Article
Plant Sciences
Eleonora Franceschi, Astrid Moser-Reischl, Martin Honold, Mohammad Asrafur Rahman, Hans Pretzsch, Stephan Pauleit, Thomas Roetzer
Summary: The study revealed that urban trees are affected by urbanization with varying degrees of drought tolerance. Among them, Robinia pseudoacacia and Platanus x acerifolia are less affected by urbanization and show the highest drought tolerance in urban environments.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Environmental Sciences
Nathan R. Pavlovic, Shih Ying Chang, Jiaoyan Huang, Kenneth Craig, Christopher Clark, Kevin Horn, Charles T. Driscoll
Summary: This study used machine learning models to assess the impact of nitrogen and sulfur atmospheric deposition on tree species and calculated the uncertainty of critical loads. The research found a significant uncertainty range that should be considered in management and decision-making.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Ecology
Yisheng Peng, Lili Zhao, Mengxing Wu, Xiaoli Yu, Huaye Sun, Zhonghan Chen, Ziying He
Summary: Aquaculture is a rapidly growing industry that leads to nitrogen-rich wastewater discharge into mangroves, impacting litter decomposition. This study examined how different levels of nitrogen affect decomposition rates, chemical components, and chemical compound release in above-and belowground litter. The results showed that nitrogen input had varying effects on litter decomposition and nutrient release in mangroves, depending on species identity, litter composition, and nitrogen levels. The enrichment of nitrogen in mangroves can have both beneficial and detrimental effects on ecosystem function.
ECOSYSTEM HEALTH AND SUSTAINABILITY
(2023)
Article
Forestry
Benjamin R. Lockwood, Justin T. Maxwell, Scott M. Robeson, Tsun Fung Au
Summary: Research suggests that simply summing tree-ring widths to estimate diameter can lead to underestimations of tree diameter, resulting in inaccurate estimates of forest productivity metrics BAI and biomass. To reduce this bias, researchers developed a regression model to adjust diameter for more accurate estimations of BAI and biomass, providing more reliable productivity estimates.
Article
Forestry
Yeongwan Seo, Daesung Lee, Jungkee Choi
Summary: This study modeled the growth of Korean red pine, Korean white pine, and Japanese larch using various equations and stem analysis data. The best-fit growth functions were selected and compared for different tree size variables. The developed models accurately predicted the tree size variables and can serve as a reference for understanding growth characteristics by species.
Article
Forestry
Anais Thomas, Pierrick Priault, Severine Piutti, Erwin Dalle, Nicolas Marron
Summary: Plantations of fast-growing tree species have emerged as a possible way to meet the increasing demand for biomass for renewable energy in Europe. The interactions between fast-growing trees and herbaceous species play a significant role in determining tree growth.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Agronomy
Luiza Tyminska-Czabanska, Jaroslaw Socha, Pawel Hawrylo, Radomir Balazy, Mariusz Ciesielski, Ewa Grabska-Szwagrzyk, Pawel Netzel
Summary: This study developed a weather-sensitive height growth model for Norway spruce using ALS data and meteorological data, finding that the height growth of Norway spruce is affected by the mean annual precipitation sum, with higher precipitation resulting in faster growth rates. The study demonstrates the potential of repeated ALS for detecting short-term variations in tree height increment and developing weather-sensitive height growth models.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Forestry
Veronica L. Dovis, Norma M. Erismann, Eduardo C. Machado, Jose A. Quaggio, Rodrigo M. Boaretto, Dirceu Mattos Junior
Summary: The study investigated the high nitrogen use efficiency in lemon trees through growth and biochemical evaluations, finding that lemon trees invest more biomass in leaves and have better photosynthetic nitrogen use efficiency compared to sweet orange trees. Despite lower nitrogen concentration, lemons exhibit higher relative growth rates and electron transport rates per unit of chlorophyll, possibly due to improved transport of CO2 to catalytic sites. Lemon trees achieve better growth with lower construction costs, attributed to increased leaf area and efficient nitrogen use.
