Land change-based forest management scenario in the typology of island clusters in Maluku Province, Indonesia
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Abstract. Papilaya PPE, Jaya INS, Rusolono T, Puspaningsih N. 2021. Land change-based forest management scenario in the typology of island clusters in Maluku Province, Indonesia. Biodiversitas 22: 3756-3763. This study aims to describe the development of forest area utilization scenarios with biophysical, social and spatial trend approaches. In this study, spatial trends were identified using forest and land cover maps from 2000 to 2018, and the methods used include change detection, spatial trend and overlay. The study was designed using forest cover scenarios along with spatial trends and social and biophysical approaches. The results of the 5 typologies of island clusters analysis showed that forest degradation has occurred in an area of ± 77102 ha between 2000 and 2018 with an average of 4283.4 ha/year. Furthermore, Total Land Cover Loss at the location of the five island cluster typology for 18 years was found to be ± 422805 Ha with an average of ± 23489.06 ha/year. The land capability was categorized into 3 classes. Therefore, the five spatial trends were known to form in the typology of five island clusters with different directions and magnitudes.
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Agroconsultores C. 1991. Carta de solos, carta do uso actual da terra e carta de aptidão da terra do nordeste de Portugal. Universidade de Trás-os-Montes e Alto Douro. Projecto de desenvolvimento rural integrado de Trás-os-Montes e Alto Douro (PDRITM).
Baja S. 2012. Land Use in Regional Development with Spatial Approach and Application. Yogyakarta. [Indonesian]
BAPPEDA. 2013.Regional Spatial Plan of Maluku Province 2007-2037. Provincial Government of Maluku, Ambon. [Indonesian]
Bottero M, Comino E, Duriavig M, Ferretti V, Pomarico S. 2013. The application of a Multicriteria Spatial Decision Support System (MCSDSS) for the assessment of biodiversity conservation in the Province of Varese (Italy). Land use policy 30, 730–738.
Briguglio L. 1995. Small island developing states and their economic vulnerabilities. Word Dev. 23 (9), 1615–1632.
Chase TN. Pielke RA, Kittel TGF, Nemani RR, Running SW,1999. Simulated impacts of historical land cover changes on global climate in northern winter. Clim. Dyn. 16, 93–105. doi:10.1007/s003820050007.
Chen I, Hill JK, Ohlemuller R, Roy DB, Thomas CD (2011) Rapid range shifts of species associated with high levels of climate warming. Science, 333, 1024–1026.
European Commission Environment, 2016. Land Degradation, Climate Change and Migration: Challenges for the Eu and Africa, 2016. Land Is a Resource. https://ec. europa.eu/environment/land_use/index_en.htm. (Accessed 19 March 2020).
FAO 2015. Global Forest Resources Assessment 2015. Food and Agriculture Organization of the United Nations, Rome.
Feick RD, Hall GB. 2001. Balancing consensus and con?ict with a GIS-based multi- participant, multi-criteria decision support tool. GeoJournal 53 (4), 391–406.
Fei Y, Kali E, Sawaya, Loeffelholz BC, Bauer ME. 2005. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing, Remote Sensing of Environment (98)317 – 328.
Ghozali I. 2018. Multivariate Analysis Application with IBM SPSS 25 9th Edition Program. Diponegoro University Publishing Board
Koontz TM. 2005. We ?nished the plan. So now what? Impacts of collaborative sta- keholder participation on land use policy. Policy Stud. J. 33, 459–481
Köhl M, Lasco R, Cifuentes M, Jonsson O, Korhonen K, Mundhenk P, de Jesus Navar J, Stinson G. 2015. Change in forest production, biomass and carbon, results from the 2015 UN Global Forest Resources Assessment. For. Ecol. Manag. 352,21–34. https://doi.org/10.1016/j.foreco.2015.05.036
Lamarque P, Quétier F, Lavorel S. 2011. The diversity of the ecosystem services concept and its implications for their assessment and management. C R Biol 2011;334:441–9, http://dx.doi.org/10.1016/j.crvi.2010.11.007.
