Abstract
Purpose – Deforestation is one of the Global Forests issues that concern the United Nations (UN) for several decades and it thus leads to a vision of increasing the forestland area by 2030 that is the same size as South Africa. With this concern, spatiotemporal data analysis had been an effective way to visualize and represent the area that have been damaged and affected with the integration of the use of Geographical Information System. The National Greening Program (NGP) of the Philippines is in charge of the rehabilitation of unproductive, denuded and degraded forestlands in every province. Method – Using the spatiotemporal data in the form of shapefiles, predictors that could contribute on how the forestland may be rehabilitated were analysed and foreseen. Also, with the analysis stage of Artificial Neural Network (ANN) with Back Propagation, a forecasting model was identified. Result – It has been determined that with the combination of ANN and Spatiotemporal visualization, possible additional increase in the size of the rehabilitated forestland and its representation can be done efficiently. Conclusion – Thus, the finding may be used as a helpful way for the NGP for forestland rehabilitation and reforestation strategic planning and resource management. Practical Implications – A dynamic and interactive web application may be implemented to monitor implementation of the program. Furthermore, public awareness may be initiated about the importance of forestland.
Highlights
A keynote from the United Nations (UN) during the International Day of Forests, 2019, stated that a country’s economic growth and social development is impacted by how rich and wide forests are growing in that place
The Philippines’ response to this concern was initiated collaboratively by the Department of Environment and Natural Resources (DENR) along with the establishment of National Greening Program under DENR Memorandum Circular (DMC) No 2011-01 which has been expanded through the Executive Order (EO) No 193 s. 2015 known as “The Expanded National Greening Program”, propagates the agenda and vision to plant 1.5 billion of seedlings covering 7.1 million hectares of unproductive, denuded and degraded forestlands all over the country which is in support to government priority program to reduce poverty, sustain food supplies, protect biodiversity, and improve climate change mitigation and implementation from year 2016 to 2028
From the data provided by the National Greening Program, significant factors and predictors were identified using the Ranker method of WEKA, on which the multilayer perceptron was applied and the forecasting model was derived through Artificial Neural Network with Back-Propagation Algorithm
Summary
A keynote from the United Nations (UN) during the International Day of Forests, 2019, stated that a country’s economic growth and social development is impacted by how rich and wide forests are growing in that place. Forests serve as protection and buffer from natural disasters such as flood and erosions, and are crucial for combating climate change (United Nations, 2018; Storch, Dormann, & Bauhus, 2018). One of the Sustainable Development Goals (SDG) boosted by the United Nations which is “Life on Land” promotes and emphasizes the importance and role of forests worldwide which leads to a vision to increase and inflate global forests by 2030, to 120 million hectares which is similar to the size of South Africa, was discussed during the UN Forum on Forests on January 20, 2017 along with 197 Member States including Philippines (United Nations, 2017). 2015 known as “The Expanded National Greening Program”, propagates the agenda and vision to plant 1.5 billion of seedlings covering 7.1 million hectares of unproductive, denuded and degraded forestlands all over the country which is in support to government priority program to reduce poverty, sustain food supplies, protect biodiversity, and improve climate change mitigation and implementation from year 2016 to 2028
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