Comparison of biomass production, tree allometry and nutrient use efficiency of multipurpose trees grown in woodlot and silvopastoral experiments in Kerala, India

Kumar, B. Mohan; George, Suman; Jamaludheen, V.; Suresh, T.

doi:10.1016/s0378-1127(98)00325-9

Cited by 85 publications

(9 citation statements)

References 19 publications

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“…Although we did not measure deeper soil (10-50 cm), the modeled C stocks for this depth were consistent with field studies by others in Kerala agroforestry systems [45]. In addition, the modeled aboveground C stocks were within ranges reported in the literature [40,42,46]. Although true validation of the model was not possible, the congruence of the modeled output with measured soil C stocks in this and other studies indicated that the model captured the C dynamics of these systems sufficiently well for us to evaluate the outcome of our modeling experiments.…”

Section: Discussionsupporting

confidence: 89%

“…We parameterized the model (version 4.5, forest mode) for climate in the Thrissur District using monthly maximum and minimum temperature and precipitation data from the Vellanikkara weather station of Kerala Agricultural University Thrissur (Table S1). We used published data for crops, trees, and soils in these systems [14,[40][41][42]] to parameterize the model for the baseline run. We modeled a typical land-use-change scenario for the region, i.e., the "spin-up", that consisted of allowing the natural vegetation of semi-evergreen forest to grow for 1800 years, followed by slash-and-burning of the forest and establishment of a homegarden for 98 years (CENTURY "Schedule" file, Table S2).…”

Section: Modelingmentioning

confidence: 99%

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Modeling Experiments for Evaluating the Effects of Trees, Increasing Temperature, and Soil Texture on Carbon Stocks in Agroforestry Systems in Kerala, India

Russell

Kumar

2019

Forests

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Research Highlights: Agroforestry systems in the humid tropics have the potential for high rates of production and large accumulations of carbon in plant biomass and soils and, thus, may play an important role in the global C cycle. Multiple factors can influence C sequestration, making it difficult to discern the effect of a single factor. We used a modeling approach to evaluate the relative effects of individual factors on C stocks in three agricultural systems in Kerala, India. Background and Objectives: Factors such as plant growth form, management, climate warming, and soil texture can drive differences in C storage among cropping systems, but the relationships among these factors and their effects are complex. Our objective was to use CENTURY, a process-based model of plant–soil nutrient cycling, in an experimental mode to evaluate the effects of individual factors on C stocks in soil and biomass in monocultures (annuals or trees) and agroforestry systems. Materials and Methods: We parameterized the model for this region, then conducted simulations to investigate the effects on C stocks of four experimental scenarios: (1) change in growth form; (2) change in tree species; (3) increase in temperature above 20-year means; and (4) differences in soil texture. We compared the models with measured changes in soil C after eight years. Results: Simulated soil C stocks were influenced by all factors: growth form; lignin in tree tissues; increasing temperature; and soil texture. However, increasing temperature and soil sand content had relatively small effects on biomass C. Conclusions: Inclusion of trees with traits that promoted C sequestration such as lignin content, along with the use of best management practices, resulted in the greatest C storage among the simulated agricultural systems. Greater use and better management of trees with high C-storage potential can thus provide a low-cost means for mitigation of climate warming.

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Section: Discussionsupporting

confidence: 89%

Section: Modelingmentioning

confidence: 99%

Modeling Experiments for Evaluating the Effects of Trees, Increasing Temperature, and Soil Texture on Carbon Stocks in Agroforestry Systems in Kerala, India

Russell

Kumar

2019

Forests

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“…The missing effects of interactions could be explained due to in the first three years, the fast growing trees removed part of the soil nutrient reserves and did not produce enough litter. However, once the canopy was closed (4-5 years) the trees can act as self-nourishing system via litter production and decay [24]. The historical route of N fertilizer applied to the soil ranged from 200-250 kg ha -1 year -1 , O. Benavides in personal interview with the main author of the current study "personal communication" [25] but the residual N from historical fertilizer applications did not affect the current results because they occurred more than five years ago.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Soil Quality in Andosols Using Silvopastoral Systems

