评估印度卡纳塔克邦西高止山脉森林的土壤质量和碳储量，以实现可持续森林管理。

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

机构信息

University of Agricultural Sciences, GKVK, Bengaluru, 560 065, Karnataka, India.

Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, Pin-741 252, West Bengal, India.

出版信息

Environ Monit Assess. 2024 Oct 18;196(11):1072. doi: 10.1007/s10661-024-13216-7.

DOI:10.1007/s10661-024-13216-7

PMID:39422796

Abstract

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) and lowest in Rippon Pet RF (102.5 MG ha). 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.

摘要

监测印度西高止山脉（Western Ghats，简称 WG）森林的土壤质量指数（Soil Quality Index，简称 SQI）和土壤有机碳（Soil Organic Carbon，简称 SOC）储量对于提供重要的生态系统服务以及可持续的森林管理实践至关重要。然而，有关 WG 森林不同森林类型下的 SQI 和 SOC 储量的综合概况数据有限。本研究评估了卡纳塔克邦 WG 下三种森林类型（热带湿润常绿林、热带半常绿林和热带湿润落叶林）的 SQI 和 SOC 储量。采用主成分分析（Principal Component Analysis），结合两种索引方法和评分方法评估 SQI，其中非线性评分函数（Nonlinear Scoring Functions，简称 NLSF）加权索引法优于其他方法。TMD 森林表现出最高的 SQI，其次是 TWE 和 TSE，而 Rippon Pet RF（0.36 表层，0.28 对照）的 SQI 最低，主要是由于有机碳和粘粒含量有限。SOC 储量与 SQI 趋势一致（TMD＞TWE＞TSE），Kollegal RF（339.3 MG ha）的 SOC 储量最高，而 Rippon Pet RF（102.5 MG ha）的 SOC 储量最低。虽然 SOC 和 SQI 被确立为动态生态系统服务（Ecosystem Services，简称 ESs）的理想指标，但 Poomale NF 表层土壤中的高 OC 含量会导致土壤酸化和铝毒性，表明潜在的森林土壤退化。与对照剖面 SQI 和 SOC 呈显著相关（p＜0.05），强调监测亚表层土壤状况，以识别土壤退化、可持续林业实践以及森林系统中的复杂 ESs。