Remote Sensing and Landscape Ecology
Ecological Processes welcomes submissions to the new thematic series on Remote Sensing and Landscape Processes.
The globally important impacts of climate change and land use changes have focused attention on the state and trends in ecosystem processes at all scales from local to global. The future conditions of terrestrial ecosystems are highly uncertain as are their tolerance to new environmental conditions and their feedbacks to the climate system, given large uncertainties in carbon, water and nutrient budgets. Key ecosystem parameters that control climate responses are beginning to be elucidated. Plant properties and traits, such as Leaf Mass Area, Leaf size, Leaf longevity, and N content, have predictive values for estimating carbon assimilation and other plant functions like transpiration rates, but these are sparsely recorded in existing databases like TRY, but many of these have potential for monitoring from remote sensing.
Remote sensing has made significant contributions to understanding changing environments at all scales. Despite good maps at high spatial resolution, it has been more difficult to apply remote sensing data to landscape level ecosystem processes. In recent years, advances in a number of technologies, including airborne remote sensing using imaging spectrometers in the solar and thermal parts of the EM spectrum, LiDAR and other remote sensing instruments have increased our ability to monitor processes in the landscape. Related developments that have expanded include modeling capability of fluxnet data from a wide variety of ecosystems and field-based remote sensing instruments and networks like SpecNet. With these tools have come advances in monitoring photosynthetic light use efficiency, chlorophyll fluorescence, photosynthetic state, evapotranspiration, and drought response among others.
Potential topics include, but are not limited to:
- Direct mapping of landscape processes and changes under changing climates in processes using Remote Sensing data
- Direct mapping of landscape ecophysiological processes under changing climates using Remote Sensing data
- Indirect mapping of landscape processes using Remote Sensing data
- Remote Sensing of plant functionality in changing landscapes
- Remote Sensing of tipping points and ecosystem process changes
- Remote Sensing of ecosystem functioning
- Remote Sensing of plant traits and plant functionality
- Comparison and evaluation of different remote sensing methods for monitoring landscape scale plant and ecosystem processes
- Improvement and evaluation of input data used for modeling the carbon budget and predicting future states and conditions
- Review articles covering one or more of these topics are also welcome
Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for the Ecological Processes. The complete manuscript should be submitted through the Ecological Processes submission system. To ensure that you submit to the correct thematic series please select the appropriate section in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the Special Issue on 'Remote Sensing and Landscape Processes'. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Deadline for submissions: 31st December 2016
Lead guest editor
Dr. Susan Ustin, University of California - Davis
Submissions will also benefit from the usual advantages of open access publication:
- Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
- High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
- No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
- Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed
For editorial enquiries please contact firstname.lastname@example.org.
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