Article
Forestry
Elisabet Martinez-Sancho, Emilia Gutierrez, Cristina Valeriano, Montse Ribas, Margarita I. Popkova, Vladimir V. Shishov, Isabel Dorado-Linan
Summary: Temperature and precipitation variability control the intra-annual dynamics of tree-ring formation. Scots pine growth is mainly limited by water availability, displaying a bimodal growth pattern. In contrast, pubescent oak shows a unimodal growth pattern with a significant increase in basal area, indicating better acclimation to prevailing climatic conditions.
Article
Forestry
Giulia Silvia Giberti, Camilla Wellstein, Alessio Giovannelli, Kamil Bielak, Enno Uhl, William Aguirre-Raquira, Francesco Giammarchi, Giustino Tonon
Summary: Understanding the carbon sequestration ability of trees under different climatic conditions is crucial for predicting the role of forests in mitigating global warming. This study focused on the carbon sequestration ability of Pinus sylvestris in pure and mixed forests in Central Poland. A new index called BAIden, which combines Basal Area Increment and mean ring wood density, was used to assess tree carbon sequestration ability. The results showed that the sensitivity of Pinus sylvestris to climatic variability varied depending on tree admixture, while Basal Area Increment and wood density had minimal differences between pure and mixed forests. Carbon accumulation in Pinus sylvestris was similarly sensitive to climatic variability in both forest types according to the BAIden index.
Article
Remote Sensing
Alba Viana-Soto, Mariano Garcia, Inmaculada Aguado, Javier Salas
Summary: Understanding post-fire recovery dynamics is crucial for effective management and enhancing fire resilience in Mediterranean pine forests. In this research, LiDAR and Landsat imagery were combined to analyze forest structure recovery over a 30-year period, revealing different responses in tree cover and height after fire.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Forestry
Matti Maltamo, Petteri Vartiainen, Petteri Packalen, Lauri Korhonen
Summary: This study examines the prediction of future forest growth using ALS data by measuring the periodic annual increment (PAI) of tree ring width. The results show that metrics related to intensity play a significant role in the prediction, while the effective leaf area index is not important. Additional field information can improve the accuracy of the predictions.
CANADIAN JOURNAL OF FOREST RESEARCH
(2022)
Article
Forestry
Roma Ogaya, Josep Penuelas
Summary: This study found that experimental drought in a Mediterranean holm oak forest resulted in changes in tree growth and shrub mortality, leading to alterations in species distribution and ecosystem function. The replacement of the current dominant species by a more drought-tolerant species highlights the impact of small changes in water availability on ecosystem dynamics and service provision to human society.
Article
Forestry
Lonesome Malambo, Sorin C. Popescu, Jim Rakestraw, Nian-Wei Ku, Tunde A. Owoola
Summary: This study aimed to assess the potential of mapping stem volume at a 30 m scale in eastern Texas using multisource datasets. Regression models were developed and evaluated, showing moderate to high correlation with reference stem volume estimates, especially in pine forests. The estimated volumes agreed with volumes estimated in independent sites and with US Forest Service Forest Inventory Analysis county-level volume estimates.
Article
Forestry
Albert Castillo-Lopez, Geronimo Quinonez-Barraza, Ulises Dieguez-Aranda, Jose Javier Corral-Rivas
Summary: Estimating tree volume components using compatible taper and merchantable volume systems based on volume ratio models showed over 97% explained variability for four pine species. This method proves to be a simple and consistent alternative for estimating tree volume components in forests with uneven-age and mixed-species stands in Oaxaca, Mexico.
Article
Forestry
Tomoko Tanabe, Daniel Epron, Masako Dannoura
Summary: This study focused on the impact of climate change on leaf production in evergreen conifers, proposing a new method to reconstruct annual leaf production of trees. By measuring annual shoot length to estimate leaf mass, it found that temperature and rainfall are the key climatic drivers of leaf production.
