Targeted carbon conservation at national scales with high-resolution monitoring

Asner, Gregory P.; Knapp, David; Martin, Robert E.; Tupayachi, Raul; Anderson, Christopher B.; Mascaro, Joseph; Sinca, Felipe; Chadwick, Kristi; Higgins, Mark; Farfan, William; Llactayo, William; Silman, Miles R.

doi:10.1073/pnas.1419550111

Cited by 107 publications

(145 citation statements)

References 46 publications

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“…However, there is an increasing tendency to use airborne LiDAR as calibration data [105,106,[109][110][111]. This type of approach relates AGB field observations to airborne LiDAR data, and then calibrates the parameter retrieval from spaceborne sensors using those LiDAR datasets.…”

Section: Small-medium Mapping Scalementioning

confidence: 99%

Quantifying Forest Biomass Carbon Stocks From Space

et al. 2017

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Purpose of Review This review presents cutting-edge methods and current and forthcoming satellite remote sensing technologies to map aboveground biomass (AGB). Recent Findings The monitoring of carbon stored in living AGB of forest is of key importance to understand the global carbon cycle and for the functioning of international economic mechanisms aiming to protect and enhance forest carbon stocks. The main challenge of monitoring AGB lies in the difficulty of obtaining field measurements and allometric models in several parts of the world due to geographical remoteness, lack of capacity, data paucity or armed conflicts. Space-borne remote sensing in combination with ground measurements is the most cost-efficient technology to undertake the monitoring of AGB. Summary These approaches face several challenges: lack of ground data for calibration/validation purposes, signal saturation in high AGB, coverage of the sensor, cloud cover persistence or complex signal retrieval due to topography. New space-borne sensors to be launched in the coming years will allow accurate measurements of AGB in high biomass forests (>200 t ha −1 ) for the first time across large areas.

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Section: Small-medium Mapping Scalementioning

confidence: 99%

Quantifying Forest Biomass Carbon Stocks From Space

et al. 2017

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“…Opportunities exist to bolster conservation of Brazil nut-rich forests through incentives associated with Reducing Emissions from Deforestation and Forest Degradation (REDD?). In Peru, Brazil nut concessions store, as a land use type, the largest aboveground carbon densities across the country (110 Mg C ha -1 ; Asner et al 2014). And basinwide, Brazil nut trees rank third among the dominant top 20 tree species in terms of aboveground biomass (Fauset et al 2015) while being an ''hyperdominant'' element of the tree flora (ter Steege et al 2013).…”

Section: Curbing Deforestationmentioning

confidence: 99%

Revisiting the ‘cornerstone of Amazonian conservation’: a socioecological assessment of Brazil nut exploitation

et al. 2017

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The Brazil nut (the seeds of the rainforest tree Bertholletia excelsa) is the only globally traded seed collected from the wild by forest-based harvesters across the Amazon basin. The large geographic scale of Brazil nut exploitation and the significant contributions to local livelihoods, national economies, and forest-based development over the last decades, merit a review of the ''conservation-through-use'' paradigm. We use Elinor Ostrom's framework for assessing sustainability in socioecological systems: (1) resource unit, (2) users, (3) governance system, and (4) resource system, to determine how different contexts and external developments generate specific conservation and development outcomes. We find that the resource unit reacts robustly to the type and level of extraction currently practiced; that resource users have built on a self-organized system that had defined boundaries and access to the resource; that linked production chains, market networks and informal financing work to supply global markets; and that local harvesters have used supporting alliances with NGOs and conservationists to formalize and secure their endogenous governance system and make it more equitable. As a result, the Brazil nut model represents a socioecological system that may not require major changes to sustain productivity. Yet since long-term Brazil nut production seems inextricably tied to a continuous forest cover, and because planted Brazil nut trees currently provide a minimal contribution to total nut production basin-wide, we call to preserve, diversify and intensify production in Brazil nut-rich forests that will inevitably become ever more integrated within human-modified landscapes over time.

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“…However, since these metrics are highly correlated, only a few are usually selected in the final models. Common metrics for biomass estimation in tropical forests have been found to be the mean above ground elevation of the ALS points [11,38,39] and maximum above ground elevation of the ALS points [3,40]. Other metrics used include percentiles and variance of the above ground elevation of the ALS points [7,11].…”

Section: Introductionmentioning

confidence: 99%

Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest

Hansen¹,

Gobakken²,

Næsset³

2015

Remote Sensing

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Airborne laser scanning (ALS) is increasingly being used to enhance the accuracy of biomass estimates in tropical forests. Although the technological development of ALS instruments has resulted in ever-greater pulse densities, studies in boreal and sub-boreal forests have shown consistent results even at relatively small pulse densities. The objective of the present study was to assess the effects of reduced pulse density on (1) the digital terrain model (DTM), and (2) canopy metrics derived from ALS data collected in a tropical rainforest in Tanzania. We used a total of 612 coordinates measured with a differential dual frequency Global Navigation Satellite System receiver to analyze the effects on DTMs at pulse densities of 8, 4, 2, 1, 0.5, and 0.025 pulses·m . Furthermore, canopy metrics derived for each pulse density and from four different field plot sizes (0.07, 0.14, 0.21, and 0.28 ha) were analyzed. Random variation in DTMs and canopy metrics increased with reduced pulse density. Similarly, increased plot size reduced variation in canopy metrics. A reliability ratio, quantifying replication effects in the canopy metrics, indicated that most of the common metrics assessed were reliable at pulse densities >0.5 pulses·m −2 at a plot size of 0.07 ha.

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Targeted carbon conservation at national scales with high-resolution monitoring

Cited by 107 publications

References 46 publications

Quantifying Forest Biomass Carbon Stocks From Space

Quantifying Forest Biomass Carbon Stocks From Space

Revisiting the ‘cornerstone of Amazonian conservation’: a socioecological assessment of Brazil nut exploitation

Effects of Pulse Density on Digital Terrain Models and Canopy Metrics Using Airborne Laser Scanning in a Tropical Rainforest

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