Developing seagrass index for long term monitoring of Zostera japonica seagrass bed: a case study in Yellow River Delta, China DOI Creative Commons

Qingqing Zhou,

Yinghai Ke, Xinyan Wang

et al.

EarthArXiv (California Digital Library), Journal Year: 2022, Volume and Issue: unknown

Published: June 30, 2022

Seagrass beds offer unique and vital ecological services as an important blue carbon ecosystem in coastal wetlands. Zostera japonica is intertidal seagrass species native to eastern Asia one of the most widely distributed China. However, little known on long-term variations Z. extents. Automatic mapping method for urgent need fill this knowledge gap. In study, we proposed a new SeaGrass Index (SGI) automatic rapid based time-series Landsat satellite imagery, aiming alleviate influence tidal inundation enhance separability from other cover types. The SGI considers both spectral phenological characteristics japonica, well spatial location japonica. We took Yellow River Delta (YRD), China our study area, where was first discovered reported 2015. Based SGI, extents during 1985-2018 were extracted using multi-Otsu thresholding algorithm. Accuracy assessments field investigations high-resolution imagery showed that has successfully separated types, especially salt marshes, with overall accuracies >95%, producer’s >90% user’s >94%. Our provides maps YRD. area large 1985-2018, ranging 149 ha 2005-2006 1302.9 2011-2012. distribution varied morphological change estuary caused by river channel shifts. Since 2011, have undergone degradation due invasion S. alterniflora. only 332.3 2017-2018. Coastal erosion extreme climate events such drought typhoon might also explain expect will advance methods beds, provide baseline data restoration management seagrasses at regional scale.

Language: Английский

The vulnerability and resilience of seagrass ecosystems to marine heatwaves in New Zealand: a remote sensing analysis of seascape metrics using PlanetScope imagery DOI Creative Commons
Ken Joseph E. Clemente, Mads S. Thomsen, Richard C. Zimmerman

et al.

Remote Sensing in Ecology and Conservation, Journal Year: 2023, Volume and Issue: 9(6), P. 803 - 819

Published: May 25, 2023

Abstract Seagrasses are foundation species that provide ecosystem functions and services, including increased biodiversity, sediment retention, carbon sequestration, fish nursery habitat. However, anthropogenic stressors reduce water quality, impose large‐scale climate changes, amplify weather patterns, such as marine heatwaves, altering seagrass meadow configurations. Quantifying trends in distributions will help evaluate the impacts of drivers on their services. Here, we quantified spatiotemporal dynamics abundances configurations intertidal shallow subtidal ( Zostera muelleri ) meadows 20 New Zealand (NZ) estuaries span a 5‐year period (mid/late 2016–early 2022) just before, during after Tasman Sea 2017/18 heatwave, warmest summer ever recorded NZ. We used high‐resolution PlanetScope satellite imagery to map interseasonal extent quantify seascape metrics across along latitudinal gradient spanning 12° also explored association changes with satellite‐derived predictors sea surface temperature (SST), SST anomaly (SSTa), column turbidity, nutrient concentration. Our analyses revealed NZ varied areal between years seasons, but no clear patterns over period, implying resilience like heatwave. Small‐scale were dynamic, for example, patch sizes differed estuaries, years. Furthermore, patches expanded some increasing SSTa. These results highlight dynamic likely affect local processes biodiversity sequestration. demonstrate combination remote sensing is an efficient novel approach detect from stressors, eutrophication extremes cyclones heatwaves.

Language: Английский

Citations

6

Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades DOI Creative Commons
María Laura Zoffoli, Pierre Gernez, Simon Oiry

et al.

Remote Sensing in Ecology and Conservation, Journal Year: 2022, Volume and Issue: 9(3), P. 420 - 433

Published: Dec. 28, 2022

Abstract Taking into account trophic relationships in seagrass meadows is crucial to explain and predict temporal trajectories, as well for implementing evaluating conservation policies. However, this type of interaction has been rarely investigated over the long term at scale whole habitat. In work, reciprocal links between an intertidal species, Zostera noltei , a herbivorous bird feeding on migratory goose Branta bernicla were using original combination long‐term Earth Observation (EO) census data. Seagrass Essential Biodiversity Variables (EBVs) such abundance phenology measured from 1985 2020 high‐resolution satellite remote sensing Bourgneuf Bay (France), cross‐analysed with situ measurements population size during wintering season. Our results showed mutual relationship Brent geese four last decades, suggesting that two species extends beyond simple grass—herbivore consumptive effect. We provided evidence types interactions: (i) bottom‐up control where late‐summer drives (ii) indirect top‐down effect habitat, development positively influenced by previous Such mutualistic strong implications biodiversity because protecting one beneficial other one, demonstrated here positive trajectories observed both populations. Importantly, we also exploring synergy EO data can benefit ecology ecosystem management.

