Reduction of uncertainties in greenhouse gas accounting using Global Forest Watch forest loss database, LiDAR and stand wise inventory data

2020 ◽  
Author(s):  
Janis Ivanovs ◽  
Andis Lazdins ◽  
Arta Bardule
Keyword(s):  
Carbon Stock ◽  
Additional Data ◽  
National Forest Inventory ◽  
Forest Loss ◽  
Range Data ◽  
Managed Forests ◽  
Forest Change ◽  
Living Biomass ◽  
Commercial Logging ◽  
Landsat Satellite

<p>Global Forest Watch (GFW) provides a global map of forest loss derived from LANDSAT satellite imagery, providing a tool for monitoring global forest change. In managed forests, GFW mainly provides information on commercial logging. This study is part of the INVENT project which aims to improve the National Forest Inventory based estimates of Carbon stock changes in forests reported to the UNFCCC. The purpose of this study is to evaluate the feasibility of using the GFW database to detect carbon stock changes in forest stands, using LiDAR (Light Detecting and Range) data and the stand wise forest database maintained by the State Forest Service (SFS) as additional data sources.</p><p>Only those forest loss areas from GFW database, which were detected according to the national LiDAR survey, were selected for data processing, thus obtaining 3D forest information prior to felling. Information on species composition and number of trees per hectare in the forest was obtained from the SFS stand wise forest database. Living biomass estimates were then calculated for each GFW pixel. For pixels outside the SFS stand wise forest database, living biomass values were determined by extrapolation. The average estimated live biomass per forest loss pixel in GFW database is 6792 kg.</p><p>Keywords: ERA-GAS INVENT, living biomass, carbon stock.</p>

scholarly journals Evaluating the Potential of Commercial Forest Inventory Data to Report on Forest Carbon Stock and Forest Carbon Stock Changes for REDD+ under the UNFCCC

2011 ◽  
Vol 2011 ◽  
pp. 1-13 ◽  
Author(s):  
Danae Maniatis ◽  
Yadvinder Malhi ◽  
Laurent Saint André ◽  
Danilo Mollicone ◽  
Nicolas Barbier ◽  
...  
Keyword(s):  
Carbon Stock ◽  
Measurement Data ◽  
Forest Carbon ◽  
Phase 2 ◽  
Inventory Data ◽  
Ecological Data ◽  
Phase 3 ◽  
Forest Carbon Stock ◽  
Commercial Logging ◽  
Commercial Forest

In the context of the adoption at the 16th Conference of the Parties in 2010 on the REDD+ mitigation mechanism, it is important to obtain reliable data on the spatiotemporal variation of forest carbon stocks and changes (called Emission Factor, EF). A re-occurring debate in estimating EF for REDD+ is the use of existing field measurement data. We provide an assessment of the use of commercial logging inventory data and ecological data to estimate a conservative EF (REDD+ phase 2) or to report on EF following IPCC Guidance and Guidelines (REDD+ phase 3). The data presented originate from five logging companies dispersed over Gabon, totalling 2,240 plots of 0.3 hectares.We distinguish three Forest Types (FTs) in the dataset based on floristic conditions. Estimated mean aboveground biomass (AGB) in the FTs ranges from 312 to 333 Mg ha−1. A 5% accuracy is reached with the number of plots put in place for the FTs and a low sampling uncertainty obtained (± 10 to 13 Mg ha−1). The data could be used to estimate a conservative EF in REDD+ phase 2 and only partially to report on EF following tier 2 requirements for a phase 3.

scholarly journals Impact of Ex-Closure in above and below Ground Carbon Stock Biomass

Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 130
Author(s):  
Gedion Tsegay ◽  
Xiang-Zhou Meng
Keyword(s):  
Carbon Emissions ◽  
Carbon Stock ◽  
Scientific Journal ◽  
Resource Assessment ◽  
Forest Loss ◽  
Intergovernmental Panel ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
Below Ground ◽  
The Impact

Globally, there is a serious issue in carbon stock due to high deforestation and the loss of land, limited carbon storage pools in aboveground and underground forests in different regions, and increased carbon emissions to the atmosphere. This review paper highlights the impact of exclosures on above and below ground carbon stocks in biomass as a solution to globally curb carbon emissions. The data has been analyzed dependent on the Intergovernmental Panel on Climate Change (IPCC) guidelines, the Food and Agriculture Organization (FAO) Forest Resource Assessment report (FRA, 2020), and scientific journal publications mostly from the last decade, to show the research results of carbon stock and the impact of exclosures, particularly the challenges of deforestation and erosion of land and opportunities of area exclosures to provide a general outlook for policymakers. Overall, the world’s forest regions are declining, and although the forest loss rate has slowed, it has still not stopped sufficiently because the knowledge and practice of exclosures are limited. The global forest loss and carbon stock have decreased from 7.8 million ha/yr to 4.7 million ha/yr and from 668 gigatons to 662 gigatons respectively due to multiple factors that differ across the regions. However, a move toward natural rehabilitation and exclosures to reduce the emissions of Greenhouse Gas (GHGs) is needed. In the global production of carbon, the exclosure of forests plays an important role, in particular for permanent sinks of carbon.

