Spatially explicit analysis of field inventories for national forest carbon monitoring

David C. Marvin, Gregory P. Asner

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Background: Tropical forests provide a crucial carbon sink for a sizable portion of annual global CO2 emissions. Policiesthat incentivize tropical forest conservation by monetizing forest carbon ultimately depend on accurate estimatesof national carbon stocks, which are often based on field inventory sampling. As an exercise to understand the limitationsof field inventory sampling, we tested whether two common field-plot sampling approaches could accuratelyestimate carbon stocks across approximately 76 million ha of Perúvian forests. A 1-ha resolution LiDAR-based map ofcarbon stocks was used as a model of the country's carbon geography.Results: Both field inventory sampling approaches worked well in estimating total national carbon stocks, almostalways falling within 10 % of the model national total. However, the sampling approaches were unable to produceaccurate spatially-explicit estimates of the carbon geography of Perú, with estimates falling within 10 % of the modelcarbon geography across no more than 44 % of the country. We did not find any associations between carbon stockerrors from the field plot estimates and six different environmental variables.Conclusions: Field inventory plot sampling does not provide accurate carbon geography for a tropical country withwide ranging environmental gradients such as Perú. The lack of association between estimated carbon errors andenvironmental variables suggests field inventory sampling results from other nations would not differ from thosereported here. Tropical forest nations should understand the risks associated with primarily field-based samplingapproaches, and consider alternatives leading to more effective forest conservation and climate change mitigation.

Original languageEnglish (US)
Article number9
JournalCarbon Balance and Management
Volume11
Issue number1
DOIs
StatePublished - Dec 1 2016
Externally publishedYes

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carbon
monitoring
sampling
tropical forest
analysis
carbon sink
environmental gradient
geography
forest conservation

Keywords

  • Carnegie Airborne Observatory
  • Field sampling
  • Forest carbon stocks
  • Tropical forest

ASJC Scopus subject areas

  • Global and Planetary Change
  • Management, Monitoring, Policy and Law
  • Earth and Planetary Sciences (miscellaneous)
  • Earth and Planetary Sciences(all)

Cite this

Spatially explicit analysis of field inventories for national forest carbon monitoring. / Marvin, David C.; Asner, Gregory P.

In: Carbon Balance and Management, Vol. 11, No. 1, 9, 01.12.2016.

Research output: Contribution to journalArticle

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