scholarly journals Blodgettia sinensis sp. nov. from Lushan Mountain, China

Mycotaxon ◽  
2020 ◽  
Vol 135 (4) ◽  
pp. 825-828
Author(s):  
Xu-Gen Shi ◽  
Zhao-Huan Xu ◽  
Wei-Gang Kuang ◽  
Rafael F. Castañeda-Ruíz ◽  
Jian Ma
Keyword(s):  
Broadleaf Tree ◽  
Lushan Mountain

A new asexual fungus Blodgettia sinensis is described and illustrated from a specimen collected on dead branches of an unidentified broadleaf tree in Lushan Mountain, China. The fungus differs from other described Blodgettia species in its ellipsoidal, brown, 3(–6)-euseptate conidia with rounded apices.

Metabolic and physiological alterations indicate that the tropical broadleaf tree Eugenia uniflora L. is sensitive to ozone

2021 ◽  
Vol 769 ◽  
pp. 145080
Author(s):  
Marcela Regina Gonçalves da Silva Engela ◽  
Claudia Maria Furlan ◽  
Marisia Pannia Esposito ◽  
Francine Faia Fernandes ◽  
Elisa Carrari ◽  
...  
Keyword(s):  
Eugenia Uniflora ◽  
Physiological Alterations ◽  
Broadleaf Tree

scholarly journals Genetic Diversity and Structure of Latvian Tilia cordata Populations

2021 ◽  
Vol 75 (4) ◽  
pp. 261-267
Author(s):  
Dainis Edgars Ruņģis ◽  
Baiba Krivmane
Keyword(s):  
Genetic Diversity ◽  
Microsatellite Markers ◽  
Vegetative Reproduction ◽  
Growth Conditions ◽  
Climatic Conditions ◽  
Tilia Cordata ◽  
High Genetic Diversity ◽  
Genetic Diversity And Structure ◽  
Broadleaf Tree ◽  
Broadleaf Species

Abstract Changing climatic conditions are transforming the ecological and silvicultural roles of broadleaf tree species in northern Europe. Small-leaved lime (Tilia cordata Mill.) is distributed throughout most of Europe, and is a common broadleaf species in Latvia. This species can tolerate a broad range of environmental and ecological conditions, including temperature, water availability, and soil types. The aim of this study was to assess the genetic diversity and differentiation of Latvian T. cordata populations using nuclear microsatellite markers developed for Tilia platyphyllos. After testing of 15 microsatellite markers, Latvian T. cordata samples were genotyped at 14 micro-satellite loci. Latvian T. cordata populations had high genetic diversity, and were not overly isolated from each other, with moderate gene flow between populations. No highly differentiated populations were identified. Vegetative reproduction was identified in most analysed populations, and almost one-third of analysed individuals are of clonal origin. T. cordata has high timber production potential under the current climatic and growth conditions in Latvia, and therefore this species has potential for use in forestry, as well as playing a significant role in maintaining biodiversity and other ecosystem services.

scholarly journals Combination of Multi-Temporal Sentinel 2 Images and Aerial Image Based Canopy Height Models for Timber Volume Modelling

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 746 ◽  
Author(s):  
Johannes Schumacher ◽  
Margret Rattay ◽  
Melanie Kirchhöfer ◽  
Petra Adler ◽  
Gerald Kändler
Keyword(s):  
Forest Inventory ◽  
Point Clouds ◽  
Support Vector ◽  
Timber Volume ◽  
Volume Model ◽  
Broadleaf Tree ◽  
Multi Temporal ◽  
Conifer Trees ◽  
Volume Models ◽  
Sentinel 2