Rosales¹,

Hernández²,

Aguiar³

et al. 2018

TOASJ

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Background:An experiment was conducted to evaluate the effect of redesign and management upon soil quality variation using three agroecosystems: agro-ecosystem A1 (grasses, Alnus acuminata Kunth); agro-ecosystem A2 (grasses, Acacia melanoxylon R. Br.) and agro-ecosystem A3 (Rangeland). Methods:The trees were planted along the contour lines in December 2015. The total area was divided into three agro-ecosystems (AES). These consisted of 7.50, 4.64 and 6.25 ha managed with ten to eleven cows in A1, A2 and A3 respectively. The AES were divided into paddocks by means of electric fences. Composite soil samples were evaluated at the baseline and ten months later. Principles of rational grass management were applied with low input sustainable agriculture. The tree population density was 1000 ha -1 , planted in double rows, separated two meters apart. The genetic composition of dairy cows was 80 and 20% of Holstein and crossbreed Holstein x Jersey, respectively. Results:The effect of interaction between AES x year was not found. The effect of the agro-ecosystems upon the soil quality only showed significant differences (p <0.05) in pH (5.

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“…In this study, we defined NUE and PUE as units of aboveground biomass per accumulated N and P, respectively (Kumar et al 1998;Laulau et al 2000;Kimaro et al 2007). The original definition of nutrient use efficiency was net primary production per amount of nutrients taken up (Hirose 1975).…”

Section: Nitrogen and Phosphorus Use Efficiencymentioning

confidence: 99%

“…However, whether nutrient accumulation per unit biomass differs between fast-and slow-growing trees is not known. Previous studies compared nutrient use efficiencies among several fast-growing trees (Kumar et al 1998;Hiremath et al 2002), some Acacia species (Kimaro et al 2007) and some Eucalyptus species (Laclau et al 2000), but differences in nutrient use efficiency among Acacia, Eucalyptus and other slower-growing trees are undocumented. Some fast-growing tree species have strategies that allow them to grow on degraded soils.…”

Section: Introductionmentioning

confidence: 99%

Nutrient accumulation in aboveground biomass of planted tropical trees: a meta-analysis

Inagaki

Tange

2014

Soil Science and Plant Nutrition

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Efficient nutrient use is essential for biomass production by tropical trees growing in infertile soils. Accumulation of nitrogen (N) and phosphorus (P) in the aboveground biomass of four groups of tree stands [Acacia, Eucalyptus, N 2-fixing trees excluding Acacia, and other non-N 2-fixing broadleaved (ONNFB) trees] were investigated using meta-analyses of a range of biomass data to test the hypothesis that fast-growing Acacia and Eucalyptus trees accumulate fewer nutrients. Data for 83 tropical tree stands were selected from the literature. Standardized major axis regressions were applied between the log 10-transformed biomass and N or P accumulation. Nutrient use efficiency was compared with aboveground biomass and topsoil conditions. The slope of the regression between aboveground biomass and N accumulation for Eucalyptus was significantly smaller than the slopes for the N 2-fixing trees (excluding Acacia) and the ONNFB trees. N use efficiency of Eucalyptus increased with biomass more than that of N 2-fixing trees (excluding Acacia) and the ONNFB trees, because their stems and twigs tended to accumulate less N than in the other groups as biomass increased. The regressions between aboveground biomass and P accumulation had a common slope, and the intercepts of Acacia and Eucalyptus were significantly lower than that of ONNFB trees. P use efficiency of Acacia was consistently higher than that of the ONNFB trees. P use efficiency is more affected by other factors like soil conditions than is N use efficiency, and the differences in the tree groups significantly affect the use efficiency of both nutrients. These results explained some aspects of the general suitability of Acacia and Eucalyptus species for tropical plantations on infertile soils.

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Comparison of biomass production, tree allometry and nutrient use efficiency of multipurpose trees grown in woodlot and silvopastoral experiments in Kerala, India

Cited by 85 publications

References 19 publications

Modeling Experiments for Evaluating the Effects of Trees, Increasing Temperature, and Soil Texture on Carbon Stocks in Agroforestry Systems in Kerala, India

Modeling Experiments for Evaluating the Effects of Trees, Increasing Temperature, and Soil Texture on Carbon Stocks in Agroforestry Systems in Kerala, India

Assessment of Soil Quality in Andosols Using Silvopastoral Systems

Nutrient accumulation in aboveground biomass of planted tropical trees: a meta-analysis

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