A Satellite Model of Forest Flammability

Steininger, Marc K.; Tabor, Karyn; Small, Jennifer; Pinto, Carlos; Soliz, Johan; Chavez, Ezequiel

doi:10.1007/s00267-013-0073-1

Cited by 6 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As well as being evaluated at the KEN-01, we also investigated the effect of different precipitation regimes through substitution of the KEN-01 precipitation values (P A = 1.51 m a −1 ) with the hourly record of a site close to TUC-01 and made in an apparently very dry year (Steininger et al, 2013) (P A = 0.54 m a −1 ) and the wettest year of an hourly 6-year record from a site in the Amazon forest region proper (TAP-04), as provided by Kim et al (2012) (P A = 2.15 m a −1 ). Providing a fourth (so as to provide a series of precipitation regimes in approximately 0.5 m increments) we also generated an artificial regime of P A = 1.1 m a −1 by simply multiplying each KEN-01 precipitation event by 0.7.…”

Section: B2 Driving Variables and Model Progressionmentioning

confidence: 99%

Edaphic, structural and physiological contrasts across Amazon Basin forest-savanna ecotones suggest a role for potassium as a key modulator of tropical woody vegetation structure and function

Domingues¹,

Schrodt²,

Ishida³

et al. 2015

Preprint

View full text Add to dashboard Cite

Abstract. Sampling along a precipitation gradient in tropical America extending from ca. 0.8 to 2.0 m a−1, savanna soils had consistently lower exchangeable cation concentrations and higher C/N ratios than nearby forest plots. These soil differences were also reflected in canopy averaged leaf traits with savanna trees typically having higher leaf mass per unit area but lower mass-based nitrogen (Nm) and potassium (Km). Both Nm and Km also increased with declining mean annual precipitation (PA), but most area-based leaf traits such as leaf photosynthetic capacity showed no systematic variation with PA or vegetation type. Despite this invariance, when taken in conjunction with other measures such mean canopy height, area-based soil exchangeable potassium content, [K]sa, proved to be an excellent predictor of several photosynthetic properties (including 13C isotope discrimination). Moreover, when considered in a multivariate context with PA and soil plant available water storage capacity (θP) as covariates, [K]sa also proved to be an excellent predictor of stand-level canopy area, providing drastically improved fits as compared to models considering just PA and/or θP. Neither calcium, magnesium nor soil pH could substitute for potassium when tested as alternative model predictors (ΔAIC > 10). Nor for any model could simple soil texture metrics such as sand or clay content substitute for either [K]sa or θP. Taken in conjunction with recent work in Africa and the forests of the Amazon Basin this suggests – in combination with some newly conceptualised interacting effects of PA and θP also presented here – a critical role for potassium as a modulator of tropical vegetation structure and function.

show abstract

Section: B2 Driving Variables and Model Progressionmentioning

confidence: 99%

Edaphic, structural and physiological contrasts across Amazon Basin forest-savanna ecotones suggest a role for potassium as a key modulator of tropical woody vegetation structure and function

Domingues¹,

Schrodt²,

Ishida³

et al. 2015

Preprint

View full text Add to dashboard Cite

show abstract

“…In 2008, CI expanded the system to include Indonesia, Bolivia and Peru (Butler 2008). That same year CI created a complementary system providing daily flammability risk forecasts for the SW Amazon derived from NRT satellite estimates of temperature, precipitation and relative humidity (Steininger et al 2013). Combined, these systems supported more than 1300 subscribers from 43 countries.…”

Section: Introductionmentioning

confidence: 99%

Conservation impacts of a near real‐time forest monitoring and alert system for the tropics

Musinsky

Tabor

Cano

et al. 2018

Remote Sens Ecol Conserv

Self Cite

View full text Add to dashboard Cite

Near real-time (NRT) forest monitoring and alert systems based on remotely sensed data are among the most recently developed tools to help manage and protect forest resources. The use of satellite and airborne remote sensing to quickly and accurately detect activities associated with deforestation has great potential for catalyzing local response teams responsible for assessing and interdicting threats to tropical forest ecosystems. To better understand the utility of NRT monitoring technologies in improving environmental protection and management, from 2008 to 2016 Conservation International conducted a series of surveys and interviews with users of these systems in four countries where wildfires threaten tropical forest ecosystems: Madagascar, Indonesia, Bolivia and Peru. Users reported that NRT forest monitoring systems made significant contributions to improving the ability of conservation and forest management organizations to respond to and reduce the impacts of fire, deforestation and other illegal or undesirable forest activity. Understanding the types of applications for which users successfully employed forest monitoring data, the challenges they faced in accessing, analyzing or disseminating these data, and the lessons learned from our attempts to develop and deploy NRT forest monitoring systems is useful to institutions interested in successfully incorporating NRT monitoring into their work.

show abstract

Using Satellite Estimates of Precipitation for Fire Danger Rating

Field

2020

Advances in Global Change Research

View full text Add to dashboard Cite

A Satellite Model of Forest Flammability

Cited by 6 publications

References 35 publications

Edaphic, structural and physiological contrasts across Amazon Basin forest-savanna ecotones suggest a role for potassium as a key modulator of tropical woody vegetation structure and function

Edaphic, structural and physiological contrasts across Amazon Basin forest-savanna ecotones suggest a role for potassium as a key modulator of tropical woody vegetation structure and function

Conservation impacts of a near real‐time forest monitoring and alert system for the tropics

Using Satellite Estimates of Precipitation for Fire Danger Rating

Contact Info

Product

Resources

About