Analyzing the Impacts of Land Cover Change to the Hydrologic and Hydraulic Behaviours of the Philippines' Third Largest River Basin

Santillan, Jojene R.; Amora, Arthur M.; Makinano-Santillan, Meriam; Gingo, A. L.; Marqueso, J. T.

doi:10.5194/isprs-annals-iv-3-w1-41-2019

Cited by 10 publications

(19 citation statements)

References 22 publications

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“…The land cover classi cation was based on Santillan et al, (2019) but implemented in this study with modi cation which generally aggregated land covers that may fall within the same classes (e.g., different forest types). For this study, a total of six different land cover classes were included for the nal land cover map analysis, including Forest, Sparse Vegetation, Water Bodies, Mangrove Forest, Built-up Areas, and Barren Land.…”

Section: Collection Of Classi Cation Reference Points and Image Class...mentioning

confidence: 99%

Application of Machine Learning Methodology to Track History of Mangrove Forest Change in Macajalar Bay, Northern Mindanao (1950-2020)

Salvaña,

Osa,

Agudo

2023

Preprint

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Mangrove forest in Macajalar Bay is regarded as an important ecosystem as it provides numerous ecosystem services. Despite their importance, deforestation has been rampant and has reached critical rates. Addressing this problem and further advancing conservation requires accurate mapping of mangroves, and understand the historical land cover changes. However, such information is sparse and insufficient to understand the change dynamics. In this study, mangrove cover change dynamics for Macajalar Bay, Philippines was determined using Landsat data and machine learning techniques. Vegetation maps derived from aerial photographs and satellite images were used to quantify mangroves and to monitor the rates of deforestation over a 70-year period. In 2020, the mangrove forest cover was estimated to be 187.67 ha, equivalent to only 58.00% of the 325.43 ha that was estimated in 1950. Original mangrove forest that existed in 1950 only represents 8.56% of the 2020 extent, suggesting that much of the old-growth mangrove have been cleared before 2000 and that contemporary mangrove extent is mainly composed of secondary forest. Highest deforestation rates occurred between 1950–1990 where it recorded a total of 258.51 ha, averaging a clearing rate of 6.46 ha/year. Clearing has been driven by large-scale aquaculture pond developments. Mangrove gains were evident in 2000 but it plateaued as it approaches 2020, while loss simultaneously increased since 2010. This indicates that mangroves gained since 2000 have experienced low survival rates. Promoting site-species matching, biophysical assessment, and verification of fishpond availability for mangrove rehabilitation programs are necessary undertakings to address such problems.

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Section: Collection Of Classi Cation Reference Points and Image Class...mentioning

confidence: 99%

Application of Machine Learning Methodology to Track History of Mangrove Forest Change in Macajalar Bay, Northern Mindanao (1950-2020)

Salvaña,

Osa,

Agudo

2023

Preprint

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“…These categories explore the impacts of land cover changes on plant diversity, carbon storage and cycling within watersheds, and the regulation of flood events. These categories explore the impacts of land cover changes on plant diversity (Sarmiento et al 2019), carbon storage and cycling within watersheds ) and the regulation of flood events (Pati 2014, Santillan et al 2019. While fewer in number, studies in these areas provide valuable insights into the role of LULC change in biodiversity, carbon dynamics, and flood risk management strategies.…”

Section: Watershed Ecosystem Services Frequently Studiedmentioning

confidence: 99%

“…The theme with the highest number of articles was Hydrologic Impacts, indicating the substantial influence of LULC change on hydrological processes. This category encompasses various sub-categories such as the decrease on the hydraulic conductivity of soils (Garcia and Galang 2021), decreased baseflow (Graciela et al 2018), flooding (Pati 2014, Santillan et al 2019, increased surface runoff (Engay-Gutierrez 2015), increased sediment yield, increased soil erosion, reduced baseflow (Boongaling et al 2018), reduced groundwater recharge (Boongaling et al 2018, Briones et al 2016, increased soil erosion (Bato et al 2021, Garcia 2016, and increased evapotranspiration (Graciela et al 2018). These impacts, mentioned in 25 articles, highlight the profound consequences of LULC change on water resources, including altered flow patterns, increased sedimentation, soil erosion, and flood events.…”

Section: Impacts Of Land Use/land Cover Changes To Watershed Ecosyste...mentioning

confidence: 99%

Drivers and impacts of land use and land cover changes on ecosystem services provided by the watersheds in the Philippines: a systematic literature review

Rodriguez,

Palma-Torres,

Castañeda

et al. 2023

int. forest. rev.

