气候变化领域集成服务门户(CCPortal): Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe

CCPortal

DOI	10.1016/j.scitotenv.2023.169692
	Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe
	Jevsenak, Jernej; Klisz, Marcin; Masek, Jiri; Cada, Vojtech; Janda, Pavel; Svoboda, Miroslav; Vostarek, Ondrej; Treml, Vaclav; van der Maaten, Ernst; Popa, Andrei; Popa, Ionel; van der Maaten-Theunissen, Marieke; Zlatanov, Tzvetan; Scharnweber, Tobias; Ahlgrimm, Svenja; Stolz, Juliane; Sochova, Irena; Roibu, Catalin-Constantin; Pretzsch, Hans; Schmied, Gerhard; Uhl, Enno; Kaczka, Ryszard; Wrzesinski, Piotr; Senfeldr, Martin; Jakubowski, Marcin; Tumajer, Jan; Wilmking, Martin; Obojes, Nikolaus; Rybnicek, Michal; Levesque, Mathieu; Potapov, Aleksei; Basu, Soham; Stojanovic, Marko; Stjepanovic, Stefan; Vitas, Adomas; Arnic, Domen; Metslaid, Sandra; Neycken, Anna; Prislan, Peter; Hartl, Claudia; Ziche, Daniel; Horacek, Petr; Krejza, Jan; Mikhailov, Sergei; Svetlik, Jan; Kalisty, Aleksandra; Kolar, Tomas; Lavnyy, Vasyl; Hordo, Maris; Oberhuber, Walter; Levanic, Tom; Meszaros, Ilona; Schneider, Lea; Lehejcek, Jiri; Shetti, Rohan; Bosela, Michal; Copini, Paul; Koprowski, Marcin; Sass-Klaassen, Ute; Izmir, Sule Ceyda; Bakys, Remigijus; Entner, Hannes; Esper, Jan; Janecka, Karolina; del Castillo, Edurne Martinez; Verbylaite, Rita; Arvai, Matyas; de Sauvage, Justine Charlet; Cufar, Katarina; Finner, Markus; Hilmers, Torben; Kern, Zoltan; Novak, Klemen; Ponjarac, Radenko; Puchalka, Radoslaw; Schuldt, Bernhard; Dolar, Nina Skrk; Tanovski, Vladimir; Zang, Christian; Zmegac, Anja; Kuithan, Cornell; Metslaid, Marek; Thurm, Eric; Hafner, Polona; Krajnc, Luka; Bernabei, Mauro; Bojic, Stefan; Brus, Robert; Burger, Andreas; D'Andrea, Ettore; Dorem, Todor; Glaweda, Mariusz; Gricar, Jozica; Gutalj, Marko; Horvath, Emil; Kostic, Sasa; Matovic, Bratislav; Merela, Maks; Miletic, Boban; Morgos, Andras; Paluch, Rafal; Pilch, Kamil; Rezaie, Negar; Rieder, Julia; Schwab, Niels; Sewerniak, Piotr; Stojanovic, Dejan; Ullmann, Tobias; Waszak, Nella; Zin, Ewa; Skudnik, Mitja; Ostir, Kristof; Rammig, Anja; Buras, Allan
发表日期	2024
ISSN	0048-9697
EISSN	1879-1026
起始页码	913
卷号	913
英文摘要	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 (R-2 = 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.
英文关键词	Sentinel-1; Sentinel-2; Tree rings; NDMI; NDRE; Random forest
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001158139800001
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/302568
作者单位	Technical University of Munich; Slovenian Forestry Institute; Forest Research Institute; Charles University Prague; Czech University of Life Sciences Prague; Technische Universitat Dresden; National Research & Development Institute in Forestry Marin Dracea; Transylvania University of Brasov; Bulgarian Academy of Sciences; Mendel University in Brno; Czech Academy of Sciences; Global Change Research Centre of the Czech Academy of Sciences; Stefan cel Mare University of Suceava; Mendel University in Brno; Poznan University of Life Sciences; European Academy of Bozen-Bolzano; Swiss Federal Institutes of Technology Domain; ETH Zurich; Estonian University of Life Sciences; Mendel University in Brno; Vytautas Magnus University; Slovenian Forestry Institute; Justus Liebig University Giessen; Eberswalde University for Sustainable Development; Bialystok University of Technology; Ministry of Education & Science of Ukraine; Ukrainian National Forestry University; University of Innsbruck; Slovenian Forestry Institute;...
推荐引用方式 GB/T 7714	Jevsenak, Jernej,Klisz, Marcin,Masek, Jiri,et al. Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe[J],2024,913.
APA	Jevsenak, Jernej.,Klisz, Marcin.,Masek, Jiri.,Cada, Vojtech.,Janda, Pavel.,...&Buras, Allan.(2024).Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe.SCIENCE OF THE TOTAL ENVIRONMENT,913.
MLA	Jevsenak, Jernej,et al."Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe".SCIENCE OF THE TOTAL ENVIRONMENT 913(2024).