scholarly journals Causal Analysis of Accuracy Obtained Using High-Resolution Global Forest Change Data to Identify Forest Loss in Small Forest Plots

2020 ◽  
Vol 12 (15) ◽  
pp. 2489
Author(s):  
Yusuke Yamada ◽  
Toshihiro Ohkubo ◽  
Katsuto Shimizu
Keyword(s):  
Tree Species ◽  
Forest Canopy ◽  
Sustainable Forest Management ◽  
Aerial Photographs ◽  
Fundamental Aspect ◽  
Forest Loss ◽  
Land Use Classification ◽  
Forest Change ◽  
Structural Relationships ◽  
Small Forest

Identifying areas of forest loss is a fundamental aspect of sustainable forest management. Global Forest Change (GFC) datasets developed by Hansen et al. (in Science 342:850–853, 2013) are publicly available, but the accuracy of these datasets for small forest plots has not been assessed. We used a forest-wide polygon-based approach to assess the accuracy of using GFC data to identify areas of forest loss in an area containing numerous small forest plots. We evaluated the accuracy of detection of individual forest-loss polygons in the GFC dataset in terms of a “recall ratio”, the ratio of the spatial overlap of a forest-loss polygon determined from the GFC dataset to the area of a corresponding reference forest-loss polygon, which we determined by visual interpretation of aerial photographs. We analyzed the structural relationships of recall ratio with area of forest loss, tree species, and slope of the forest terrain by using linear non-Gaussian acyclic modelling. We showed that only 11.1% of forest-loss polygons in the reference dataset were successfully identified in the GFC dataset. The inferred structure indicated that recall ratio had the strongest relationships with area of forest loss, forest tree species, and height of the forest canopy. Our results indicate the need for careful consideration of structural relationships when using GFC datasets to identify areas of forest loss in regions where there are small forest plots. Moreover, further studies are required to examine the structural relationships for accuracy of land-use classification in forested areas in various regions and with different forest characteristics.

Forest cover change patterns in Myanmar (Burma) 1990–2000

2005 ◽  
Vol 32 (4) ◽  
pp. 356-364 ◽  
Author(s):  
PETER LEIMGRUBER ◽  
DANIEL S. KELLY ◽  
MARC K. STEININGER ◽  
JAKE BRUNNER ◽  
THOMAS MÜLLER ◽  
...  
Keyword(s):  
Forest Cover ◽  
Mangrove Forests ◽  
Forest Cover Change ◽  
Charcoal Production ◽  
Important Species ◽  
Agricultural Conversion ◽  
Deforestation Rates ◽  
Commercial Logging ◽  
Closed Canopy ◽  
Landsat Satellite

Myanmar is one of the most forested countries in mainland South-east Asia. These forests support a large number of important species and endemics and have great value for global efforts in biodiversity conservation. Landsat satellite imagery from the 1990s and 2000s was used to develop a countrywide forest map and estimate deforestation. The country has retained much of its forest cover, but forests have declined by 0.3% annually. Deforestation varied considerably among administrative units, with central and more populated states and divisions showing the highest losses. Ten deforestation hotspots had annual deforestation rates well above the countrywide average. Major reasons for forest losses in these hotspots stemmed from increased agricultural conversion, fuelwood consumption, charcoal production, commercial logging and plantation development. While Myanmar continues to be a stronghold for closed canopy forests, several areas have been experiencing serious deforestation. Most notable are the mangrove forests in the Ayeyarwady delta region and the remaining dry forests at the northern edge of the central dry zone.

scholarly journals Mapping Mangrove Forest Change in Nijhum Dwip Island

2019 ◽  
Vol 11 (1-2) ◽  
pp. 217-225
Author(s):  
MM Rahman ◽  
MAT Pramanik ◽  
MI Islam ◽  
S Razia
Keyword(s):  
Mangrove Forest ◽  
Forest Cover ◽  
Storm Surges ◽  
Forest Loss ◽  
Forest Conversion ◽  
Forest Cover Change ◽  
Forest Change ◽  
Change Analysis ◽  
Coastal Belt ◽  
Land Covers

