The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent

Bunting, Peter; Rosenqvist, Åke; Lucas, Richard; Rebelo, Lisa‐Maria; Hilarides, Lammert; Thomas, Nathan; Hardy, Andrew; Itoh, Takuya; Shimada, Masanobu; Finlayson, C. Max

doi:10.3390/rs10101669

Cited by 469 publications

(406 citation statements)

References 33 publications

Supporting

Mentioning

384

Contrasting

Unclassified

Order By: Relevance

“…However, over the timescale we analysed, cases of mangrove expansion and regrowth are likely to be rare relative to that of deforestation. Future studies could use new remotely sensed products, such as the Global Mangrove Watch dataset 41 , that measure both loss and growth of forests, to better understand how mangrove expansion may reconnect fragmented patches over longer timescales. www.nature.com/scientificreports www.nature.com/scientificreports/ Remote sensing has facilitated large-scale mapping and the identification of conservation issues in increasingly high detail.…”

Section: Discussionmentioning

confidence: 99%

Global trends in mangrove forest fragmentation

Bryan-Brown

Connolly

Richards

et al. 2020

Sci Rep

183

104

View full text Add to dashboard Cite

fragmentation is a major driver of ecosystem degradation, reducing the capacity of habitats to provide many important ecosystem services. Mangrove ecosystem services, such as erosion prevention, shoreline protection and mitigation of climate change (through carbon sequestration), depend on the size and arrangement of forest patches, but we know little about broad-scale patterns of mangrove forest fragmentation. Here we conduct a multi-scale analysis using global estimates of mangrove density and regional drivers of mangrove deforestation to map relationships between habitat loss and fragmentation. Mangrove fragmentation was ubiquitous; however, there are geographic disparities between mangrove loss and fragmentation; some regions, like cambodia and the southern caribbean, had relatively little loss, but their forests have been extensively fragmented. in Southeast Asia, a global hotspot of mangrove loss, the conversion of forests to aquaculture and rice plantations were the biggest drivers of loss (>50%) and fragmentation. Surprisingly, conversion of forests to oil palm plantations, responsible for >15% of all deforestation in Southeast Asia, was only weakly correlated with mangrove fragmentation. Thus, the management of different deforestation drivers may increase or decrease fragmentation. Our findings suggest that large scale monitoring of mangrove forests should also consider fragmentation. this work highlights that regional priorities for conservation based on forest loss rates can overlook fragmentation and associated loss of ecosystem functionality.Mangroves are intertidal wetlands found along coastlines in much of the tropical, subtropical and warm-temperate world. These forests provide valuable ecosystem services including preventing erosion 1 , providing habitat for fisheries species 2 , protecting coastal communities from extreme weather events 3,4 and storing large reserves of blue carbon, thus mitigating global climate change 5 . The services provided by mangroves are threatened by anthropogenic processes including deforestation 6 and sea-level rise 7,8 . Historically, mangroves were subject to high rates of deforestation of up to 3.6% per annum 9 . However, since the turn of the millennium global mangrove deforestation rates have slowed, with annual loss rates of 0.2-0.7% 10,11 . Lower rates of loss are due to near total historical loss of forest patches in some regions, but also improved conservation practices 11 and improvements in large scale monitoring techniques that provide more accurate estimates of cover and loss than were available historically 10,12 . The majority of contemporary mangrove loss occurs in Southeast Asia, where ~50% of the remaining global mangrove forest area is located, with nations such as Indonesia, Malaysia and Myanmar continuing to show losses of 0.26, 0.41 and 0.70% per year, respectively 10 .Recently, researchers have highlighted that simply reporting mangrove total loss rates is insufficient for prioritising conservation actions 11 , if there is insufficient knowledge...

show abstract

Section: Discussionmentioning

confidence: 99%

Global trends in mangrove forest fragmentation

Bryan-Brown

Connolly

Richards

et al. 2020

Sci Rep

183

104

View full text Add to dashboard Cite

show abstract

“…We then calculated the average departure from the reference value (hereafter referred to as ∆NDVI) from all cloud-free images during the 7 month post-hurricane period (November 1 of given year to June 1 of the next year; SI appendix (stacks.iop.org/ERL/15/064010/mmedia)). We used a high-resolution (1 ha) map of global mangrove extent in 2010 to extract the ∆NDVI within mangroves only [33]. According to this map, there were 2.26 million ha of mangroves within our study region.…”

Section: Mangrove Damagementioning

confidence: 99%

Widespread mangrove damage resulting from the 2017 Atlantic mega hurricane season

Taillie

Roman-Cuesta

Lagomasino

et al. 2020

Environ. Res. Lett.

