°, and the number of turtle landings
was influenced by it. On a slope of 4-6°, the number of turtle landings decreased but on a slope
of 13-15°, the number of turtle landings increased. This is because in this range, the turtles can
reach the nest easily and prevent the nest from absorbing seawater. However, beaches that are
too sloppy are risking the nest to be exposed to seawater absorption. Beach with slopes above
6° is a factor that determines the success of spawning [33].
Abrasion also changed the sand (fine-medium) percentage by 15.51%. Changes in the
sand percentage do not affect turtle landings as long as the width and slope of the beach is still
ideal. This is because turtles will return to the same beach where they are born, provided that
the beach width and slope are suitable [34]. Beach width and beach slope have a greater
influence on the suitability of green turtle (Chelonia mydas) [35] nesting areas with a value of
14%, where as sand cover is the parameter with the smallest influence with a value of 10%.
Abrasion can also cause a loss of several types of coastal vegetation, but this does not
affect the number of turtle landings as long as one of the vegetations that are often used as a
nest canopy (Calophyllum inophyllum, Pandanus tectorius, Ipomea pes-caprae, or Canavalia
maritime) remains. Coastal vegetations of the tree-type that are often used as shades for green
turtles nesting are Nyamplung (Calophyllum inophyllum) and Thatch Screwpine (Pandanus
tectorius), whereas the shrub-type are Bayhops (Ipomea pes-caprae) and Bay Bean (Canavalia
maritime) [10].
4. CONCLUSIONS
Based on the results and discussions, it can be concluded that an abrasion of 93,777.11
𝑚2 occured in the Sindangkerta Coastal Region of Tasikmalaya Regency in 1999 and 2013,
with the highest abrasion found at Station 2 (Tegal Sereh), which was 118.29 m long, while the
lowest abrasion was at Station 3 (Panarikan), which was 3.41 m long. Abrasion induced changes
in the nesting areas for green turtles (Chelonia mydas) which caused a reduction in beach width
by 40.09 m, a decrease in beach slope by 2.04°, an increase in sand (fine-medium) percentage
by 15.51%, and a loss of several types of coastal vegetations.
World Scientific News 147 (2020) 124-139
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Acknowledgment
The authors are grateful to the Marine Science Department of Universitas Padjadjaran, Sindangkerta Wildlife
Reserve, USGS Global Visualization Viewer (GloVis), and anonymous reviewers who enrich this article.
References
[1] Westerlaken, R., The Use of Green Turtles in Bali, When Conservation Meets Culture.
An 1mage. Jurnal Studi Kultural, 1(2), 89-93, 2016.
[2] Purba N. P., Apriliani I. M., Dewanti L. P., Herawati H., & Faizal,I., Distribution of
macro debris at Pangandaran Beach, Indonesia. World Scientific News 103(7), 144-156
2018.
[3] Wyrtki, K., Physical Oceanography of the Southeast Asian Waters. The University of
California, Scripps Institution of Oceanography, La Jolla California, NAGA Report, 2,
17-27 p, 1961.
[4] Achiari, H., Wiyono, A., & Sasaki, J., Current characteristics and shoreline change at
Pondok- Bali, North Coast-West Java of Indonesia. Procedia Earth and Planetary
Science 14, 161-165, 2015.
[5] Yuliadi, L. P. S., Nurruhwati, I., & Astuty, S., Seasonal Distribution of Benthic
Foraminifera in Pangandaran Waters, Indonesia. World News of Natural Sciences.
29(3), 225–239, 2020.
[6] Boye, C.B., Appeaning Addo, K., Wiafe, G., Dzigbodi-Adjimah, K., Spatio-temporal
analyses of shoreline change in the Western Region of Ghana. Journal of Coastal
Conservation, 22 (4), 769-776, 2018.
[7] Shadrin, N. V., Coupling of Shoreline Erosion and Biodiversity Loss: Examples from
the Black Sea. International Journal of Marine Science, 3(43), 352-360, 2013.
[8] Witherington, Blair E. & Martin, R. Erik., Understanding, Assessing, and Resolving
Light-Pollution Problems on Sea Turtle Nesting Beaches. St. Petersburg, FL, Florida
Marine Research Institute, Technical Report, TR-2, 3, 9-10, 2003.
[9] Putra, B. A., Edi, W. K., & Sri, R., Study of Biophysical Characteristics of Habitat for
Laying Green Sea Turtle (Chelonia mydas) on Paloh Beach, Sambas, West Kalimantan.
Journal of Marine Research, 3, 173–181, 2013.
[10] Hindar, H., Muchlisin, Z. A., & Abdullah, F., Characteristics of nesting habitat of sea
turtle Lepidochelys olivacea in Lhoknga Beach, Aceh Besar District, Indonesia. Aceh
Journal of Animal Science, 3(1), 25–32, 2018.
[11] Godfrey, M. H., & Barreto, R., Beach vegetation and sea finding orientation of turtle
hatchlings. Biological Conservation, 74(1), 29–32, 1995.
[12] Zuidam, R. A. van, Aerial Photo Interpretation in Terrain Analysis and Geomorphology
Mapping. Smits Publishers, 442 p, 1986.
[13] Hillel, D., Introduction to Soil Physics. Academic Press, 21-39, 1982.
World Scientific News 147 (2020) 124-139
-138-
[14] Mather, P. M., Computer Processing of Remotely Sensed Data. John Wiley & Sons, 94-
95, 2011.
