Distribution, Above-Ground Biomass and Carbon Stock Of The Vegetation in Taman Beringin Urban Forest, Medan City, North Sumatra, Indonesia

  

DISTRIBUTION, ABOVE-GROUND BIOMASS

AND CARBON STOCK OF THE VEGETATION IN

TAMAN BERINGIN URBAN FOREST, MEDAN

CITY, NORTH SUMATRA, INDONESIA

  1*

  1 RAHMAWATY , NOVITA ARIANI SITORUS

  2 1 AND ABDUL RAUF

  Forestry Study Program, Faculty of Forestry, University of Sumatera Utara, Jl. Tri Dharma 2 Ujung No. 1 Kampus USU, Medan 20155, Indonesia Agroecotechnology Study Program, Faculty of Agriculture, University of Sumatera Utara, Jl.

  A. Sofyan No. 3 Kampus USU, Medan 20155, Indonesia

  • Corresponding author: Email

  

Abstract: One type of green open space located in Medan City is the Taman

  Beringin Urban Forest. This study aimed to map the distribution of vegetation and to calculate carbon stocks of vegetation and above-ground biomass (AGB) at the Taman Beringin Urban Forest. A tree inventory was conducted using a census method to determine the types and number of tree species and to measure the diameter and height of the trees. A non-destructive sampling method was conducted to estimate the biomass, using an allometric formula. The calculation of biomass and carbon stocks or carbon was conducted for above ground level

  —that is, only for living vegetation. The types of flora in the urban forest include trees (34 species), ornamental plants (five species) and bamboo (two species). Overall, 676 trees were found. The total biomass was 218.82 ton/ha and the carbon stock was 100.68 ton/ha.

  Key words: AGB, allometric model, carbon stock, Urban Forest

  

INTRODUCTION

  The Indonesian Government that the urban forest is an expanse of land where compact and dense trees grow in urban areas on both state and public land that has been designated as urban forest by the government for the purposes of sustainability, harmony and balancing the urban ecosystem; the urban forest yields environmental, social and cultural benefits. Further, the Regulation of the Ministry of Forestry (2009) No. 71 stipulating guidelines for the implementation of urban forest mentions that urban forest should cover at least 0.25 ha of each compact area. The urban forest is a very important element for maintaining balance in the city (Zmelik et al. 2011). The urban forest is the main element in the form of natural vegetation that absorbs pollutants in the form of gas and dust particles through the leaves (Rawat & Banerjee 1996; Dahlan 2011).

  

73 Green open space is an absorber of carbon (carbon sink) and are effective in reducing carbon emissions in the atmosphere (Shannigrahi et al. 2003; Basri 2009). According to Dahlan (2011), one of the efforts to reduce emissions and air pollution in urban areas is the presence of green open space. Based on data provided by the Environment Agency of North Sumatra Province (2015), the amount of green open space in Medan City is not currently sufficient. Green open space in Medan City encompasses 2,120.8 ha or 8% of the total area of Medan City (26.510 ha).

  The provision of green open space is regulated by the Law on Spatial Planning No. 26 (2007). Further, the provision of the supply and use of green open space is contained in the Regulation of the Minister of Public Works No. 5 (2008), a guideline for the provision and use of green open space in urban area, and the Regional Regulation of Medan City (Perda Kota Medan) No. 13 (2011). Under the regulation, the proportion of green open space in the urban area should be at least 30% and composed of 20% of public green open space and 10% of private green open space. This policy on the minimum proportions of green open space is intended to support the balancing of urban ecological systems and to ensure the requisite availability of clean air for the community; it can also provide aesthetic value to the spatial structure of the city.

  Taman Beringin Urban Forest is a green open space located in the centre of Medan City (Jalan Sudirman). As it is clean, airy, easily accessible and does not require an entrance fee, the park is frequented by the public. The existence of urban forests is very important for creating a comfortable urban terrain, especially in terms of the absorption of carbon dioxide (CO ) and the provision of oxygen (O ): the green

  2

  2

  belt of Medan City serves as a CO

  2 sink. Given the lack of information regarding the

  distribution, the above-ground biomass (AGB) and the carbon stock of the vegetation at Taman Beringin Urban Forest in Medan City, North Sumatra, Indonesia, a study is essential for providing information about the current state of the forest and planning future development. This study aimed to map the distribution of vegetation in Taman Beringin Urban Forest and to calculate its carbon stocks and its AGB. It is anticipated that this research will provide information that can be used to determine management plans for the environmental development of Medan City.

