Changes in the Philippine Coastal Environment

Global warming is progressing at a faster speed than has been estimated earlier in climate forecasting, and the ocean responds rather quickly to global temperature increase. This study uses remotely sensed data that were accessed from the System for Multidisciplinary Research and Applications (NASA Giovanni) to study environmental change in the Philippines’ coast. Monthly averaged sea surface temperature series from around the Philippines indicate that the Philippines follow the global trend in ocean temperature increase and show the increase of about 0.50C within two decades. Despite the high variability in temperature, the linear regressions displayed for all seasons show an increase with variations in the range of 0.30C to 0.50C. Rainfall in the Philippines is connected to the local and remote sea surface temperature, and the monsoon seasons determine to a high degree the rate and volume of precipitation. The data provide evidence that large-scale processes change the level of precipitation, in particular, with respect to the interannual changes and variations that appear to be in the frequency range of El Nino events. The highest rate in sea surface temperature increase is observed for the June to August season with an estimated value of 0.0360C y-1 and lowest rate is observed for the December to February season at about 0.0270C y-1 . These estimates are based on linear regressions, but the 3rd order polynomial showed variability at decadal time scales and the results provide an estimate of possible future changes. By using estimates for 2020 and 2050 it can be projected that within thirty years, an additional temperature increase of 1.80C can be expected in the Philippines’ coastal waters

Forecasting Urban Expansion in the Seven Lakes Area in San Pablo City, Laguna, the Philippines Using the Land Transformation Model

Managing urban growth is essential to the conservation of the Seven Lakes ecosystem in San Pablo City, Laguna province in the Philippines. This study simulates potential conversion of agricultural lands to built-up areas using the land transformation model (LTM), which integrates geographical information systems (GIS) and an artificial neural network (ANN). Historical drivers of the expansion of built-up areas are identified and validated through the application of LTM to land cover maps from 1988 to 2015. Identified drivers include distance to roads, distance to trails, distance to the Seven Lakes, distance to existing built-up areas, slopes and population density per barangay. Results from the percent correct matrix (PCM) were 79.88 per cent for the 1988–2003 runs and 66.42 per cent for the 2003–2015 runs, while the Kappa statistic for both time periods was higher than 0.60, which indicates high levels of agreement. Forecasted scenarios were business-as-usual (BAU) growth, doubled growth and strict law implementation protecting the vicinity around the Seven Lakes and other natural areas. In the BAU scenario, urban expansion spread out along the road networks. The doubled growth scenario showed that further expansion will likely extend around the proximity of the lakes, which may adversely affect the livelihoods of the local fishing communities. As such, it was recommended that preventive measures, such as strict implementation of buffer zones coupled with regular monitoring, be taken to manage land use in the surrounding lake areas

A supply chain framework for characterizing indirect vulnerability

Purpose Climate vulnerability assessments are often operationalized by the analysis of indicators defined by the spatial boundaries of the community under study. These, however, sometimes fail to capture interdependency among communities for basic resources. This paper aims to propose a framework for characterizing vulnerability caused by interdependency by adapting a supply chain lens. Design/methodology/approach The paper proposes a definition for “indirect vulnerability” that recognizes the transboundary and teleconnected nature of vulnerability arising from resource networks among cities and communities. A conceptual framework using a supply chain approach is presented for climate hazards in particular. This approach is then demonstrated through a rapid appraisal of the rice, energy and water supply chains and the waste management chains of Metro Manila. Findings The application of the supply chain lens to assessing the indirect vulnerability of Metro Manila brings to fore issues extending beyond the decision-making boundaries of local government units. Addressing these will require vertical government coordination and horizontal inter-sectoral collaboration. Thus, this supply chain-based indirect vulnerability assessment can be complementary to traditional vulnerability assessments in providing a larger systems perspective. Originality/value Innovative tools are needed to make community vulnerability assessments both holistic and tractable. Existing methods in the private sector can be adapted rather than reinventing the wheel. This supply chain framework can be a useful decision support and planning tool across governance levels to comprehensively address vulnerability

Developing an Open Database to Support Forensic Investigation of Disasters in South East Asia: FORINSEA v1.0

