scholarly journals Effects of drivers and their variations on the number of stems and aboveground carbon removals in miombo woodlands of mainland Tanzania

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Bernardol John Manyanda ◽  
Emmanuel F. Nzunda ◽  
Wilson Ancelm Mugasha ◽  
Rogers Ernest Malimbwi
Keyword(s):  
Shifting Cultivation ◽  
National Forest Inventory ◽  
National Forest ◽  
Miombo Woodlands ◽  
Natural Death ◽  
Aboveground Carbon ◽  
Firewood Collection ◽  
Assessment And Monitoring ◽  
Number Of Stems ◽  
Resources Assessment

Abstract Background Removals caused by both natural and anthropogenic drivers such as logging and fire in miombo woodlands causes substantial carbon emissions. Here we present drivers and their effects on the variations on the number of stems and aboveground carbon (AGC) removals based on an analysis of Tanzania’s national forest inventory (NFI) data extracted from the National Forest Resources Assessment and Monitoring (NAFORMA) database using allometric models that utilize stump diameter as the sole predictor. Results Drivers of AGC removals in miombo woodlands of mainland Tanzania in order of importance were timber, fire, shifting cultivation, charcoal, natural death, firewood collection, poles, grazing by wildlife animals, carvings, grazing by domestic animals, and mining. The average number of stems and AGC removals by driver ranged from 0.006 to 16.587 stems ha−1 year−1 and 0.0–1.273 tCha−1 year−1 respectively. Furthermore, charcoal, shifting cultivation and fuelwood caused higher tree removals as opposed to timber, natural death and fire that accounted for higher AGC removals. Conclusions Drivers caused substantial effects on the number of stems and carbon removals. Increased mitigation efforts in addressing removals by timber, fires, shifting cultivation, charcoal and natural death would be effective in mitigating degradation in miombo woodlands of Tanzania. Additionally, site-specific studies need to be conducted to bring information that would be used for managing woodlands at local levels. This kind of study need to be conducted in other vegetation types like montane and Mangrove forest at national scale in Tanzania.

scholarly journals Drivers and their influences on variation of aboveground carbon removals in miombo woodlands of mainland Tanzania

2020 ◽  
Author(s):  
Bernardol John Manyanda ◽  
Emmanuel Fred Nzunda ◽  
Wilson Ancelm Mugasha ◽  
Rogers Ernest Malimbwi
Keyword(s):  
Carbon Emissions ◽  
Shifting Cultivation ◽  
Forest Degradation ◽  
Data Sets ◽  
Miombo Woodlands ◽  
Natural Death ◽  
Aboveground Carbon ◽  
Study Results ◽  
Assessment And Monitoring

Abstract Background Removals caused by both natural and anthropogenic drivers such as logging and fire causes substantial carbon emissions. Better insights into drivers and their variations of aboveground carbon removals is therefore needed. We assessed the drivers of aboveground carbon (AGC) removals and quantified the dynamics of removals-induced carbon emissions due to drivers using the National Forest Resources Assessment and Monitoring (NAFORMA) data sets in R software. Miombo woodlands which is the largest forest formations covering about 93% of forest land in mainland Tanzania was the case study. Results Drivers of AGC removals in miombo woodlands of mainland Tanzania in order of importance were; timber, fire, shifting cultivation, charcoal, natural death, firewood collection, poles, grazing by wildlife animals, carvings, grazing by domestic animals, and mining. The average AGC removals by drivers range from 0.0–1.273tCha− 1year− 1. Conclusions Increased mitigation efforts in addressing removals by timber, fires, shifting cultivation, charcoal and natural death would be effective in addressing forest degradation in the REDD + process in Tanzania. Since NAFORMA provides national picture on drivers and their variation on AGC removals, site-specific studies need to be conducted to bring information that would be used for local forest management. This kind of study need to be conducted in other vegetation types like Montane and Mangrove forest in Tanzania.