  This study was conducted in Taman Beringin Urban Forest, Medan City, which is located in the Medan Maimun Subdistrict and comprises an area of 1.304 ha. Data analysis was performed in the Laboratory of Integrated Forest Management in the Faculty of Forestry at the University of Sumatra Utara. Census methods were used to determine the type and number of species, as well as to measure the diameters and heights of the vegetation in Taman Beringin Urban Forest. Thirty plots with areas of 20 m square were created and all trees in these plots were recorded. A global positioning system (GPS) was used to record the coordinates of the trees and a geographic information system (GIS) was used to map the distribution of trees. A non- destructive sampling method that did not cause harm to vegetation during the estimation of biomass was employed; it entailed the use of an allometric formula that was either general or specific to a certain type of vegetation. The calculation of biomass and carbon stocks or carbon was conducted solely above ground on the AGB —that is, only on living vegetation.

  The primary data taken from Taman Beringin Urban Forest included the types, numbers, diameters and heights of the vegetation. Secondary data used as supportive data in this study comprised an administrative map of Medan and several existing allometric models (Table 1). The diameters of trees were measured to ascertain the growth-rate of vegetation (Manuri et al. 2016; Manuri et al. 2014; Krisnawati et al. 2012). Measurements were obtained at a fixed diameter breast height (DBH) or at 1.3 m from the ground’s surface (Hairiah et al. 2011; Krisnawati et al. 2012; Manuri et al. 2014). The parameters used for estimating the biomass of bamboo, palms and bananas were height and diameter

  —or DBH—according to the allometric formula used (Table 1). All trees were measured in the standing position. The calculation of the value of biomass and carbon stocks or carbon stored is achieved using allometric models.

  Table 1. The allometric formula used in this study Flora Allometric equation model Reference Swietenia Adinugroho &

  2,68

  Y=0,048 D

  macrophylla Sidiyasa, 2006

2 0,6840

  Bt=0,9029(D .H) Mugiono, 2009

  Swietenia mahagony 2 0,9018

  Acacia auriculiformis Bt = 0,0775(D .H ) Mugiono, 2009

  Palm (AGB)est = 4.5 + 7.7 x H Frangi & Lugo, 1985

  2.13 Musa ornata (AGB)est = 0.030 D Arifin, 2001 Elaeis guineensis (AGB)est = 0,0976 H + 0,0706 Hairiah et al. 2011

  Bamboo Y= -3225,8 + 1703,4 DBH Kumar et al. 2005

  2,59

  Tree in Sumatera B = 0,066D Ketterings et al. 2001

  2,62

  Branching Tree Kettering et al. 2001 Y=0,11 ρ D

  Note: Y = tree biomass (kg/ind); Bt = total biomass (kg/ind); (AGB) est = above ground biomass (kg/ind); B = total biomass (kg/ind); H = total height of vegetation (m); D = diameter at breast height 3 ). (cm) at 1.3 m; ρ = wood density (gr/cm

  The composition of tree species was determined by the important value index (IVI). The IVI consisted of the sum of the relative frequency, the relative density and the relative dominance (Mawazin & Subiakto 2013). The mastery level of each species in the community was indicated by the IVI (Kusmana 2017). The diversity of species was also calculated using the Shannon-Wiener diversity index (Kent & Paddy 1992).

  

RESULTS AND DISCUSSION

Taman Beringin Urban Forest is planted with various types of vegetation (Figure 1).

  The types of flora in the urban forest include trees (34 species), ornamental plants (five species) and bamboo (two species). Overall, 676 species were found. Swietenia

  

macrophylla was the dominant tree found in the Taman Beringin Urban Forest (there

  were 71 individual trees), followed by Pterocarpus indicus (comprising 27 individual trees; see Table 2). The Poaceae family was the most prevalent, followed by the Meliaceae and Fabaceae families.

  As can be seen in Table 2, for tree, Swietenia macrophylla has the highest

  IVI (43.03%), followed by Pterocarpus indicus (26.43%). The value of the diversity index for the study sites was 2.72 (classified as moderate), meaning that the that environmental conditions were still relatively stable.

