@Article{BerenguerGFACCDOVB:2015:DeCoFi,
author = "Berenguer, Erika and Gardner, Toby A. and Ferreira, Joice and
Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and Camargo, Plinio
B. and Cerri, Carlos E. and Durigan, Mariana and Oliveira Junior,
Raimundo C. and Vieira, Ima C. G. and Barlow, Jos",
affiliation = "{University of Lancaster} and {Stockholm Environmental Institute}
and {International Institute of Sustainability} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade de
S{\~a}o Paulo (USP)} and {Universidade de S{\~a}o Paulo (USP)}
and {Universidade de S{\~a}o Paulo (USP)} and {Embrapa Amazonia
Oriental} and {Museu Paraense Emilio Goeldi} and {University of
Lancaster}",
title = "Developing cost-effective field assessments of carbon stocks in
human-modified tropical forests",
journal = "PLoS One",
year = "2015",
volume = "10",
number = "8",
pages = "e0133139",
month = "Aug.",
abstract = "Across the tropics, there is a growing financial investment in
activities that aim to reduce emissions from deforestation and
forest degradation, such as REDD+. However, most tropical
countries lack on-the-ground capacity to conduct reliable and
replicable assessments of forest carbon stocks, undermining their
ability to secure long-term carbon finance for forest conservation
programs. Clear guidance on how to reduce the monetary and time
costs of field assessments of forest carbon can help tropical
countries to overcome this capacity gap. Here we provide such
guidance for cost-effective one-off field assessments of forest
carbon stocks. We sampled a total of eight components from four
different carbon pools (i.e. aboveground, dead wood, litter and
soil) in 224 study plots distributed across two regions of eastern
Amazon. For each component we estimated survey costs, contribution
to total forest carbon stocks and sensitivity to disturbance.
Sampling costs varied thirty-one-fold between the most expensive
component, soil, and the least, leaf litter. Large live stems (>=
10 cm DBH), which represented only 15% of the overall sampling
costs, was by far the most important component to be assessed, as
it stores the largest amount of carbon and is highly sensitive to
disturbance. If large stems are not taxonomically identified,
costs can be reduced by a further 51%, while incurring an error in
aboveground carbon estimates of only 5% in primary forests, but
31% in secondary forests. For rapid assessments, necessary to help
prioritize locations for carbon-conservation activities, sampling
of stems >= 20cm DBH without taxonomic identification can predict
with confidence (R-2 = 0.85) whether an area is relatively
carbon-rich or carbon-poor-an approach that is 74% cheaper than
sampling and identifying all the stems >= 10cm DBH. We use these
results to evaluate the reliability of forest carbon stock
estimates provided by the IPCC and FAO when applied to
human-modified forests, and to highlight areas where cost savings
in carbon stock assessments could be most easily made.",
doi = "10.1371/journal.pone.0133139",
url = "http://dx.doi.org/10.1371/journal.pone.0133139",
issn = "1932-6203",
language = "en",
targetfile = "berenguer_developing.pdf",
urlaccessdate = "27 abr. 2024"
}