TREES-STRUCTURE AND FUNCTION
(2022)
Article
Forestry
Jan Krejza, Emil Cienciala, Jan Svetlik, Michal Bellan, Estelle Noyer, Petr Horacek, Petr Stepanek, Michal Marek
Summary: The study shows that severe drought in 2017 and 2018 resulted in significant reduction in radial stem growth of Norway spruce in Central Europe. Tree water status and elevation have an impact on growth, with severe drought negatively affecting Norway spruce growth. The current climatic conditions in the region are not suitable for growing Norway spruce at lower and middle elevations, requiring immediate forest management intervention.
TREES-STRUCTURE AND FUNCTION
(2021)
Article
Forestry
Zhongming An, Robert E. Froese
Summary: This paper presents a new method using LiDAR technology, called the unwrapping method, for estimating the volume of standing trees. It provides accurate volume estimates of tree stems and detailed images. Comparison with volume estimates derived from other formulas suggests that the unwrapping method has comparable accuracy.
CANADIAN JOURNAL OF FOREST RESEARCH
(2023)
Article
Environmental Sciences
Mark Corrao, Aaron M. Sparks, Alistair M. S. Smith
Summary: This study compares the accuracy of ForestView(R) biometrics analysis system, traditional cruise techniques, and felled tree measurements in acquiring forest inventories at an individual-tree level. The results show that ForestView(R) has a high Individual Tree Detection (ITD) accuracy and better tree height accuracy compared to traditional cruise techniques. Additionally, the study demonstrates the utility of ForestView(R) in characterizing forest structure in similar coniferous landscapes.
Article
Forestry
Maria Royo-Navascues, Edurne Martinez del Castillo, Ernesto Tejedor, Roberto Serrano-Notivoli, Luis Alberto Longares, Miguel Angel Saz, Klemen Novak, Martin de Luis
Summary: This study analyzed the effects of drought on tree growth in the Mediterranean Basin. The results showed that different pine species had varying responses to drought intensity, duration, and seasonality. Understanding these responses is crucial, especially as droughts are increasing in frequency and intensity due to climate change.
Article
Forestry
Gabriel Danyagri, Sharad K. Baral, Michaela J. Waterhouse, Teresa A. Newsome
Summary: In interior British Columbia, forest managers use thinning and fertilization to enhance tree growth. Thinning can increase tree resilience to drought, while fertilization may modify tree response to drought by changing biomass allocation. A study on long-term thinning and fertilization trials in lodgepole pine stands showed that the combination of thinning and fertilization can increase tree growth and mitigate drought stress on tree productivity in very dry-cold and dry-cold sites.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Forestry
Juha Hyyppa, Xiaowei Yu, Teemu Hakala, Harri Kaartinen, Antero Kukko, Heikki Hyyti, Jesse Muhojoki, Eric Hyyppa
Summary: The study demonstrates that a rotating laser scanner-based under-canopy UAV system can accurately estimate canopy heights and stem volumes of the majority of trees in a boreal forest. Results show that the system can measure tree heights with bias and standard error in both sparse and obstructed forest structures, and can also estimate stem volumes with a standard error of 10%.
Article
Environmental Sciences
Algirdas Augustaitis
Summary: The study found that different tree species, including Norway spruce, pine, birch, and downy birch, react differently to meteorological changes, sun activity, and ozone flux. Norway spruce was the most sensitive to ozone impact, while birch trees showed the lowest adaptive capacity.
