Carbon sequestration in mixed deciduous forests: The importance of mid-storey trees for forest productivity

2021 ◽  
Author(s):  
Anne Holtmann ◽  
Andreas Huth ◽  
Felix Pohl ◽  
Corinna Rebmann ◽  
Rico Fischer
Keyword(s):  
Carbon Sequestration ◽  
Species Composition ◽  
Primary Productivity ◽  
Stand Structure ◽  
Forest Productivity ◽  
Forest Stand ◽  
Gross Primary Productivity ◽  
Small Scale ◽  
Stand Productivity ◽  
Simulation Results

<p>Forests play an important role in climate regulation due to carbon sequestration. However, a deeper understanding of forest carbon flux dynamics are often missing due to a lack of information about forest structure and species composition, especially for non-even-aged and mixed forests. In this study, we combined field inventory data of a mixed deciduous forest in Germany with an individual-based forest gap model to investigate daily carbon fluxes and to examine the role of tree size and species composition for the overall stand productivity. Simulation results show that the forest model is capable to reproduce daily eddy covariance measurements (R<sup>2</sup> of 0.73 for gross primary productivity and of 0.65 for ecosystem respiration). The simulation results showed that the forest act as a carbon sink with a net uptake of 3.2 t<sub>C</sub> ha<sup>-1</sup> yr<sup>-1</sup>  (net ecosystem productivity) and an overall gross primary productivity of 18.2  t<sub>C</sub> ha<sup>-1</sup> yr<sup>-1</sup>. At the study site, medium sized trees (30-60cm) account for the largest share (66%) of the total productivity. Small (0-30cm) and large trees (>60cm) contribute less with 8.5% and 25.5% respectively. Simulation experiments showed, that species composition showed less effect on forest productivity. Stand productivity therefore is highly depended on vertical stand structure and light climate. Hence, it is important to incorporate small scale information’s about forest stand structure into modelling studies to decrease uncertainties of carbon dynamic predictions. Experiments with such a modelling approach might help to investigate large scale mitigation strategies for climate change that takes local forest stand characteristics into account.</p>

scholarly journals Carbon Sequestration in Mixed Deciduous Forests: The Influence of Tree Size and Species Composition Derived from Model Experiments

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 726
Author(s):  
Anne Holtmann ◽  
Andreas Huth ◽  
Felix Pohl ◽  
Corinna Rebmann ◽  
Rico Fischer
Keyword(s):  
Carbon Sequestration ◽  
Species Composition ◽  
Stand Structure ◽  
Deciduous Forest ◽  
Ecosystem Respiration ◽  
Carbon Fluxes ◽  
Tree Size ◽  
Small Scale ◽  
Forest Stand Structure ◽  
Large Trees

Forests play an important role in climate regulation due to carbon sequestration. However, a deeper understanding of forest carbon flux dynamics is often missing due to a lack of information about forest structure and species composition, especially for non-even-aged and species-mixed forests. In this study, we integrated field inventory data of a species-mixed deciduous forest in Germany into an individual-based forest model to investigate daily carbon fluxes and to examine the role of tree size and species composition for stand productivity. This approach enables to reproduce daily carbon fluxes derived from eddy covariance measurements (R2 of 0.82 for gross primary productivity and 0.77 for ecosystem respiration). While medium-sized trees (stem diameter 30–60 cm) account for the largest share (66%) of total productivity at the study site, small (0–30 cm) and large trees (>60 cm) contribute less with 8.3% and 25.5% respectively. Simulation experiments indicate that vertical stand structure and shading influence forest productivity more than species composition. Hence, it is important to incorporate small-scale information about forest stand structure into modelling studies to decrease uncertainties of carbon dynamic predictions.

scholarly journals Stand Structure, Productivity and Carbon Sequestration Potential of Oak Dominated Forests in Kumaun Himalaya

2016 ◽  
Vol 11 (2) ◽  
pp. 466-476
Author(s):  
Bijendra Lal ◽  
L.S. Lodhiyal
Keyword(s):  
Carbon Sequestration ◽  
Primary Productivity ◽  
Tree Species ◽  
Stand Structure ◽  
Basal Area ◽  
Forest Site ◽  
Forest Sites ◽  
Sequestration Potential ◽  
Oak Tree ◽  
Quercus Leucotrichophora

