The Republic of the Union of Myanmar is a forest resource-rich country, but is also facing serious deforestation and forest degradation problems. Currently, Myanmar’s forest still covers more than 40% of the country’s land area (Aung (2001) but 70% of its population live in rural areas, and the agricultural sector is the main contributor to the country’s gross domestic product (GDP) (30%) (World Bank 2014). The country faces the all-too-common dilemma of how to develop its economy while at the same time curbing environmental degradation and contributing to carbon emissions reduction. In 2013, Myanmar adopted a REDD+ program and started its preparatory phase. Myanmar established and developed its National Forest Monitoring System (NFMS) and Reference Emission Levels (RELs) for REDD+ following the guidance and modalities set out by the United Nations Framework Convention on Climate Change (UNFCCC). Implementing REDD+ requires political commitment to address direct and indirect drivers of deforestation, an adequate funding mechanism that is based on a thorough analysis of all costs and benefits, a transparent and equitable benefit-sharing mechanism, and a participatory decision-making approach in which all stakeholders can take part in REDD+. The Global Comparative Study on REDD+, together with its country partners, is compiling profiles of 14 countries to better understand the socioeconomic contexts in which REDD+ policies and processes emerge.
Tag: degradation
Space-time detection of deforestation, forest degradation and regeneration in montane forests of Eastern Tanzania
Naturally isolated montane forests in East Africa are hotspots of biodiversity, often characterised by high species endemism, and are fundamental contributors to water services. However, they are located in areas highly suitable for agriculture, making them a prime target for agricultural activities. The Eastern Arc Mountains (EAM) in Eastern Tanzania are within the target regions for agricultural development under the Southern Agricultural Growth Corridor of Tanzania (SAGCOT). However, forest monitoring initiatives that track long-term forest dynamics and the ecological impact of current agricultural development policies on forests, are lacking. Here, we use the STEF (Space-Time Extremes and Features) algorithm and Landsat time series to track forest disturbances (deforestation and degradation) and forest gains (regeneration) as spatio-temporal events over seventeen years (2001-2017) in the montane forests of the Mvomero District in Tanzania. We found that 27 % (~ 20.487 ha) of montane forests were disturbed between 2001 and 2017, mainly led by deforestation (70 %). Small-scale crop farms with maize, banana, and cassava crops, were the most planted on deforested areas. Most disturbances occurred at lower elevation (lowland montane), but there was an increasing shift to higher elevations in recent years (2011-2017). Forest disturbances exclusively occurred at small spatial scales, a pattern similar to other forest montane landscapes in Africa, which lowers detection capabilities in global forest loss products. Our locally calibrated and validated deforestation map (Producer’s accuracy = 80 %; User’s accuracy = 78 %) shows a gross underestimation of forest cover loss (>10 000 ha) by global forest loss products in these mountainous forest landscapes. Overall, we found few areas undergoing forest regeneration, with only 9 % of the disturbed forest regenerating over 17 years. Long-term conversion to cropland prevented regeneration in the lowlands, with regeneration mainly happening at higher elevations. However, the shift of deforestation and forest degradation to higher elevations may challenge high elevation regeneration trends, leaving the remaining blocks of montane forest in the Mvomero District at a risk of degradation and disappearance. Without effective forest conservation measures, market-driven agricultural development is likely to trigger an expansion of cropland at the expense of forests to meet the increased demand for the agricultural products promoted, with negative impact on biodiversity, carbon sequestration and water services.
REDD+ in theory and practice: How lessons from local projects can inform jurisdictional approaches
Local projects for reducing emissions from deforestation and forest degradation (REDD+) were frequently designed as pilot actions to inform future upscaled initiatives. Drawing lessons from these project experiences may thus help improve the design of jurisdictional programs, which is the focus of REDD+ implementation in the Paris Agreement. Here we first scrutinize how REDD+ was historically conceptualized, the most prominent model being that of a multitier payments for environmental services (PES) scheme of “passing on” carbon mitigation responsibilities and credits across scales, from international buyers to forestland owners. Then we analyze two REDD+ project databases, ID-RECCO and GCS-REDD, using principal component and regression analysis. Among 226 conservation-oriented REDD+ projects, only 88 had planned conditional incentives to landowners–the key feature of PES. Intentions to apply PES rose after 2007, and correlate strongly with efforts to seek certification, including as a benefit-sharing strategy, and with carbon sales. Zooming closer into a portfolio of 23 local REDD+ projects that were actually implemented on the ground, we found project implementers reported conditional incentives as potentially being both the most promising and effective intervention. Likewise, treated households identified conditional incentives as comparatively effective in changing their land-use plans, while also providing above-average welfare returns. Still, these conditional incentives remained underutilized in implementation, with only one-third of the treatment intensity compared to non-conditional incentives. Project implementers cited insecure land tenure and uncertain REDD+ financial flows as key impediments to using conditional incentives. The original vision of a multitier PES model for REDD+ thus ran into both supply and demand side problems, jointly explaining the discrepancy between REDD+ theory and practice. Since jurisdictional approaches to REDD+ so far also receive only hesitant and slow climate financing flows, coming mostly in non-conditional form, and operate under forest-frontier governance with similar tenure restrictions, jurisdictions would seem well-advised to plan for conditional landowner incentives only in scenarios where the preconditions for PES are met. Implementers of jurisidictional approaches may also want to avoid conceptualizing their new model too narrowly and prescriptively, as was arguably the case with the conceptualization of REDD+ as a multitier PES scheme.
