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Linear Infrastructure Networks with Ecological Solutions
Edited by Sara Santos, Clara Grilo, Fraser Shilling, Manisha Bhardwaj, Cristian Remus Papp

The rapid growth of linear infrastructure networks worldwide is posing a global threat to biodiversity and ecosystem services. However, in the last decades careful planning and appropriate solutions have been implemented to counteract the negative impacts of these infrastructures, that includes roads, railways, powerlines and others. Monitoring results are becoming increasingly available and innovative structures and actions are being tested and promoted. Valuable tools as landscape genetics, connectivity modelling, remote sensing, and GPS animal tracking, among other, are implemented into infrastructure planning and management. New ways of mitigation design and thinking (e.g. multifunctionality) are emerging or being consolidated. Habitats related to Linear Infrastructures are progressively seen as an opportunity for biodiversity conservation and key contributors to Green Infrastructure development.

The IENE2020 International Conference aimed to increase infrastructure sustainability by joining and sharing the experiences of those involved in linear infrastructures planning and management worldwide.

This Collection will comprise a selection of research papers presented in the IENE2020 International Conference (online, 12-14 January 2021), representing an opportunity for scientists, practitioners, agencies and policy makers to develop a new state-of-the-art in linear infrastructure sustainability. We welcome contributions related to any of the following topics:

·  Innovative solutions for Linear Infrastructure impact assessment, mitigation and monitoring

·  Challenges and opportunities for infrastructure-related habitats

·  Linear Infrastructure Ecology

·  Citizen science and the involvement of civil society

·  Legislation and Policy

Papers published: 0
Remote Sensing Applications to Monitor Ecosystem Services
Edited by Javier Martinez-Lopez, Domingo Alcaraz, Simon Willcock, Javier Cabello, Francisco J. Bonet & Joris de Vente

Landscapes are composed of heterogeneous patches containing different habitat and land cover types that should be identified in order to assess structural and functional ecosystem properties. Most ecosystem services assessments use proxy variables derived from land cover or habitats classes as input. However, land use and habitats usually show temporal dynamics that reflect differences in the functions and services provided within and between years. In this regard, the assessment of functional attributes, such as vegetation phenology, can complement and improve habitat and land cover classifications based only on structural features by including vital ecosystem functioning properties. Similarly, it is now possible to remotely estimate realised use of ecosystems (e.g. using smartphone data or social media). As a matter of fact, our ability to monitor ecosystem functions, potential services and realised use by means of remote sensing has extensively improved in the last decades in relation to new sensors, higher data availability, new algorithms, new cloud computing facilities, etc.

This Collection will comprise a selection of research papers exploring new ways in which remote sensing can be used to assess and link ecosystem functions with services. We welcome contributions related to any of the following topics:

  • Assimilation of remote sensing datasets into process-based models used to quantify ecosystem functioning, pressures and services provision.
  • Mapping habitat functional types and services.Cloud and desktop-based remote sensing tools to assess ecosystem condition, functions and services.
  • Case studies using remote sensing techniques and quantification of ecosystem services to improve the management of specific areas, for example through integration of Research Infrastructures with expert and stakeholder networks.
  • Pioneer methods and tools that use earth observation technologies to enable ecosystem accounting, including measuring ecosystem extent and condition.

Keywords: ecosystem service, remote sensing, ecosystem accounting, ecosystem functions, cloud-based remote sensing.

Papers published: 0

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