Present study deals with stand structure, biomass, productivity and carbon sequestration in oak dominated forests mixed with other broad leaved tree species. The sites of studied forests were located in Nainital region between 29058’ N lat. and 79028’ E long at 1500-2150 m elevation. Tree density of forests ranged from 980-1100 ind.ha-1. Of this, oak trees shared 69-97%. The basal area of trees was 31.81 to 63.93 m2 ha-1. R. arboreum and Q. floribunda shared maximum basal area 16.45 and 16.32 m2 ha-1, respectively in forest site-1 and 2 while Quercus leucotrichophora shared maximum (35.69 m2 ha-1) in site-3. The biomass and primary productivity of tree species ranged from 481-569 t ha-1 and 16.9-20.9 t ha-1yr-1, respectively. Of this, biomass and primary productivity of oak tree species accounted for 81 to 95 and 78 to 98%, respectively. Carbon stock and carbon sequestration ranged from 228 to 270 t ha-1 and 8.0 to 9.9 t ha-1yr-1, respectively. The share of oak tree species ranged from 81 to 94.7 and 79 to 97%, respectively. The diversity of tree species ranged from 0.03 to 0.16 in forest sites-1, 2 and 3. The diversity of oak species was 0.08-0.16 in all the forest sites. Thus it is concluded that among the oak tree species, Quercus floribunda and Quercus leucotrichophora were highly dominated in the studied forests. The climax form of oak dominated trees in the studied forest sites depicted slightly lower richness and diversity of tree species compared to the forests in the region and elsewhere. As far as dry matter and carbon of forests is concerned, these estimates are close to the earlier reports of forests in the region. Therefore, studied forests have the potential to increase the diversity, productivity and carbon sequestration of forest tree species by providing the adequate scientific conservation and management inputs.

scholarly journals Environmental Effects on Normalized Gross Primary Productivity in Beech and Norway Spruce Forests

Atmosphere ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1128
Author(s):  
Caleb Mensah ◽  
Ladislav Šigut ◽  
Milan Fischer ◽  
Lenka Foltýnová ◽  
Georg Jocher ◽  
...  
Keyword(s):  
Primary Productivity ◽  
Environmental Conditions ◽  
Multiple Linear Regression Model ◽  
Environmental Parameters ◽  
Forest Productivity ◽  
Climatic Conditions ◽  
Gross Primary Productivity ◽  
Forest Types ◽  
Local Conditions ◽  
Diffuse Fraction

The strong effects of climate change are expected to negatively impact the long-term resilience and function of forest ecosystems, which could lead to changes in forest carbon balance and productivity. However, these forest responses may vary with local conditions and forest types. Accordingly, this study was carried out to determine gross primary productivity (GPP) sensitivity to changes in environmental parameters. Central European beech (at Štítná) and spruce species (at Bílý Kr̆íz̆ and Rájec), growing under contrasting climatic conditions, were studied. The comparative analyses of GPP were based on a five-year-long dataset of eddy covariance fluxes during the main growing season (2012–2016). Results of forest GPP responses with changes in environmental factors from a traditional Stepwise multiple linear regression model (SMLR) were used and compared with Random forest (RF) analyses. To demonstrate how actual GPP trends compare to potential GPP (GPPpot) courses expected under near-optimal environmental conditions, we computed normalized GPP (GPPnorm) with values between 0 and 1 as the ratio of the estimated daily sum of GPP to GPPpot. The study confirmed the well-known effect of total intensity of the photosynthetically active radiation and its diffuse fraction on GPPnorm across all the forest types. However, the study also showed the secondary effects of other environmental variables on forest productivity depending on the species and local climatic conditions. The reduction in forest productivity at the beech forest in Štítná was presumed to be mainly induced by edaphic drought (anisohydric behaviour). In contrast, reduced forest productivity at the spruce forest sites was presumably induced by both meteorological and hydrological drought events, especially at the moderately dry climate in Rájec. Overall, our analyses call for more studies on forest productivity across different forest types and contrasting climatic conditions, as this productivity is strongly dependent on species type and site-specific environmental conditions.

scholarly journals Principles and methods of developing a map “Geographical patterns of natural regeneration and forest stand productivity”