  

(a) (b) (c)

  (d) (e) (f)

  

Figure 1. Vegetation at the Taman Beringin Urban Forest: a. Ficus benjamina,

  b. Syzygium malaccense, c. Baccaurea angulata Merr.,

  d. Sandoricum koetjape Merr., e. Bambusa pulgaris Sehara, f. Alstonia scholaris R. Br.

  Vegetation which is grown in Taman Beringin Urban Forest is aesthetic. Seedlings were planted in Taman Beringin by the Landscape Gardening Services Agency of Medan City as an effort to improve the quality and quantity of Taman Beringin urban forest. Plants have a very important role in absorbing CO

  2 emissions

  from transportation activities on the motorway (Berutu 2014). The CO emissions can

  2

  be categorized into two, namely direct emissions (such as CO

  2 emissions from motor

  vehicles) and indirect emissions (such as electrical energy consumption in households) (Pradiptiyas 2011; Berutu 2014).

  The distribution of the vegetation in Taman Beringin Urban Forest can be presented on maps using GIS technology. Among their other functions, maps show the spatial distribution of geographic phenomena, including their different positions on the surface of the earth. Maps can help to expand the limits of the human eye, allowing it to see the spatial characteristics of the environment. Based on its form, the urban forest can be classified into three types: a.

  Clustered or accumulated (vegetation concentrated in an area of least 100 trees with dense and irregular spacing).

  b.

  Spread (no particular pattern; vegetation growing in small, scattered clumps or clusters).

  c.

  Tracked (vegetation growing in straight or curved lines, following the formation of rivers, roads, beaches and channels).

  The distribution of plant species in the Taman Beringin Urban Forest is presented in Figure 2. As can be seen in Figure 2, the Taman Beringin Urban Forest is categorised as ‘spread’.

  Figure 2. Distribution of plant species in Taman Beringin Urban Forest

  Table 2. Species numbers and important value index (IVI) at the Taman Beringin

  14

  28 Saga (Adenanthera pavonina) Leguminoceae

  2.43

  2

  27 Saga (Abrus precatorius) Leguminoceae

  4.68

  2

  26 Rukam (Scolopia macrophylla) Flacourtiaceae

  7.98

  1

  25 Rambutan (Nephelium lappaceum) Sapindaceae

  14.30

  24 Rambai Hutan (Baccaurea angulata Merr.) Euphorbiaceae

  9.92

  16.70

  22

  23 Pulai (Alstonia scholaris R. Br.) Apocynaceae

  5.98

  3

  22 Nangka (Anthorocarpus integra Merr.) Moraceae

  6.04

  3

  21 Nam-Nam (Cynometra cauliflora L.) Leguminoceae

  12.51

  6

  20 Mangga (Mangifera indica) Anacardiaceae

  13

  29 Sentul (Sandoricum koetjape Merr.) Meliaceae

  3

  34 Trembesi (Pithecolobium saman Benth.) Fabaceae

  41 Bambu Kuning (Bambusa pulgaris Sehara) Poaceae 134

  

40 Bambu Hijau (Bambusa sp.) Poaceae 268 141.67

  39 Pisang Hias (Musa ornata) Musaceae 1 200.00

  38 Palem Raja (Roystonea regia) Arecaceae 26 143.14

  14.05

  1

  37 Palem Merah (Cyrtostachys lakka) Arecaceae

  22.88

  4

  35 Kelapa Kuning (Cocus nucifera L.) Arecaceae

  10.46

  9

  3.54

  5

  2

  33 Tanjung (Mimusops elengi) Sapotaceae

  10.04

  3

  32 Sukun (Artocarpus communis) Moraceae

  2.80

  1

  31 Srikaya (Annona squamosa) Annonaceae

  1.90

  1

  30 Serut (Malpighia coccigera) Malpighiaceae

  5.07

  3.90

  19 Mahoni (Swietenia mahagoni) Meliaceae

  Urban Forest in Medan City

  9.62

  2

  8 Delima (Punica granatum) Punicaceae

  3.64

  2

  7 Dahu (Dracontomelon dao Merr.) Anacardiaceae

  18.29

  7

  6 Cemara Gunung (Casuarina junghuniana) Casuarinaceae

  4.70

  5

  5 Beringin (Ficus benjamina) Moraceae

  2

  9 Duku (Lansium domesticum) Meliaceae

  4 Belimbing (Averrhoa carambola) Oxalidaceae

  1.89

  1

  3 Babungur (Lagerstroemia speciosa) Lythraceae

  26.43

  27

  2 Angsana (Pterocarpus indicus) Fabaceae

  3.72

  2

  1 Akasia (Acacia auriculiformis) Fabaceae

  IVI (%)

