Sains Malaysiana 48(11)(2019): 2317–2324
http://dx.doi.org/10.17576/jsm-2019-4811-03
Spatio-Temporal Changes in Vegetation Net
Primary Productivity and Its Responses to Climatic Factors in Jiangsu
Province, Eastern China
(Perubahan Ruang-Masa dalam Keberhasilan Primer Bersih Vegetasi dan Responsnya
terhadap Faktor
Iklim di Wilayah Jiangsu, China Timur)
CHENG LI1,2,
RANGHUI
WANG2*
& MOU LEONG TAN3
1Department of Ecology,
School of Horticulture and Plant Protection, Yangzhou University,
225009 Yangzhou, Jiangsu, China
2Jiangsu Key Laboratory
of Agricultural Meteorology, Collaborative Innovation Center of
Atmospheric, Environment and Equipment Technology, Nanjing University
of Information Science and Technology, 210044 Nanjing, China
3Geography Section,
School of Humanities, Universiti Sains
Malaysia, 11800 Pulau Pinang, Malaysia
Received: 31 March 2019/Accepted:
15 August 2019
ABSTRACT
Vegetation net primary productivity
(NPP) is an important indicator in determining the ecological
functions and carbon cycle of terrestrial ecosystems. As an important
part of Chinese Yangtze River Delta region, Jiangsu is one of main
grain producing areas in China. Therefore, understanding of spatio-temporal
changes in NPP has a practical significance to ensure ecological sustainability
in this region. In this study, we used satellite-based vegetation
productivity model, the Carnegie-Ames-Stanford Approach (CASA)
to assess spatio-temporal variations in
NPP
and analyzed the relationships between NPP and climatic factors over
Jiangsu. The results showed that annual mean NPP reached
up to 745.26 ± 69.21 g C m-2 year-1,
with high NPP values mainly in the central and southwestern regions.
Besides that, annual mean NPP increased from 2000 to 2015,
with a rate of 6.54 g C m-2 year-1.
The increasing trends with higher changing rate were mainly found
in the northern regions of Jiangsu, whereas the decreasing trends
were mainly found in central and southern Jiangsu. Moreover, the
correlation analysis indicated that the mean temperature and total
precipitation in spring had a significant relationship with the
corresponding NPP in most part of Jiangsu. The
findings will have an important significance for improving the ecosystem
management in Jiangsu.
Keywords: CASA model;
climatic factors; Jiangsu; net primary productivity
ABSTRAK
Produktiviti primer
bersih vegetasi
(NPP)
adalah satu
petunjuk penting yang menunjukkan fungsi ekologi dan kitaran
karbon dalam
ekosistem daratan. Jiangsu merupakan kawasan penting bagi Delta Sungai Yangtze
China, iaitu salah
satu kawasan penghasil
gandum utama
di China. Justeru, pemahaman perubahan ruang-masa dalam NPP mempunyai
kepentingan praktikal
untuk memastikan kelestarian ekologi di kawasan ini. Dalam
kajian ini,
kami menggunakan model produktiviti vegetasi berasaskan satelit, iaitu Carnegie-Ames-Stanford
Approach (CASA) untuk
menilai variasi
ruang-masa dalam NPP serta menganalisis hubungan antara NPP dengan faktor iklim
di Jiangsu. Keputusan kajian
menunjukkan purata
tahunan NPP mencapai
745.26 ± 69.21 g C m-2 tahun-1,
dengan nilai
NPP
yang lebih tinggi
didapati di kawasan tengah dan barat
daya. Selain
itu, nilai purata
tahunan NPP meningkat
dari tahun 2000
sehingga 2015 pada kadar 6.54 g C m-2 tahun-1.
Kadar peningkatan yang lebih
besar berlaku
terutamanya di kawasan utara wilayah Jiangsu, manakala tren penurunan
didapati di kawasan
tengah dan selatan
Jiangsu. Di samping itu,
analisis korelasi menunjukkan bahawa purata suhu dan
jumlah hujan
tahunan mempunyai hubungan positif yang signifikan dengan NPP di
sebahagian besar
kawasan Jiangsu. Penemuan ini penting untuk
meningkatkan pengurusan
ekosistem di Jiangsu.
Kata kunci: Faktor
iklim; Jiangsu; keberhasilan
primer bersih; model CASA
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*Corresponding author; email: rhwang@nuist.edu.cn
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