Predicting animal abundance through local ecological knowledge: An internal validation using consensus analysis
Given the ongoing environmental degradation from local to global scales, it is fundamental to develop more efficient means of gathering data on species and ecosystems. Local ecological knowledge, in which local communities can consistently provide information on the status of animal species over time, has been shown to be effective. Several studies demonstrate that data gathered using local ecological knowledge (LEK)-based methods are comparable with data obtained from conventional methods (such as line transects and camera traps). Here, we employ a consensus analysis to validate and evaluate the accuracy of interview data on LEK. Additionally, we investigate the influence of social and bioecological variables on enhancing data quality. We interviewed 323 persons in 19 villages in the Western and Central Amazon to determine the level of consensus on the abundance of hunted and non-hunted forest species. These villages varied in size, socio-economic characteristics and in the experience with wildlife of their dwellers. Interviewees estimated the relative abundance of 101 species with a broad spectrum of bioecological characteristics using a four-point Likert scale. High consensus was found for species population abundance in all sampled villages and for 79.6% of interviewees. The village consensus of all species abundance pooled was negatively correlated with village population size. The consensus level was high regardless of the interviewees’ hunting experience. Species that are more frequently hunted or are more apparent had greater consensus values; only two species presented a low consensus level, which are rare and solitary species. We show in our study in the Amazon that information gathered by local peoples, Indigenous as well as non-Indigenous, can be useful in understanding the status of animal species found within their environment. The high level of cultural consensus we describe likely arises from knowledge sharing and the strong connection between the persons interviewed and the forest. We suggest that consensus analysis can be used to validate LEK-generated data instead of comparing these types of data with information obtained by conventional methods.
Characterization of soil health and nutrient content status across the North-East Maasai Landscape, Arusha Tanzania
Soil fertility management has been a great challenge to smallholder farmers in the Northern Tanzania, especially in the Maasai landscape. Therefore understanding the nutrient status become important to forecast productivity, promote sustainability, and propose an appropriate technique for crop productivity sustainability. The study examines soil fertility status of the Maasai landscape. Systematic approach known as the Land Degradation Surveillance Framework (LDSF) were used to identify soil sampling points. A total of 604 soil samples from two soil depth (0 – 30 and 30 – 50 cm) were collected for physiochemical properties analysis using Mid-infrared (MIR) spectroscopy. The chosen level for determining statistical significance, was set at P = 0.05. Results showed a significant differences (P < 0.01) for particle size distribution, SOC, EC, CEC, TN, pH, N, P, K, Ca, S, Mg, Mn and Zn across the landscape zones. It was observed that soil parameters such as pH (6.62 – 7.44), CEC (27.59 – 32.82 meq/100 g), and EC (90.12 - 121.93 µS/cm) were in the adequate and acceptable range while SOC (0.89 – 1.89 %) was observed to be in low amount. Other nutrients such as N (0.09 – 0.14 %), P (9.46 – 14.87 mg/kg), and K (175.91 - 293.5 mg/kg) were in inadequate amounts except for the S (12.9 – 15.43 mg/kg) which was in optimum, Ca (3117.5 - 4155.31 mg/kg) ranged between low to optimum, and Mg (556.95 - 603.26 mg/kg) was in excessive amounts. However, Mn (114.13 mg/kg – 128.95 mg/kg) was in excess. This study found that, there is a significance difference on soil fertility status across the landscape. Major soil nutrient fertility constraints found were N, P, Ca, and K for some soils. The study recommends that interventions to address the issue of soil fertility in the northeast Maasai landscape should consider the altitude issue due to variations in soil health and nutrient content.
