Spatial Differentiation of Mangrove Aboveground Biomass and Identification of Its Main Environmental Drivers in Qinglan Harbor Mangrove Nature Reserve DOI Open Access
Kaiyue Wang,

Meihuijuan Jiang,

Yating Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8408 - 8408

Published: Sept. 27, 2024

In the Bamen Bay area of Qinglan Harbor Mangrove Provincial Nature Reserve in Wenchang, Hainan Province, China, mangrove aboveground biomass (AGB) was estimated using high-resolution UAV ortho-imagery and LiDAR data. The spatial distribution characteristics AGB were studied global Moran’s I index hotspot analysis. Optimal geographic detectors regression models employed to analyze relationship between key environmental factors. results indicate that (1) average study 141.22 Mg/ha, with significant variation. High values concentrated southwestern northeastern regions, while low mainly found central southeastern regions. (2) Plant species, water pH, soil total potassium, salinity, dissolved oxygen, elevation, organic matter, phosphorus, nitrogen identified as major factors influencing AGB. interaction either bifactor enhancement or nonlinear enhancement, showing a significantly higher impact compared single (3) Comprehensive model reveal primary factor affecting AGB, followed by pH having least impact. Factors positively correlated promoted growth, elevation negatively affected inhibiting accumulation. findings provide critical insights can guide targeted conservation efforts management strategies aimed at enhancing ecosystem health resilience, particularly focusing on areas for potential improvement addressing complex interactions among

Language: Английский

Influence of stand age on sediment bacterial communities in restored mangrove forests DOI Creative Commons
Jiayong Lai, Kishneth Palaniveloo, Sahadev Sharma

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113316 - 113316

Published: March 28, 2025

Language: Английский

Citations

0

Mangrove vulnerability and blue carbon storage in the Coral Triangle Areas, Southeast Sulawesi, Indonesia DOI Creative Commons
Kangkuso Analuddin, Muhammad Helmi,

Rudhi Pribadi

et al.

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: Nov. 7, 2024

Mangroves play a vital role in the environment and contribute signific aptly to well-being of coastal communities by providing goods services. Unfortunately, degradation deforestation mangroves has frequently occurred. Therefore, it is important understand vulnerability its impact on blue carbon storage for effective mangrove management planning. This study aims assess effect coral triangle region Southeast Sulawesi, Indonesia. The assessment included factors such as exposure, sensitivity, adaptive capacity. Blue was evaluated based stock sediment, biomass, total ecosystems both protected unprotected areas. ecosystem area Rawa Aopa Watumohai National (RAWN) Park showed lower due higher On other hand, areas Tinanggea (TNG), Kendari Bay (KDI), Staring (STR) exhibited moderate high RAWN Park, which were less vulnerable, had sediment (381.64 tons C/ha), biomass (312.65 entire (706.76 C/ha). These values significantly (p<0.05) compared those TNG (306.66 tons, 144.15 448.37 C/ha, respectively), KDI (262.08 227.73 470.76 STR (169.44 66.66 253.27 respectively). resulted reduced regions Sulawesi. efforts rehabilitation restoration, legislation, conservation should be prioritized enhance storage, services provided

Language: Английский

Citations

2

Spatial Differentiation of Mangrove Aboveground Biomass and Identification of Its Main Environmental Drivers in Qinglan Harbor Mangrove Nature Reserve DOI Open Access
Kaiyue Wang,

Meihuijuan Jiang,

Yating Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8408 - 8408

Published: Sept. 27, 2024

In the Bamen Bay area of Qinglan Harbor Mangrove Provincial Nature Reserve in Wenchang, Hainan Province, China, mangrove aboveground biomass (AGB) was estimated using high-resolution UAV ortho-imagery and LiDAR data. The spatial distribution characteristics AGB were studied global Moran’s I index hotspot analysis. Optimal geographic detectors regression models employed to analyze relationship between key environmental factors. results indicate that (1) average study 141.22 Mg/ha, with significant variation. High values concentrated southwestern northeastern regions, while low mainly found central southeastern regions. (2) Plant species, water pH, soil total potassium, salinity, dissolved oxygen, elevation, organic matter, phosphorus, nitrogen identified as major factors influencing AGB. interaction either bifactor enhancement or nonlinear enhancement, showing a significantly higher impact compared single (3) Comprehensive model reveal primary factor affecting AGB, followed by pH having least impact. Factors positively correlated promoted growth, elevation negatively affected inhibiting accumulation. findings provide critical insights can guide targeted conservation efforts management strategies aimed at enhancing ecosystem health resilience, particularly focusing on areas for potential improvement addressing complex interactions among

Language: Английский

Citations

0