  No. Tree species Family Number of trees

  12.54

  2

  43.03

  1

  71

  18 Mahoni (Swietenia macrophylla) Meliaceae

  10.08

  2

  17 Mahkota Dewa (Phaleria macrocarpa) Thymelaeaceae

  1.81

  1

  16 Kokosan (Lansium aquaeum) Meliaceae

  6.43

  6

  15 Ketapang (Terminalia catappa) Combretaceae

  1.89

  14 Kerai Payung (Filicium decipiens) Sapindaceae

  12.54

  1.69

  1

  13 Kapuk (Ceiba pentandra) Malvaceae

  10.46

  9

  12 Jambu Bol (Syzygium malaccense) Myrtaceae

  8.10

  5

  11 Jambu Air (Eugenia aquea) Myrtaceae

  4.86

  3

  10 Eboni (Diospiros celebica) Ebenaceae

  58.33 Total 676 The total amount of biomass in the Taman Beringin Urban Forest was 218.81 ton/ha and 100.65 ton/ha of carbon stock was found (Table 3).

  

Table 3. The total amount of biomass and carbon stocks in the Taman Beringin Urban

  26 Rukam (Scolopia macrophylla) Flacourtiaceae

  30 Serut (Malpighia coccigera) Malpighiaceae

  1.20

  2.60

  29 Sentul (Sandoricum koetjape Merr) Meliaceae

  4.53

  9.84

  28 Saga (Adenanthera pavonina) Leguminoceae

  1.00

  2.16

  27 Saga (Abrus precatorius) Leguminoceae

  0.05

  0.12

  0.01

  0.43

  0.02

  25 Rambutan (Nephelium lappaceum) Sapindaceae

  1.69

  3.67

  24 Rambai Hutan (Baccaurea angulata Merr) Euphorbiaceae

  16.20

  35.22

  23 Pulai (Alstonia scholaris R. Br.) Apocynaceae

  0.12

  0.25

  22 Nangka (Anthorocarpus integra Merr.) Moraceae

  0.09

  0.19

  0.93

  31 Srikaya (Annona squamosa) Annonaceae

  0.07

  0.01

  2.17

  41 Bambu Kuning (Bambusa pulgaris Sehara) Poaceae

  0.07

  0.16

  40 Bambu Hijau (Bambusa sp.) Poaceae

  0.01

  0.01

  39 Pisang Hias (Musa ornata) Musaceae

  0.34

  0.75

  38 Palem Raja (Roystonea regia) Arecaceae

  0.01

  37 Palem Merah (Cyrtostachys lakka) Arecaceae

  0.13

  0.00

  0.00

  36 Kelapa Sawit (Elaeis guineensis) Arecaceae

  0.08

  0.18

  35 Kelapa Kuning (Cocus nucifera L.) Arecaceae

  0.19

  0.42

  34 Trembesi (Pithecolobium saman Benth) Fabaceae

  0.03

  0.06

  32 Sukun (Artocarpus communis) Moraceae

  0.06

  21 Nam-Nam (Cynometra cauliflora L.) Leguminoceae

  0.14

  Forest

  9.80

  0.02

  9 Duku (Lansium domesticum) Meliaceae

  0.01

  0.02

  8 Delima (Punica granatum) Punicaceae

  0.16

  0.34

  7 Dahu (Dracontomelon dao Merr.) Anacardiaceae

  0.03

  0.06

  6 Cemara Gunung (Casuarina junghuniana) Casuarinaceae

  4.51

  5 Beringin (Ficus benjamina) Moraceae

  10 Eboni (Diospiros celebica) Ebenaceae

  0.02

  0.05

  4 Belimbing (Averrhoa carambola) Oxalidaceae

  0.33

  0.72

  3 Babungur (Lagerstroemia speciosa) Lythraceae

  43.26

  94.04

  2 Angsana (Pterocarpus indicus) Fabaceae

  0.22

  0.47

  1 Akasia (Acacia auriculiformis) Fabaceae

  No. Species Family Biomass total (ton/ha) Carbon stock (ton/ha)

