A regional assessment of land‐based carbon mitigation potentials: Bioenergy, BECCS, reforestation, and forest management by Andreas Krause, Thomas Knoke, Anja Rammig

“…The model represents the current state in Bavaria adequately, with a simulated forest biomass 12.9 ± 0.4% lower than data from national forest inventories. Future land‐use changes according to two ambitious land‐use harmonization scenarios (SSP1xRCP2.6, SSP4xRCP3.4) achieve a mitigation of 206 and 247 Mt C (2015–2100 period) via reforestation and the cultivation and burning of dedicated bioenergy crops, partly combined with carbon capture and storage. …”
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Climate change beliefs and forest management in eastern Oregon: implications for individual adaptive capacity by Angela E. Boag, Joel Hartter, Lawrence C. Hamilton, Nils D. Christoffersen, Forrest R. Stevens, Michael W. Palace, Mark J. Ducey

“…The few participants who considered or implemented intentional climate adaptation actions generally had written forest management plans containing both forest inventories and specific management goals. Improving access to resources for forest management planning may enhance fire- and climate-smart forest management by facilitating scenario visioning and formalizing intentions. …”
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Age-Based Survival Analysis of Coniferous and Broad-Leaved Trees: A Case Study of Preserved Forests in Northern Japan by Pavithra Rangani Wijenayake, Takuya Hiroshima

“…Tree mortality assessments have mainly been based on forest inventories and are mostly limited to planted forests; few studies have conducted age-based survival analyses in natural forests. …”
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Predicting Individual Tree Diameter of Larch (<i>Larix olgensis</i>) from UAV-LiDAR Data Using Six Different Algorithms by Yusen Sun, Xingji Jin, Timo Pukkala, Fengri Li

“…Individual tree detection is an increasing trend in LiDAR-based forest inventories. The locations, heights, and crown areas of the detected trees can be estimated rather directly from the LiDAR data by using the LiDAR-based canopy height model and segmentation methods to delineate the tree crowns. …”
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دراسة بعض العوامل المؤثرة في التجدد الطبيعي للصنوبر البروتي Pinus brutia Ten. في بعض المواقع المحروقة في محافظة اللاذقية(منطقة القرداحة)... by حكمت عباس, علي ثابت, منار إبراهيم

“…The following measurements were taken: geographic coordinates of each sample's centre, altitude, aspect, the slope, forest litter thickness, the proportion of gravels, stones and rocks, tree, bushes and herb cover. Forest inventories were achieved using Braun-Blanquet method. …”
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Development of allometric model for mixed and shorea tree species through synergistic analysis of remote sensing data / Nafisah Khalid by Khalid, Nafisah

“…Due to the current list, mapping and monitoring the forest inventories of this species is necessary to provide the regular report for Reducing Emissions from Deforestation and Degradation (REDD) program especially concerning the accurate estimation of total aboveground biomass in calculating the carbon stock. …”
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Improved LSTM Model for Boreal Forest Height Mapping Using Sentinel-1 Time Series by Shaojia Ge, Weimin Su, Hong Gu, Yrjö Rauste, Jaan Praks, Oleg Antropov

“…Time series of SAR imagery combined with reference ground data can be suitable for producing forest inventories. Copernicus Sentinel-1 imagery is particularly interesting for forest mapping because of its free availability to data users; however, temporal dependencies within SAR time series that can potentially improve mapping accuracy are rarely explored. …”
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Demographic changes in China's forests from 1998 to 2018 by Yanli Dong, Evgenios Agathokleous, Shirong Liu, Zhen Yu

“…Methods: We applied Forest Stability Index (FSI) and the relative change of FSI (%FSI) to describe the population dynamics of tree species and structure in China since 1998, using field-survey data collected from over 200,000 plot-records from the 6th to 9th National Forest Inventories (NFIs). Results: The overall populations of both natural and planted forests have grown rapidly from 1998 to 2018, while the range of changes in the relative tree density was more variable for natural forests (ranging from −8.53% to 42.46%) than for planted forests (ranging from −1.01% to 13.31%). …”
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Trees Diversity and Species with High Ecological Importance for a Resilient Urban Area: Evidence from Cotonou City (West Africa) by Assouhan Jonas Atchadé, Madjouma Kanda, Fousseni Folega, Hounnankpon Yédomonhan, Marra Dourma, Kperkouma Wala, Koffi Akpagana

“…The urban green frame was subdivided into six land use units, namely, establishments, residences, green spaces, commercial areas, administrative areas, and roads. The forest inventories were carried out in 149 plots with surfaces evaluated at 2500 m² each. …”
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Connecting spaceborne lidar with NFI networks: A method for improved estimation of forest structure and biomass by Paul B. May, Ralph O. Dubayah, Jamis M. Bruening, George C. Gaines, III