2020 ◽  
Vol 26 (4) ◽  
pp. 73-89
Author(s):  
Nadezda Kiseleva
Keyword(s):  
Natural Regeneration ◽  
Thermal Conditions ◽  
Forest Stand ◽  
Forest Growth ◽  
General Idea ◽  
Small Scale ◽  
Central Siberia ◽  
Geographical Patterns ◽  
Stand Productivity ◽  
Air Temperatures

A special series of small-scale maps (approximate scale 1 : 7 500 000–1 : 8 000 000) is necessary for more effective forestry management in Russia and ensuring the stable functioning of this sector of the economy to create. These maps should give a holistic spatial representation of the object of forestry activity, they will allow to give a realistic assessment of the forest resource potential of the country. One of the maps in the series is “Geographical patterns of natural regeneration and forest stand productivity”. The basic principles of the map constructing are: general geographical patterns of main forest-forming species natural regeneration on clearings and general geographical patterns of productivity of the stand of all forest-forming species (in bonitet); the idea of V.V. Dokuchaev about the similarity of altitudinal mountain zonation to natural zones and subzones of plains. Zonal, subzonal, and altitudinal-zonal natural complexes, the formation of which is determined by the climate, serve as units of mapping. The methodology for constructing the map was verified using the example of the thermal conditions of forest growth in Central Siberia. Four indicators from 147 weather stations were used for this (calculated for the period from 1881 to 1980). Three indicators — the average monthly air temperatures in January and July and the average annual air temperature give a general idea of the thermal conditions of forest growth in Central Siberia. The sum of the average daily air temperatures above 10°C, which is the fourth indicator, characterizes the period of the most active vegetation of tree species. These indicators are summarized in a table constructed on the basis of the similarity of altitudinal zonation of natural complexes to zonal and subzonal. The article presents construction methodology, a fragment and the map legend.

scholarly journals Satellite-based Sun-Induced Chlorophyll Fluorescence in the Greater Alpine Space: Spatial Patterns and Relationship to Gross Primary Productivity

2020 ◽  
Author(s):  
Ulisse Gomarasca ◽  
Gregory Duveiller ◽  
Alessandro Cescatti ◽  
Georg Wohlfahrt
Keyword(s):  
Remote Sensing ◽  
Chlorophyll Fluorescence ◽  
Land Cover ◽  
Spatial Patterns ◽  
Primary Productivity ◽  
Climate Models ◽  
Gross Primary Productivity ◽  
Accurate Estimation ◽  
Small Scale ◽  
Alpine Space

<p>Accurate estimation of terrestrial gross primary productivity is essential for the development of credible future carbon cycle and climate simulations. Current remote sensing techniques allow retrieval of sun-induced chlorophyll fluorescence (SIF) as a valid proxy for GPP, but low resolution, sparse coverage, or resolution mismatches between the different satellite sensors hinder our ability to effectively link SIF to many environmental variables at fine scales. In order to better characterize heterogeneous landscapes, several attempts to downscale SIF products to higher resolutions have been made. We investigate the ability of the downscaled GOME-2 product developed by Duveiller et al. (2019), to capture the differences in spatiotemporal dynamics over the Greater Alpine Space. We analyse SIF in connection to land cover and elevation, and calculate land phenology metrics based on seasonal SIF time series. Ground-based GPP validation suggests biome-specific SIF-GPP relationships, but the comparison was hindered by the resolution mismatch of the data. Moreover, missing data are present at high elevations, diminishing the suitability of current SIF products to analyse cloud-prone mountainous areas. Important insights into spatial patterns and seasonal trends could be inferred at forest and other large-area land cover types, typical of mid elevations in the Alps, but many anthropogenic habitats at low elevations, as well as high elevation grasslands and other small-scale heterogeneous environments could not be thoroughly investigated and are likely to be underrepresented or prone to biases. Similar downscaling procedures might be applied at finer scales to e.g. TROPOMI products, or alternative advanced remote sensing SIF techniques and instruments might be needed in order to enable detailed and systematic evaluations of the Alpine region or similar highly heterogenous landscapes, before a process-oriented monitoring and unbiased implementation into climate models may be performed.</p>

scholarly journals The Pattern Recognition of Small-Scale Privately-Owned Forest in Ciamis Regency, West Java, Indonesia

