Conditional incentives are a promising complementary approach to conserve tropical forests, for example, in multiple-use protected areas. In this paper we analyze the environmental impacts of Bolsa Floresta, a forest conservation program that combines direct conditional payments with livelihood-focused investments in 15 multiple-use reserves in the Brazilian state of Amazonas. We use grid-based data, nearest-neighbor matching, and panel data econometrics to compare three forest-related program outcomes – deforestation, degradation, and fires – of participating and non-participating reserve areas. Forest threats were low before and after treatment, because the program prioritized low-pressure sites. Thus, we find significant but small additional conservation effects from the implementation of the program. Notwithstanding, treatment effects are relatively larger in areas with higher deforestation pressure and higher potential agricultural income. Our findings add to the growing body of evidence showing that adverse spatial targeting of conservation incentives, i.e. disproportionally enrolling low–pressure sites, is a prime cause for the low additionality found in rigorous impact evaluations of many existing initiatives.
Tag: deforestation
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series
Assessing land-use following deforestation is vital for reducing emissions from deforestation and forest degradation. In this paper, for the first time, we assess the potential of spatial, temporal and spatio-temporal deep learning methods for large-scale classification of land-use following tropical deforestation using dense satellite time series over six years on the pan-tropical scale (incl. Latin America, Africa, and Asia). Based on an extensive reference database of six forest to land-use conversion types, we find that the spatio-temporal models achieved a substantially higher F1-score accuracies than models that account only for spatial or temporal patterns. Although all models performed better when the scope of the problem was limited to a single continent, the spatial models were more competitive than the temporal ones in this setting. These results suggest that the spatial patterns of land-use within a continent share more commonalities than the temporal patterns and the spatial patterns across continents. This work explores the feasibility of extending and complementing previous efforts for characterizing follow-up land-use after deforestation at a small-scale via human visual interpretation of high resolution RGB imagery. It supports the usage of fast and automated large-scale land-use classification and showcases the value of deep learning methods combined with spatio-temporal satellite data to effectively address the complex tasks of identifying land-use following deforestation in a scalable and cost effective manner.
REDD+ readiness in Nepal: In search of effective stakeholder participation
- In Nepal, key substantive issues, such as measurement, reporting and verification, reference emission levels, governance and financing, on reducing emissions from deforestation and forest degradation (REDD+) are under-addressed. Dispute regarding REDD+ procedural issues, such as participation and communication have dominated. Adjusting this balance may be productive for making headway with substantive issues.
- The REDD+ process in Nepal is failing to fully engage all relevant stakeholders. This lack of genuine engagement invites the risks of non-cooperation of many forest dependent communities and stakeholders.
- Language, technical and attitudinal barriers are limiting participation of a wide range of stakeholders. Work to reduce these barriers, develop capacity of weak stakeholders and forge productive dialogue between experts and civic actors may help improve their participation.
Forest and land fires, toxic haze and local politics in Indonesia
Forest and land fires are among the major catastrophic events that occur in Indonesia. They are a major cause of deforestation and greenhouse gas emissions. Their multiple sources are most diverse and root in nature and society. The immediate fire effects directly and the long-term landscape ecosystem degradations indirectly cause major and persisting and serious problems of public health and ecosystem service. Smoke haze from the forest and land fires in Sumatra and Kalimantan in 2015 caused significant environmental and economic losses in Indonesia, Singapore and Malaysia. We describe the different types of land uses and land cover where fires and smoke haze took place, and how local politics have affected fire use from 2001 to 2017. We calculated hot spots from satellite imageries as proxies for fire occurrences and applied regression analysis to understand the link between fire and local politics in Sumatra and Kalimantan. The results show that the greatest frequency of hot spots occurred in wood and oil palm plantations and logging concessions (47%), followed by conservation areas (31%) and community land (22%). Local elections involve land transactions, and fires were used as a cheap way to increase the land value. The use of fire as means of land clearing was strongly influenced by local politics. Their frequency and abundance obviously increased about a year prior to local elections. The reasons behind the correlation need to be understood so that appropriate incentives and sanctions can be put in place and deter political leaders from using fire as an incentive to their advantage.
