目录
- Delineating forest stands from grid data
- Assessing the vulnerability of ecosystems to climate change based on climate exposure,vegetation stability and productivity
- Tree diversity effects on forest productivity increase through time because of spatial partitioning
- Mapping data gaps to estimate biomass across Brazilian Amazon forests
- Trade-offs between ecosystem service provision and the predisposition to disturbances:a NFI-based scenario analysis
- Effect of scots pine forest management on soil properties and carabid beetle occurrence under post-fire environmental conditions-a case study from Central Europe
- Evaluating soil nutrients of Dacrydium pectinatum in China using machine learning techniques
- Influence of voxel size on forest canopy height estimates using full-waveform airborne LiDAR data
- Soil-plant co-stimulation during forest vegetation restoration in a subtropical area of southern China
- Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system
- Addressing soil protection concerns in forest ecosystem management under climate change
- Species richness,forest types and regeneration of Schima in the subtropical forest ecosystem of Yunnan,southwestern China
- Dynamics of dead wood decay in Swiss forests
- Analysing the quality of Swiss National Forest Inventory measurements of woody species richness
- Effects of afforestation of agricultural land with grey alder(Alnus incana(L.)Moench)on soil chemical properties,comparing two contrasting soil groups
- Litterfall dynamics and soil carbon and nitrogen stocks in the Brazilian palm swamp ecosystems
- Organic matter quality of forest floor as a driver of C and P dynamics in acacia and eucalypt plantations established on a Ferralic Arenosols,Congo
- Trees of Panama:A complete checklist with every geographic range
- Allometric models for estimating aboveground biomass in the tropical woodlands of Ghana,West Africa
- Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data,accounting for tree-level allometric and LiDAR model errors
- Predicting stand age in managed forests using National Forest Inventory field data and airborne laser scanning