Lindenmayer DB, Franklin JF, Lõhmus A, Baker SC, Bauhus J, Beese W, Brodie A, Kiehl B, Kouki J, Pastur GM, Messier C, Neyland M, Palik B, Sverdrup-Thygeson A, Volney J, Wayne A, Gustafsson L, 2012. A major shift to the retention approach for forestry can help resolve some global forest sustainability issues. Conserv. Lett. 5, 421–431.
Lourenço IB , Guimara~es LF, Alves MB, Miguez MG 2020. Land as a sustainable resource in city planning: The use of open spaces and drainage systems to structure environmental and urban needs. Journal of Cleaner Production. Volume 276, 10 December 2020, 123096. https://doi.org/10.1016/j.jclepro.2020.123096
Mabasa MA, Makhubele JC. 2016. Impact of deforestation on sustainable livelihoods in low-resourced areas of Thulamla Local Municipality: implications for practice. J. Hum. Ecol. 55, 173–182. doi:10.1080/09709274.2016.11907021.
Nadeu CP, Urban MC, Bridle JR 2016. Coarse climate change projections for species living in a fine?scaled world. Global Change Biology (2016), doi: 10.1111/gcb.13475
Pinto RC. 2010. Veri?cação de aptidão de áreas selecionadas para instalação de parque de lazer no Município de Paranaguá-PR utilizando-se de sistemas de informações geográ?cas. Geoingá: Revista do Programa de Pós-Graduação em Geogra?a 2 (1), 83–104 available at: http://periodicos.uem.br/ojs/ index.php/Geoinga/article/view/14964/8398 (assessed 02.06.13).
Polido A, JoAo E, Tomas B, Ramos B. 2014. Sustainability approaches and strategic environmental assessment in small islands: An integrative review. Journal of Oceana Coastal Management. 96(8) : 138-148. http://dx.doi.org/10.1016/ j.ocecoaman.2014.05.005.
Prakasam C. 2010. Land use and land cover change detection through remote sensing approach: A case study of Kodaikanal taluk, Tamil nadu, International Journal Of Geomatics And Geosciences Volume 1, No 2.
Rocha J.S.M., Kurtz, S.M.J.M., 2001. Manual de manejo integrado de bacias hidrográ?cas, vol. 282 . Editora da UFSM, Santa Maria (in Portuguese).
Simon, H. 1993. Metode Inventore Hutan. Aditya Media. Yogyakarta.
Stanturf J, Palik B, Dumroese RK. 2014. Contemporary forest restoration, a review emphasizing function. For. Ecol. Manag. 331, 292–323. https://doi.org/10.1016/j.foreco.2014.07.029
Sun T , Feng, Z., Yang, Y , Lin, Y, Wu Y. 2018. Research on land resource carrying capacity: progress and prospects. J. Res. Ecol. 9 (4), 331e340. https://doi.org/10.5814/j.issn.1674-764x.2018.04.001.
Veldkamp A, Lambin EF, 2001. Predicting land-use change. Agric. Ecosyst. Environ. 85, 1–6.
Widarjono Agus. 2010. Analisis Statistika Multivatiate Terapan.Yogyakarta: UPP STIM YKPN.
Yamin S, Heri K. 2009. SPSS Complate Complete Statistical Analysis Technique with SPSS Software. Jakarta: Salemba Infotek [Indonesian]
Zekâi ?. 2017. Innovative Trend Methodologies in Science and Engineering. © Springer International Publishing AG 2017. Pg.3. DOI 10.1007/978-3-319-52338-5.
Zhang YJ, Li AJ, Fung T. 2012. Using GIS and multi-criteria decision analysis for con?ict resolution in land use planning. Procedia Environ. Sci. 13, 2264–2273
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