“…Spaceborne lidar provides a unique opportunity to supplement the field plot measurements of national forest inventories (NFIs) by providing dense measurements of vertical canopy structure. …”
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Distribution et démographie des parcs à rôniers dans la Région des Savanes du Togo by Wouyo ATAKPAMA, Kokou ATOEMNE, Hodabalo EGBELOU, Essotèbèmime PADAKALE, Komlan BATAWILA, Koffi AKPAGANA

“…It aims at: (i) mapping of the spatial distribution of Borassus species (Borassus aethiopum and Borassus akeassi) and (ii) characterize the diversity and the demographic structure of roast palm parklands in the Savannah Region of Togo. Methodology: Forest inventories were done within roast palm agroforestry parklands within plots 50 m X 50 m. …”
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National-scale estimation of gross forest aboveground carbon loss: a case study of the Democratic Republic of the Congo by A Tyukavina, S V Stehman, P V Potapov, S A Turubanova, A Baccini, S J Goetz, N T Laporte, R A Houghton, M C Hansen

“…The Democratic Republic of the Congo (DRC) is among the countries where national forest inventories (NFI) are either non-existent or out of date. …”
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Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data by Svetlana Saarela, Sören Holm, Sean P. Healey, Hans-Erik Andersen, Hans Petersson, Wilmer Prentius, Paul L. Patterson, Erik Næsset, Timothy G. Gregoire, Göran Ståhl

“…Recent developments in remote sensing (RS) technology have made several sources of auxiliary data available to support forest inventories. Thus, a pertinent question is how different sources of RS data should be combined with field data to make inventories cost-efficient. …”
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Forest vegetation in western Romania in relation to climate variables: Does community composition reflect modelled tree species distribution? by S. Heinrichs, H. Walentowski, E. Bergmeier, K.-H. Mellert, A. Indreica, Y. Kuzyakov, Ch. Leuschner, A.M. Petrițan, M. Teodosiu

“…Phytosociological relevés that differentiate between subspecies (or microspecies) of sessile oak with differing habitat requirements should be considered to complement national forest inventories and species distribution maps when modelling rear distribution edges. …”
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Rethinking the nature of intraspecific variability and its consequences on species coexistence by Camille Girard‐Tercieux, Isabelle Maréchaux, Adam T. Clark, James S. Clark, Benoît Courbaud, Claire Fortunel, Joannès Guillemot, Georges Künstler, Guerric leMaire, Raphaël Pélissier, Nadja Rüger, Ghislain Vieilledent

“…Third, using tree growth data from long‐term tropical forest inventories in French Guiana, Panama and India, we showed that tree growth in tropical forests is structured spatially and that despite a large observed IV at the population level, conspecific individuals perform more similarly locally than compared with heterospecific individuals. …”
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Continuous Forest Monitoring Using Cumulative Sums of Sentinel-1 Timeseries by Javier Ruiz-Ramos, Armando Marino, Carl Boardman, Juan Suarez

“…These results emphasize the capabilities of dense SAR time-series for environmental monitoring and provide a useful tool for optimizing national forest inventories.…”
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Current status of habitat monitoring in the European Union according to Article 17 of the Habitats Directive, with an emphasis on habitat structure and functions and on Germany by Götz Ellwanger, Stephan Runge, Melanie Wagner, Werner Ackermann, Melanie Neukirchen, Wenke Frederking, Christina Müller, Axel Ssymank, Ulrich Sukopp

“…Some Member States established a special standardised monitoring programme for Article 11 of the Habitats Directive, while others used data from already existing programmes (e.g. habitat mapping, large-scale forest inventories, landscape monitoring). Most Member States responding to the questionnaire use monitoring based on samples but the data collection, sample sizes and level of statistical certainty differ considerably. …”
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Dead wood and stand structure - relationships for forest plots across Europe by Seidling W, Travaglini D, Meyer P, Waldner P, Fischer R, Granke O, Chirici G, Corona P

“…The outcome underlines the significance of nationally enacted forest legislations for both important structural and biodiversity-relevant features of forest ecosystems and encourages similar approaches with data from national forest inventories or monitoring systems.…”
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Towards complex applications of active remote sensing for ecology and conservation by Hooman Latifi, Ruben Valbuena, Carlos Alberto Silva

“…We categorized the published contributions into the following thematic groups, with some degree of overlap: (i) ecosystem structural analysis by active data (nine studies); (ii) response of animal populations to climate dynamics as shown by active data; (iii) interactive effects of forest structure and wildlife monitoring (five studies); (iv) forest inventories assisted by active data (one study) and (v) tree type classification by active data (one study). …”
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Tree Species Classification in a Temperate Mixed Mountain Forest Landscape Using Random Forest and Multiple Datasets by Rafael Hologa, Konstantin Scheffczyk, Christoph Dreiser, Stefanie Gärtner

“…Data driven remote sensing methods provide valuable options if terrestrial approaches for forest inventories and monitoring activities cannot be applied efficiently due to restrictions or the size of the study area. …”
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