气候变化领域集成服务门户(CCPortal): Uncovering mangrove range limits using very high resolution satellite imagery to detect fine-scale mangrove and saltmarsh habitats in dynamic coastal ecotones

CCPortal

DOI	10.1002/rse2.394
	Uncovering mangrove range limits using very high resolution satellite imagery to detect fine-scale mangrove and saltmarsh habitats in dynamic coastal ecotones
	Doughty, Cheryl L.; Cavanaugh, Kyle C.; Chapman, Samantha; Fatoyinbo, Lola
发表日期	2024
EISSN	2056-3485
英文摘要	Mangroves are important ecosystems for coastal biodiversity, resilience and carbon dynamics that are being threatened globally by human pressures and the impacts of climate change. Yet, at several geographic range limits in tropical-temperate transition zones, mangrove ecosystems are expanding poleward in response to changing macroclimatic drivers. Mangroves near range limits often grow to smaller statures and form dynamic, patchy distributions with other coastal habitats, which are difficult to map using moderate-resolution (30-m) satellite imagery. As a result, many of these mangrove areas are missing in global distribution maps. To better map small, scrub mangroves, we tested Landsat (30-m) and Sentinel (10-m) against very high resolution (VHR) Planet (3-m) and WorldView (1.8-m) imagery and assessed the accuracy of machine learning classification approaches in discerning current (2022) mangrove and saltmarsh from other coastal habitats in a rapidly changing ecotone along the east coast of Florida, USA. Our aim is to (1) quantify the mappable differences in landscape composition and complexity, class dominance and spatial properties of mangrove and saltmarsh patches due to image resolution; and (2) to resolve mapping uncertainties in the region. We found that the ability of Landsat to map mangrove distributions at the leading range edge was hampered by the size and extent of mangrove stands being too small for detection (50% accuracy). WorldView was the most successful in discerning mangroves from other wetland habitats (84% accuracy), closely followed by Planet (82%) and Sentinel (81%). With WorldView, we detected 800 ha of mangroves within the Florida range-limit study area, 35% more mangroves than were detected with Planet, 114% more than Sentinel and 537% more than Landsat. Higher-resolution imagery helped reveal additional variability in landscape metrics quantifying diversity, spatial configuration and connectedness among mangrove and saltmarsh habitats at the landscape, class and patch scales. Overall, VHR satellite imagery improved our ability to map mangroves at range limits and can help supplement moderate-resolution global distributions and outdated regional maps. Discrepancies between the scales of mangrove observation and mapping have led to uncertainty in the limits and extents of mangroves at the leading edge of their geographical ranges, but we found by comparing across different satellite images that mapping at higher resolutions can supplement regional and global mapping efforts and reveal important ecological properties at local scales. Along the northeast Florida coastline, VHR mapping uncovered at least 240.6 ha of mangroves that were previously unmapped. These vanguard mangroves represent the leading edge of this range shift and are important to monitor as encroaching mangroves influence ecosystem services and future response to climate change. image
英文关键词	Coastal wetland; global climate change; landcover classification; mangroves; random forest; WorldView
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
WOS类目	Ecology ; Remote Sensing
WOS记录号	WOS:001229895400001
来源期刊	REMOTE SENSING IN ECOLOGY AND CONSERVATION
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/289863
作者单位	National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; United States Department of Energy (DOE); Oak Ridge National Laboratory; University System of Maryland; University of Maryland College Park; University of California System; University of California Los Angeles; Villanova University; Villanova University
推荐引用方式 GB/T 7714	Doughty, Cheryl L.,Cavanaugh, Kyle C.,Chapman, Samantha,et al. Uncovering mangrove range limits using very high resolution satellite imagery to detect fine-scale mangrove and saltmarsh habitats in dynamic coastal ecotones[J],2024.
APA	Doughty, Cheryl L.,Cavanaugh, Kyle C.,Chapman, Samantha,&Fatoyinbo, Lola.(2024).Uncovering mangrove range limits using very high resolution satellite imagery to detect fine-scale mangrove and saltmarsh habitats in dynamic coastal ecotones.REMOTE SENSING IN ECOLOGY AND CONSERVATION.
MLA	Doughty, Cheryl L.,et al."Uncovering mangrove range limits using very high resolution satellite imagery to detect fine-scale mangrove and saltmarsh habitats in dynamic coastal ecotones".REMOTE SENSING IN ECOLOGY AND CONSERVATION (2024).