[15] Alesheikh, A.A., Ghorbanali, A., & Nouri, N., Coastline change detection using remote
sensing. Int. J. Environ. Sci. Tech. 4 (1), 61-66, 2007.
[16] Jensen, J.R., Introductory Digital Image Processing, A Remote Sensing Perspective.
Prentice-Hall. 237-238, 2005.
[17] Boak, E.H, & Turner, I.L., Shoreline definition and detection, A review. J. Coast. Res.
21 (4), 688-703, 2005.
[18] Harahap, S. A., Prihadi, D. J., & Virando, G. E., Spatial characteristics of the Hawksbill
(Eretmochelys imbricate Linnaeus, 1766) nesting beach on Kepayang Island, Belitung -
Indonesia. World Scientific News. 146(6), 152–169, 2020.
[19] J. O. Laloë, N. Esteban, J. Berkel, & G. C. Hays, Sand temperatures for nesting sea
turtles in the Caribbean: Implications for hatchling sex ratios in the face of climate
change. Journal of Experimental Marine Biology and Ecology, 474, 92–99, 2016.
[20] Cruz, L. M., Shillinger, G. L., Robinson, N. J., Tomillo, P. S., & Paladino, F. V., Effect
of light intensity and wavelength on the in-water orientation of olive ridley turtle
hatchlings. Journal of Experimental Marine Biology and Ecology, 505, 52–56, 2018.
[21] W. Finkl, C., Coastal Classification: Systematic Approaches to Consider in the
Development of a Comprehensive Scheme. Journal of Coastal Research, 20(1), 166–
213, 2004.
[22] Bertoni, D., Sarti, G., Grottoli, E., Ciavola, P., Pozzebon, A., Domokos, G., & Novák-
Szabó, T., Impressive abrasion rates of marked pebbles on a coarse-clastic beach within
a 13-month timespan. Marine Geology, 381, 175–180, 2016.
[23] de Alegria-Arzaburu, A. R., Mariño-Tapia, I., Silva, R., & Pedrozo-Acuña, A., Post-
nourishment beach scarp morphodynamics. Journal of Coastal Research, 65, 576–581,
2013.
[24] Abuodha, J. O. Z., Grain size distribution and composition of modern dune and beach
sediments, Malindi Bay coast, Kenya. Journal of African Earth Sciences, 36(1–2), 41–
54, 2003.
[25] T. A. Stewart, D. T. Booth, & M. U. Rusli, Influence of sand grain size and nest
microenvironment on incubation success, hatchling morphology and locomotion
performance of green turtles (Chelonia mydas) at the Chagar Hutang Turtle Sanctuary,
Redang Island, Malaysia. Australian Journal of Zoology 66(6), 356–368, 2019.
[26] Suhendra, Amron, A., & Hilmi, E., The pattern of coastline change based on the
characteristics of sediment and coastal slope in the Pangeran coast of Cirebon, West
Java. E3S Web of Conferences, 47, 2018.
[27] Zavaleta-Lizárraga, L., & Morales-Mávil, J. E., Nest site selection by the green turtle
(Chelonia mydas) on a beach of the north of Veracruz, Mexico. Revista Mexicana de
Biodiversidad, 84(3), 927–937, 2013.
World Scientific News 147 (2020) 124-139
-139-
[28] Cao, W., Li, R., Chi, X., Chen, N., Chen, J., Zhang, H., & Zhang, F., Island
urbanization and its ecological consequences: a case study in Zhoushan Island, East
China. Ecological Indicators, 76, 1–14, 2017.
[29] Chand P., &Acharya P., Shoreline change and sea-level rise along the coast of
Bhitarkanika wildlife sanctuary, Orissa: An analytical approach of remote sensing and
statistical techniques. International Journal of Geomatics and Geosciences, 1(3), 2010.
[30] Central Bureau of Statistics. Tasikmalaya in Numbers, Indonesia. Central Bureau of
Statistics Tasikmalaya Regions, 563 p, 2016
[31] Y. A. Prakoso, R. Komala, & M. Ginanjar, Characteristics of hawksbill turtle
(Eretmochelys imbricata) nesting area in Kepulauan Seribu National Park, Jakarta.
Proceeding of National Seminar: Society for Indonesian Biodiversity, 5 (1), 112–116,
2019.
[32] Wood, D. W., & Bjorndal, K. A., Relation of Temperature, Moisture, Salinity, and
Slope to Nest Site Selection in Loggerhead Sea Turtles. Copeia, 1, 119–128, 2000.
[33] N. A. Sloan, A. Wicaksono, T. Tomascik & H. Uktolseya, Pangumbahan sea turtle
rookery, West Java, Indonesia: Toward protection in a complex regulatory regime.
Coastal Management, 22(3), 251-264, 1994.
[34] Afandy, Y. A., Yulianda, F., Agus, S. B., & Liew, L. P., Habitat Suitability and Zoning
Analysis for Green (Turtle Chelonia mydas) In The Marine Conservation Areas of
Pangumbahan Turtle Park, Sukabumi. Jurnal Ilmu Dan Teknologi Kelautan Tropis,
8(2), 539–552, 2017.
[35] Nastiti, A.S., & Ngurah, N.W., Management of Green Turtle Eggs (Chelonia mydas) as
one of the Supporting Aspects for its Sustainability in Pangumbahan Beach, Sukabumi
Regency, West Java Province, Indonesia. Proceedings of the Design Symposium on
Conservation of Ecosystem, 21-28, 2013.