Pathways for implementing territorial approaches to zero deforestation commodities in Ghana
Financed by the European Union and led by the Center for International Forestry Research (CIFOR), GML is a four-year project implemented across Sub-Saharan Africa that aims to address key knowledge, technical and policy gaps related to the global impacts of the FLEGT Action Plan, as well as forest and land governance, trade in informal and legal timber products, deforestation-related commodity-based agribusiness, woodfuel and ultimately sustainable forest and land-use management and improvement of livelihoods.
Community forest management and forest cover change in Lampung, Indonesia
Community-based forestry (CBF) is often cited as a way for improving livelihood of local communities while conserving biodiversity and mitigating climate change. However, empirical assessments of CBF outcomes are still lacking, especially for their biophysical conditions. This study investigates the extent to which a type of CBF practices in Indonesia, Community Forest (HKM), managed to maintain forest cover. We applied a propensity scoring approach to empirically measure the rates of deforestation between 2007 and 2016 for Conservation Forests and Protection Forests with and without HKM concessions. Our finding is that HKMs are less effective than Conservation Forests (e.g. National Parks) in reducing forest cover loss, but more effective than other similar forests without CBF management. This is a promising starting point for expanding CBF in Indonesia. We recommend: 1) explicit consideration of biophysical characteristics of CBF locations in designating future sites; 2) providing site-specific financial and technical supports for local communities; 3) utilizing remotely sensed data and propensity scoring for monitoring conservation outcomes.
Transformation of coffee-growing landscapes across Latin America. A review
In Latin America, the cultivation of Arabica coffee (Coffea arabica) plays a critical role in rural livelihoods, biodiversity conservation, and sustainable development. Over the last 20 years, coffee farms and landscapes across the region have undergone rapid and profound biophysical changes in response to low coffee prices, changing climatic conditions, severe plant pathogen outbreaks, and other drivers. Although these biophysical transformations are pervasive and affect millions of rural livelihoods, there is limited information on the types, location, and extent of landscape changes and their socioeconomic and ecological consequences. Here we review the state of knowledge on the ongoing biophysical changes in coffee-growing regions, explore the potential socioeconomic and ecological impacts of these changes, and highlight key research gaps. We identify seven major land-use trends which are affecting the sustainability of coffee-growing regions across Latin America in different ways. These trends include (1) the widespread shift to disease-resistant cultivars, (2) the conventional intensification of coffee management with greater planting densities, greater use of agrochemicals and less shade, (3) the conversion of coffee to other agricultural land uses, (4) the introduction of Robusta coffee (Coffea canephora) into areas not previously cultivated with coffee, (5) the expansion of coffee into forested areas, (6) the urbanization of coffee landscapes, and (7) the increase in the area of coffee produced under voluntary sustainability standards. Our review highlights the incomplete and scattered information on the drivers, patterns, and outcomes of biophysical changes in coffee landscapes, and lays out a detailed research agenda to address these research gaps and elucidate the effects of different landscape trajectories on rural livelihoods, biodiversity conservation, and other aspects of sustainable development. A better understanding of the drivers, patterns, and consequences of changes in coffee landscapes is vital for informing the design of policies, programs, and incentives for sustainable coffee production.
Forests, Farms, and Fallows: The Dynamics of Tree Cover Transition in the Southern Part of the Uluguru Mountains, Tanzania
Forests and woodlands remain under threat in tropical Africa due to excessive exploitation and inadequate management interventions, and the isolated success stories of tree retention and tree cover transition on African agricultural land are less well documented. In this study, we characterize the status of tree cover in a landscape that contains forest patches, fallows, and farms in the southern part of Uluguru Mountains. We aimed to unveil the practices of traditional tree fallow system which is socially acceptable in local settings and how it provides a buffering effects to minimize forest disturbances and thus represents an important step towards tree cover transition. We assessed land cover dynamics for the period of 1995 to 2020 and compared tree stocking for forest patches, fallows, and farms. We found that tree biomass carbon stocks were 56 ± 5 t/ha in forest patches, 33 ± 7 t/ha in fallows, and 9 ± 2 t/ha on farms. In terms of land cover, farms shrank at intensifying rates over time for the entire assessment period of 1995–2020. Forest cover decreased from 1995–2014, with the reduction rate slowing from 2007–2014 and the trend reversing from 2014–2020, such that forest cover showed a net increase across the entire study period. Fallow consistently and progressively increased from 1995–2020. We conclude that traditional tree fallows in the study site remain a significant element of land management practice among communities, and there appears to be a trend towards intensified tree-based farming. The gains in fallowed land represent an embracing of a traditional land management system that supports rotational and alternate uses of cropping space as well as providing a buffering effect to limit over-exploitation of forests. In order to maximize tree cover and carbon stocks in the farm landscape, this well-known traditional tree fallow system can be further optimized through the incorporation of additional innovations.
