Biomass equations for Brazilian semiarid caatinga plants

Sampaio, Everardo V. S. B.; Silva, Grécia C.

doi:10.1590/s0102-33062005000400028

Cited by 73 publications

(72 citation statements)

References 24 publications

(36 reference statements)

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“…As for the estimates of aboveground biomass (Figure 3), it was observed that the validation was consistent when using the equations of Návar-Cháidez (2009a) and the local equation of Sampaio and Silva (2005) for all species. The equation of Abreu et al (2016), although local, was not indicated to validate the biomass estimates.…”

Section: Resultssupporting

confidence: 53%

“…Sampaio and Silva (2005) -generic ... Sampaio et al (2010) ... Sampaio and Silva (2005) ... Where: SSE is the sum of squares of the errors; P and n were already defined. This criterion penalizes the addition of parameters in the analyzed functions.…”

Section: Ophthalmocentramentioning

confidence: 99%

“…In multi-species biomass data, different dendrometric amplitudes can lead to biased predictions at local or global levels (Chave et al 2005). In order to avoid this bias and to fill the lack of specific models in the dry forests located in Brazil, three large studies (Sampaio and Silva 2005, Alves Junior et al 2013, generated generic equations for both community (multi-species) and for individual specimens, and exceeded those caveats in accounting for large datasets in those sites with the same morphoclimatic domain (Db> 3 cm). However, the statistical validation of global generic equations for dry forests (Návar-Cháidez 2009a, 2009b should be verified and compared with local equations, as well as to measure errors in biomass stock estimates.…”

Section: Introductionmentioning

confidence: 99%

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Predicting of biomass in Brazilian tropical dry forest: a statistical evaluation of generic equations

Lima

Alves

Oliveira

et al. 2017

An. Acad. Bras. Ciênc.

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Dry tropical forests are a key component in the global carbon cycle and their biomass estimates depend almost exclusively of fitted equations for multi-species or individual species data. Therefore, a systematic evaluation of statistical models through validation of estimates of aboveground biomass stocks is justifiable. In this study was analyzed the capacity of generic and specific equations obtained from different locations in Mexico and Brazil, to estimate aboveground biomass at multi-species levels and for four different species. Generic equations developed in Mexico and Brazil performed better in estimating tree biomass for multi-species data. For Poincianella bracteosa and Mimosa ophthalmocentra, only the Sampaio and Silva (2005) generic equation was the most recommended. These equations indicate lower tendency and lower bias, and biomass estimates for these equations are similar. For the species Mimosa tenuiflora, Aspidosperma pyrifolium and for the genus Croton the specific regional equations are more recommended, although the generic equation of Sampaio and Silva (2005) is not discarded for biomass estimates. Models considering gender, families, successional groups, climatic variables and wood specific gravity should be adjusted, tested and the resulting equations should be validated at both local and regional levels as well as on the scales of tropics with dry forest dominance.

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Section: Resultssupporting

confidence: 53%

Section: Ophthalmocentramentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predicting of biomass in Brazilian tropical dry forest: a statistical evaluation of generic equations

Lima

Alves

Oliveira

et al. 2017

An. Acad. Bras. Ciênc.

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“…According to forestry experts, an assumed average rate of growth of DGL of 4 mm per year from age 12 on could then yield a 20 yr value for DGL of 412 mm. We then used an allometric equation of Sampaio and Silva (2005) for Jatropha mollissima in Brazil to calculate the most likely biomass at 20 yr. This equation predicted that the average dry biomass would be 140 kg per tree above ground and 55 kg below ground.…”

Section: Biomass Production and Carbon Sequestrationmentioning

confidence: 99%

Carbon farming in hot, dry coastal areas: an option for climate change mitigation

et al. 2013

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Abstract. We present a comprehensive, interdisciplinary project which demonstrates that large-scale plantations of Jatropha curcas – if established in hot, dry coastal areas around the world – could capture 17–25 t of carbon dioxide per hectare per year from the atmosphere (over a 20 yr period). Based on recent farming results it is confirmed that the Jatropha curcas plant is well adapted to harsh environments and is capable of growing alone or in combination with other tree and shrub species with minimal irrigation in hot deserts where rain occurs only sporadically. Our investigations indicate that there is sufficient unused and marginal land for the widespread cultivation of Jatropha curcas to have a significant impact on atmospheric CO2 levels at least for several decades. In a system in which desalinated seawater is used for irrigation and for delivery of mineral nutrients, the sequestration costs were estimated to range from 42–63 EUR per tonne CO2. This result makes carbon farming a technology that is competitive with carbon capture and storage (CCS). In addition, high-resolution simulations using an advanced land-surface–atmosphere model indicate that a 10 000 km2 plantation could produce a reduction in mean surface temperature and an onset or increase in rain and dew fall at a regional level. In such areas, plant growth and CO2 storage could continue until permanent woodland or forest had been established. In other areas, salinization of the soil may limit plant growth to 2–3 decades whereupon irrigation could be ceased and the captured carbon stored as woody biomass.

