Assessment of biophysical properties of Royal Belum tropical forest, Malaysia

Kanniah, Kasturi Devi; Tan, Kian Pang; Cracknell, A. P.; Huete, Alfredo; Idris, Nurul Hawani; Lau, Alvin Meng Shin; Rahman, Muhammad Zulkarnain Abdul; Rasib, Abd Wahid; Ahmad, Anuar

doi:10.1111/sjtg.12215

Cited by 12 publications

(5 citation statements)

References 20 publications

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“…It is one of the oldest tropical rainforests in the world and it is believed exist from 130 million years ago. It is also one of the largest virgin forest reserves in Malaysia [6]. More than two decades ago before Banding or even Temengor Lake ever existed, many rivers from the mountain ranges flowed into the Temengor's lowlands and gorges, creating a vast catchment area.…”

Section: Study Areamentioning

confidence: 99%

Distribution and Diversity of Family Rubiaceae in Pulau Banding, Gerik, Perak

Nek Adek,

Awang,

Zulkeflee

et al. 2023

BIO Web Conf.

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The distribution and diversity of the Rubiaceae species were investigated along one trail at Pulau Banding, Gerik, Perak. This study aims to identify and estimate the diversity of the Rubiaceae species. The diversity and distribution of the Rubiaceae species were calculated using Shannon-Wiener’s Diversity Index, Simpson's Diversity Index and relative abundance index. A total of 139 individuals from nine species were recorded from Pulau Banding, Perak which are Mitracarpus hirtus, Gardenia carinata, Aidia densiflora, Hypobathrum hirtum, Coffea arabica, Psychotria marginata, Lasianthus constrictus, Porterandia anisophyllea and Ixora finlaysoniana. The values of the Shannon-Wiener’s Diversity Index (H′) and Simpson's Diversity Index (D) are 1.55 and 3.27, respectively. This indicates that M. hirtus is the most dominant species, encompassing 49% of all recorded Rubiaceae. Since it has many benefits such as food, timber, medicine, and the diversity of conservation value, this is vital as baseline data for researchers to propose solutions to the stakeholders and conservation sustainability of the Rubiaceae family as plant resources in Pulau Banding, Perak.

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Section: Study Areamentioning

confidence: 99%

Distribution and Diversity of Family Rubiaceae in Pulau Banding, Gerik, Perak

Nek Adek,

Awang,

Zulkeflee

et al. 2023

BIO Web Conf.

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“…1). The RBTRC comprises several forest reserves, including the Royal Belum State Park, Banding Forest Reserve, Gerik Forest Reserve, and Temenggor Forest Reserve, with only the Royal Belum State Park being fully protected since 2007 [13]. Connecting these forest reserves is the Temenggor Lake, a man-made lake spanning 15,200 hectares and a depth of up to 60.96 metres, utilised for hydroelectricity generation.…”

Section: Study Areamentioning

confidence: 99%

Preliminary assessment on climatological conditions in Royal Belum-Temenggor Rainforest Complex, Malaysia using MERRA-2 reanalysis datasets

Leong,

A/P James,

Muhammad

2023

BIO Web Conf.

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Royal Belum-Temenggor Rainforest Complex (RBTRC) is renowned as one of the world’s oldest tropical rainforests and biodiversity hotspots. Its extensive forest coverage serves as a crucial carbon sink that stock more than 185 Mg ha-1 carbon, thereby playing a crucial role in regulating Earth’s temperature. Despite its significance as a major carbon sink and biodiversity ecosystem, studies on RBTRC have been limited primarily to biological and ecological studies. Baseline climate studies for this region are non-existent to-date. Baseline climate assessment is crucial for assessments of future climate change impact in this region. This study fills this critical research gap by investigating the climatological trends of annual-averaged temperature, surface pressure, specific humidity, wind speed and rainfall in RBTRC from 1991 to 2020 using the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) reanalysis dataset. All atmospheric variables exhibit a normal distribution, and increasing trends are observed for all variables except for windspeed. Pearson’s correlations indicate positive correlation between pressure and temperature (0.5), specific humidity and rainfall (0.45), and negative correlation in pressure and rainfall (-0.59), specific humidity and windspeed (-0.55), and temperature and windspeed (-0.42). This complements the fundamental physical laws, indicating the reliability of the MERRA-2 reanalysis datasets for further climatological evaluation.

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“…The park's 117,500 hectares form the second largest terrestrial protected area in Peninsular Malaysia. Apart from ecotourism, commercial activities, such as logging, that could impact the virgin forest are not permitted within RBSP (Kanniah et al 2018).…”

Section: Study Areamentioning

confidence: 99%

Deriving forest plot inventory parameters using terrestrial laser scanning in the tropical rainforest of Malaysia

Kalwar

Hussin

Weir

et al. 2020

International Journal of Remote Sensing

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Forest inventory parameters, in particular DBH (diameter at breast height) and tree height, can be used to accurately estimate aboveground carbon, which is an important indicator of forest productivity and sequestration of carbon. This study demonstrates and tests a method to automatically and manually derive forest inventory parameters for estimating above-ground carbon (AGC) using a Terrestrial Laser Scanner (TLS). The study was conducted in the Royal Belum State Park of Peninsular Malaysia by establishing 24 circular inventory sample plots of 0.05 ha. A RIEGL VZ-400 TLS system was used to acquire point cloud data of the sample plots through multiple scanning, and these data were further preprocessed and co-registered using the RiSCAN PRO software. The DBH and tree height for each tree within the plots were manually measured using a distance measurement tool in RiSCAN PRO and automatically derived from Computree software using a tree segmentation approach. The inventory parameters derived from TLS were compared with the field measurements for calculating the AGC using an allometric equation. On average, 89% and 90% of the sampled trees were detected from the point cloud data of the plots using the manual and automatic detection methods, respectively. The mean values of R 2 (coefficient of determination) and RMSE (Root Mean Square Error) for manually measured DBH and tree height across the plots were 0.95 and 2.70 cm, and 0.77 and 2.96 m, respectively. We also obtained an average value of 0.86 and 2.47 cm, and 0.51 and 3.15 m for R 2 and RMSE, respectively between field-measured and automatically derived DBH and tree height from TLS data across all the sample plots of the study area. Our method provides clear evidence that TLS has the potential to derive forest inventory parameters, which can be used to estimate above-ground carbon in the tropical rainforest accurately.

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Assessment of biophysical properties of Royal Belum tropical forest, Malaysia

Cited by 12 publications

References 20 publications

Distribution and Diversity of Family Rubiaceae in Pulau Banding, Gerik, Perak

Distribution and Diversity of Family Rubiaceae in Pulau Banding, Gerik, Perak

Preliminary assessment on climatological conditions in Royal Belum-Temenggor Rainforest Complex, Malaysia using MERRA-2 reanalysis datasets

Deriving forest plot inventory parameters using terrestrial laser scanning in the tropical rainforest of Malaysia

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