Special Issue "New Technical Advances: Explore Forest Landscape Ecology and Biodiversity Using Geographic Information Science"
Deadline for manuscript submissions: closed (30 April 2019).
Interests: Landscape ecology (spatial ecology) and geographic information sciences (GIS); Issues of biodiversity, conservation, and ecosystem management increasingly need to be addressed at large spatial and temporal scales; My research in landscape ecology puts ecological questions in such large spatial and temporal contexts; In geographic information sciences I explore new technical advances to help process and analyze large spatial data sets; The science and technology I endeavor to advance will help to solve numerous regional planning, management, conservation, and restoration problems; My research objectives are to integrate spatial modeling and geographical information systems to study landscape/regional response to various natural and social factors over large spatial and temporal domains
Interests: roles of biological processes; disturbance; climate change; and land use change on the forest carbon dynamics and tree species distribution using process-based ecosystem and landscape models (LANDIS PRO, LINKAGES); GIS; remote sensing; and geospatial statistics
Science and technology have propelled advances of forest-related research and forest management. The emergence of landscape ecology, over the past few decades, provided a new perspective in traditional forest research, building on the rich ecological theories of disturbance, succession, and equilibrium and non-equilibrium dynamics of forest ecosystems processes. It is now widely acknowledged that the future status of a forest is constrained by both local scale (stand) and large-scale (landscape) processes. From a technological perspective, geographical information systems (GIS), remote sensing, and computer simulation models have benefited greatly from the rapid development of computing capacity, easy to operate hand-held devices, the state-of-art application packages, and rapid accumulation of remotely sensed and systematic inventory data. Thus, many forest researches have achieved a new quality that can potentially help to improve forest diversity and sustainability around the world.
In light of these advances, we organized this Special Issue, “Forest Landscape Ecology and Biodiversity Using Geographic Information Science”. The Special Issue covers the topics from visualizing forest change under changing environments, spatial trends in tree species habitats, migration potentials, and capabilities to cope with a changing climate, drone-based forest structure mapping and 3D fuel modeling: Next generation spatial analysis, to spatially-explicit forest landscape modeling. These topics feed the ongoing quest for new theories and techniques in forest research and management.Prof. Dr. Hong S. He
Dr. Wen J. Wang
Dr. Frank R. Thompson
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. Forests is an international peer-reviewed open access monthly 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 1800 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.
- 3-D fuel mapping
- climatic change
- drone-based remote sensing
- ecosystem models
- forest visualization
- landscape models
- tree species migration
- wildlife habitat