Mangroves have been planting in the coastal belt of Bangladesh to protect the inhabitants of the coastal areas from cyclones and storm surges. Nijhum Dwip is located at the southern part of Hatiya Island. Most part of the island has been planted with the mangroves in the 1970s and 1980s; while parts of the mangroves have been deforested during the past few decades. The objectives of this research were to delineate and quantify the changes in the extent of mangroves in the island. The Landsat data of 1989, 2001, 2010 and 2018 have been utilized in the study. Three major land covers, namely forest, water and other land have been interpreted and delineated by using on-screen digitizing. The quantity of mangrove forest loss in the island is estimated as 1,024 ha, while 395 ha were afforested during 1989-2018. In the decadal change analysis, it was revealed that net forest cover change was higher in 2000s compared to other two decades and it was -425 ha. The result of the study is helpful to understand the extent and pattern of forest conversion in the island and to halt further forest loss and conserve the remaining forest. J. Environ. Sci. & Natural Resources, 11(1-2): 217-225 2018

scholarly journals Drivers of Forest Loss in a Megadiverse Hotspot on the Pacific Coast of Colombia

2020 ◽  
Vol 12 (8) ◽  
pp. 1235
Author(s):  
Jesús A. Anaya ◽  
Víctor H. Gutiérrez-Vélez ◽  
Ana M. Pacheco-Pascagaza ◽  
Sebastián Palomino-Ángel ◽  
Natasha Han ◽  
...  
Keyword(s):  
Land Cover ◽  
Google Earth ◽  
Forest Loss ◽  
Forest Change ◽  
The Pacific ◽  
The Status ◽  
Land Cover Map ◽  
Decision Making Processes ◽  
Scientific Attention ◽  
Insight Into

Tropical forests are disappearing at unprecedented rates, but the drivers behind this transformation are not always clear. This limits the decision-making processes and the effectiveness of forest management policies. In this paper, we address the extent and drivers of deforestation of the Choco biodiversity hotspot, which has not received much scientific attention despite its high levels of plant diversity and endemism. The climate is characterized by persistent cloud cover which is a challenge for land cover mapping from optical satellite imagery. By using Google Earth Engine to select pixels with minimal cloud content and applying a random forest classifier to Landsat and Sentinel data, we produced a wall-to-wall land cover map, enabling a diagnosis of the status and drivers of forest loss in the region. Analyses of these new maps together with information from illicit crops and alluvial mining uncovered the pressure over intact forests. According to Global Forest Change (GFC) data, 2324 km2 were deforested in this area from 2001 to 2018, reaching a maximum in 2016 and 2017. We found that 68% of the area is covered by broadleaf forests (67,473 km2) and 15% by shrublands (14,483 km2), the latter with enormous potential to promote restoration projects. This paper provides a new insight into the conservation of this exceptional forest with a discussion of the drivers of forest loss, where illicit crops and alluvial mining were found to be responsible for 60% of forest loss.

scholarly journals Getting ready for REDD+ in Tanzania: a case study of progress and challenges

Oryx ◽  
2010 ◽  
Vol 44 (3) ◽  
pp. 339-351 ◽  
Author(s):  
Neil D. Burgess ◽  
Bruno Bahane ◽  
Tim Clairs ◽  
Finn Danielsen ◽  
Søren Dalsgaard ◽  
...  
Keyword(s):  
Forest Management ◽  
Rural Communities ◽  
Forest Cover ◽  
National Forest Inventory ◽  
Data Sets ◽  
Managed Forests ◽  
Participatory Forest Management ◽  
Forest Policies ◽  
Donor Support ◽  
Management Approaches

AbstractThe proposed mechanism for Reducing Emissions from Deforestation and Degradation (REDD+) offers significant potential for conserving forests to reduce negative impacts of climate change. Tanzania is one of nine pilot countries for the United Nations REDD Programme, receives significant funding from the Norwegian, Finnish and German governments and is a participant in the World Bank’s Forest Carbon Partnership Facility. In combination, these interventions aim to mitigate greenhouse gas emissions, provide an income to rural communities and conserve biodiversity. The establishment of the UN-REDD Programme in Tanzania illustrates real-world challenges in a developing country. These include currently inadequate baseline forestry data sets (needed to calculate reference emission levels), inadequate government capacity and insufficient experience of implementing REDD+-type measures at operational levels. Additionally, for REDD+ to succeed, current users of forest resources must adopt new practices, including the equitable sharing of benefits that accrue from REDD+ implementation. These challenges are being addressed by combined donor support to implement a national forest inventory, remote sensing of forest cover, enhanced capacity for measuring, reporting and verification, and pilot projects to test REDD+ implementation linked to the existing Participatory Forest Management Programme. Our conclusion is that even in a country with considerable donor support, progressive forest policies, laws and regulations, an extensive network of managed forests and increasingly developed locally-based forest management approaches, implementing REDD+ presents many challenges. These are being met by coordinated, genuine partnerships between government, non-government and community-based agencies.

Sign in / Sign up

Export Citation Format

Share Document