Pampanga State Agricultural University

Office of the Library Services and Museum

Identification Of Critical Areas For Mangroves Species In Spcw Using Geographic (Record no. 16895)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 137145
003 - CONTROL NUMBER IDENTIFIER
control field 0000000000
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250408094751.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240312n 000 0 eng d
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Macalino, Kyle Emmanuel D.
245 00 - TITLE STATEMENT
Title Identification Of Critical Areas For Mangroves Species In Spcw Using Geographic
Medium [manuscript] /
Statement of responsibility, etc. Macalino, Kyle Emmanuel D.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Magalang, Pampanga :
Name of publisher, distributor, etc. Pampanga State Agricultural University,
Date of publication, distribution, etc. June 2023.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 83 leaves ;
Dimensions 28 cm + 1computer disc (4 3/4 inch)
500 ## - GENERAL NOTE
General note ABSTRACT Macalino, Kyle Emmanuel D. May 2023. IDENTIFICATION OF CRITICAL AREAS FOR MANGROVES SPECIES IN SPCW USING GEOGRAPHIC INFORMATION SYSTEM. Pampanga State Agricultural University. Adviser: Gerald M. Salas, Ph. D. Mangroves are vital in coastal areas because they provide protection from storm surges and provide ecosystem services in the livelihood. However, they are at risk due to threats and lack of conservation and management. Five barangays (Malusac, Sebitanan, Mabuanbuan, Batang 1, Batang 2nd and Sasmuan Bangkung Malapad Critical Habitat Ecotourism Area) in Sasmuan Pampanga Coastal Wetlands (SPCW) was assessed to determine the species diversity through Shannon Wiener Index, the assessment showed that the species diversity of the mangrove species is low with the score of 142. The identification of critical areas for the Rhizophora species was done by habitat suitability analysis through QGIS. The criteria identified were weighted by experts using Analytical Hierarchy Process, then the weights were converted into percentages. The points for each criterium were interpolated to produce raster layers and they were given the corresponding attributes then the raster layers were overlayed by raster calculator. The results showed that there is a total area of 14019322.23 m2 "fairly suitable" areas followed by, 2995568,62 m2 of highly suitable areas" and with the least of 21 16895.94 m2 "not suitable" areas. The land classification was done through QGIS, the landsat images were downloaded in USGS earth explorer. The date ranges from 1993, 2004, 2014 and 2021, the raster data were rectified using DOSI atmospheric correction. The study used unsupervised classification to input region of interests. The results showed in the duration from 1993 to 2014 when built-up areas expand the vegetation area decreases.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gerald M. Salas,
Relator term Adviser.
730 0# - ADDED ENTRY--UNIFORM TITLE
Uniform title Identification Of Critical Areas For Mangroves Species In Spcw Using Geographic.
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
      Not for loan BS Biology PSAU OLM PSAU OLM Dissertation, Theses 07/04/2023   UT M11 2023 UT13201 04/08/2025 04/08/2025 Theses