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Mapping Ecosystem Services Flows and Dynamics Using Remote Sensing

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (31 March 2020) | Viewed by 15470

Special Issue Editors

Helmholtz Centre for Environmental Research – UFZ, Department of Computational Landscape Ecology, Permoserstr. 15, 04318 Leipzig, Germany
Interests: biodiversity; ecosystem services; optical remote sensing; biogeographical modeling; landscape multifunctionality; land use/land cover mapping

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Guest Editor
School of Geography, University of Leeds, Leeds LS2 9JT, UK
Interests: ecosystem services; public goods; remote sensing; modeling; geographical information systems; GIS; climate change; land use; land cover; common agricultural policy; farming; agriculture

Special Issue Information

Dear Colleagues,

Human population growth, changing lifestyles, and growing demands for natural resources put the world’s ecosystems under increasing pressure, often with severe impacts on their capacity to provide ecosystem services (e.g., food, clean water, fertile soils, timber, and recreational value). By emphasizing this critical role of nature in securing human well-being, the interdisciplinary ecosystem service framework has become a key concept in international agreements (e.g., the European Union Biodiversity Strategy and the UN Sustainable Development Goals).

Policies, trade, and human travel have led to a spatiotemporal disconnect between service supply (where and when services are produced) and demand (where and when they are used). These teleconnections also manifest as ‘embedded’ ecosystem services (e.g., virtual water content of traded agricultural commodities). For example, significant proportions of global cropland and pasture are used for international food trade, and embedded crop and pasture land is disproportionately allocated among countries.

Remote sensing (herein broadly defined as noncontact optical, radar, or thermal imaging) provides a unique opportunity to help to better understand those ecosystem service flows across landscapes, countries, and continents by providing detailed, recurrent, and multiscalar spatially-explicit estimates of the supply and demand of ecosystem services. Assessing both supply and demand, however, often requires using other ancillary information, such as trade data, survey/national statistics, economic and statistical models, place-based empirical studies, etc. Additionally, the combination of ‘unstructured’ information, including social media data, with biophysical data and models is an increasingly important field of research.

This Special Issue on “Mapping ecosystem services flows and dynamics using remote sensing“ calls for manuscripts that demonstrate successful combinations of remotely sensed and other data or models to map the flows and dynamics of ecosystem services. We welcome recent technological and/or methodological innovations using remotely sensed information for mapping, monitoring, or measuring dynamics of ecosystem services in terrestrial, freshwater, and marine ecosystems, or detecting (changes in) ecosystem service flows. We particularly encourage studies that consider multiple ecosystem services (covering provisioning, regulating, and cultural ecosystem services) and interdisciplinary approaches.

Specific topics include, but are not limited to:

  • Use of remote sensing data to assess spatial and temporal disconnects between ecosystem service supply and demand;
  • Monitoring of changes in ecosystem services flows;
  • Temporal dynamics of ecosystem services;
  • Impact of human use of natural resources on socioecological systems, ecosystem integrity, and biodiversity elsewhere;
  • Technological and methodological innovation at the interface of ecosystem service research and Earth observation, with a focus on linking socioeconomic and remote sensing data.

Full Articles, Reviews, and Technical Notes or Letters can be included in the Special Issue (see https://www.mdpi.com/journal/remotesensing/instructions for more information about article types). Interdisciplinary studies making use of remote sensing data from any source (satellite, airborne, drones, field spectroscopy) are especially welcomed. If you have any questions about the scope of a proposed paper or whether it would be eligible to be considered for this Special Issue, please get in touch.

Dr. Anna Cord
Dr. Guy Ziv
Guest Editors

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 submissions that pass pre-check are 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 2700 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.

Keywords

  • Remote sensing-based monitoring
  • Ecosystem service supply, demand, and flow
  • Socioecological systems
  • Temporal dynamics
  • Interdisciplinary approaches

Published Papers (3 papers)