scholarly journals Zur Auswirkung der Hangneigungskorrektur auf Schätzwerte im Schweizerischen Landesforstinventar (LFI) | Investigation of the effect of the slope correction method as applied in the Swiss National Forest Inventory of estimates

2001 ◽  
Vol 152 (6) ◽  
pp. 215-225 ◽  
Author(s):  
Michael Köhl ◽  
Peter Brassel
Keyword(s):  
Forest Inventory ◽  
Basal Area ◽  
Correction Method ◽  
National Forest Inventory ◽  
National Forest ◽  
Average Deviation ◽  
Forest Inventories ◽  
Slope Correction ◽  
Number Of Stems ◽  
Elliptical Area

For forest inventories on slopes, it is necessary to correct the test areas, because the circular areas, when projected, become elliptical. Based on 93 samples from the Swiss National Forest Inventory (FNI), it was determined whether the simplified method, which increases the radius to match that of the elliptical area, leads to a distortion of the results. An average deviation of 2% was found between the FNI estimated values and the actual values for the basal area and the number of stems. For estimations of smaller units, greater distortions of the results are expected.

scholarly journals The State of British Columbia’s Forests: A Global Comparison

Forests ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 316
Author(s):  
Haris R. Gilani ◽  
John L. Innes
Keyword(s):  
British Columbia ◽  
Forest Management ◽  
Forest Inventory ◽  
Sustainable Forest Management ◽  
National Forest Inventory ◽  
Forest Resources ◽  
National Forest ◽  
Production Volume ◽  
Global Comparison ◽  
Resources Assessment

The Forest Resources Assessment 2015 is a comprehensive dataset from the Food and Agriculture Organization of the United Nations (FAO), which provides the opportunity to explore some of the emerging topics related to sustainable forest management. This paper assesses how forests in British Columbia, Canada, compare globally on several key sustainable forest management parameters in four domains—biophysical indicators and legal framework, management plans, data management, and stakeholder involvement. The comparison was done against eight jurisdictions, namely Australia, China, Japan, the European Union, New Zealand, the Russian Federation and the USA. To accomplish our objectives, country-specific data on sustainable forest management parameters were extracted from the 2015 FAO’s Global Forest Resources Assessment (FRA). Data specific to B.C. were sourced from Canada’s National Forest Inventory, and National Forest Database. Our results showed that British Columbia (B.C.) has one of the highest proportions of land covered with forests (57%) among all jurisdictions. The total forest area in B.C. has remained stable at around 55 million ha. The current rate of deforestation (6200 ha per year) is among the lowest in all jurisdictions. Data on the extent of primary forests in B.C. is unavailable. However, 22.6 million ha (41% of B.C.′s forests) have been classified as old growth forests (using a definition unique to B.C.). B.C. is the leading provincial forest producer by volume, and produced 67.97 million m3 of roundwood in 2015. With approximately 11 billion m3 of standing timber, roundwood production volume has held steady since 1990. In British Columbia, the National Forest Inventory—British Columbia Program (NFI-B.C.) is used to track and monitor the current status of the forests. It involves both ground plots and remote sensing. The most recent B.C. State of the Forests is one of the most comprehensive reports among all jurisdictions, using 24 topic areas, with each topic comprising several indicators of sustainable forest management. We conclude that British Columbia ranks high among other jurisdictions on several key sustainable forest management parameters with legislation and forest management regimes aiming to meet the environmental, social and economic needs of current and future generations.

scholarly journals Entwicklung der Baumarten im Schweizer Wald – methodische Überlegungen

2011 ◽  
Vol 162 (9) ◽  
pp. 326-336
Author(s):  
Philippe Duc ◽  
Urs-Beat Brändli ◽  
Fabrizio Cioldi ◽  
Adrian Lanz ◽  
Ulrich Ulmer
Keyword(s):  
Tree Species ◽  
Basal Area ◽  
National Forest Inventory ◽  
National Forest ◽  
Conifer Species ◽  
Tree Species Composition ◽  
Number Of Stems ◽  
Broadleaf Species ◽  
Methodological Considerations ◽  
Diameter Classes