Multi-temporal Sentinel 2 optical images and 3D photogrammetric point clouds can be combined to enhance the accuracy of timber volume models on large spatial scale. Information on the proportion of broadleaf and conifer trees improves timber volume models obtained from 3D photogrammetric point clouds. However, the broadleaf-conifer information cannot be obtained from photogrammetric point clouds alone. Furthermore, spectral information of aerial images is too inconsistent to be used for automatic broadleaf-conifer classification over larger areas. In this study we combined multi-temporal Sentinel 2 optical satellite images, 3D photogrammetric point clouds from digital aerial stereo photographs, and forest inventory plots representing an area of 35,751 km2 in south-west Germany for (1) modelling the percentage of broadleaf tree volume (BL%) using Sentinel 2 time series and (2) modelling timber volume per hectare using 3D photogrammetric point clouds. Forest inventory plots were surveyed in the same years and regions as stereo photographs were acquired (2013–2017), resulting in 11,554 plots. Sentinel 2 images from 2016 and 2017 were corrected for topographic and atmospheric influences and combined with the same forest inventory plots. Spectral variables from corrected multi-temporal Sentinel 2 images were calculated, and Support Vector Machine (SVM) regressions were fitted for each Sentinel 2 scene estimating the BL% for corresponding inventory plots. Variables from the photogrammetric point clouds were calculated for each inventory plot and a non-linear regression model predicting timber volume per hectare was fitted. Each SVM regression and the timber volume model were evaluated using ten-fold cross-validation (CV). The SVM regression models estimating the BL% per Sentinel 2 scene achieved overall accuracies of 68%–75% and a Root Mean Squared Error (RMSE) of 21.5–26.1. The timber volume model showed a RMSE% of 31.7%, a mean bias of 0.2%, and a pseudo-R2 of 0.64. Application of the SVM regressions on Sentinel 2 scenes covering the state of Baden-Württemberg resulted in predictions of broadleaf tree percentages for the entire state. These predicted values were used as additional predictor in the timber volume model, allowing for predictions of timber volume for the same area. Spatially high-resolution information about growing stock is of great practical relevance for forest management planning, especially when the timber volume of a smaller unit is of interest, for example of a forest stand or a forest district where not enough terrestrial inventory plots are available to make reliable estimations. Here, predictions from remote-sensing based models can be used. Furthermore, information about broadleaf and conifer trees improves timber volume models and reduces model errors and, thereby, prediction uncertainties.

Carbon Storage in Young Chinese Fir (Cunninghamia lanceolata) Monoculture and Mixed Plantations in Subtropical China

2013 ◽  
Vol 807-809 ◽  
pp. 946-950
Author(s):  
Xiang Rong Cheng ◽  
Mu Kui Yu ◽  
Zheng Cai Li ◽  
Tong Gui Wu
Keyword(s):  
Carbon Storage ◽  
Chinese Fir ◽  
Cunninghamia Lanceolata ◽  
Ecosystem Carbon ◽  
Mixed Plantations ◽  
Significant Difference ◽  
Broadleaf Tree ◽  
Betula Luminifera ◽  
Vegetation Carbon ◽  
Overstory Tree

Mixed plantations of Chinese fir (Cunninghamia lanceolata, CL) and five broadleaf tree species (Ailanthus altissima (AA), Betula luminifera (BL), Sapindus mukurossi (SM), Tciliata varpubescens (TV) and Zelkova schnideriana (ZS)) were established. After 5 years, spatial distributions of carbon stocks were studied in Chinese fir monoculture and mixed plantations. Overstory tree carbon storages were significantly lower (P<0.05) in mixed plantations than that in Chinese fir monoculture plantations. Understory vegetation carbon storages were significantly lower (P<0.05) in CL+BL and CL+ZS plantations than in the monoculture plantations. No significant difference was observed between other mixed plantations and monoculture plantations. Litter carbon storage was significantly lower in CL+ZS plantations than in the monoculture plantations (P<0.05), there was no significant difference between other mixed plantations and monoculture plantations. Soil carbon storages (0-60 cm) in mixed plantations were higher than that in the monoculture plantations, except for CL+SM plantations. Total ecosystem carbon storage was no significant difference between monoculture and mixed plantations, except for CL+SM plantations. Nevertheless, spatial distribution of carbon storage was different among these mixed plantations.

O3 and O3+CO2 effects on a mediterranean evergreen broadleaf tree, holm oak (Quercus ilex L.)

Chemosphere ◽  
1998 ◽  
Vol 36 (4-5) ◽  
pp. 801-806 ◽  
Author(s):  
F. Manes ◽  
M. Vitale ◽  
E. Donato ◽  
E. Paoletti
Keyword(s):  
Quercus Ilex ◽  
Holm Oak ◽  
Co2 Effects ◽  
Broadleaf Tree ◽  
Evergreen Broadleaf Tree
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