Evaluating soil quality and carbon storage in Western Ghats Forests, Karnataka, India, for sustainable forest management.

Autor: Saha K; University of Agricultural Sciences, GKVK, Bengaluru, 560 065, Karnataka, India. kaushiksaha688@gmail.com.; Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, Pin-741 252, West Bengal, India. kaushiksaha688@gmail.com., Kumar KSA; ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Bengaluru, 560 024, Karnataka, India., Nair KM; ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Bengaluru, 560 024, Karnataka, India., Lalitha M; ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Bengaluru, 560 024, Karnataka, India., Das P; ICAR-Indian Agricultural Statistics Research Institute, New Delhi, Delhi, 110 012, India., Maske SP; ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Bengaluru, 560 024, Karnataka, India., Jacob PJ; Rubber Research Institute of India, Kottayam, 686009, Kerala, India., Jessy MD; Rubber Research Institute of India, Kottayam, 686009, Kerala, India., Karthika KS; ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Bengaluru, 560 024, Karnataka, India., Ramamurthy V; ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Bengaluru, 560 024, Karnataka, India., Patil NG; ICAR-National Bureau of Soil Survey and Land Use Planning, Amravati Road, Nagpur, 400033, India.
Jazyk: angličtina
Zdroj: Environmental monitoring and assessment [Environ Monit Assess] 2024 Oct 18; Vol. 196 (11), pp. 1072. Date of Electronic Publication: 2024 Oct 18.
DOI: 10.1007/s10661-024-13216-7
Abstrakt: Monitoring soil quality index (SQI) and soil organic carbon (SOC) stock status of the Western Ghats (WG) forests in India is crucial for providing vital ecosystem services alongside sustainable forest management practices. However, comprehensive profile data on SQI and SOC stock across different forest types under WG forests are limited. The study evaluated SQI and SOC stock under three forest types, i.e. tropical wet evergreen (TWE), tropical semi-evergreen (TSE), and tropical moist deciduous (TMD) across WG in Karnataka. SQI was assessed using principal component analysis with two indexing approaches and scoring methodologies, with weightage indexing through nonlinear scoring functions (NLSF) showing superiority over other methodologies. TMD forests exhibited the highest SQI, followed by TWE and TSE, while the lowest was observed in Rippon Pet RF (0.36 surface, 0.28 control section), primarily due to limitations in organic carbon and clay content. SOC stock mirrored SQI trends (TMD > TWE > TSE), with the highest values in Kollegal RF (339.3 MG ha -1 ) and lowest in Rippon Pet RF (102.5 MG ha -1 ). Although SOC and SQI were established to be ideal indicators for dynamic ecosystem services (ESs), high OC content in surface soils of Poomale NF induces pedogenic acidification and Al toxicities, indicating potential forest soil degradation. Significant correlation with control section SQI and SOC (p < 0.05) emphasises monitoring subsurface soil status to identify soil degradation, sustainable forestry practices, and complex ESs in forest systems.
(© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
Databáze: MEDLINE
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