2022 ◽  
pp. 104-120
Author(s):  
Siarudin Mohamad ◽  
San Afri Awang ◽  
Ronggo Sadono ◽  
Priyono Suryanto
Keyword(s):  
Spatial Distribution ◽  
Species Composition ◽  
Stand Structure ◽  
Small Scale ◽  
Cropping Patterns ◽  
Silhouette Index ◽  
Group 3 ◽  
Group 2 ◽  
Privately Owned ◽  
Group 1

Small-scale Privately-owned Forest (SSPF) has various patterns identification, based on the stand structure and species composition. The recognition and classification of the SSPF cropping patterns are required for further planning and policy development. Therefore, this study aims to classify the cropping pattern of SSPF in Ciamis Regency, West Java Province, Indonesia. The data were collected by observing the stand structure and species composition of 150 plots of land, encompassing three Sub-districts representing the central, northern, and southern regions of Ciamis Regency. The four categorical variables include tree species composition, age, spatial distribution, and intercropping pattern. While the two continuous variables were stand density and basal area. The patterns obtained were classified based on a Two-Step Cluster algorithm with log-likelihood distance measure, and auto clustering using Schwarz's Bayesian Information Criterion, validated by silhouette index. In addition, a multicollinearity test was conducted to reduce redundancy in using variable sets. The results showed that, the improvement of the cluster quality based on the silhouette index value, was achievable by excluding the tree spatial distribution variable, which exhibits multicollinearity. The cropping patterns were classified into three categories, namely tree crops, mixed-tree lots, and agrisilviculture for group-1, group-2, and group-3, respectively. Group-1 consisted of stands with one or two commercial tree species, and in several cases, were intercropped. Group-2 contained uneven-aged mixed-tree stands without any crops. While Group-3 consisted of an intercropping system of uneven-aged mixed-tree stands and crops. The results suggest further analysis, in order to relate the cropping patterns with the socio-economic characteristics of the landowners, as well as the strategies for the development of a sustainable SSPF.

Coupled long-term summer warming and deeper snow alters species composition and stimulates gross primary productivity in tussock tundra

Oecologia ◽  
2016 ◽  
Vol 181 (1) ◽  
pp. 287-297 ◽  
Author(s):  
A. Joshua Leffler ◽  
Eric S. Klein ◽  
Steven F. Oberbauer ◽  
Jeffrey M. Welker
Keyword(s):  
Species Composition ◽  
Primary Productivity ◽  
Gross Primary Productivity ◽  
Tussock Tundra ◽  
Summer Warming

Langfristige Entwicklung von zwei Waldgesellschaften im Białowieża-Urwald

2008 ◽  
Vol 159 (4) ◽  
pp. 80-90 ◽  
Author(s):  
Bogdan Brzeziecki ◽  
Feliks Eugeniusz Bernadzki
Keyword(s):  
Species Composition ◽  
Tree Species ◽  
Stand Structure ◽  
Temporal Dynamics ◽  
Structural Parameters ◽  
Forest Communities ◽  
Natural Forests ◽  
Tree Species Composition ◽  
Strong Trend ◽  
Long Term Study

The results of a long-term study on the natural forest dynamics of two forest communities on one sample plot within the Białowieża National Park in Poland are presented. The two investigated forest communities consist of the Pino-Quercetum and the Tilio-Carpinetum type with the major tree species Pinus sylvestris, Picea abies, Betula sp., Quercus robur, Tilia cordata and Carpinus betulus. The results reveal strong temporal dynamics of both forest communities since 1936 in terms of tree species composition and of general stand structure. The four major tree species Scots pine, birch, English oak and Norway spruce, which were dominant until 1936, have gradually been replaced by lime and hornbeam. At the same time, the analysis of structural parameters indicates a strong trend towards a homogenization of the vertical stand structure. Possible causes for these dynamics may be changes in sylviculture, climate change and atmospheric deposition. Based on the altered tree species composition it can be concluded that a simple ≪copying≫ (mimicking) of the processes taking place in natural forests may not guarantee the conservation of the multifunctional character of the respective forests.

Sign in / Sign up

Export Citation Format

Share Document