Language: Английский

Citations

9

Isotopic niche partitioning in a multi-species assemblage DOI

Carson L. Arends,

Hannah B. Vander Zanden, Margaret M. Lamont

et al.

Marine Biology, Journal Year: 2023, Volume and Issue: 171(1)

Published: Nov. 9, 2023

Language: Английский

Citations

5

Mapping of seagrass ecosystem on Bontosua Island, Pangkep District, South Sulawesi, Indonesia DOI Open Access
Dwi Rosalina,

Khairul Jamil,

Yasser Arafat

et al.

Biodiversitas Journal of Biological Diversity, Journal Year: 2023, Volume and Issue: 24(4)

Published: May 5, 2023

Abstract. Rosalina D, Jamil K, Arafat Y, Amalia R, Leilani A. 2023. Mapping of seagrass ecosystem on Bontosua Island, Pangkep District, South Sulawesi, Indonesia. Biodiversitas 24: 2023-2030. Island is one the islands in Indonesia, that has a ecosystem. The purpose this study was to assess density, cover, area, and condition Island. data collection involved use quadratic transect method field Lyzenga for remote sensing. identification areas made using Landsat 8 OLI/TIRS satellite. Six species were identified, namely Cymodocea rotundata, Thalassia hemprichii, Halodule uninervis, pinifolia, Syringodium isoetifolium Halophila sp. results showed C. rotundata had highest density value 89 Ind/m² categorized as rather dense, while also percentage cover 58%, lowest 2%. distribution area beds approximately 28.26 ha, out total 92 which 6 ha land. Observations 16.65 healthy, 6.3 unhealthy, 5.31 poor.

Language: Английский

Citations

4

AI-based seagrass morphology measurement DOI Creative Commons

S. Halder,

Nahina Islam,

Biplob Ray

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 369, P. 122246 - 122246

Published: Sept. 6, 2024

Language: Английский

Citations

1

Mapping intertidal macrophytes in fjords in Southwest Greenland using Sentinel-2 imagery DOI Creative Commons
Daniel F. Carlson,

Antoni Vivó‐Pons,

Urs A. Treier

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 865, P. 161213 - 161213

Published: Dec. 27, 2022

Changes in the distribution of coastal macrophytes Greenland, and elsewhere Arctic are difficult to quantify as region remains challenging access monitor. Satellite imagery, particular Sentinel-2 (S2), may enable large-scale monitoring areas Greenland but its use is impacted by optically complex environments scarcity supporting data region. Additionally, canopies dominant macrophyte species do not extend sea surface, limiting indices that exploit reflection near-infrared radiation vegetation due absorption seawater. Three hypotheses tested: I) 10-m S2 imagery commonly used detection methods can identify intertidal exposed at low tide an fjord system marine land terminating glaciers; II) detached floating accumulate patches sufficiently large be detected images; III) iceberg scour and/or turbid meltwater runoff shape spatial macroalgae systems with marine-terminating glaciers. The NDVI produced best results Greenland. 12 km2 were identified study area tide. Floating mats ranged from 400 m2 326,800 most common mouth fjord. Icebergs turbidity appear play a role structuring retreat glaciers could allow cover expand. challenges solutions presented here apply fjords and, therefore, methodology extended produce Greenland-wide estimate macrophytes.

