Biodiversity and Soil Properties of Saranda Sal Forest: Implications for Conservation and Management

Shambhu Nath Mishra, Rahul Kumar, V. Panwar
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Abstract

Aims: This study is significant as it elucidates the relationship between floristic composition and soil nutrient availability of India's Saranda Sal (Shorea robusta Gaertn.) forest. Study Design: Vegetation sampling was done following a grid of 5 km x 5 km, and soil sampling was done in each sampling plot using a Z-pattern. Place and Duration of Study: The study was conducted in Saranda Forest of West Singhbhum district, Jharkhand, Eastern India, during 2021-2022 Methodology:  Sampling has been designed as grid methods (5 km X 5 km) following a forest survey of India, and vegetation sampling was done by quadrat method. The soil samples were collected from three depths (i.e., surface: 0–30 cm, sub-surface: 30–60 cm and inner: 60-90 cm from each selected site. ANOVAs were used to compare the chemical properties of soil samples from various forests. Pearson correlation analyses to examine the effects of climatic variables on chemical properties of the soil of selected Sal forest as well as their relation with plant diversity. Results: A comprehensive analysis of 5432 vascular plants from 65 species and 34 families was conducted across the 17 sites. Fabaceae is the most dominant family with 07 species. The study also examined soil chemical parameters and micronutrients in different sites and established their relations with vegetation dynamics. Notably, tree density showed a significant positive correlation with soil pH (r=0.59, p<0.05), but a significant negative correlation with Shannon diversity (H') (r=-0.53, p<0.05). Similarly, there was a significant positive correlation of Organic carbon with copper (r=0.59, p<0.05) and iron (r=0.61, p<0.00); however, there was a significant negative correlation with Available Phosphorus (r=-0.52, p<0.05). Conclusion: Research findings underscore the importance of soil nutrients in promoting forest health and growth. Importantly, they can guide the formulation of practical and effective soil-forest management strategies for S. robusta and its associated forests, directly benefiting the forestry and environmental science community.
萨兰达盐林的生物多样性和土壤特性:对保护和管理的影响
目的:本研究阐明了印度萨兰达萨尔(Shorea robusta Gaertn.)森林的植物组成与土壤养分供应之间的关系,意义重大。研究设计:植被采样按照 5 km x 5 km 的网格进行,土壤采样则在每个采样地块中以 Z 型模式进行。研究地点和时间:研究于 2021-2022 年期间在印度东部恰尔肯德邦西辛格布姆县的萨兰达森林进行: 按照印度森林调查的方法,设计了网格取样法(5 km X 5 km),并采用四分法进行植被取样。土壤样本从三个深度采集(即表层 0-30 厘米、次表层 0-30 厘米、中层 0-30 厘米):表层:0-30 厘米,次表层30-60 厘米和内部:每个选定地点的土壤样本深度为 60-90 厘米。方差分析用于比较不同森林土壤样本的化学特性。通过皮尔逊相关分析,研究气候变量对所选萨尔森林土壤化学性质的影响及其与植物多样性的关系。结果对 17 个地点的 65 种 34 科 5432 种维管束植物进行了综合分析。豆科是最主要的科,有 07 种。研究还考察了不同地点的土壤化学参数和微量营养元素,并确定了它们与植被动态的关系。值得注意的是,树木密度与土壤 pH 值呈显著正相关(r=0.59,p<0.05),但与香农多样性(H')呈显著负相关(r=-0.53,p<0.05)。同样,有机碳与铜 (r=0.59, p<0.05) 和铁 (r=0.61, p<0.00) 呈显著正相关;但与可用磷 (r=-0.52, p<0.05) 呈显著负相关。结论研究结果强调了土壤养分对促进森林健康和生长的重要性。重要的是,这些研究结果可以指导为 S. robusta 及其相关森林制定切实有效的土壤-森林管理策略,使林业和环境科学界直接受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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