2015
DOI: 10.1590/01047760201521011460
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CLIMATE-TREE GROWTH RELATIONSHIPS OF Mimosa tenuiflora IN SEASONALLY DRY TROPICAL FOREST, BRAZIL

Abstract: Mimosa tenuiflora is a native pioneer tree from the Caatinga used commercially as firewood due to its high calorific value. It is deciduous, its trunk does not reach large diameters and it has good regrowth capacity. This study intended to determine the annual increment in diameter of M. tenuiflora and its correlation with rainfall, as basis for fuel wood management. Disks from the stem base of M. tenuiflora trees were collected in 2008 in Sertânia and Serra Talhada, Pernambuco State, from regrowth of trees co… Show more

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Cited by 22 publications
(11 citation statements)
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“…The correlation between copaíba growth and precipitation at PES indicates that, in this case, the increase of rainfalls in the summer and during the transition of seasons favor the growth rate of this species. A number of authors confirm this analysis, concluding that precipitation is the main factor that influences the growth of trees (FRITTS, 1976;WORBES et al, 2003;DÜNISCH et al, 2003;BRIENEN;ZUIDEMA, 2005;GEBREKIRSTOS et al, 2008;SASS-KLAASSEN et al, 2008;MELO JÚNIOR et al, 2011;LATORRACA et al, 2015;MATTOS et al, 2015). Additionally, a significant correlation was detected between the growth of the rings and the precipitation in the transition from the dry season to the wet season in the current and in the previous year.…”
Section: Correlation Of Copaifera Langsdorffii Chronology and Meteoromentioning
confidence: 74%
See 1 more Smart Citation
“…The correlation between copaíba growth and precipitation at PES indicates that, in this case, the increase of rainfalls in the summer and during the transition of seasons favor the growth rate of this species. A number of authors confirm this analysis, concluding that precipitation is the main factor that influences the growth of trees (FRITTS, 1976;WORBES et al, 2003;DÜNISCH et al, 2003;BRIENEN;ZUIDEMA, 2005;GEBREKIRSTOS et al, 2008;SASS-KLAASSEN et al, 2008;MELO JÚNIOR et al, 2011;LATORRACA et al, 2015;MATTOS et al, 2015). Additionally, a significant correlation was detected between the growth of the rings and the precipitation in the transition from the dry season to the wet season in the current and in the previous year.…”
Section: Correlation Of Copaifera Langsdorffii Chronology and Meteoromentioning
confidence: 74%
“…Dendrochronology is a science that studies the formation of growth rings in plant species. The formation of these rings can be influenced by climatic, physical, genetic and/or anthropic events, such as precipitation, temperature, frequency of floodings, prolonged drought, soil quality, species deciduousness, and types of forest management (WORBES et al, 2003;LISI, et al, 2008;SOUTHWORT et al, 2013;LATORRACA et al, 2015;MATTOS et al, 2015;LATORRACA, 2016;FIGUEIREDO FILHO et al, 2017). Thus, growth rings can provide information on past and present environmental conditions (SOUTHWORT et al, 2013;FIGUEIREDO FILHO et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Growth series obtained by dendrochronology became more popular as an alternative to permanent-plot data to supply the demand for information and growth models of species (Brienen, 2005;Brienen;Zuidema, 2006a;Schöngart, 2011;Mattos et al, 2015;Canetti et al, 2017;Groenendijk et al, 2017;Miranda, D. L. C. et al, 2018). Growth ring analysis is a fast and reliable tool for assessing tree age, determining its growth rates over the life cycle, and identifying growth differences between species (Groenendijk et al, 2017;Rosa et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…It also allows the estimation of wood production and calculation of the harvesting time accurately (Skovsgaard and Vanclay, 2008;Braz et al, 2012). Moreover, this information also describes forest competition effects (Curto, 2015), which assists in establish better periods for silvicultural interventions (Santos et al, 2015), periods required for the restoration of the removed forest volume (Braz et al, 2014), forest relationships with the climate, and site index (Mattos et al, 2015), using simple models. These models assume that the forest production and dynamics is an effect of its age, site index and competition.…”
Section: Introductionmentioning
confidence: 99%