Development of tree species in Swiss forests – some methodological considerations Swiss forests have been subject to more stress in recent decades due to increased climatic and biogenic disturbances. Some tree species, such as Norway spruce, have been more severely affected than others. How the tree species composition of the Swiss forest has changed during this time has been assessed with data from the Swiss National Forest Inventory (NFI). The four indicators, presence, dominance, number of stems and basal area, were examined to see: whether the changes in the most important tree species are significant; whether the indicators have developed in the same way in the two diameter classes, D1 (12–36 cm DBH) and D2 (> 36 cm DBH); and how different diameter thresholds (12 or 36 cm DBH) and different circular sample plot sizes (200 m2 or 500 m2) affect the development and significance of the indicators. All the values were estimated for the 5370 NFI forest plots that were accessible in all three inventories, NFI1 (1983–85), NFI2 (1993–95) and NFI3 (2004–06). Only in a minority of tree species did changes in the presence, dominance, number of stems and basal area develop in the same way. Most indicators for the conifer species spruce, fir and pine decreased significantly, whereas for the broadleaf species, maple and ash, as well as larch and the other conifers, they increased significantly. The basal area increased during the period investigated for all tree species except pine and spruce. The different development of the indicators number of stems and basal area can be attributed to a different development within the DBH classes D1 and D2. The inventory diameter threshold strongly affects the development of the indicator number of stems, but not that of the indicator basal area.

Large-scale estimation of aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data

2016 ◽  
Vol 186 ◽  
pp. 626-636 ◽  
Author(s):  
Liviu Theodor Ene ◽  
Erik Næsset ◽  
Terje Gobakken ◽  
Ernest William Mauya ◽  
Ole Martin Bollandsås ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Forest Inventory ◽  
Laser Scanning ◽  
Large Scale ◽  
National Forest Inventory ◽  
National Forest ◽  
Miombo Woodlands ◽  
Inventory Data ◽  
Forest Inventory Data ◽  
Airborne Laser

Steigende Bestandszahlen bei Spechten und anderen Vogelarten dank Zunahme von Totholz? | An increase in the population of woodpeckers and other bird species thanks to an increase in the quantities of deadwood?

2009 ◽  
Vol 160 (11) ◽  
pp. 334-340 ◽  
Author(s):  
Pierre Mollet ◽  
Niklaus Zbinden ◽  
Hans Schmid
Keyword(s):  
Forest Inventory ◽  
Bird Species ◽  
National Forest Inventory ◽  
Population Increase ◽  
National Forest ◽  
Forest Species ◽  
Breeding Populations ◽  
Willow Tit ◽  
Middle Spotted Woodpecker ◽  
Important Habitat

Results from the monitoring programs of the Swiss Ornithological Institute show that the breeding populations of several forest species for which deadwood is an important habitat element (black woodpecker, great spotted woodpecker, middle spotted woodpecker, lesser spotted woodpecker, green woodpecker, three-toed woodpecker as well as crested tit, willow tit and Eurasian tree creeper) have increased in the period 1990 to 2008, although not to the same extent in all species. At the same time the white-backed woodpecker extended its range in eastern Switzerland. The Swiss National Forest Inventory shows an increase in the amount of deadwood in forests for the same period. For all the mentioned species, with the exception of green and middle spotted woodpecker, the growing availability of deadwood is likely to be the most important factor explaining this population increase.

scholarly journals A multi-purpose National Forest Inventory in Bangladesh: design, operationalisation and key results

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Matieu Henry ◽  
Zaheer Iqbal ◽  
Kristofer Johnson ◽  
Mariam Akhter ◽  
Liam Costello ◽  
...  
Keyword(s):  
Climate Change ◽  
Forest Management ◽  
Data Collection ◽  
Land Cover ◽  
Forest Inventory ◽  
Sustainable Forest Management ◽  
National Forest Inventory ◽  
Forest Resources ◽  
National Forest ◽  
Land Cover Map