This article describes the development of a bespoke database, FORINSEA1.0, created to address the need for a systematic curation of information needed for the descriptive phase of the FORIN approach and its application to two study areas in the South East Asia region. FORINSEA1.0 allows researchers, for the first time, to explore and make use of subnational, geocoded data on major disasters triggered by natural hazards (flooding, earthquake, landslide and meteorological hazards) since 1945 until 2020 in the hydrological catchment of the Red River in Vietnam and the Marikina Basin in the Philippines. FORINSEA1.0 also contains relevant subnational information on relevant socio-economic policies and development of key infrastructure to provide the basis of the descriptive FORIN analysis. While the catchment approach is potentially transferable to other regions, this Data Report does not show how these records might be applied or integrated to support a FORIN investigation of a specific disaster or event, neither provide basic ground rules for setting up similar systems in other countries

Design of a Remote Real-time Groundwater Level and Water Quality Monitoring System for the Philippine Groundwater Management Plan Project

Recent technological advances allow us to utilize remote monitoring systems or real-time access of data. While the use of remote monitoring systems is not new, there are still numerous applications that can be explored and improved on, one such is groundwater level and quality monitoring. In the Philippines, the extraction of groundwater for both domestic use and industrial use are manually monitored by the government’s concerned agency and is done at least once per year. With this current setup, the real and significant state of the groundwater is not reflected in a way that is most valuable to the government and to the community. This project aims to design and develop a remote real-time groundwater level and quality monitoring system. It is intended to provide quantitative data for policy makers in addressing recurrent water shortages in the Philippines. This paper discusses the designed system composed of three modules: power module, sensors and control, and data visualization. These three modules provide real-time data from far-flung locations while being energy-sustainable. Dry runs of the system in a controlled environment yielded excellent results — average data accuracy of 96.63% for all six (6) groundwater quantity and quality parameters namely: pH, temperature, electrical conductivity, total dissolved solids, salinity, and static water level (SWL), and 90.63% data transmission reliability. Initial deployment of the system on one of the groundwater monitoring well in Metro Manila, Philippines returned a 91.16% data transmission reliability. The system is currently installed in 20 groundwater monitoring sites all-over the Philippines and is scheduled for more installations

Software and Data Visualization Platform for Groundwater Level and Quality Monitoring System

Rapid urbanization and increasing population come with the increased extraction and use of groundwater resources. To track the effect of these activities on groundwater level and quantity; a system for real-time monitoring is devised. In this paper; we present a software system design that enables a locally-developed groundwater level and water quality monitoring hardware setup to gather water quality parameter data; send it to a cloud server; and present organized data for better visualization. The hardware setup consists of an Arduino microcontroller. Upon deployment; the hardware setup is linked to an Android application that connects to the web-based platform

Simulating national-scale deforestation in the Philippines using land cover change models

After the year 2010, a century of rapid decline in Philippine forest cover was reversed due to a deliberate National Greening Program (NGP). Drivers that can sustain or counter this increase can be better investigated through the help of land change models. However, such models are not yet in mainstream use for planning in the Philippines. Hence, this study used two models – FOREST-SAGE and GEOMOD – to simulate forest conditions based on anthropogenic drivers and to evaluate model applicability in the Philippines. The performance of each model was assessed using the root-meansquare error (RMSE), mean absolute error (MAE), Kappa, national average tree cover percentage, and common deforestation hotspots with reference datasets. Validation with Climate Change Initiative Land Cover dataset (CCI-LC) yielded similar results between the models: 2015 tree cover maps with RMSE of 22–25% tree cover, MAE of 10–12% tree cover, and moderate agreement with reference map based on Kappa (0.4–0.6); and 2010–2015 change maps with RMSE of 8–9% tree cover, MAE of 1–2% tree cover, and agreement due to chance based on Kappa (0.01–0.03). Validation with MODerate Resolution Imaging Spectroradiometer-Vegetation Continuous Field (MODIS-VCF) maps yielded similar MAE results (10% tree cover) between the models. Validating FOREST-SAGE end-time and change maps with MODIS-VCF yielded better RMSE results than GEOMOD (RMSE of 13% tree cover for FOREST-SAGE; 22% tree cover for GEOMOD). However, GEOMOD tree cover maps yielded better Kappa than FOREST-SAGE (0.60 for GEOMOD; 0.01 for FOREST-SAGE). Results suggest that FOREST-SAGE is more applicable in the Philippines for provincial extent studies that aim to quantitively track forest cover change, while GEOMOD is more applicable for national extent studies that use categorical data. Results also suggest that input parameter settings must be improved to simulate spatial distribution of forest cover

