TY - BOOK ID - 145070008 TI - Forests for a Better Future Sustainability, Innovation and Interdisciplinarity AU - Lo Monaco, Angela AU - Macinnis-Ng, Cate AU - Rajora, Om PY - 2022 PB - Basel MDPI Books DB - UniCat KW - Research & information: general KW - Biology, life sciences KW - Forestry & related industries KW - physical activity KW - mental health KW - landscape metrics KW - hierarchical multiple regression KW - round wood transport KW - wood supply chain KW - transport work optimization KW - sawlogs deliveries KW - sawlogs sourcing KW - small-diameter tree KW - forest biomass KW - multi-tree felling head KW - time study KW - harvesting cost KW - tree plantations KW - growth equations KW - rotation length KW - growth rates KW - poplar productivity KW - energy chain KW - residual biomass KW - isochronous rings KW - travel time KW - transport cost KW - UAV KW - VOC KW - drone sensor KW - semiconductor metal oxide gas sensors KW - alpha pinene KW - log properties KW - stack volume KW - solid wood content KW - roundwood measurement KW - wood modification KW - mechanical properties KW - physical properties KW - anti shrinkage efficiency KW - colour KW - Cameroon KW - biomass KW - poplar KW - SRC KW - thermal energy KW - life cycle assessment KW - GWP KW - wood energy supply chain KW - Lomatia hirsuta KW - Patagonia KW - pioneer tree species KW - stump shoots KW - quality wood KW - trunk analysis KW - stability of stands KW - Capreolus capreolus KW - ungulate KW - urban forests KW - human disturbances KW - daily activity KW - moon phases KW - disturbances KW - wildfires KW - natural and technogenic ecosystems KW - permafrost KW - thermal anomaly KW - soil KW - numerical simulation KW - remote sensing KW - Siberia KW - mean lifetime KW - natural forest KW - survival analysis KW - tree age distribution KW - bark structure KW - Pinus sylvestris KW - forward selection KW - bark types KW - forest therapy KW - urban environment KW - sensory gardens KW - wellbeing KW - social inclusion KW - recreational development KW - universal design KW - urban green areas KW - therapeutic space KW - deep learning KW - tree species KW - classification KW - Scots pine KW - tree-ring KW - air pollution KW - growth reduction KW - climate change KW - Poland KW - climate change mitigation KW - forest restoration KW - forest biomass estimation KW - standing and lying dead wood KW - variogram model KW - kriging regression KW - Botryosphaeriaceae KW - biocontrol KW - pine bark extracts KW - Trichoderma citrinoviride KW - VOCs KW - lytic enzymes KW - fire ignition KW - fire hazard KW - QGIS KW - InVEST KW - NDVI KW - S2 NDWI KW - risk KW - physical activity KW - mental health KW - landscape metrics KW - hierarchical multiple regression KW - round wood transport KW - wood supply chain KW - transport work optimization KW - sawlogs deliveries KW - sawlogs sourcing KW - small-diameter tree KW - forest biomass KW - multi-tree felling head KW - time study KW - harvesting cost KW - tree plantations KW - growth equations KW - rotation length KW - growth rates KW - poplar productivity KW - energy chain KW - residual biomass KW - isochronous rings KW - travel time KW - transport cost KW - UAV KW - VOC KW - drone sensor KW - semiconductor metal oxide gas sensors KW - alpha pinene KW - log properties KW - stack volume KW - solid wood content KW - roundwood measurement KW - wood modification KW - mechanical properties KW - physical properties KW - anti shrinkage efficiency KW - colour KW - Cameroon KW - biomass KW - poplar KW - SRC KW - thermal energy KW - life cycle assessment KW - GWP KW - wood energy supply chain KW - Lomatia hirsuta KW - Patagonia KW - pioneer tree species KW - stump shoots KW - quality wood KW - trunk analysis KW - stability of stands KW - Capreolus capreolus KW - ungulate KW - urban forests KW - human disturbances KW - daily activity KW - moon phases KW - disturbances KW - wildfires KW - natural and technogenic ecosystems KW - permafrost KW - thermal anomaly KW - soil KW - numerical simulation KW - remote sensing KW - Siberia KW - mean lifetime KW - natural forest KW - survival analysis KW - tree age distribution KW - bark structure KW - Pinus sylvestris KW - forward selection KW - bark types KW - forest therapy KW - urban environment KW - sensory gardens KW - wellbeing KW - social inclusion KW - recreational development KW - universal design KW - urban green areas KW - therapeutic space KW - deep learning KW - tree species KW - classification KW - Scots pine KW - tree-ring KW - air pollution KW - growth reduction KW - climate change KW - Poland KW - climate change mitigation KW - forest restoration KW - forest biomass estimation KW - standing and lying dead wood KW - variogram model KW - kriging regression KW - Botryosphaeriaceae KW - biocontrol KW - pine bark extracts KW - Trichoderma citrinoviride KW - VOCs KW - lytic enzymes KW - fire ignition KW - fire hazard KW - QGIS KW - InVEST KW - NDVI KW - S2 NDWI KW - risk UR - https://www.unicat.be/uniCat?func=search&query=sysid:145070008 AB - This book highlights the role of research in innovation and sustainability in the forest sector. The contributions included fall within the broad thematic areas of forest science and cover crucial topics such as biocontrol, forest fire risk, harvesting and logging practices, quantitative and qualitative assessments of forest products, urban forests, and wood treatments—topics that have also been addressed from an interdisciplinary perspective. The contributions also have practical applications, as they deal with the ecological and economic importance of forests and new technologies for the conservation, monitoring, and improvement of services and forest value. ER -