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This study investigates the drivers and impacts of land use and land cover (LULC) changes on ecosystem services provided by the Philippine watersheds, aiming to enhance understanding of sustainable watershed management and land use planning in the country. A systematic literature review assessed LULC change studies from 2013 to 2022. Notably, among the category of ecosystem services, regulating services such as hydrologic regulation and soil erosion control received significant attention, while provisioning services, supporting services and cultural services received comparatively less attention. However, in general, considering the trend of watershed degradation in the country, the studies conducted linking the impacts of land use and land cover change on watershed ecosystem services are relatively few. Also, the impacts of land use and land cover change on watershed ecosystem services were not elaborately explored and mostly centered on either a single or selected ecosystem services. This suggests that a more holistic approach in assessing the impacts of land use and land cover change on the watershed ecosystem services can be considered for future studies. The primary drivers of LULC change were agricultural expansion, urbanization and human settlements, population factors, forest conversion, agricultural demand and profit motives. Among these, urbanization and human settlements were most frequently mentioned. The main impacts of LULC changes on watershed ecosystem services were associated with hydrologic processes. These findings have implications for future research, land use planning, and decision-making processes, aiming to advance sustainable watershed management and preserve ecosystem services.

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“…It also aims to estimate how the Agusan Marsh would react to extreme rainfall events in terms of depth and extent of inundations through two-dimensional (2D) flood modelling. This study is a continuation of the land-cover change mapping and analysis that we have conducted for the ARB (Santillan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Mapping Land Cover Change and Modelling Its Impacts on the Inundation Responses of the Agusan Marsh, Mindanao, Philippines

Makinano-Santillan

Santillan

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Monitoring of environmental changes is one of the most popular applications of satellite remote sensing. In this study, we applied satellite remote sensing to map and monitor changes in land cover of Agusan Marsh, one of the most ecologically significant wetlands, and an important region of biodiversity in the Philippines. Multi-temporal land cover maps of the Agusan Marsh over a 22-year period from 1995 to 2017 were generated through Maximum Likelihood classification of Landsat 5, TM, ETM+ and OLI images. Post-classification change detection of the land-cover maps showed that more than 60% of the marsh is naturally vegetated during the mapping period. Agricultural/cultivated areas were the second dominant land cover and were found to be increasing through the years while wetland vegetation generally showed a downward trend. Two-dimensional (2D) flood modelling using HEC RAS was also performed to estimate how the Agusan Marsh would react to extreme rainfall events in terms of depth and extent of inundations. Simulation results showed that the Agusan Marsh responded differently for each year in terms of inundation depth and extent. These results of the combined satellite remote sensing + 2D modelling approach implemented in this study would be essential to better understand landscape patterns in the Agusan Marsh, including changes and interactions between human activities and natural phenomenon such as flooding for proper marsh management and improved decision-making.

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Analyzing the Impacts of Land Cover Change to the Hydrologic and Hydraulic Behaviours of the Philippines' Third Largest River Basin

Cited by 10 publications

References 22 publications

Application of Machine Learning Methodology to Track History of Mangrove Forest Change in Macajalar Bay, Northern Mindanao (1950-2020)

Application of Machine Learning Methodology to Track History of Mangrove Forest Change in Macajalar Bay, Northern Mindanao (1950-2020)

Drivers and impacts of land use and land cover changes on ecosystem services provided by the watersheds in the Philippines: a systematic literature review

Mapping Land Cover Change and Modelling Its Impacts on the Inundation Responses of the Agusan Marsh, Mindanao, Philippines

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