Predicting moisture dynamics of fine understory fuels in a moist tropical rainforest system: results of a pilot study undertaken to identify proxy variables useful for rating fire danger

19 de julho de 2010

jul 19, 2010

David Ray, Dan Nepstad, Paulo Moutinho Brando

The use of fire as a land management tool in the moist tropics often has the unintended consequence of degrading adjacent forest, particularly during severe droughts. Reliable models of fire danger are needed to help mitigate these impacts.

Here, we studied the moisture dynamics of fine understory fuels in the east-central Brazilian Amazon during the 2003 dry season. Drying stations established under varying amounts of canopy cover (leaf area index (LAI)=0–5.3) were subjected to a range of water inputs (5–15 mm) and models were developed to forecast litter moisture content (LMC). Predictions were then compared with independent field data.

A multiple linear regression relating litter moisture content to forest structure (LAI), ambient vapor pressure deficit (VPDM) and an index of elapsed time since a precipitation event (d−1) was identified as the best-fit model (adjusted R2=0.89). Relative to the independent observations, model predictions were relatively unbiased when the LMC was ≤ 50%, but consistently underestimated the LMC when the observed values were higher.

The approach to predicting fire danger based on forest structure and meteorological variables is promising; however, additional information to the LAI, for example forest biomass, may be required to accurately capture the influence of forest structure on understory microclimate.

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Este projeto está alinhado aos Objetivos de Desenvolvimento Sustentável (ODS).

Saiba mais em brasil.un.org/pt-br/sdgs.

Veja também

See also

Sustainable Settlements Project – Report

Sustainable Settlements Project – Report

The Sustainable Settlements Project (PAS –Projeto Assentamentos Sustentáveis in Portuguese) was initiated in 2012, with the support of the Amazon Fund and the FVPP (Live, Produce and Preserve Foundation in the Portuguese acronym), with the challenge of proposing and implementing a model that associates increased income for family farmers and reduced deforestation levels in Land Reform.

Ecosystem productivity and carbon cycling in intact and annually burnt forest at the dry southern limit of the Amazon rainforest (Mato Grosso, Brazil)

Ecosystem productivity and carbon cycling in intact and annually burnt forest at the dry southern limit of the Amazon rainforest (Mato Grosso, Brazil)

Background: The impact of fire on carbon cycling in tropical forests is potentially large, but remains poorly quantified, particularly in the locality of the transition forests that mark the boundaries between humid forests and savannas. Aims: To present the first...