Elucidating Pathways and Discourses Linking Cocoa Cultivation to Deforestation, Reforestation, and Tree Cover Change in Nicaragua and Peru
Cocoa cultivation is labeled as a driver of both deforestation and reforestation, yet the extent of the phenomena varies at farm and landscape level and as a response to national and local contexts. In this study, we documented the main pathways and contexts behind cocoa cultivation in two sites with different histories of cocoa cultivation. We combined official statistics, land-use trajectory, satellite imagery, and the Q-analysis to explore the discourses of country experts in Nicaragua and Peru. The Q-statements were based on an analysis of a set of legal, institutional, social, and technical guidelines that the cocoa cultivation/sector influences or is influenced by. Based on the responses of national experts to 31 statements we found four discourses linking cocoa cultivation and reforestation and deforestation in each country-case study. The enabling and limiting conditions driving tree cover change were a combination of landscape configuration, governance, management/commercialization models, and farmer’s knowledge. Overall, between 60 and 64% of the variance was explained by four discourse factors in each country. In Nicaragua, the conditions associated with reforestation were the cocoa-agroforestry model promoted by local organizations/NGOs, the existence of incentives, degree of technical knowledge, access to safe market, and availability of improved genetic material. The circumstances associated with deforestation were the age of the farmers, fluctuation of cocoa beans prices, low productivity of cocoa plantations, and weak legal environmental frameworks. Whereas, in Peru, the main factors connecting cocoa cultivation to reforestation were access to market, degree of experimentation in cocoa, the economic weight of cocoa on family’s income, certification processes, the existence of incentives, and the level of organization/association of cocoa farmers. The elements linking cocoa farming to deforestation were the influence of stakeholders in the cocoa value chain, weak legal environmental frameworks, fluctuation of cocoa prices, the existence of private investors, and insecure land tenure rights. This article demonstrated the utility of discourse analysis, through its application to two contrasting country case-studies, to elucidate the conditions that might minimize the deforestation footprint of cocoa cultivation and maximize its role as an agent for reforestation/restoration in the agricultural landscape of cocoa-growing areas in Latin America.
Corporate commitments to zero deforestation: An evaluation of externality problems and implementation gaps
This research critically examines implementation gaps and externality problems associated with the recent proliferation of zero deforestation commitments (ZDC) by large commodity producers. By developing and employing a hierarchical framework, we evaluate the policies and strategies of 50 leading ZDC adopters in high forest-risk commodity sectors (soy, oil palm, cattle and wood). The analysis shows that while most ZDC adopters formulated strong ZDCs, there is significant room for further refining implementation mechanisms. Specifically, it finds that weak commitment to full transparency, notably disclosure of sourcing locations and suppliers, and to independent verification, undermines ZDCs’ transformative potential and ability to hold companies accountable for failure to comply with their ZDCs. Our analysis also reveals that most sampled companies do not explicitly account for the socially detrimental externalities that their ZDCs threaten to produce. Where this is acknowledged, it is acknowledged implicitly through standing commitments to full voluntary certification, especially in the wood and oil palm sector. As a result, issues related to free, prior and informed consent (FPIC) and protection of high conservation value (HVC) ecosystems are comparatively well addressed by adopters, but challenges faced by smallholders, food security risks, and indirect land use change issues are only minimally accounted for. Our results suggest that for ZDCs to contribute meaningfully to inclusive and sustainable development potential, complementarities between private and public regulatory initiatives need to be better leveraged.