Language: Английский

Citations

6

Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery DOI Creative Commons
Victoria Hill, Richard C. Zimmerman,

Paul Bissett

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(19), P. 4715 - 4715

Published: Sept. 26, 2023

Mapping the seagrass distribution and density in underwater landscape can improve global Blue Carbon estimates. However, atmospheric absorption scattering introduce errors space-based sensors’ retrieval of sea surface reflectance, affecting presence, density, above-ground carbon (AGCseagrass) This study assessed correction’s impact on mapping using WorldView-2 satellite imagery from Saint Joseph Bay, George Sound, Keaton Beach Florida, USA. Coincident situ measurements water-leaving radiance (Lw), optical properties, leaf area index (LAI) were collected. Seagrass classification LAI compared after empirical line height (ELH) dark-object subtraction (DOS) methods used for correction. DOS left residual brightness blue green bands but had minimal accuracy. brighter reflectance values reduced retrievals by up to 50% ELH-corrected images ground-based observations. offers a potential correction underestimation due incomplete correction, enhancing without observations accurate interference

Language: Английский

Citations

3

Assessment of the NASA carbon monitoring system wet carbon stakeholder community: data needs, gaps, and opportunities DOI Creative Commons
Molly E. Brown, Catherine Mitchell, Meghan Halabisky

et al.

Environmental Research Letters, Journal Year: 2023, Volume and Issue: 18(8), P. 084005 - 084005

Published: June 27, 2023

Abstract Wet carbon (WC) ecosystems are a critical part of the cycle, yet they underrepresented in many policy and science communities due to relative under-investment stakeholder boundary organizations. WC systems include hydrosphere cycling that operate wetlands, oceans, rivers, streams, lakes, ponds, permafrost. In this article, we provide evidence from desk review stakeholders, includes individuals, groups or organizations affected by climate change, utilize data. These stakeholders involved decision-making processes ecosystems, can be private companies, non-governmental organizations, government agencies ranging scope local federal, parastatals, international more. paper, identify describe links interests analyze gaps between scientific understanding information needs. A continued focus on could lead increased engagement methodological progress. Our study revealed interest was not primarily determined its role but rather significance for policy, economics, ecology. To bridge gap available data, need improved communication data availability uncertainty, capacity building, groups, continuity. Enhanced across various will facilitate greater utilization monitoring derived remote sensing; thereby creating more informed as well effective processes.

Language: Английский

Citations

2

Simulated response of St. Joseph Bay, Florida, seagrass meadows and their belowground carbon to anthropogenic and climate impacts DOI Creative Commons
Marie Cindy Lebrasse, Blake A. Schaeffer, Richard C. Zimmerman

et al.

Marine Environmental Research, Journal Year: 2022, Volume and Issue: 179, P. 105694 - 105694

Published: June 30, 2022

Seagrass meadows are degraded globally and continue to decline in areal extent due human pressures climate change. This study used the bio-optical model GrassLight explore impact of change anthropogenic stressors on seagrass extent, leaf area index (LAI) belowground organic carbon (BGC) St. Joseph Bay, Florida, using water quality data remotely-sensed sea surface temperature (SST) from 2002 2020. Model predictions were compared with satellite-derived measurements shoot density Landsat images for same period. The GrassLight-derived potential habitat ranged 36.2 km

Language: Английский

Citations

3

Deep vs shallow: GPS tags reveal a dichotomy in movement patterns of loggerhead turtles foraging in a coastal bay DOI Creative Commons
Margaret M. Lamont, Daniel H. Slone, James P. Reid

et al.

Movement Ecology, Journal Year: 2024, Volume and Issue: 12(1)

Published: May 30, 2024

Abstract Background Individual variation in movement strategies of foraging loggerhead turtles have been documented on the scale tens to hundreds kilometers within single ocean basins. Use different among individuals may reflect variations resources, predation pressure or competition. It is less common for individual use a coastal bay. We used GPS tags capable back-filling fine-scale locations document patterns bay Northwest Florida, U.S.A. Methods Iridium-linked were deployed at neritic site Florida. After filtering telemetry data, point transformed lines and then merged with original file define travel paths assess speed. Home ranges determined using kernel density function. Diurnal behavioral shifts examined by examining turtle movements compared solar time. Results Of 11 tagged, three tracked remained deep (~ 6 m) water almost entire tracking period, while all other undertook from locations, located along edges channels, shallow 1–2 shoals regular intervals primarily night. Three made short-term into Gulf Mexico when temperatures dropped, speeds greater than those Turtles exhibited novel behavior we termed drifting. Conclusions This study highlighted value provided studies species such as sea that surface infrequently ability these store re-upload data. Future sites, concurrent diving would provide powerful tool better understand turtles.

Language: Английский

Citations

0