Growth, biomass, carbon and nutrient pools in Gmelina arborea established in pure and mixed forest stand production systems in Mexico

New Forests ◽  
2021 ◽  
Author(s):  
Bayron Alexander Ruiz-Blandon ◽  
Eduardo Salcedo-Pérez ◽  
Ramón Rodríguez-Macías ◽  
Efrén Hernández-Álvarez ◽  
Julio Campo ◽  
...  
Keyword(s):  
Production Systems ◽  
Mixed Forest ◽  
Forest Stand ◽  
Biomass Carbon ◽  
Gmelina Arborea ◽  
Nutrient Pools

Flow modeling within a Central European forest using large-eddy simulation

2020 ◽  
Author(s):  
Max Plorin ◽  
Sandra Grunicke ◽  
Christian Bernhofer ◽  
Ronald Queck
Keyword(s):  
Laser Scanning ◽  
Mixed Forest ◽  
Forest Stand ◽  
Windward Side ◽  
Monitoring Site ◽  
Neutral Atmosphere ◽  
Vegetation Model ◽  
Lateral Direction ◽  
Central European ◽  
European Forest

<p>With the aim to simulate the exchange of energy and matter between air and vegetation, we applied the LES PALM to a typical Central European forest. The presentation shows how the level of detail within vegetation model and the orography alters the simulated flow.</p><p>The site of investigation is a managed mixed forest stand (mainly Picea abies, height 30 m; a long-term CarboEurope monitoring site) within the Tharandter Wald near Dresden, Germany. Terrestrial laser scans (TLS) provided the data basis for the high-resolution vegetation model of this forest stand and a nearby clearing (50x90 m) building the inner range of the model domain. To investigate orographic effects on the flow, we extended the domain for about 1.5 km to the west. This includes the S-Berg, which is about 40 m height and therefore the highest elevation on the windward side. We used information from airborne laser scanning (ALS) along with forest inventory data to build a vegetation model as well as a digital elevation model for the extended area (2 km in streamwise and 1.5 km in lateral direction) with a resolution of (2m)<sup>3</sup>. </p><p>In a first step, we restricted all simulations to a neutral atmosphere to exclude effect of buoyancy.</p><p>Wind data from four measurement towers (from DFG SPP 1276 MetStröm) provided data for a validation of the simulations. They were located within the inner domain along a west-east transect over the clearing.</p>

scholarly journals On the Occurrence of Natural Norway Spruce Woodland in the Pieniny Mts (Western Carpathians)

2015 ◽  
Vol 11 (2) ◽  
pp. 123-138
Author(s):  
Peter Kučera
Keyword(s):  
Picea Abies ◽  
Norway Spruce ◽  
Mixed Forest ◽  
Abies Alba ◽  
Field Research ◽  
Forest Stand ◽  
Published Data ◽  
Mountain Range ◽  
Acer Pseudoplatanus ◽  
Altitudinal Limit

Abstract According to Kulczyński (1928), a natural Picea abies forest occurs in the mountain range of the Pieniny Mts on the slopes of the mountain Vysoke skalky. Later, various data on the altitudinal range of this stand (and thus on the locality itself) were published: (1) 890 (900) - 950 m, (2) 1000 - 1050 m or (3) around 1000 m. The aim of the field research was to verify published data on the occurrence of a woodland of Upper Mountain Norway spruce (association Polysticho-Piceetum) in the territory of Vysoke skalky. A field study in the area has revealed that most of published data on the occurrence of the Kulczyński’s Picea woodland are incorrect, as its real upper altitudinal limit reaches ± 940 m. The main result is the confirmation of the real existence of a Vaccinium myrtillus-Homogyne alpina-Picea abies phytocoenosis in the territory of Vysoke skalky. However, tree species other than Picea abies (e.g. Fagus sylvatica, Abies alba, Acer pseudoplatanus) could persist in the special habitat of Kulczyński’s ‘Picea woodland’. The natural vegetation of this place was formed by mixed forest stand.