Article
Forestry
Binyam Alemu Yosef, Hubert Hasenauer, Elisabeth Potzelsberger
Summary: The study aimed to identify factors influencing tree growth in forests and woodlands in the Amhara Regional State of Ethiopia and provide an individual tree basal area increment (BAI) model based on increment cores. Classification of tree species into groups provided a framework for organizing information that differs between vegetation types, and individual BAI models were calibrated for each group, based on the tree's response to competitive conditions. This growth model can be used to predict tree growth in Ethiopian mixed-species forests.
JOURNAL OF SUSTAINABLE FORESTRY
(2022)
Article
Forestry
Radoslaw Jagiello, Adrian Lukowski, Wojciech Kowalkowski
Summary: This article provides an unconventional interpretation of experiments comparing tree species' provenances, focusing on Polish larch. Using a sigmoid growth model, the study revealed only one growth parameter showing significant differences among provenances, with one provenance achieving the highest maximum growth acceleration. By comparing experimental plot data with a deterministic model, it was found that maximum growth rate and acceleration values were higher for the former, indicating potential factors influencing performance variations among provenances.
Article
Agronomy
HanSen Jia, Yu Zhou, JinSong Zhang, ShouJia Sun, Ping Meng
Summary: This study found that the carbon isotope analysis of tree rings can be used as an effective approach to indirectly assess the dynamics of non-structural carbohydrates (NSCs) in trees, which have a significant impact on tree biomass growth. The study also revealed a strong correlation between net ecosystem productivity based on eddy covariance (NEPEC) and tree biomass growth, and the carbon isotope ratios in tree rings can reflect the relationship between the two.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Agriculture, Dairy & Animal Science
G. Wanjala, N. Kichamu, P. Strausz, P. K. Astuti, Sz. Kusza
Summary: The reproductive performance of ewes and the survivability of lambs have a significant economic impact on sheep farming globally. Understanding the major causes of mortality can help improve flock management and prevent financial losses. A study conducted on Dorper, Red Maasai (RedM), and Merino breeds in Kenya found that RedM outperformed Dorper and Merino in weaning rate, while there was no significant difference in reproductive performance among the three breeds. However, Dorper had a higher weaning weight per lamb born compared to the other two breeds.
Article
Forestry
Xue Sun, Xingchang Wang, Chuankuan Wang, Quanzhi Zhang, Qingxi Guo
Summary: Subcanopy tree species play an important role in temperate secondary forests, but there is a lack of reported biomass equations for these species. This study established biomass equations for six common subcanopy species in Northeast China and found that including tree height as a predictor improved the model's accuracy. The allocation of biomass to different components varied among species, affecting the performance of the mixed-species model for specific biomass components.
JOURNAL OF FORESTRY RESEARCH
(2023)
Article
Forestry
Zhengning Wang, Dayang Wang, Qingqing Liu, Xianshuang Xing, Bo Liu, Shaofei Jin, Mulualem Tigabu
Summary: Litter cover has a negative effect on seedling emergence and survival, but has no significant effect on root, leaf, and total biomass. It has a positive effect on stem biomass and seedling height. Thick litter layers have a greater impact on seedling emergence, survival, and total biomass. Broadleaf litter cover has a stronger negative effect on seedling emergence and total biomass than needle litter.
Article
Remote Sensing
Luiza Tyminska-Czabanska, Pawel Hawrylo, Jaroslaw Socha
Summary: The application of remote sensing technology enables continuous and accurate mapping of forest ecosystem attributes, and site productivity is one of the most important attributes for sustainable forest management. Previous research on the influence of stand density on tree height growth has been uncertain, but this study used bitemporal ALS measurements to develop a density-sensitive tree height growth model for Scots pine and found that stand density does affect tree height growth.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)