A Rapid Screening Method for Ecological Risks Posed by Different Land Use Intensities: Case Study of Marikina City’s River System

Land use plays an important role in environmental and sustainability research because of its potential contribution to ecosystem protection or degradation. However; most risk maps used in comprehensive land use planning only identify areas at risk; for example; to various geophysical or climate- and weather-related hazards. It would also be useful to identify land areas that pose a risk to ecological systems. In this study; a simplified method adapted from the source-habitat approach and the relative risk model was used to explore the potential ecologicalrisk of exposure to water pollutants posed by land uses on the river system in Marikina City. Geographic Information Systems (GIS) was used to relate the type and intensity of land use (the stressor/source) to the quality of the Marikina River system (the receptor/habitat) via proximity and drainage connections to the river system. The spatial processing of the risk components showed that overall; the Mixed-use Zones followed by the Socialized Settlement Zones posed the highest ecological risk to Marikina’s river system. The method developed can providestakeholders with a rapid screening approach to identify zones needing more comprehensive analysis in the process of land use planning and developing management policies that can help protect the river ecosystem

Heavy metal concentrations in soils and vegetation in urban areas of Quezon City, Philippines

Limited data have been published on the chemistry of urban soils and vegetation in the Philippines. The aim of this study is to quantify the concentrations of heavy metals (i.e., Cr, Ni, Cu, Zn, and Pb) in soils and vegetation in the urban landscape of Quezon City, Philippines, and to elucidate the relationships between soil properties and the concentration of heavy metals pertaining to different land uses [i.e., protected forest (LM), park and wildlife area (PA), landfill (PL), urban poor residential and industrial areas (RA), and commercial areas (CA)]. Soil (0–15 cm) and senescent plant leaves were collected and were analyzed for soil properties and heavy metal concentrations. Results revealed that the concentrations of heavy metals (i.e., Cr, Ni, Cu, Zn, and Pb) in urban soils were higher in areas where anthropogenic activities or disturbance (PL, RA, and CA) were dominant as compared to the less disturbed areas (LM and PA). Organic matter and available phosphorous were strongly correlated with heavy metal concentrations, suggesting that heavy metal concentrations were primarily controlled by these soil properties. The average foliar heavy metal concentrations varied, ranging from 0 to 0.4 mg/kg for Cd, 0–10 mg/kg for Cr, 2–22 mg/kg for Cu, 0–5 mg/kg for Pb, and 11–250 mg/kg for Zn. The concentrations of Cd and Cr exceeded the critical threshold concentrations in some plants. Leaves of plants growing in PL (i.e., landfill) showed the highest levels of heavy metal contamination. Our results revealed that anthropogenic activities and disturbance caused by the rapid urbanization of the city are major contributors to the heavy metal accumulation and persistence in the soils in these areas

Phytoplankton composition and diversity in response to abiotic factors in Lake Buhi, Camarines Sur, Philippines

Phytoplankton were collected from eight sampling stations around Lake Buhi (Camarines Sur, Philippines) in September and November 2013. The eight sites represented varied zonation and resource uses. A total of 29 species were identified belonging to five major taxonomic groups: the diatoms (Heterokontophyta), green algae (Chlorophyta), cyanobacteria (Cyanophyta), eustigmatophytes (Heterokontophyta) and dinoflagellates (Dinophyta). Diatoms were the most abundant group (50%), followed by the green algae (41%). Sampling station with high concentration of fish pens generated high diversity (Shannon-Wiener diversity index 2.65) with dominance of pollution tolerant taxa, while the site near the outlet of the lake has the highest phytoplankton abundance (0.139 cells/ml). Results revealed significant differences in relative abundance of phytoplankton among sampling sites and between sampling months within each site. These differences were attributed to the variation in physico-chemical parameters among the sites. Canonical Correspondence Analysis (CCA) showed that nitrate, depth and turbidity positively influenced phytoplankton abundance. Variation in the abiotic factors, including resource use, affected spatial and temporal distribution of the phytoplankton community. Remediation measures on the lake must be directed towards the primary sources of these variations