Sains Malaysiana 46(3)(2017):
421–428
http://dx.doi.org/10.17576/jsm-2017-4603-09
Respons Fenologi Tumbuhan terhadap Taburan Hujan
di Johor Menggunakan Data Indeks Tumbuhan Satelit MODIS-Aqua
(Vegetation Phenology Response towards Rainfall
Distribution using MODIS-Aqua
Vegetation Satellite Index Data)
AMIRAH AUDADI MADZEN*
& LAM KUOK CHOY
Pusat Pengajian Sosial, Pembangunan &
Persekitaran, Fakulti Sains Sosial dan Kemanusiaan
Universiti Kebangsaan Malaysia, 43600 UKM
Bangi, Selangor Darul Ehsan, Malaysia
Diserahkan: 27 November 2015/Diterima: 23
Jun 2016
ABSTRAK
Fenologi tumbuhan
menggambarkan fasa kitaran hidup atau aktiviti tumbuhan dan adalah
penting untuk memahami interaksinya dengan iklim. Kajian dilakukan
untuk mengenal pasti respons fenologi tumbuhan dan metrik fenologi
hutan dipterokarpa, kelapa sawit dan pokok getah menggunakan data
indeks tumbuhan Enhanced Vegetation Index (EVI)
daripada MODIS-Aqua (produk MYD13Q1) dan purata hujan bulanan
sepanjang tahun 2007 dan 2009 di negeri Johor. Pola hujan pada tahun
2007 menunjukkan taburan hujan normal, manakala tahun 2009 mengalami
kekurangan hujan sepanjang tempoh sebelas tahun (2000-2010). Hasil
mendapati tren EVI
hutan dipterokarpa lebih bervariasi pada 2009 dengan
nilai EVI antara
0.39-0.64 berbanding tren pada 2007 yang konsisten dengan nilai
EVI antara
0.33-0.57. Tren fenologi kelapa sawit pada 2007 lebih kerap mengalami
turun naik berbanding pada 2009, masing-masing dengan EVI antara
0.45-0.71 dan 0.5-0.74. Corak fenologi pokok getah pada kedua-dua
tahun kajian adalah sama dan julat EVI pada 2009 adalah lebih kecil berbanding
2007, masing-masing dengan EVI antara 0.39-0.62 dan 0.30-0.73.
Pengaruh masa susulan ke atas tahap kehijauan
tumbuhan telah dikesan, khususnya selepas peristiwa hujan lebat
dalam dua tahun tersebut dan sedikit sebanyak mempengaruhi nilai
korelasi antara pemboleh ubah purata hujan bulanan dengan EVI tumbuh-tumbuhan. Permulaan
dan pengakhiran musim pertumbuhan hutan dipterokarpa bagi kedua-dua
tahun berlaku dalam bulan yang sama,
iaitu Februari (permulaan musim) dan Disember (pengakhiran musim).
Tidak wujud perbezaan yang ketara antara panjang musim pertumbuhan
kelapa sawit bagi kedua-dua tahun, iaitu hanya 32 hari lebih panjang
pada 2007 berbanding 2009. Musim pertumbuhan pokok getah pula adalah
lebih panjang pada 2007 dan lebih singkat pada 2009, masing-masing
176 hari dan 113 hari.
Kata kunci: EVI;
fenologi tumbuhan; metrik fenologi; MODIS; musim pertumbuhan
ABSTRACT
Vegetation phenology describes the
plant life cycle or activity and it is important to understand it's interactions with climate. This study was conducted
to identify plant phenological responses to average monthly rainfall
and to extract the phenology metrics for dipterocarp forest, oil
palms and rubber trees by using EVI vegetation indices from MODIS-Aqua
(product MYD13Q1) and an average of monthly rainfall for 2007 and
2009. Rainfall patterns in 2007 showed normal rainfall distribution
whilst in 2009 experienced less rain in a period of eleven years
(2000-2010). The result showed that the EVI of the dipterocarp forest is varied
in 2009 with EVI value ranges 0.39-0.64 compared to the more consistent
EVI values of 0.33-0.57 in 2007. The phenological trends
of oil palms fluctuate in 2007 compared to 2009 with EVI at
0.45-0.71 and 0.5-0.74, respectively. Phenological patterns of rubber
trees in both years showed similar trend and the EVI range of 2009 was smaller
than in 2007 with value of 0.39-0.62 and 0.30-0.73, respectively.