  0.01

  0.61

  20 Mangga (Mangifera indica) Anacardiaceae

  16.04

  0.14

  0.31

  19 Mahoni (Swietenia mahagoni) Meliaceae

  1.66

  3.62

  18 Mahoni (Swietenia macrophylla) Meliaceae

  0.01

  0.03

  17 Mahkota Dewa(Phaleriamacrocarpa) Thymelaeaceae

  0.72

  1.56

  16 Kokosan (Lansium aquaeum) Meliaceae

  34.88

  0.28

  15 Ketapang (Terminalia catappa) Combretaceae

  0.44

  0.95

  14 Kerai Payung (Filicium decipiens) Sapindaceae

  3.41

  7.41

  13 Kapuk (Ceiba pentandra) Malvaceae

  0.28

  0.61

  12 Jambu Bol (Syzygium malaccense) Myrtaceae

  0.08

  0.18

  11 Jambu Air (Eugenia aquea) Myrtaceae

  1.00 TOTAL 218.82 100.68 There were 27 individual Pterocarpus indicus plants in the forest with an average diameter of 31.89 cm and an average height of 5.98 m. Pterocarpus indicus produced the greatest number of biomass and carbon stocks at 94.04 ton/ha and 43.26 ton/ha respectively. Alstonia scholaris R. Br.

  —of the family of Apocynaceae— produced the second-greatest values of biomass and carbon stocks at 35.22 ton/ha and 16.20 ton/ha respectively. Factors affecting the value of biomass include richness, vegetation type and diameter, the amount of vegetation, the vegetation density and the area size, in accordance with the work of Manuri et al. (2016), Manuri et al. (2014) and Krisnawati et al. (2012).

  Tables 2 and 3 further indicate that the Bambusa sp. and Bambusa pulgaris Sehara had the highest number of individual plants but that their biomass and carbon stocks were low as a consequence of their small diameters (2.2 cm and 8.94 cm).

  Diameter and density of vegetation affect the value of biomass and carbon stocks (Manuri et al. 2014). Moreover, the potential for carbon stock is influenced by the composition of the diameter and the density of the trees, rather than the density of land cover. Forest types with high-density compositions are likely to produce more carbon stocks than forests of high density comprising tree species of lower weights (Maulana 2009).

  Carbon stock was obtained by multiplying the value of the biomass to achieve the concentration of carbon in organic matter, which is equal to 46% (Hairiah & Rahayu 2007). The concentration of carbon stock was affected by many different parameters, for example: the diversity of vegetation types, the diameter and the density of individual plants. Where the diameter of the tree was large, the number of surrounding vegetation types was greater and, where the standing density was increased, the value of the biomass and carbon stocks was also significant (Adinugroho 2011). If the diameter of the tree was large, the number of types of vegetation was high, and the standing density was large, then the value of the biomass and carbon stocks was also great. For example: the diversity of vegetation types, diameter, and density of individuals. Planting tree species that has a diameter and a large canopy cover, such as Alstonia scholaris, Pterocarpus indicus, Swietenia

  

macrophylla , Mimusops elengi, and Filicium decipiens can increase the level of

  absorption and carbon savings. According to Dahlan (2011), Switenia macrophylla also absorbs CO at a rapid rate (295.73 kg CO /tree/yr).

  2

  2 The important role of Taman Beringin Urban Forest was removing CO from

  2

  the surrounding environment. It has a good potential for carbon storage. The addition of vegetation, the selection of the appropriate species and growing fast species were necessary to achieve the objectives of the green open space in Medan City, namely: for sustainability, harmony, and balance of urban ecosystems that include elements of environmental, social and cultural.

