A study was conducted to identify suitable fast growing trees under wasteland condition for carbon sequestration. Accordingly, five fast growing trees namely Tectona grandis Linn. , Gmelina arborea Roxb., Dalbergia sissoo Roxb., Bambusa vulgaris var. vulgaris and Swietenia macrophylla king were selected for field study under wasteland condition. The performance of these trees was assessed with biometrical traits (height, basal diameter) and eco-physiological traits (transpiration, photosynthesis, intercellular CO 2 concentration and stomatal conductance). Among the five species, Dalbergia sissoo exhibited highest growth, productivity and also superior in ecophysiological traits suits for carbon sequestration. The tree species, Bambusa vulgaris var. vulgaris performed well next to Dalbergia sissoo interms of biometric, productivity and eco-physiological parameters. The lowest biometric and productivity was observed in Gmelina arborea. The tree species, Dalbergia sissoo and Bambusa vulgaris var. vulgaris are highly suitable for afforestation in wastelands to attain carbon sequestration benefits.
Aims: Forest restoration in urbanized and polluted cities is paving the way for mitigation of climate change by reducing the air pollutants level and carbon content level in atmosphere. So, the study was conducted at Coimbatore urban city, Tamil Nadu by using twenty five tree species to know their air pollution tolerance index (APTI) level. Study Design: The sample procedure used for assessing the APTI was stratified random sampling. Place and Duration of Study: The leaf sample was collected from different zones of Coimbatore urban city and the sample analysis was carried out in Department of Silviculture, Forest College and Research Institute, Mettupalayam, Tamil Nadu between August 2015-April 2017. Methodology: Five zones namely residential, industrial, commercial, heavy traffic and control zone were identified from Coimbatore city for estimating the air pollution tolerance index (APTI). In order to assess the air pollution tolerance index of tree species, the biochemical parameters like ascorbic acid content, total chlorophyll content, leaf extract pH and relative water content (RWC) were estimated. Results: Among the 25 tree species tested, Thespesia populnea recorded highest APTI of 16.07, 15.76, 14.63 and 14.37 in heavy traffic zone, industrial zone, control zone and residential zone respectively. In commercial zone, Pongamia pinnata accounted highest APTI value of 13.96. On contrary, the lowest level of APTI was registered by Michelia champaca in industrial zone (10.21), Peltophorum pterocarpum in heavy traffic zone (10.93), Spathodea campanulata in residential zone (11.11) and Albizia saman in commercial zone (11.46). Conclusion: On an overall, Thespesia populnea and Pongamia pinnata were performed well with highest APTI and they can be used for controlling the air pollution level in urban cities.
Aim: The present study aimed to investigate the host- specific compatibility of sandal (Santalum album) for better root proliferation and boosting the growth of tree. Methodology: Sandal (Santalum album) was grown with 8 different leguminous and non-leguminous species at early stage to evaluate its biometric growth (height and basal diameter) and physiological (chlorophyll, photosynthesis rate and transpiration rate) performance under field conditions. Results: Sandal grown with Sesbania grandiflora recorded highest biometric observations, chlorophyll, photosynthesis and transpiration rate followed by Sandal + Albizia lebbeck and sandal + Casuarina junghuhniana. The sandal grown with leguminous host showed superior growth performance than sandal grown with non-leguminous host. Interpretation: The present study recommended that Sesbania grandiflora can be grown as transit host for boosting the growth of sandal.
to study the growth performance of Neolamarckia cadamba, Acrocarpus fraxinifolius and Dalbergia sissoo under drip irrigation. The biometric attributes viz., height, basal diameter and diameter at breast height (DBH) were studied during 3 month after planting (MAP), 6 MAP, 9 MAP and 12 MAP. Among the three fast growing tree species, Neolamarckia cadamba exhibited a maximum height of 4.40 m, basal diameter of 5.31 cm and DBH of 5.03 cm followed by Acrocarpus fraxinifolius (Height of 3.99 m, basal diameter of 4.52 cm and DBH of 4.26 cm) and minimum in Dalbergia sissoo (Height of 3.37 m, basal diameter of 3.45 cm and DBH of 3.96 cm). The drip technology in tree species responded well to the drip irrigation system.
:To quantify the leaf litter bamboo (Bambusa vulgaris var. Vulgaris) plantation/year and assessing nutrient in litter an experiment was conducted in farmer's field at Kottur, Tanjore district during 2014 with three different type of spacing viz., 5 x 5m, 6 x 4m and 7 x 4m. The litter fall study was initiated during November 2013 and biometric parameters viz., tree height, DBH and number of culms were recorded. For litter fall quantification, green shade net was tied around the trees at different spacing and litter fall was quantified at 3 months intervals. Litter samples were collected and analysed for nutrient contents. Soil samples were collected, processed and analysed for changes in nutrient status. The result revealed that the growth of bamboo differed from tree spacing and it was observed that 7 x 4m spacing recorded maximum tree height (8.3m), number of culms (39.3) and DBH (4.4cm).The maximum quantity of litter fall observed in 6 x 4m of about 7000 kg ha -1 yr -1 .The analytical result showed that the nitrogen content in bamboo was varied between 2.042 to 2.099 per cent, total phosphorus between 0.265 to 0.275 and total potassium between 1.061 to 1.072 per cent. With regard to changes in soil properties, soil pH was found to be slightly alkaline (7.48) in nature at the time of establishment of the plantation but over period of five years it decreased to acidic (6.26) and soil EC was decreased from 0.156 to 0.125 dS m -1 .
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.