The effect of lag period on vegetations’ greenness was detected,
especially after heavy rain period in both years
which affects the correlation values between the average
rainfall and EVI. The start and end of growing
season of the dipterocarp forest for
both years occurred in February and December. There is no clear
difference between the lengths of season for oil palms in both years,
which is 32 days longer in 2007 compared to 2009. Length of season
for rubber tree is longer in 2007 and significantly shorter in 2009
at 176 and 113 days, respectively.
Keywords: EVI; growing season; MODIS;
phonological matrics; vegetation phenology
RUJUKAN
Ariffin
Tawang, Tengku Ariff Tengku Ahmad & Mohd. Yusof Abdullah. 2001.
Stabilization of upland agriculture under El Nino induced climatic risk: Impact
assessment and mitigation measures in Malaysia. Kertas kerja
No. 61. Bogor, Indonesia: CGPRT Centre.
Cadena, M.C., Devis-Morales, A., Pabon, J.D., Malikov, I.,
Reyna-Moreno, J.A. & Ortiz, J.R. 2006. Relationship
between the 1997/98 El Nino and 1999/2001 La Nina events and oil palm tree
production in Tumaco, Southwestern Colombia. Advances in Geosciences,
European Geosciences Union (EGU) 6: 195-199.
Corlett,
T.R. & Primack, R. 2005. Tropical Rain Forests: An Ecological and
Biogeographical Comparison. Malden, Massachusetts: Blackwell Science Ltd.
Elliot, S., Baker, P.J. & Borchert, R. 2006. Leaf
flushing during the dry season: The paradox of Asian monsoon forests. Global
Ecology and Biogeography 15: 248-257.
Farooq
Ahmad. 2012. Phenologically-tuned MODIS NDVI based time series (2000-2012) for
monitoring of vegetation and climate change in North-Eastern Punjab, Pakistan. Global Journal of Human Social Science Geography &
Environmental Geosciences 12(13): 1-19.
Han, Q.
2012. Remote sensing-based quantification of spatial and temporal variation in
canopy phenology of four dominant tree species. Tesis Ijazah Sarjana, Faculty of Geo-information Science and Earth
Observation, University of Twente (tidak diterbitkan).
Jabatan Perancangan Bandar dan Desa Semenanjung Malaysia. 2012. Laporan
Guna Tanah 2012: Guna Tanah Semasa Rancangan-rancangan Tempatan Negeri Johor.
Menzel, A.,
Sparks, T.H., Estrella, N., Koch, E., Aasa, A., Ahas, R., Alm-Kübler, K.,
Bissolli, P., Braslavskà, O., Briede, A., Chmielewski, F.M., Crepinsek, Z.,
Curnel, Y., Dahl, A.S., Defila, C., Donnelly, A., Filella, Y., Jatczak, K.,
Måge, F., Mestre, A., Nordli, O.Y., Peñuelas, J., Pirinen, P., Remišová,
V., Scheifinger, H., Striz, M., Susnik, A., Van Vliet, A.J.H., Wielgolaski,
F.E., Zach, S. & Zust, A. 2006. European phenological response to climate
change matches the warming pattern. Global Change Biology 12(10):
1969-1976.
Muhammad Rizal & Tsan, F.Y. 2008. Rainfall impact on oil palm production and OER at Felda Triang 2. Universiti Teknologi MARA (UiTM). http://versys.uitm.edu.my/prisma/view/
viewPdf.php?pid=15908. Diakses pada
10 Mac 2015.
Moreau, I.
& Defourny, P. 2012. The vegetation phenology detection
in Amazon tropical evergreen forests using SPOT-VEGETATION 11-y time series. Geoscience and Remote Sensing Symposium (IGARSS), IEEE International July
22-27.