  In general, the carbon stock found in the green open space was lower than that of natural forests. According to Masripatin (2010), the carbon stocks of various land-cover classes in natural forests range from 7.5 to 264.70 ton/ha, whereas the carbon stocks of the Taman Beringin Urban Forest were 100.65 ton/ha (over a total area of 1,304 ha). The value of the carbon stocks in the Taman Beringin Urban Forest was found to be higher than those of other regions in Sumatra; for example, the carbon stocks of Pekanbaru Urban forest were 56.15 ton/ha (in tracked form) and 69.47 ton/ha (in clustered form) (Ratnaningsih & Suhesti, 2010). Further, the carbon stocks in agroforestry at Sei Bingai Subdistrict, Langkat, North Sumatra were 58.438 ton/ha; in Bahorok Subdistrict, Langkat, North Sumatra, they were 63.005 ton/ha; and in Wampu Subdistrict, Langkat, North Sumatra, they were 56.76 ton /ha (Malau 2013; Rauf 2004). Hence, the carbon stocks in the Taman Beringin Urban Forest are capable of absorbing CO from and of providing O to Medan City.

  2

  

2

CONCLUSION

  The Taman Beringin Urban Forest is categoriz ed as ‘spread’. The types of flora in the forest include trees, ornamental plants and bamboo. Overall, 676 species were found. The value of the diversity index for the study sites was 2.72. The total amount of biomass was 218.81 ton/ha and 100.65 ton/ha of carbon stock was found. The

  

Bambusa sp. and Bambusa pulgaris Sehara had the highest number of individual

plants but that their biomass and carbon stocks were low.

  

ACKNOWLEDGEMENTS

  We are grateful to the University of Sumatera Utara, the organizing committee for the International Conference on Sustainable Forest Development in View of Climate Change (SFDCC) 2016 and APAFRI for supporting the presentation of this work on 8-11August 2016, at the Bangi Putrajaya Hotel, Malaysia. We also thank the students of the Faculty of Forestry at the University of Sumatera Utara who assisted with the field work.

  

REFERENCES

  Adinugroho, W.C. 2011. Contribute to agroforestry systems to carbon reserves in the upstream of Bekasi Watershed. Thesis. Bogor Agricultural University.

  Bogor. Arifin, J. 2001. Estimation of carbon storage on different forms of land use in Ngantang, Malang. Thesis. Brawijaya University. Malang.

  Basri, I.S. 2009. The green belt for air pollution control in relation to quality of life in urban areas. SMARTek Journal 7(2): 113-120. Berutu, G. 2014. Importance of vegetation role in the green open space to reduce CO

  2

  emissions from transport activity results in highway (a case study of toll road: Bogor Ring Road, Section I). Accessed on 2016 August 1 from

  Dahlan, E.N. 2011. The adequacy of urban forests as sinks of CO

  2 gas to anticipate

  the decrease of green open space areas in Bogor City. Forum Geografi 25(2): 164-177. Environment Agency of North Sumatra Province. 2015. Regional environmental status in North Sumatra Province. The Environment Agency of North

  Sumatra Province, Medan. 122 pp. Frangi, J.L. & Lugo, A.E. 1985. Ecosystem dynamics of a subtropical flood plain forest. Ecological Monographs 55:351-369. Hairiah & Rahayu, S. 2007. Measurement of Carbon Stock in Various Land Use.

  World Agroforestry Centre, ICRAF SEA Regional Office. Brawijaya University. Malang. Hairiah., Ekadinata, A., Sari, R. & Rahayu, S. 2011. Measurement of carbon stock of land level to landscape. World Agroforestry Centre, ICRAF SEA Regional

  Office. Brawijaya University. Malang. Irwan, Z.D. 1994. The role of city shape and city structure to environmental quality.

  Dissertation. Bogor Agricultural University. Bogor. 73pp. Kent, M. & Paddy, C. 1992. Vegetation description and analysis: A practical approach. Belhaven Press, London. 428 pp.

  Ketterings, Q.M., Coe, R., Noordwijk, M.V., Ambagau, Y. & Palm, C.A. 2001.

