Growth, biomass allocation, carbohydrate concentrations, nutrient concentrations, soil data and precipitation data Jaquetti and Gonçalves 2021
A 2-year forest restoration plantation of the Balbina Hydropower Dam, AM Brazil was studied of fertilized and unfertilized tree legumes plants. The treatments resulted from the combination of six tree legumes species under unfertilized and fertilized treatments. The species studied were Cenostigma tocantinum; Senna reticulata; Dipteryx odorata; Clitoria fairchildiana; Inga edulis; Acacia sp. The former three species are non-fixing and the latter are N-fixing species.
The raw data from
[dataset] Jaquetti RK, Growth analysis, biomass allocation, carbohydrates and nutrients dataset of tree legumes species under distinct fertilization regimes. Mendeley Data v4. 2020. http://dx.doi.org/10.17632/fj55scwr3g.4
was used to provide the mean values and ANOVA results for the fertilization treatments and species effects.
Detailed information on Methods used for data collection are found in
Jaquetti RK, Nascimento HEN, Zotarelli L, Rathinasabapathi B, Gonçalves JFC (2021) Coordinated adjustments of carbohydrates and growth of tree legumes under different fertilization regimes in degraded areas in Amazonia. Submitted to New Forests.
Results of the dataset are presented by
Jaquetti RK, Gonçalves JFC (2021) Dataset on the fertilization, species and N-fixers effects on growth rates, biomass allocation, carbohydrates and nutrients of tree legumes during tropical forest restoration. Submitted to BMC Research Notes.
Precipitation
Monthly precipitation near the experimental area was measured at the Balbina Hydropower Dam climatic station in Presidente Figueiredo, AM Brazil. In Fig. 1 the dotted line presents the mean monthly precipitation from 1980 to 2010 with precipitation above 100 mm month-1 in the drier months. The period influenced by the 2015/16 El Niño Southern Oscillation ENSO is squared highlighted with a 60-day period of precipitation close to zero (Fig. 1).
Diameter, height and biomass growth rates
The collar diameter and stem length was measured with a digital caliper rule and with a hypsometric stick respectively. The selected individuals were harvested and separated into three main pools (roots, leaves and stems); samples were oven dried at 65 °C and weighed for the biomass determination. The absolute (AGR) and relative (RGR) growth rates of diameter (D), height (H) and biomass (Bio) was calculated according to Hunt (1990) and biomass allocation as described by Poorter et al. (2012) (Fig. 2 and Table 3). The annual increment of biomass carbon stocks (∆CB) was estimated individually as the product between annual biomass production and C fraction according with IPCC (2006) guidelines (Table 4). Highest and lowest mean RGRD values were found respectively, in fertilized Acacia sp. (2.0 cm cm-1 year-1) and unfertilized D. odorata (0.4 cm cm-1 year-1) treatments.
Nutrients and nonstructural carbohydrates analysis
Oven dried samples of the leaves, stems and roots material were used to the nutrients and nonstructural carbohydrates analysis. The N concentrations (mass basis) and C fractions were assessed with the 2400 Series II CHNS/O Organic Elemental Analyzer (PerkinElmer Inc., Waltham, MA, USA). The P concentrations were determined by spectrophotometry, as described by Vitti and Ferreira (1997) (Table 4). Soluble sugars and starch were determined by the colorimetric method as described by Black et al. (1996) (Table 5).
C. tocantinum increased P concentrations in leaves (PL) values under low-nutrient treatment (3.3 g kg-1). Acacia sp. had the highest C fractions in the leaves (CL) values (0.51 g g-1). The highest NL values were found in fertilized I. edulis (29.8 g kg-1) and C. fairchildiana (29.4 g kg-1). Highest values for both soluble sugars concentration in leaves (SSL) (119.3 g kg-1) and starch concentrations in leaves (starchL) (213.7 g kg-1) were found in S. reticulata.
Correlation between RMF vs. starchR and RGRD vs. ∆CB
Data of fertilized treatment was used to determine the the actual correlation between root mass fraction (RMF) vs. starchR and RGRD vs. ∆CB. Positive potential relationships were found between individual RMF vs. starchR (R² = 0.37) and ∆CB vs. RGRD (R² = 0.92).