Abstract Background National forest inventory and forest monitoring systems are more important than ever considering continued global degradation of trees and forests. These systems are especially important in a country like Bangladesh, which is characterised by a large population density, climate change vulnerability and dependence on natural resources. With the aim of supporting the Government’s actions towards sustainable forest management through reliable information, the Bangladesh Forest Inventory (BFI) was designed and implemented through three components: biophysical inventory, socio-economic survey and remote sensing-based land cover mapping. This article documents the approach undertaken by the Forest Department under the Ministry of Environment, Forests and Climate Change to establish the BFI as a multipurpose, efficient, accurate and replicable national forest assessment. The design, operationalization and some key results of the process are presented. Methods The BFI takes advantage of the latest and most well-accepted technological and methodological approaches. Importantly, it was designed through a collaborative process which drew from the experience and knowledge of multiple national and international entities. Overall, 1781 field plots were visited, 6400 households were surveyed, and a national land cover map for the year 2015 was produced. Innovative technological enhancements include a semi-automated segmentation approach for developing the wall-to-wall land cover map, an object-based national land characterisation system, consistent estimates between sample-based and mapped land cover areas, use of mobile apps for tree species identification and data collection, and use of differential global positioning system for referencing plot centres. Results Seven criteria, and multiple associated indicators, were developed for monitoring progress towards sustainable forest management goals, informing management decisions, and national and international reporting needs. A wide range of biophysical and socioeconomic data were collected, and in some cases integrated, for estimating the indicators. Conclusions The BFI is a new information source tool for helping guide Bangladesh towards a sustainable future. Reliable information on the status of tree and forest resources, as well as land use, empowers evidence-based decision making across multiple stakeholders and at different levels for protecting natural resources. The integrated socio-economic data collected provides information about the interactions between people and their tree and forest resources, and the valuation of ecosystem services. The BFI is designed to be a permanent assessment of these resources, and future data collection will enable monitoring of trends against the current baseline. However, additional institutional support as well as continuation of collaboration among national partners is crucial for sustaining the BFI process in future.

scholarly journals Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Johannes Schumacher ◽  
Marius Hauglin ◽  
Rasmus Astrup ◽  
Johannes Breidenbach
Keyword(s):  
Forest Inventory ◽  
Regression Models ◽  
Laser Scanning ◽  
Site Index ◽  
National Forest Inventory ◽  
Airborne Laser Scanning ◽  
National Forest ◽  
Practical Applications ◽  
Airborne Laser ◽  
Sentinel 2

Abstract Background The age of forest stands is critical information for forest management and conservation, for example for growth modelling, timing of management activities and harvesting, or decisions about protection areas. However, area-wide information about forest stand age often does not exist. In this study, we developed regression models for large-scale area-wide prediction of age in Norwegian forests. For model development we used more than 4800 plots of the Norwegian National Forest Inventory (NFI) distributed over Norway between latitudes 58° and 65° N in an 18.2 Mha study area. Predictor variables were based on airborne laser scanning (ALS), Sentinel-2, and existing public map data. We performed model validation on an independent data set consisting of 63 spruce stands with known age. Results The best modelling strategy was to fit independent linear regression models to each observed site index (SI) level and using a SI prediction map in the application of the models. The most important predictor variable was an upper percentile of the ALS heights, and root mean squared errors (RMSEs) ranged between 3 and 31 years (6% to 26%) for SI-specific models, and 21 years (25%) on average. Mean deviance (MD) ranged between − 1 and 3 years. The models improved with increasing SI and the RMSEs were largest for low SI stands older than 100 years. Using a mapped SI, which is required for practical applications, RMSE and MD on plot level ranged from 19 to 56 years (29% to 53%), and 5 to 37 years (5% to 31%), respectively. For the validation stands, the RMSE and MD were 12 (22%) and 2 years (3%), respectively. Conclusions Tree height estimated from airborne laser scanning and predicted site index were the most important variables in the models describing age. Overall, we obtained good results, especially for stands with high SI. The models could be considered for practical applications, although we see considerable potential for improvements if better SI maps were available.

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