Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články
PubMed
38160816
DOI
10.1016/j.scitotenv.2023.169692
PII: S0048-9697(23)08322-5
Knihovny.cz E-zdroje
- Klíčová slova
- NDMI, NDRE, Random forest, Sentinel-1, Sentinel-2, Tree rings,
- MeSH
- ekosystém * MeSH
- klimatické změny MeSH
- lesy MeSH
- stromy MeSH
- technologie dálkového snímání * MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Evropa MeSH
- východní Evropa MeSH
To enhance our understanding of forest carbon sequestration, climate change mitigation and drought impact on forest ecosystems, the availability of high-resolution annual forest growth maps based on tree-ring width (TRW) would provide a significant advancement to the field. Site-specific characteristics, which can be approximated by high-resolution Earth observation by satellites (EOS), emerge as crucial drivers of forest growth, influencing how climate translates into tree growth. EOS provides information on surface reflectance related to forest characteristics and thus can potentially improve the accuracy of forest growth models based on TRW. Through the modelling of TRW using EOS, climate and topography data, we showed that species-specific models can explain up to 52 % of model variance (Quercus petraea), while combining different species results in relatively poor model performance (R2 = 13 %). The integration of EOS into models based solely on climate and elevation data improved the explained variance by 6 % on average. Leveraging these insights, we successfully generated a map of annual TRW for the year 2021. We employed the area of applicability (AOA) approach to delineate the range in which our models are deemed valid. The calculated AOA for the established forest-type models was 73 % of the study region, indicating robust spatial applicability. Notably, unreliable predictions predominantly occurred in the climate margins of our dataset. In conclusion, our large-scale assessment underscores the efficacy of combining climate, EOS and topographic data to develop robust models for mapping annual TRW. This research not only fills a critical void in the current understanding of forest growth dynamics but also highlights the potential of integrated data sources for comprehensive ecosystem assessments.
Centre for Climate Change Research Nicolaus Copernicus University Poland
Chair of Forest Botany TU Dresden Germany
Chair of Forest Growth and Woody Biomass Production TU Dresden Germany
DendroGreif Institute of Botany and Landscape Ecology Greifswald University Germany
Dendrolab IBL Department of Natural Forests Forest Research Institute Poland
Dendrolab IBL Department of Natural Forests Forest Research Institute Sweden
Dendrolab IBL Department of Silviculture and Forest Tree Genetics Forest Research Institute Poland
Department for Forest Technique and Economics Slovenian Forestry Institute Slovenia
Department of Botany Faculty of Science and Technology University of Debrecen Hungary
Department of Botany University of Innsbruck Austria
Department of Environment Faculty of Environment Jan Evangelista Purkyně University Czech Republic
Department of Forest Botany Dendrology and Geobiocoenology Mendel University in Brno Czech Republic
Department of Forest Botany Faculty of Forestry Istanbul University Cerrahpaşa Turkey
Department of Forest Ecology Mendel University in Brno Czech Republic
Department of Forest Physiology and Genetics Slovenian Forestry Institute Slovenia
Department of Forest Yield and Silviculture Slovenian Forestry Institute Slovenia
Department of Forestry Faculty of Agriculture University of East Sarajevo Bosnia and Herzegovina
Department of Geography Johannes Gutenberg University Germany
Department of Geography Justus Liebig University Germany
Department of Physical Geography and Geoecology Faculty of Science Charles University Czech Republic
Department of Remote Sensing Institute of Geography and Geology University of Würzburg Germany
Department of Silviculture Ukrainian National Forestry University Ukraine
Department of Soil Science and Landscape Management Nicolaus Copernicus University Poland
Department of Wood Science and Technology Biotechnical Faculty University of Ljubljana Slovenia
Faculty of Civil and Geodetic Engineering University of Ljubljana Slovenia
Faculty of Forest and Environment Eberswalde University for Sustainable Development Germany
Faculty of Forestry and Wood Sciences Czech University of Life Sciences Prague Czech Republic
Faculty of Forestry Bialystok University of Technology Poland
Forest Biometrics Laboratory Faculty of Forestry Stefan cel Mare University of Suceava Romania
Global Change Research Institute of the Czech Academy of Sciences Czech Republic
Independent researcher Hungary
Institute for Alpine Environment Eurac Research Italy
Institute for Soil Sciences HUN REN Centre for Agricultural Research Hungary
Institute of Biodiversity and Ecosystem Research Bulgarian Academy of Sciences Bulgaria
Institute of BioEconomy National Research Council Italy
Institute of Forestry and Engineering Estonian University of Life Sciences Estonia
Institute of Lowland Forestry and Environment University of Novi Sad Serbia
National Institute for Research and Development in Forestry Marin Drăcea Romania
Research Institute on Terrestrial Ecosystems Italy
Research Institute on Terrestrial Ecosystems Italy; National Biodiversity Future Centre NBFC Italy
Silviculture Group Institute of Terrestrial Ecosystems ETH Zurich Switzerland
Stefan Żeromski High School No 2 with Bilingual Departments in Sieradz Poland
TUM School of Life Sciences Technical University of Munich Germany
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