Transparent, consistent, and accurate national forest monitoring is required for successful implementation of reducing emissions from deforestation and forest degradation (REDD+) programs. Collecting baseline information on forest extent and rates of forest loss is a first step for national forest monitoring in support of REDD+. Peru, with the second largest extent of Amazon basin rainforest, has made significant progress in advancing its forest monitoring capabilities. We present a national-scale humid tropical forest cover loss map derived by the Ministry of Environment REDD+ team in Peru. The map quantifies forest loss from 2000 to 2011 within the Peruvian portion of the Amazon basin using a rapid, semi-automated approach. The available archive of Landsat imagery (11 654 scenes) was processed and employed for change detection to obtain annual gross forest cover loss maps. A stratified sampling design and a combination of Landsat (30 m) and RapidEye (5 m) imagery as reference data were used to estimate the primary forest cover area, total gross forest cover loss area, proportion of primary forest clearing, and to validate the Landsat-based map. Sample-based estimates showed that 92.63% (SE = 2.16%) of the humid tropical forest biome area within the country was covered by primary forest in the year 2000. Total gross forest cover loss from 2000 to 2011 equaled 2.44% (SE = 0.16%) of the humid tropical forest biome area. Forest loss comprised 1.32% (SE = 0.37%) of primary forest area and 9.08% (SE = 4.04%) of secondary forest area. Validation confirmed a high accuracy of the Landsat-based forest cover loss map, with a producer's accuracy of 75.4% and user's accuracy of 92.2%. The majority of forest loss was due to clearing (92%) with the rest attributed to natural processes (flooding, fires, and windstorms). The implemented Landsat data processing and classification system may be used for operational annual forest cover loss updates at the national level for REDD+ applications.
Annual revenue flow to developing countries for ecotourism could be as large as US$ 29 billion, providing an enormous financial incentive against habitat loss and exploitation. However, surprisingly little quantitative evidence exists on the profitability of the rainforest ecotourism sector, which determines the incentive and capacity of the sector to engage in conservation. A Peruvian rainforest ecotourism cluster generated US$ 11.6 million in 2005. The after-tax profit margin was at least 14% and has increased with tourist volume. High profitability, coupled with new legislation, has allowed operators to put 54 358 ha of rainforest near the new Interoceánica Sur highway under private management and to engage in conservation actions. A previously published microeconomic contract model of protected-areas management identifies two key features of rainforest tourism that link ecotourism to conservation: (1) tourists demand an immersive experience, which incentivizes the acquisition of large amounts of forest cover, and (2) institutional reforms have increased the expected effectiveness of conservation actions. In Peru, these conditions appear to be met, so that profits from ecotourism can combine with new land tenure rights to create a governance structure within which the industry can act as an independently financed partner to the conservation community
Annual revenue flow to developing countries for ecotourism (or nature-based tourism) could be as large as US$ 210×1012, providing an enormous financial incentive against habitat loss and exploitation. However, is ecotourism the most privately and/or socially valuable use of rainforest land? The question is rarely answered because the relevant data, estimates of profits and fixed costs, are rarely available. We present a social cost-benefit analysis of land use in an ecotourism cluster in the Tambopata region of Amazonian Peru. The net present value of ecotourism-controlled land is given by the producer surplus (profits plus fixed costs of ecotourism lodges): US$ 1,158 ha−1, which is higher than all currently practiced alternatives, including unsustainable logging, ranching, and agriculture. To our knowledge, this is the first sector-wide study of profitability and producer surplus in a developing-country ecotourism sector and the first to compare against equivalent measures for a spectrum of alternative uses. We also find that ecotourism-controlled land sequesters between 5.3 to 8.7 million tons of above-ground carbon, which is equivalent to between 3000–5000 years of carbon emissions from the domestic component of air and surface travel between the gateway city of Cusco and the lodges, at 2005 emission rates. Ecotourism in Tambopata has successfully monetized the hedonic value of wild nature in Amazonian Peru, and justifies the maintenance of intact rainforest over all alternative uses on narrow economic grounds alone.
SUMMARYBrazil nut collection is key to reconciling sustainable economic development with forest conservation in the Amazon. Whether the activity is profitable, however, remains uncertain due to the paucity of information on spatial distribution and productivity of trees as well as the costs of collection and processing. To fill this gap, this study developed and used a spatially-explicit rent model of Brazil nut production to assess yields and potential profits (rents) from the Brazil nut concessions in Madre de Dios (Peru), under three scenarios of processing and management (unshelled, shelled and shelled-certified nuts). Potential annual production in the region was estimated to be 14.1 ± 2.4 thousand tonnes of unshelled nuts; at 2008 regional sale prices this corresponded to profits of between US$ 3.1 ± 0.5 ha−1 yr−1 for unshelled nuts to US$ 8.4 ± 1.4 ha−1 yr−1 for shelled-certified nuts. Investment of c. US$ 14−17 ha−1 is required to develop certified production in Madre de Dios concessions; this would approximately triple rents in these areas. Such investment could be channelled through REDD+ projects; sustainable management of Brazil nut concessions may contribute to a 42–43% reduction in deforestation in Madre de Dios by 2050.
Payments for ecosystem services are becoming popular components in strategies to conserve ecosystems and biodiversity, but their effectiveness remains poorly documented. Here we present counterfactual-based evidence on the conservation outcomes of the pilot stage of Peru's National Forest Conservation Program (NFCP). The NFCP provides direct payments to indigenous communities in the Amazon, conditional on avoided deforestation and the adoption of sustainable production systems. Using a spatially explicit quasi-experimental evaluation design, we show that the payment scheme has achieved only small conservation impacts, in terms of avoided deforestation. Counter-intuitively, these materialized largely on land not enrolled for conservation, due to spillover effects. Conservation effects on contracted land were negligible because communities were not chosen according to high deforestation threats, and they self-enrolled low-pressure forest areas for conservation. Occasional non-sanctioned contract incompliance contributed to these outcomes. We highlight implications for the design and implementation of up-scaled national conservation programs. Methodologically, we demonstrate the important role of choosing the appropriate spatial scale in evaluating area-based conservation measures.
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