Preprints
Filtering by Subject: Forest Sciences
Comment on Evaristo & McDonnell, Global analysis of streamflow response to forest management
Published: 2019-07-25
Subjects: Earth Sciences, Environmental Sciences, Forest Management, Forest Sciences, Hydrology, Life Sciences, Physical Sciences and Mathematics, Water Resource Management
Forests play a key role in the water cycle, so both planting and removing forests can affect streamflow. In a recent Nature article1, Evaristo and McDonnell used a gradient-boosted-tree model to conclude that streamflow response to forest removal is predominantly controlled by the potential water storage in the landscape, and that removing the worlds forests would contribute an additional 34,098 [...]
Effectiveness of the Geospatial Data Processing and Use of Statistical Information for Proper Environmental Planning and Zoning: Example of the Šumava National Park, Czech Republic
Published: 2019-01-28
Subjects: Biochemistry, Biophysics, and Structural Biology, Biodiversity, Cell and Developmental Biology, Earth Sciences, Ecology and Evolutionary Biology, Education, Educational Methods, Environmental Education, Environmental Health and Protection, Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences, Environmental Studies, Forest Biology, Forest Management, Forest Sciences, Geography, Geomorphology, Life Sciences, Natural Resources and Conservation, Natural Resources Management and Policy, Other Forestry and Forest Sciences, Physical Sciences and Mathematics, Sedimentology, Social and Behavioral Sciences, Soil Science, Sustainability, Wood Science and Pulp, Paper Technology
Current paper details methodology and principles of the zoning and ranging of the nature reserve area of Sumava National Park (Czech Republic) aimed at the effective planning and monitoring special nature areas.Methodology includes complex geoecological assessment of the territory, GIS application and processing of statristical data. The specific case study includes unique nature area of the [...]
A Sensitivity Analysis Study of the SPITFIRE Fire Model
Published: 2018-10-31
Subjects: Environmental Monitoring, Environmental Sciences, Forest Sciences, Life Sciences, Other Forestry and Forest Sciences, Physical Sciences and Mathematics
This MS describes a sensitivity analysis of the SPITFIRE fire model coupled to the Lund-Potsdam-Jena (LPJ) dynamic global vegetation model (DGVM). The study aims to investigate the parameters that control how the fire model calculates burnt area across different ecosystems. In different fire systems, different parameters are found to have higher sensitivity to burnt area, but in general, [...]