  Reducing uncertainty in the use of allometric biomass equations for predicting above ground tree biomass in mixed secondary forests. Forest Ecology and Management 146: 199-209. Krisnawati, H., Adinugroho, W.C. & Imanuddin, R. 2012. Monographs: allometric models to predict trees biomass in different types of forest ecosystem in

  Indonesia. Research and Development Center for Conservation and Rehabilitation, Forest Research and Development Agency (FORDA). Bogor. Kumar, B.M., Rajesh, G. & Sudheesh, K.G. 2005. Above ground biomass production and nutrient uptake of thorny bamboo [Bambusa bambos (L.) Voss in the home gardens of Thrissur, Kerala. Tropical Agriculture 43 (1-2) : 51-56. Kusmana, C. 2017. Survey methods and vegetation data interpretation. Bogor: IPB Press. 68 pp. Malau, Y. D. P., Rahmawaty. & Riswan. 2013. Carbon stock estimation of above ground biomass (AGB) in agroforestry land in Langkat. Peronema Forestry

  Journal (2) 2: 106-110. Manuri, S., Brack, C., Nugroho, N.P., Hergoualc’h, K., Novita, N., Dotzauer, H.,

  Verchot, L., Putra, C.A.S. & Widyasari, E. 2014. Tree biomass equations for tropical peat swamp forest ecosystems in Indonesia. Forest Ecology and Management 334: 241-253.

Manuri, S., Brack, C., Noor’an, F., Rusolono., Anggraini, S.M., Dotzauer, H. &

  Kumara, I., 2016. Improved allometric equations for tree aboveground biomass estimation in tropical dipterocarp forest of Kalimantan, Indonesia. Forest Ecosystems (2016) 3:28. Masripatin, N., Ginoga, K., Pari, G. & Dharmawan, W.S. 2010. Carbon reserves in various forest and plant type in Indonesia. Research and Development Center on Climate Change and Policy. Bogor: FORDA. Maulana, S.I. 2009. Carbon density estimation in primary forest in Jayapura, Papua.

  Forestry Economic and Social Research (7) 4: 261-274. Mawazin & Subiakto, A. 2013. Species diversity and composition of logged over peat swamp forest in Riau. Indonesian Forest Rehabilitation Journal 1(1): 59-73.

  Ministry of Law and Human Rights of the Republic of Indonesia. 2007. The Law of the Republic of Indonesia No. 26 (2007) on spatial planning. Jakarta: Ministry of Law and Human Rights of the Republic of Indonesia. 95 pp. Ministry of Public Works. 2008. Guidelines for green open space provision and utilisation in urban areas. No. 05 / PRT / M / 2008. Jakarta: The Directorate

  General of Spatial Planning, Ministry of Public Works. 84 pp. Ministry of Forestry. 2009. Regulation of the Minister of Forestry of the Republic of Indonesia No. 71 (2009). The implementation guidelines of urban forest.

  Jakarta. Mugiono, I. S. 2009. Allometric from various type of tree for estimating biomass and carbon content in community forest. BPKH Wilayah XI Jawa-Madura and

  Forest Governance and Multi stakeholder Forestry Programme (MFP II). Yogyakarta.

  Pradiptiyas, D. 2011. Analysis of green open space adequacy as an absorbing CO

  2

  emission in urban using stella program (case study: in North Surabaya and East Surabaya). Thesis. Environmental Engineering Institute of Teknologi Sepuluh Nopember Surabaya. Surabaya.

  Rauf, A. 2004. Assessment of system and optimization agroforestry land use in Gunung Leuser National Park buffer zone. Dissertation. Bogor Agricultural Institute, Bogor.

  Rawat, J.S. & Banerjee, S.P. 1996. Urban forestry for improvement of environment.

  Energy Environment Monitor 12(2): 109-116. Regional Development Planning Board of Medan City. 2011. Medan City spatial management planning related to regional land uses (2011

  • –2031) No. 13 (2011). Regional Development Planning Board of Medan City, Medan. 41 pp.

  Shannigrahi, A.S., Sharma, R.C. & Fukushima, T. 2003. Air pollution control by optimal green belt development for Victoria Memorial Monument, Kolkata (India). International Journal of Environmental Studies 60(3): 241-249.

  Sukoco, M. 1990. Regional planning cartography. Forum Geography. Indonesian Journal of spatial and Regional Analysis 4 (2):1990. The Government of the Republic of Indonesia. 2002.

The Indonesian Government’s (2002) Regulation No. 63 about urban forests. Jakarta

  Zmelik, K., Schindler, S. & Wrbka, T. 2011. The European green belt: International collaboration in biodiversity research and nature conservation along the former Iron Curtain. Innovation: The European Journal of Social Science Research 24(3): 273-294.