The pluriversality of efforts to reduce deforestation in Brazil over the past decade: An analysis of policy actors’ perceptions
Brazil offers a complex and unique example of tropical landscapes. The country has considerably decreased deforestation since 2004, but Reducing Emissions from Deforestation and Forest Degradation (REDD+) is arguably under question, both as a concept and as a tool to reduce greenhouse gas (GHG) emissions, as deforestation levels have increased over the last five years. This article investigates how different policy actors have perceived REDD+ over time, how they have engaged in REDD+ efforts over the past decade, and how REDD+ implementation in Brazil should move forward accordingly. We analyzed qualitative data from semi-structured interviews and actors’ “stances”, i.e., their positions—with regards to key issues connected to REDD+ governance and its challenges—over three different time periods (Phase 1: 2010–2011, Phase 2: 2015–2016, and Phase 3: 2019), so as to identify the practical implications of these diverse interpretations. We argue that the way actors perceive REDD+ is intimately related to the way they interpret and assign meanings towards it and, in consequence, the way they coordinate REDD+-related practices and efforts. We focus on the link between perceptions and efforts so as to comprehend the relevance that different interpretations have to both the concept and implementation of REDD+ in Brazil. Our analysis concentrates on the potential to improve the coordination and integration of REDD+ implementation and diverse actors’ efforts with regards to REDD+ activities. Results suggest that actors’ perceptions of REDD+ generated a plurality of meanings, highlighting a range of dialectical and ontological interactions that have, in turn, resulted in multiple REDD+ interpretations. Findings highlight that different actors have the same interests when it comes to their organizational efforts to reduce emissions from deforestation and forest degradation, suggesting that there is room for a better coordination of efforts towards this end, as well as increased collaboration.
Forest degradation and inter-annual tree level Brazil Nut production in the Peruvian Amazon
Brazil nuts are an economically important non-timber forest product throughout the Amazon Basin, but the forests in which they grow are under threat of severe degradation by logging, road building, agricultural expansion, and forest fires. As a result, many Brazil nut trees grow within a mosaic of young secondary forest, primary forest remnants and agricultural fields. Little is known about the reproductive ecology and fruit production of Brazil nut in such degraded landscapes. Previous studies on Brazil nut productivity did not explicitly address forest degradation as a factor. In this study, we analyzed the extent to which Brazil nut fruit production is affected by the level of forest degradation. We collected 3 years of fruit production data of 126 Brazil nut trees occurring in degraded forest (the above-mentioned mosaics) and closed canopy (i.e., undegraded) forest in and around the Tambopata National Reserve in Madre de Dios, Peru. We analyzed the effect of forest degradation at two different levels: at the site type (i.e., degraded vs. undegraded forest) and the individual tree level (quantified as stand basal area and stem density around the individual Brazil nut trees). Stand basal area around the individual Brazil nut trees significantly positively influenced tree fruit production in all 3 years and stem density in year 2 and 3, with strongest effects in the 3rd year, and weakest effect in the 1st year, coinciding with an El Niño year. Trees in undegraded forest produced more fruits in the 2nd and 3rd year than trees in degraded forest (29.4% and 35.8% more, respectively), but not in the 1st year in which trees in undegraded forest produced 31.7% less fruits than trees in degraded forest. These within year effects were not significant, although the effects significantly differed between years. Our results show that forest degradation can affect Brazil nut fruit production, and suggest that the strength (and possibly the sign) of this effect might be different in (extreme) El Niño years. This illustrates the potential importance of restoring degraded forest to enhance resilience and protect the livelihoods of people depending on the Brazil nut trade.
The forest sector contributes to high emissions worldwide through the loss of historically built-up carbon stocks, mainly from deforestation and forest degradation. The REDD+ approach aims at compensating developing countries for efforts to reduce emissions from deforestation and forest degradation, to maintain and increase forest carbon stocks or to manage forests sustainably. This report examines how, and under which circumstances, different forms of results-based financing are suitable for reducing emissions and enhancing removals in the forest sector in the context of different countries and mitigation measures.
The forest sector contributes to high emissions worldwide through the loss of historically built-up carbon stocks, mainly from deforestation and forest degradation. The REDD+ approach aims at compensating developing countries for efforts to reduce emissions from deforestation and forest degradation, to maintain and increase forest carbon stocks or to manage forests sustainably. This report examines how, and under which circumstances, different forms of results-based financing are suitable for reducing emissions and enhancing removals in the forest sector in the context of different countries and mitigation measures.
The forest sector contributes to high emissions worldwide through the loss of historically built-up carbon stocks, mainly from deforestation and forest degradation. The REDD+ approach aims at compensating developing countries for efforts to reduce emissions from deforestation and forest degradation, to maintain and increase forest carbon stocks or to manage forests sustainably. This report examines how, and under which circumstances, different forms of results-based financing are suitable for reducing emissions and enhancing removals in the forest sector in the context of different countries and mitigation measures.