The Relationship between Soil Moisture and Root Density under Different Types Phyllostachys edulis Forests in Northern Fujian

2014 ◽  
Vol 1073-1076 ◽  
pp. 1090-1094
Author(s):  
Wei Yi Liu ◽  
Shao Hui Fan ◽  
Guang Lu Liu ◽  
Feng Ying Guan
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Soil Depth ◽  
Mixed Forest ◽  
Forest Stand ◽  
The North ◽  
Broad Leaved Forest ◽  
Relationship Model ◽  
Routine Observation ◽  
The Relationship

The soil moisture of three typical P. edulis forests (P. edulis and Cunninghamia lanceolata mixed forest, P. edulis pure forest , P. edulis and broad-leaved tree mixed forest ) in the North of Fujian province were studied in comparison with C. lanceolata pure forest and evergreen broad-leaved forest. Based on the routine observation, characteristics of spatial and temporal change of soil water content were studied. According to the roots distribution which were analyzed on different forest stand, the Linear and relationship model were established about the soil water and roots distribution. Results showed that the forest stand roots density decreasing with increasing soil depth, roots density and spatial distribution of soil moisture are related closely.

scholarly journals Measurement of Within-Season Tree Height Growth in a Mixed Forest Stand Using UAV Imagery

Forests ◽  
2017 ◽  
Vol 8 (7) ◽  
pp. 231 ◽  
Author(s):  
Jan Dempewolf ◽  
Jyoteshwar Nagol ◽  
Sebastian Hein ◽  
Carsten Thiel ◽  
Reiner Zimmermann
Keyword(s):  
Mixed Forest ◽  
Tree Height ◽  
Height Growth ◽  
Forest Stand ◽  
Tree Height Growth

scholarly journals Extreme drought alters competitive dominance within and between tree species in a mixed forest stand

2013 ◽  
Vol 27 (6) ◽  
pp. 1424-1435 ◽  
Author(s):  
Liam Cavin ◽  
Edward P. Mountford ◽  
George F. Peterken ◽  
Alistair S. Jump
Keyword(s):  
Tree Species ◽  
Mixed Forest ◽  
Forest Stand ◽  
Extreme Drought

scholarly journals Determining basic forest stand characteristics using airborne laser scanning in mixed forest stands of Central Europe

2018 ◽  
Vol 11 (1) ◽  
pp. 181-188 ◽  
Author(s):  
R Smreček ◽  
Z Michnová ◽  
I Sačkov ◽  
Z Danihelová ◽  
M Levická ◽  
...  
Keyword(s):  
Central Europe ◽  
Laser Scanning ◽  
Mixed Forest ◽  
Forest Stand ◽  
Airborne Laser Scanning ◽  
Forest Stands ◽  
Airborne Laser ◽  
Stand Characteristics

scholarly journals Using low density LiDAR data to map Mediterranean forest characteristics by means of an area-based approach and height threshold analysis

2016 ◽  
pp. 103 ◽  
Author(s):  
J. Guerra-Hernández ◽  
M. Tomé ◽  
E. González-Ferreiro
Keyword(s):  
Regression Models ◽  
Deciduous Forest ◽  
Coniferous Forest ◽  
Mixed Forest ◽  
Forest Stand ◽  
Airborne Lidar ◽  
Mediterranean Forest ◽  
Lidar Data ◽  
Low Density ◽  
Airborne Lidar Data

<p>This study reports progress in forest inventory methods involving the use of low density airborne LiDAR data and an area-based approach (ABA). It also emphasizes the usefulness of the Spanish countrywide LiDAR dataset for mapping forest stand attributes in Mediterranean stone pine forest characterized by complex orography. Lowdensity airborne LiDAR data (0.5 first returns m<sup><span lang="EN-US">–2</span></sup>) was used to develop individual regression models for a set of forest stand variables in different types of forest. LiDAR data is now freely available for most of the Spanish territory and is provided by the Spanish National Aerial Photography Program (Plan Nacional de Ortofotografía Aérea, PNOA). The influence of height thresholds (MHT: Minimun Height Threshold and BHT: Break Height Threshold) used in extracting LiDAR metrics was also investigated. The best regression models explained 61-85%, 67-98% and 74-98% of the variability in ground-truth stand height, basal area and volume, respectively. The magnitude of error for predicting structural vegetation parameters was higher in closed deciduous and mixed forest than in the more homogeneous coniferous stands. Analysis of height thresholds (HT) revealed that these parameters were not particularly important for estimating several forest attributes in the coniferous forest; nevertheless, substantial differences in volume modelling were observed when the height thresholds (MHT and BHT) were increased in complex structural vegetation (mixed and deciduous forest). A metric-by-metric analysis revealed that there were significant differences in most of the explanatory variables computed from different height thresholds (HBT and MHT).The best models were applied to the reference stands to yield spatially explicit predictions about the forest resources. Reliable mapping of biometric variables was implemented to facilitate effective and sustainable management strategies and practices in Mediterranean Forest ecosystems.</p>

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