Abstract

Mangroves inhabit highly productive inter-tidal ecosystems in >120 countries in the tropics and subtropics providing critical goods and services to coastal communities and contributing to global climate change mitigation owing to substantial carbon stocks. Despite their importance, global mangrove distribution continues to decline primarily due to anthropogenic drivers which vary by region/country. South Asia, Southeast Asia and Asia-Pacific contain approximately 46% of the world’s mangrove ecosystems, including the most biodiverse mangrove forests. This region also exhibits the highest global rates of mangrove loss. Remotely sensed data provides timely and accurate information on mangrove distribution and dynamics critical for targeting loss hotspots and guiding intervention. This report inventories, describes and compares all known single- and multi-date remotely sensed datasets with regional coverage and provides areal mangrove extents by country. Multi-date datasets were used to estimate dynamics and identify loss hotspots (i.e., countries that exhibit greatest proportional loss). Results indicate Myanmar is the primary mangrove loss hotspot, exhibiting 35% loss from 1975–2005 and 28% between 2000–2014. Rates of loss in Myanmar were four times the global average from 2000–2012. The Philippines is additionally identified as a loss hotspot, with secondary hotspots including Malaysia, Cambodia and Indonesia. This information helps inform and guide mangrove conservation, restoration and managed-use within the region.

Highlights

  • Mangroves are distributed in >120 countries throughout the world [1]

  • Global mangrove distribution continues to decline primarily due to anthropogenic drivers which vary by region/country

  • This report serves to (1) inventory, describe and compare single- and multi-date geospatial datasets derived from remotely sensed data which provide information about the multi-national and/or national distribution of mangrove ecosystems within the region of interest (ROI), and (2) use multi-date datasets to extract dynamics and identify a short-list of “hotspots” for mangrove loss based on countries which have exhibited the most proportional loss

Read more

Summary

Introduction

Mangroves are distributed in >120 countries throughout the world [1]. Mangrove ecosystems support high floral and faunal biodiversity and provide a diverse range of goods to coastal communities (e.g., food, fuel, building materials). Some mangrove areas are even increasing in extent following successful reforestation initiatives and/or natural gain [54,55] Within this region, sub-regions and countries experiencing relatively substantial loss (i.e., mangrove deforestation hotspots) warrant closer attention and intervention (i.e., loss mitigation activities). Sensed data has been widely used to map mangrove distributions and their dynamics from global to local scales and inform mitigation efforts [15,57]. This report serves to (1) inventory, describe and compare single- and multi-date geospatial datasets derived from remotely sensed data which provide information about the multi-national and/or national distribution of mangrove ecosystems within the ROI, and (2) use multi-date datasets to extract dynamics and identify a short-list of “hotspots” for mangrove loss based on countries which have exhibited the most proportional loss. The findings inform mangrove conservation, restoration and managed-use initiatives within the ROI through targeting deforestation hotspots in greatest need of intervention

Region of Interest
Single-Date Mangrove Distribution
Multi-Date Mangrove Dynamics
Inventory and Description of Datasets
Comparison of Datasets
Identifying Mangrove Loss Hotspots
Conclusions
70. Flanders Marine Institute Maritime Boundaries Geodatabase
77. Clark Labs Coastal Habitats and Conversion to Pond Aquaculture

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.