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“…No Brasil os modelos preditores de fitomassa florestal, a partir de métodos destrutivos, concentraramse nas Florestas Amazônicas (Klinge et al 1975, Uhl & Jordan 1984, McWillian et al 1993, Kauffman et al 1994, Santos 1996, Higuchi et al 1998, Nelson et al 1999, Nogueira et al 2007, Nogueira et al 2008. Em menor número, encontram-se os modelos desenvolvidos para outros ecossistemas, tais como: Cerrados (Delitti & Meguro 1984, Castro & Kauffman 1998, Abdala et al 1998, Delitti et al 2006, Caatinga (Sampaio & Silva 2005), Mata Mesófila Semidecídua Ciliar (Moreira- Burger & Delitti 1999), Manguezal (Soares & Novelli 2005) e Mata Atlântica (Burger & Delitti, 2008).…”

Section: Introductionunclassified

Modelos preditores da fitomassa aérea da Floresta Baixa de Restinga

Moreira-Burger¹,

Delitti²

2010

Rev. bras. Bot.

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-(Regression models to estimate aboveground phytomass of the Floresta Baixa de Restinga). The purpose of this study was to develop equations to estimate the aboveground phytomass of the Floresta Baixa de Restinga. We selected 102 trees of 29 species occurring in the study area and 102 trees of Syagrus romanzoffiana (Cham.) Glassman, distributed proportionately among the diameter classes of trees. The trees were cut at ground level and the total height and diameter at breast height (DBH) of each tree were measured. Leaves and woody material were separated in order to determine their fresh weights under field conditions. Samples of each fraction were oven dried at 70 °C to constant weight to determine their dry weight. The models were developed by using single linear regression analysis, where the dependent variable was the dry mass (DW), and the independent variables were height (h), diameter (d), the product of diameter and height (d 2 h) and the product of diameter, height and woody density (r d 2 h). The models developed indicate that the diameter explains much of the variability of the trees phytomass and the tree height is the explanatory variable of the specific equation for Syagrus romanzoffiana. The best equations to estimate aboveground phytomass were: ln DW = -1. Autor para correspondência: deborahmburger@yahoo.com.br IntroduçãoA biomassa é considerada um importante parâmetro de caracterização dos ecossistemas, indicando sua capacidade de acúmulo de matéria orgânica ao longo do tempo. Em condições ideais, um ecossistema maduro atinge seu potencial máximo de armazenamento de material e os valores de biomassa podem ser usados como um ponto de referência.A matéria orgânica acumulada pela vegetação, a fitomassa, pode ser determinada através do corte e medida da massa das plantas de uma área amostral relativamente pequena, cujo valor médio encontrado é extrapolado para uma área maior. Ecossistemas florestais raramente têm sua fitomassa medida por métodos destrutivos devido às dificuldades inerentes a este tipo de estudo, como o elevado custo e as restrições legais referentes ao corte da vegetação. A fitomassa de florestas, em geral, é estimada de maneira indireta, através da aplicação de modelos preditores desenvolvidos a partir das relações alométricas encontradas nos componentes da vegetação. Porém, são necessários modelos específicos para os diferentes ecossistemas para que o erro das estimativas seja minimizado (Rochow 1974, McWillian et al. 1993.Os modelos preditores são elaborados a partir de análise de regressão, onde se estudam as relações entre a massa seca das árvores e seus dados facilmente mensuráveis, como altura e diâmetro. Diversos tipos

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Biomass equations for Brazilian semiarid caatinga plants

Cited by 73 publications

References 24 publications

Predicting of biomass in Brazilian tropical dry forest: a statistical evaluation of generic equations

Predicting of biomass in Brazilian tropical dry forest: a statistical evaluation of generic equations

Carbon farming in hot, dry coastal areas: an option for climate change mitigation

Modelos preditores da fitomassa aérea da Floresta Baixa de Restinga

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