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Research

19 pages, 3877 KiB  
Article
Understanding Intra-Annual Dynamics of Ecosystem Services Using Satellite Image Time Series
by Trinidad del Río-Mena, Louise Willemen, Anton Vrieling and Andy Nelson
Remote Sens. 2020, 12(4), 710; https://doi.org/10.3390/rs12040710 - 21 Feb 2020
Cited by 13 | Viewed by 4203
Abstract
Landscape processes fluctuate over time, influencing the intra-annual dynamics of ecosystem services. However, current ecosystem service assessments generally do not account for such changes. This study argues that information on the dynamics of ecosystem services is essential for understanding and monitoring the impact [...] Read more.
Landscape processes fluctuate over time, influencing the intra-annual dynamics of ecosystem services. However, current ecosystem service assessments generally do not account for such changes. This study argues that information on the dynamics of ecosystem services is essential for understanding and monitoring the impact of land management. We studied two regulating ecosystem services (i. erosion prevention, ii. regulation of water flows) and two provisioning services (iii. provision of forage, iv. biomass for essential oil production) in thicket vegetation and agricultural fields in the Baviaanskloof, South Africa. Using models based on Sentinel-2 data, calibrated with field measurements, we estimated the monthly supply of ecosystem services and assessed their intra-annual variability within vegetation cover types. We illustrated how the dynamic supply of ecosystem services related to temporal variations in their demand. We also found large spatial variability of the ecosystem service supply within a single vegetation cover type. In contrast to thicket vegetation, agricultural land showed larger temporal and spatial variability in the ecosystem service supply due to the effect of more intensive management. Knowledge of intra-annual dynamics is essential to jointly assess the temporal variation of supply and demand throughout the year to evaluate if the provision of ecosystem services occurs when most needed. Full article
(This article belongs to the Special Issue Mapping Ecosystem Services Flows and Dynamics Using Remote Sensing)
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36 pages, 25255 KiB  
Article
Monitoring of Urbanization and Analysis of Environmental Impact in Stockholm with Sentinel-2A and SPOT-5 Multispectral Data
by Dorothy Furberg, Yifang Ban and Andrea Nascetti
Remote Sens. 2019, 11(20), 2408; https://doi.org/10.3390/rs11202408 - 17 Oct 2019
Cited by 23 | Viewed by 5087
Abstract
There has been substantial urban growth in Stockholm, Sweden, the fastest-growing capital in Europe. The intensifying urbanization poses challenges for environmental management and sustainable development. Using Sentinel-2 and SPOT-5 imagery, this research investigates the evolution of land-cover change in Stockholm County between 2005 [...] Read more.
There has been substantial urban growth in Stockholm, Sweden, the fastest-growing capital in Europe. The intensifying urbanization poses challenges for environmental management and sustainable development. Using Sentinel-2 and SPOT-5 imagery, this research investigates the evolution of land-cover change in Stockholm County between 2005 and 2015, and evaluates urban growth impact on protected green areas, green infrastructure and urban ecosystem service provision. One scene of 2015 Sentinel-2A multispectral instrument (MSI) and 10 scenes of 2005 SPOT-5 high-resolution instruments (HRI) imagery over Stockholm County are classified into 10 land-cover categories using object-based image analysis and a support vector machine algorithm with spectral, textural and geometric features. Reaching accuracies of approximately 90%, the classifications are then analyzed to determine impact of urban growth in Stockholm between 2005 and 2015, including land-cover change statistics, landscape-level urban ecosystem service provision bundle changes and evaluation of regional and local impact on legislatively protected areas as well as ecologically significant green infrastructure networks. The results indicate that urban areas increased by 15%, while non-urban land cover decreased by 4%. In terms of ecosystem services, changes in proximity of forest and low-density built-up areas were the main cause of lowered provision of temperature regulation, air purification and noise reduction. There was a decadal ecosystem service loss of 4.6 million USD (2015 exchange rate). Urban areas within a 200 m buffer zone around the Swedish environmental protection agency’s nature reserves increased 16%, with examples of urban areas constructed along nature reserve boundaries. Urban expansion overlapped the deciduous ecological corridor network and green wedge/core areas to a small but increasing degree, often in close proximity to weak but important green links in the landscape. Given these findings, increased conservation/restoration focus on the region’s green weak links is recommended. Full article
(This article belongs to the Special Issue Mapping Ecosystem Services Flows and Dynamics Using Remote Sensing)
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24 pages, 16037 KiB  
Article
A Combined Field and Remote-Sensing Based Methodology to Assess the Ecosystem Service Potential of Urban Rivers in Developing Countries
by Manuel R. Beißler and Jochen Hack
Remote Sens. 2019, 11(14), 1697; https://doi.org/10.3390/rs11141697 - 17 Jul 2019
Cited by 16 | Viewed by 4780
Abstract
Natural rivers in urban areas bear significant potential to provide ecosystem services for the surrounding inhabitants. However, surface sealing by houses and street networks, urban drainage, disposal of waste and wastewater resulting from advancing urbanization usually lead to the deterioration of urban rivers [...] Read more.
Natural rivers in urban areas bear significant potential to provide ecosystem services for the surrounding inhabitants. However, surface sealing by houses and street networks, urban drainage, disposal of waste and wastewater resulting from advancing urbanization usually lead to the deterioration of urban rivers and their riparian areas. This ultimately damages their ability to provide ecosystem services. This paper presents an innovative methodology for a rapid and low-cost assessment of the ecological status of urban rivers and riparian areas in developing countries under data scarce conditions. The methodology uses a combination of field data and freely available high-resolution satellite images to assess three ecological status categories: river hydromorphology, water quality, and riparian land cover. The focus here is on the assessment of proxies for biophysical structures and processes representing ecological functioning that enable urban rivers and riparian areas to provide ecosystem services. These proxies represent a combination of remote sensing land cover- and field-based indicators. Finally, the three ecological status categories are combined to quantify the potential of different river sections to provide regulating ecosystem services. The development and application of the methodology is demonstrated and visualized for each 100 m section of the Pochote River in the City of León, Nicaragua. This spatially distributed information of the ecosystem service potential of individual sections of the urban river and riparian areas can serve as important information for decision making regarding the protection, future use, and city development of these areas, as well as the targeted and tailor-made development of nature-based solutions such as green infrastructure. Full article
(This article belongs to the Special Issue Mapping Ecosystem Services Flows and Dynamics Using Remote Sensing)
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