Ng, F.S.P., Low, C.M. & Mat Asri, N.S. 1990. Endemic Trees of the Malay Peninsular. Research Pamphlet No. 106. Forest Research Institute
Malaysia.
Nur Munirah Abdullah,
Mohd Ekhwan Toriman, Haslinur Md. Din, Nor Azlina Ab. Aziz, Mohd Khairul Amri
Kamarudin, Nurul Syazwani Abdul Rani, Frankie Marcus Ata, Mohd Hafiz Saad,
Noraini Wahida Abdullah, Mushrifah Idris & Nor Rohaizah Jamil. 2013.
Pengaruh faktor keruangan dan masa dalam menentukan kadar pintasan hujan di kanopi hutan dipterokarpa, Tasik Chini, Pahang. The Malaysian Journal of Analytycal Science 17(1): 11-23.
Phompila, C., Lewis,
M., Clarke, K. & Ostendorf, B. 2014. Monitoring temporal vegetation changes in Lao tropical
forests. IOP Conf. Series: Earth and Environmental Science 20: 755-1315.
Puah, P.W. &
Madihah Jaafar Sidek. 2011. Impacts of rainfall, temperature and recent El Niños on fisheries and
agricultural products in the West Coast of Sabah (2000-2010). Borneo Science 28(3): 73-85.
Ramli Abdullah & Mohd Basri Wahid.
2011. World palm oil supply, demand, price and prospect: Focus on Malaysian and
Indonesian palm oil industry. Malaysia Palm Oil Board (MPOB). http://mpoc.org.my/upload/ Wo r l d P a l m O i l _ S u p p l y D e m a n d P r
i c e P r o s p e c t s _ MalaysianIndonesianIndustry_FullReport.pdf. Diakses pada 2 Februari 2015.
Senf, C., Pflugmacher,
D., Linden, S. & Hostert, P. 2013. Mapping rubber plantations and natural forests in
Xishuangbanna (Southwest China) using multi-spectral phenological metrics from
MODIS time series. Remote Sensing 5: 2795-2812.
Sakai, S. 2001. Phenological
diversity in tropical forests. The Society of Population Ecology and
Springer-Verlag Tokyo 43: 77-86.
Sharifah Haslinda. 2011. Analisis
keberkesanan penuaian air hujan di Zoo Negara, Hulu Klang, Selangor. Latihan
Ilmiah, Fakulti Kejuruteraan Awam, Universiti Teknologi Malaysia (tidak
diterbitkan).
Sykes, M.T. 2009. Climate Change
Impacts: Vegetation. Encyclopedia of Life Sciences (ELS). Chichester: John Wiley & Sons, Ltd.
Tan, B., Morisette,
J.T., Wolfe, R.E., Gao, F., Ederer, G.A., Nightingale, J. & Pedelty, J.A.
2008. Vegetation
phenology metrics derived from temporally smoothed and gap-filled MODIS data. IGRSS 2008. pp. 593-596.
Van Shaik, C.P.,
Terborgh, J.W. & Wright, S.J. 1993. The phenology of tropical forests: Adaptive significance
and consequences for primary consumers. Annual Review of Ecology and
Systematics 24: 353-377.
Williams, L.J., Bunyavejchewing, S. &
Baker, P.J. 2008. Deciduousness in a seasonal tropical forest
in Western Thailand interannual and intraspecific variation in timing, duration
and environmental cues. Oecologia 155: 571-582.
Yu, X., Wang, Q., Yan,
H., Wang, Y., Wen, K., Zhuang, D. & Wang, Q. 2014. Forest phenology
dynamics and its responses to meteorological variations in Northeast China. Advances in Meteorology 2014: Article ID. 592106.
Zhang, X., Friedl,
M.A., Schaaf, C.B., Strahler, A.H., Hodges, J.C.F., Gao, F., Reed, B.C. &
Huete, A. 2003. Monitoring vegetation phenology using MODIS. Remote Sensing of Environment 84:
471-475.
*Pengarang untuk
surat-menyurat; email: amirahaudadimadzen@yahoo.com
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