Article
Forestry
Gherardo Chirici, Francesca Bottalico, Francesca Giannetti, Barbara Del Perugia, Davide Travaglini, Susanna Nocentini, Erico Kutchartt, Enrico Marchi, Cristiano Foderi, Marco Fioravanti, Lorenzo Fattorini, Lorenzo Bottai, Ronald E. McRoberts, Erik Naesset, Piermaria Corona, Bernardo Gozzini
Article
Environmental Sciences
Piero Battista, Marta Chiesi, Luca Fibbi, Lorenzo Gardin, Bernardo Rapi, Stefano Romanelli, Maurizio Romani, Francesco Sabatini, Elena Salerni, Claudia Perini, Fabio Maselli
Article
Environmental Sciences
Sergio Sanchez-Ruiz, Marta Chiesi, Luca Fibbi, Arnaud Carrara, Fabio Maselli, Maria Amparo Gilabert
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2018)
Article
Meteorology & Atmospheric Sciences
Marta Chiesi, Piero Battista, Luca Fibbi, Lorenzo Gardin, Maurizio Pieri, Bernardo Rapi, Maurizio Romani, Fabio Maselli
ADVANCES IN METEOROLOGY
(2018)
Article
Remote Sensing
Marta Chiesi, Piero Battista, Luca Fibbi, Lorenzo Gardin, Maurizio Pieri, Bernardo Rapi, Maurizio Romani, Francesco Sabatini, Fabio Maselli
EUROPEAN JOURNAL OF REMOTE SENSING
(2019)
Article
Forestry
Luca Fibbi, Marco Moriondo, Marta Chiesi, Marco Bindi, Fabio Maselli
ANNALS OF FOREST SCIENCE
(2019)
Article
Geochemistry & Geophysics
Fabio Maselli, Marta Chiesi, Maurizio Pieri
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2019)
Article
Plant Sciences
L. Brilli, M. Chiesi, C. Brogi, R. Magno, L. Arcidiaco, L. Bottai, G. Tagliaferri, M. Bindi, F. Maselli
URBAN FORESTRY & URBAN GREENING
(2019)
Article
Environmental Sciences
Sergio Sanchez-Ruiz, Fabio Maselli, Marta Chiesi, Luca Fibbi, Beatriz Martinez, Manuel Campos-Taberner, Francisco Javier Garcia-Haro, Maria Amparo Gilabert
Article
Environmental Sciences
Emanuele Santi, Marta Chiesi, Giacomo Fontanelli, Alessandro Lapini, Simonetta Paloscia, Simone Pettinato, Giuliano Ramat, Leonardo Santurri
Summary: This study used multi-frequency SAR data to estimate forest biomass in Tuscany, Italy, showing that an ANN algorithm could effectively estimate WV values despite the low sensitivity of C-band backscatter to WV. The results, obtained under heterogeneous forest and topographic conditions, are considered satisfactory.
Article
Green & Sustainable Science & Technology
Yamuna Giambastiani, Riccardo Giusti, Lorenzo Gardin, Stefano Cecchi, Maurizio Iannuccilli, Stefano Romanelli, Lorenzo Bottai, Alberto Ortolani, Bernardo Gozzini
Summary: Soil erosion poses a threat to soil quality and crop production, and its quantitative assessment is usually conducted using remote sensing and experimental measurements. This study proposes a method based on monitoring the volume of hilly lakes using GPS, sonar sensor, and aquatic drone, which allows for rapid estimation of erosion phenomena.
Article
Environmental Sciences
Maurizio Pieri, Marta Chiesi, Luca Fibbi, Piero Battista, Andrea Antonini, Bernardo Rapi, Francesco Sabatini, Bernardo Gozzini, Fabio Maselli
Summary: This study investigates the possibility of using interpolated or remotely sensed datasets instead of ground measurements for drought assessment in central Italy. The results show that this method is efficient and accurate for monitoring water status in different ecosystems at high spatial and temporal resolutions.
Article
Forestry
Francesca Giannetti, Gherardo Chirici, Elia Vangi, Piermaria Corona, Fabio Maselli, Marta Chiesi, Giovanni D'Amico, Nicola Puletti
Summary: This study aimed to develop a spatial approach to obtain high-resolution maps of Italian forest above-ground biomass and current annual volume increment. The results showed that the developed method was in good agreement with official estimates, and this is crucial for supporting the new Green Deal in Italy, the European Forest Strategy 2030, and the Italian Forest Strategy.
Proceedings Paper
Agronomy
S. Sanchez-Ruiz, M. Chiesi, B. Martinez, M. Campos-Taberner, F. J. Garcia-Haro, F. Maselli, M. A. Gilabert
REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XXI
(2019)