No abstract

Some coupled land-climate models predict a dieback of Amazon forest during the twenty-first century due to climate change, but human land use in the region has already reduced the forest cover. The causation behind land use is complex, and includes economic, institutional, political and demographic factors. Pre-eminent among these factors is road building, which facilitates human access to natural resources that beget forest fragmentation. While official government road projects have received considerable attention, unofficial road building by interest groups is expanding more rapidly, especially where official roads are being paved, yielding highly fragmented forest mosaics. Effective governance of natural resources in the Amazon requires a combination of state oversight and community participation in a 'hybrid' model of governance. The MAP Initiative in the southwestern Amazon provides an example of an innovative hybrid approach to environmental governance. It embodies a polycentric structure that includes government agencies, NGOs, universities and communities in a planning process that links scientific data to public deliberations in order to mitigate the effects of new infrastructure and climate change.

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.

SUMMARYLiterature on environmental science and management endorses crossing boundaries between disciplines, types of organizations and countries for environmental conservation. A literature review on interdisciplinarity, interorganizational networks and international cooperation highlights their justifying rationales and strategic practices. Crossing boundaries implies substantial challenges to managing collaboration itself, notably politics and uncertainty. Challenges to collaboration become compounded when crossing multiple boundaries simultaneously, here illustrated using the case of three projects in the south-western Amazon. Strategic practices such as net brokering and organizational courtships are highly important when crossing multiple boundaries. There are important commonalities in strategic practices for crossing different boundaries, such as recognizing grievances to manage politics, constituting functional redundancies in networks to manage uncertainty and non-aligned collaboration to manage both difficulties.

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.