Special Issue "Remote Sensing of Wetland Vegetation Patterns and Dynamics"
Deadline for manuscript submissions: 20 June 2022.
Interests: landscape and spatial ecology; spatial scaling; remote sensing; wetlands ecology; ecosystems ecology
Wetlands are important global climate regulators, storing C equal to that in forests and more than two-thirds that in the oceans. The plant communities that define wetlands are the basis for wetland food webs and they serve as habitat for other species. Their belowground productivity maintains the structural integrity of wetland soils, thus feeding back to landscape-forming processes, while in coastal wetlands, the fringe vegetation stabilizes shorelines and protects inland habitats from wave action. Wetland ecosystems are highly dynamic, being defined by ephemeral, seasonal or permanent flooding. Wetlands are also threatened, with over 50% having been lost world-wide. Monitoring wetland dynamics is complicated, as it requires accounting for seasonal dynamics in water fluctuation, changes in relative abundance of species, and long-lasting transitions between community types. Modeling feedbacks of wetland vegetation patterns and processes that maintain or degrade wetlands requires reliable detection of wetland vegetation and distribution patterns across landscapes. Remote sensing techniques provide the opportunity to monitor these dynamics across large spatial extents. Remote sensing of wetlands has primarily focused on detection and classification of wetland types and only to a minor degree on the plant communities within types. This diversity within wetlands, however, is important for understanding and modeling wetland nutrient cycling, primary productivity, and C storage.
This special issue is dedicated to the detection of wetland vegetation and the seasonal and inter-annual patterns of wetland vegetation dynamics, and changes in wetland communities. We are especially interested in articles on:
(1) Detection of species or communities at multiple scales.
(2) Retrieval of species- or community-specific productivity or biomass estimates.
(3) Detection of seasonal and inter-annual variability of plant community compositions.
(4) Recovery or trajectories of wetland communities after large-scale disturbances.
(5) Integration of wetland vegetation ecology and the development of new methods in remote sensing technology.Dr. Daniel Gann
Prof. Dr. Jennifer Richards
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Wetland plant communities
- Wetland plant species
- Wetland vegetation
- Primary productivity
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Authors: Liu, Mingfeng1, Leung, Felix1 and Lee, Shing Yip1, 2
Author Affiliations: 1 Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China 2 Simon F S Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
Abstract: Coastal habitat dynamics and ecosystem function in response to human-induced disturbance, especially urbanization, are of increasing concern. However, how changes in landscape composition as well as habitat quantity and quality may affect the long-term sustainability of rapidly urbanizing coasts remains unclear. This study aimed to quantify the extent, change rate, patterns, change process and interrelationships of mangrove habitats, impervious surfaces and other land cover types in Deep Bay in the Greater Bay Area, China, the world’s largest megalopolis, from 1924 to 2020. We processed historical aerial photos and multiple sources of satellite data for different types of land cover mapping. Post-classification analysis including correlation analysis, change detection analysis and landscape metrics analysis were conducted based on the long time-series land cover classification results. We found that from 1924 to 2020, mangrove habitats showed an overall increasing trend in Deep Bay, except from 1954 to 1964 there was a large-area decrease due to the construction of tidal aquaculture ponds. Mudflat areas contribute most to the expansion of mangrove habitats of about 275 ha from 1987 to 2020. At the same time, reclamation and urbanization for the construction of the megacity of Shenzhen turned large areas of water and mudflat (about 4000 ha) on the northern shore into impervious surface and urban vegetation. Overall, the landscape pattern of mangrove habitats in Deep Bay showed increasing connectivity and decreasing degree of fragmentation from 1987 to 2020. These changes have significant implications for the services, e.g. supporting migratory waterbirds, supported by these wetlands.