Forest Research Institute

About: Forest Research Institute is a facility organization based out in Dehra Dūn, India. It is known for research contribution in the topics: Population & Forest management. The organization has 5320 authors who have published 7625 publications receiving 185876 citations.

Carbon and phosphorus transformations during decomposition of pine forest floor with different phosphorus status

Abstract: Information on the mineralization of inorganic phosphate (Pi) from organically bound P (Po) during decomposition of forest floor and soil organic matter is vital for understanding P supply in forest ecosystems. Carbon (C) and phosphorus (P) fluxes were determined for forest floor samples from three Pinus radiata plots which had received no P (Control), 62.5 kg P ha–1 (Low P) and 125 kg P ha–1 (High P) 20 years before sampling. The P concentration of the forest floor samples had increased with fertilizer application, and the C:P ratio ranged between 585 and 1465. During a 9-week laboratory incubation 8.2–19.0% of the forest floor C was evolved as CO2-C. The amount of CO2 evolved from the forest floor of the Control plot was more than twice the amounts from the Low P and High P plots. There was little change in net P mineralization in the Control and Low P treatments throughout the incubation, but it increased slightly for the High P samples, suggesting a critical forest floor C:P ratio of 550 for net P mineralization. Changes in the 32P-specific activities of the Pi and microbial P pools during incubation, and concurrent changes in microbial-32P and 32Pi, indicated internal P cycling between these pools. The rate of internal P cycling varied with forest floor quality, and was highest in the High P forest floor. The High P samples had microbial C:P ratios of 22 : 1 which remained constant during the incubation, suggesting the microorganisms had adequate P levels.

Habitat heterogeneity and niche structure of trees in two tropical rain forests.

Abstract: Dispersal-assembly theories of species coexistence posit that environmental factors play no role in explaining community diversity and structure. Dispersal-assembly theories shed light on some aspects of community structure such as species-area and species-abundance relationships. However, species' environmental associations also affect these measures of community structure. Measurements of species' niche breadth and overlap address this influence. Using a new continuous measure of niche and a dispersal-assembly null model that maintains species' niche breadth and aggregation, we tested two hypotheses assessing the effects of habitat heterogeneity on the ability of dispersal-assembly theories to explain community niche structure. We found that in both homogenous and heterogeneous environments dispersal-assembly theories cannot fully explain observed niche structure. The performance of the dispersal-assembly null models was particularly poor in heterogeneous environments. These results indicate that non-dispersal based mechanisms are in part responsible for observed community structure and measures of community structure which include species' environmental associations should be used to test theories of species diversity.

Sample size calculation for comparing two negative binomial rates.

Abstract: Negative binomial model has been increasingly used to model the count data in recent clinical trials. It is frequently chosen over Poisson model in cases of overdispersed count data that are commonly seen in clinical trials. One of the challenges of applying negative binomial model in clinical trial design is the sample size estimation. In practice, simulation methods have been frequently used for sample size estimation. In this paper, an explicit formula is developed to calculate sample size based on the negative binomial model. Depending on different approaches to estimate the variance under null hypothesis, three variations of the sample size formula are proposed and discussed. Important characteristics of the formula include its accuracy and its ability to explicitly incorporate dispersion parameter and exposure time. The performance of the formula with each variation is assessed using simulations.

A biolistic approach for the transfer and expression of a gusA. reporter gene in embryogenic cultures of Pinus radiata.

Abstract: The biolistic® particle delivery system was used for the delivery of DNA into embryogenic tissue culture cells of Pinus radiata D. Don. Several experiments with varying parameters were performed to increase the delivery efficiency. Six different controlling elements were cloned upstream of the s-glucuronidase coding sequence (gusA reporter gene) and transient expression of the gusA reporter gene was compared three days after bombardment. The results clearly indicate a decrease in transient expression as follows: pEmu-derivatives with the ocs-enhancer-element > 2x CaMV 35S (with Kozak consensus-sequence) > 2x CaMV 35S (without Kozak consensus sequence) > CaMV 35S (with Kozak consensus-sequence) > CaMV 35S (without Kozak consensus sequence). Time course experiments monitoring gusA expression showed a significant decrease in the number of blue spots 10–14 days after bombardment. A few blue clumps however, were still detected 35 days after shooting. Embryo initials expressing the gusA gene in all cells were also detected. The results suggest that it will be possible to develop a reliable biolistic protocol for stable integration of genes into Pinus radiata embryogenic cultures which are capable of plant regeneration.