View full text Add to dashboard Cite

Comprised of 17 named tropical storms, 6 of which were major hurricanes, the 2017 Atlantic hurricane season ranked as one of the most damaging and costly hurricane seasons on record. In addition to socio-economic impacts, many previous studies have shown that important coastal ecosystems like mangroves are shaped by severe storms. However, little is known about how the cumulative effects of storms over entire hurricane seasons affect mangroves across large regions. We used satellite imagery from the entire Caribbean and Gulf of Mexico region to show that 2017 resulted in disproportionate mangrove damage compared to baseline responses over the previous 8 years. Specifically, we observed 30 times more mangrove damage, via a reduction in the normalized difference vegetation index (NDVI), during 2017 compared to any of the eight previous hurricane seasons, and most (72%) of this damage persisted throughout the 7 month post-hurricane season period as indicated by no NDVI recovery. Furthermore, wind speed, rainfall, and canopy height data showed that mangrove damage primarily resulted from high maximum wind speeds, but flooding (cumulative rainfall), previous storm history, and mangrove structure (canopy height) were also important predictors of damage. While mangroves are known to be resilient to hurricane impacts, our results suggest that increasingly frequent mega-hurricane seasons in the Caribbean region will dramatically alter mangrove disturbance dynamics.

show abstract

“…11,22,[23][24][25][26] Many researchers have tried to identify the baseline mangrove forest in regional-global areas. [27][28][29] However, references for estimating the biomass of mangrove forests in regional-global areas are lacking, which is both a challenge and an opportunity. 30 This study was conducted with the objective of developing an aboveground mangrove forests biomass dataset for SEA based on the ALOS PALSAR 25-m mosaic.…”

Section: Development Of Aboveground Mangrove Forests'mentioning

confidence: 99%

Development of aboveground mangrove forests’ biomass dataset for Southeast Asia based on ALOS-PALSAR 25-m mosaic

Darmawan¹,

Sari²,

Takeuchi

et al. 2019

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

Development of aboveground mangrove forests' biomass dataset for Southeast Asia based on ALOS-PALSAR 25m mosaic,"Abstract. Southeast Asia (SEA) has the largest mangrove forest area in the world, which plays an important role in the global carbon cycle and is helping to mitigate climate change. In order to manage the mangrove forests in SEA, their total biomass needs to be determined. However, development of a biomass dataset based on field survey is time consuming. An aboveground biomass (AGB) dataset of mangrove forests was developed for SEA based on ALOS PALSAR 25-m mosaic. Specifically, ALOS-PALSAR 25-m images were first retrieved for SEA from the Kyoto and Carbon Initiative projects and then converted from a digital number to a normalized radar cross-section format in decibels. Samples of mangrove forests in SEA were collected as regions of interest from ALOS PALSAR data based on visual interpretation using Landsat data and Google Earth imagery. A rule-based classification method based on mangrove backscattering characteristics was then used to classify mangroves and nonmangroves in the region. Subsequently, an empirical model was adopted to estimate the AGB of the mangrove forests and an AGB dataset was developed. The results indicate that the spatial distribution of mangrove forests over SEA is 5.1 million hectares, and the estimated average AGB is 140.5 AE 136.1 Mg∕ha.

show abstract

The Global Mangrove Watch—A New 2010 Global Baseline of Mangrove Extent

Cited by 469 publications

References 33 publications

Global trends in mangrove forest fragmentation

Global trends in mangrove forest fragmentation

Widespread mangrove damage resulting from the 2017 Atlantic mega hurricane season

Development of aboveground mangrove forests’ biomass dataset for Southeast Asia based on ALOS-PALSAR 25-m mosaic

Contact Info

Product

Resources

About