How to develop a comprehensive Mangrove Quality Index?
Faridah-Hanum Ibrahim,
Fatimah Mohd Yusoff,
Anwar Fitrianto,
Ahmad Ainuddin Nuruddin,
Seca Gandaseca,
Zaiton Samdin,
Norizah Kamarudin,
Siti Nurhidayu,
Mohamad Roslan Kassim,
Khalid Rehman Hakeem,
Shamsuddin Ibrahim,
Ismail Adnan,
Awang Noor Abdul Ghani,
Rhyma Purnamasayangsukasih Parman,
Siti Balqis Abd Razak,
Siti Aminah Ibrahim,
Fareha Hilaluddin,
Fatin Ramli,
Nik Harun Al-Rashid Nik Zaidin
Affiliations
Faridah-Hanum Ibrahim
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia; Corresponding author.
Fatimah Mohd Yusoff
Faculty of Agriculture, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia; Laboratory of Marine Biotechnology, Institute of Bioscience, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Anwar Fitrianto
Department of Statistics, Faculty of Mathematics and Natural Science, Bogor Agricultural University, Indonesia
Ahmad Ainuddin Nuruddin
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia; Institute of Tropical Forestry and Forest Product (INTROP), Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Seca Gandaseca
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia; Institute of Tropical Forestry and Forest Product (INTROP), Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Zaiton Samdin
Institute of Tropical Forestry and Forest Product (INTROP), Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia; Faculty of Economics and Management, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Norizah Kamarudin
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia; Institute of Tropical Forestry and Forest Product (INTROP), Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Siti Nurhidayu
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia; Institute of Tropical Forestry and Forest Product (INTROP), Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Mohamad Roslan Kassim
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Khalid Rehman Hakeem
Department of Biological Sciences, Faculty of Science, King Abdul Aziz University, 21589, Jeddah, Saudi Arabia
Shamsuddin Ibrahim
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Ismail Adnan
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Awang Noor Abdul Ghani
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Rhyma Purnamasayangsukasih Parman
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Siti Balqis Abd Razak
Laboratory of Marine Biotechnology, Institute of Bioscience, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Siti Aminah Ibrahim
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Fareha Hilaluddin
Laboratory of Marine Biotechnology, Institute of Bioscience, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Fatin Ramli
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Nik Harun Al-Rashid Nik Zaidin
Faculty of Forestry, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia
Currently, the available indices to measure mangrove health are not comprehensive. An integrative ecological-socio economic index could give a better picture of the mangrove ecosystem health. This method explored all key biological, hydrological, ecological and socio-economic variables to form a comprehensive mangrove quality index. A total of 10 out of 43 variables were selected based on principal component analysis (PCA). They are aboveground biomass, crab abundance, soil carbon, soil nitrogen, number of phytoplankton species, number of diatom species, dissolved oxygen, turbidity, education level and fishing time spent by fishers. Two types of indices were successfully developed to indicate the health status viz., (1) Mangrove quality index for a specific category (MQISi) and, (2) Overall mangrove quality index (MQI) to reflect the overall health status of the ecosystem. The indices for the five different categories were mangrove biotic integrity index (MQIS1), mangrove soil index (MQIS2), marine-mangrove index (MQIS3), mangrove-hydrology index (MQIS4) and mangrove socio-economic index (MQIS5). The quality of the mangroves was classified from 1 to 5 viz. 1 (worst), 2 (bad), 3 (moderate), 4 (good), 5 (excellent). These MQI class could reflect the quality of mangrove forest which could be managed with the objective of improving its quality. Advantages of this method include: • PCA to select metrics from ecological-socioeconomic variables • Formulation of MQI based on selected metrics • Comprehensive index to classify mangrove ecosystem health Method name: How to develop a comprehensive mangrove quality index?, Keywords: Mangrove health, PCA, Indicator, Formulation