The spatial dynamics of land cover change along the Wallacea corridor in the key biodiversity area ‘Buano Island’, Maluku, Indonesia

Bokiraiya Latuamury; Hendrik S E S Aponno; Husain Marasabessy; Miranda H Hadijah; Wilma N Imlabla

doi:10.15243/jdmlm.2020.074.2241

The spatial dynamics of land cover change along the Wallacea corridor in the key biodiversity area ‘Buano Island’, Maluku, Indonesia

Bokiraiya Latuamury, Hendrik S E S Aponno, Husain Marasabessy, Miranda H Hadijah, Wilma N Imlabla

J. Degrade. Min. Land Manage. , pp. 2241-2251

Viewed : 616 times

DOI https://doi.org/10.15243/jdmlm.2020.074.2241

Abstract

Land cover change is an urgent global issue that needs to be addressed immediately. Its dynamics are of the greatest importance to Key Biodiversity Areas (KBAs) along the Wallacea Corridor, including Buano Island, whose land and sea are rich in biodiversity. KBA Buano Island is home to endemic and endangered birds, such as Moluccan scrubfowl (Eulipoa wallacei) and black-chinned monarch (Monarcha boanensis). Black-chinned monarch only lives on the island (single-site species). Buano waters have an interestingly diverse life, including dugong (Dugong dugon), hawksbill turtle (Eretmochelys imbricata), loggerhead turtle (Caretta caretta), and many species belonging to the dolphin family (Delphinidae) and beaked whale family (Ziphiidae). This study was designed to analyze and map the spatial-temporal patterns of land cover changes on Buano Island. It employed a multi-temporal analysis on Landsat images from 1970, 1980, 1990, 2000, 2010, until now, and a t-test to analyze the results further. The t-test analysis produced t-count ≥ t-table at confidence level (α) of 0.05, indicating significant changes in land cover from 1970, 1980, 1990, 2000, 2010, until 2016. These multitemporal-spatial dynamics were attributable to fluctuation in population growth and open and straightforward access between the island and the capital of the regency. Furthermore, from the aspect of fishery and maritime affairs, Buano Island already had synergistic land area development.

Keywords

Buano Island; land cover change; spatial dynamics; the Wallacea corridor

Full Text:

PDF

References

Barbier, E.B. and Bugas, J.S. 2003. Policies for Controlling Resource Conservation and Biodiversity Loss Accounting for the Effects of Corruption and Land Use Interactions. Paper prepared for the 4 BioEcon Workshop on the Economics of Biodiversity Conservation,“Economic Analysis of Policies for Biodiversity Conservation”, Venice, Italy, 28-29 August

Fan, F., Wang, Y. and Wang, Z. 2008. Temporal and spatial change detecting (1998-2003) and predicting of land use and land cover in Core corridor of Pearl River Delta (China) by using TM and ETM+ images. Environmental Monitoring and Assessment 137(2): 127-147, doi: 10.1007/s10661-007-9734-y.

Jorgenson, A.K. and Burns, T.J. 2007. Effects of Rural and Urban Population Dynamics and National Development on Deforestation in Less‐Developed Countries, 1990–2000. Sociological Inquiry, doi: 10.1111/j.1475-682X.2007.00200.x.

Koomen, E. and Stillwell,J., 2007. Modelling Land-Use Change: theories and methods. In: Koomen, E., Stillwell, J., Bakema, A., Scholten, H.J. (eds.), Modelling Land-Use Change: Progress and Application, Springer, doi: 10.1007/978-1-4020-5648-2_1.

Lambin EF, Geist HJ, Lepers E., 2003. Dynamics of landuse and land-cover change in tropical regions. Annual Report of Environment Resource 28:205Repo.

Lima, A., Silva, T.S.F., de Aragao, L.E.O.C., de Feitas, R.M., Adami, M., Formaggio, A.R. and Shimabukuro, Y.E. 2012. Land use and land cover changes determine the spatial relationship between ﬁre and deforestation in the Brazilian Amazon. Applied Geography 34: 239e246, doi: 10.1016/j.apgeog.2011.10.013.

Liu, G., Jin, Q., Li, J., Li, L., He, C., Huang, Y. and Yao, Y. 2017. Policy factors impact analysis based on remote sensing data and the CLUE-S model in the Lijiang River Basin, China. Catena 158: 286-297, doi: 10.1016/j.catena.2017.07.003.

Monteiro Junior, J.J., Silva, E.A., Reis, A.L.A. and Santos, J.P.M.S. 2019. Dynamical spatial modeling to simulate the forest scenario in Brazilian dry forest landscapes. Geology, Ecology, and Landscapes 3(1): 46-52, doi: 10.1080/24749508.2018.1481658.

Silva, R.M., Santos, C.A.G., Maranhao, K.U.A., Silva, A.M. and Lima, V.R.P. 2018. Geospatial assessment of eco-environmental changes in desertiﬁcation area of the Brazilian semi-arid region. Earth Science Research Journal 22(3): 175-186, doi: 10.15446/esrj.v22n3.69904.

von Amsberg, J. 1994. Economic parameters of deforestation (English). Policy, Research Working paper; no.WPS 1350. Washington, DC: World Bank. http://documents.worldbank.org/curated/en/113261468740984341/Economic-parameters-of-deforestation.