黄河流域ML河段土壤C、N、P和NFV理化性质的多尺度景观指标表现

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators Pub Date : 2025-03-28 DOI:10.1016/j.ecolind.2025.113391

Chenhui Wei, Kaili Chen, Zhan Yang, Siqi Yao, Chen He, Lin Zhang

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引用次数: 0

摘要

景观指标是生态功能的重要指标。然而，关于景观指标与土壤生态功能之间关系的研究数据有限。本研究以黄河中下游99个国家级林村为研究对象，在FRAGSTATS中计算了10个度的圆形区域的景观指标。采用单因素方差分析比较了中下游土壤碳(C)、氮(N)、磷(P)、理化性质和景观指标的差异。采用偏相关模型、线性混合模型、线性混合效应模型和阈值模型等方法，探讨了14个森林景观指标作为10个土壤参数的多尺度表现。结果表明：中游NFVs土壤碳氮含量较高，理化性质较好，但土壤磷含量较下游低；中下游景观格局差异较大。在阈值前，土壤C和N分别与斑块数和形状指标呈正相关。在阈值前后，土壤磷和理化性质与森林面积指标呈负相关。景观指标与土壤参数的相关性在公里尺度上存在差异。研究结果表明，国家林村土壤特征与森林景观格局具有关联性，景观调节可以改善森林土壤C、N及其理化性质。这项研究的见解对于为旨在加强碳固存、减缓气候变化和保持土壤肥力的土地管理决策提供信息至关重要。最终，该研究为其他流域和景观提供了参考，未来的研究应考虑更大公里尺度的人类活动来预测土壤性质。

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Performance of multiscale landscape metrics as indicators of soil C, N, P, and physicochemical properties of NFV in ML reaches of Yellow River Basin, China

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Performance of multiscale landscape metrics as indicators of soil C, N, P, and physicochemical properties of NFV in ML reaches of Yellow River Basin, China

Landscape metrics are significant indicators of ecological functions. However, limited data are available regarding the relationship between landscape metrics and soil ecological functions. In this study, using 99 National Forest Villages (NFVs) in the middle and lower reaches of the Yellow River Basin as study objects, landscape metrics were computed for circular areas of ten extents in FRAGSTATS. Differences in soil carbon (C), nitrogen (N), phosphorus (P), physicochemical properties, and landscape metrics between the middle and lower reaches were compared using a one-way ANOVA. Multiscale performance of 14 forest landscape metrics as indicators of 10 soil parameters was explored using several methods: partial correlation, linear mixed model, linear mixed-effects model, and threshold model. The results showed that NFVs in the middle reaches had higher soil C and N and better physicochemical properties, but lower soil P than the lower reaches. The landscape pattern showed large variations between the middle and lower reaches. Soil C and N were positively correlated with patch number and shape metrics, respectively, before the threshold. Soil P and physicochemical properties were negatively correlated with forest area metrics before and after the threshold. The correlation between landscape metrics and soil parameters depended on kilometer scale. Our findings highlight that soil characteristics and forest landscape patterns of National Forest Villages are linked, and landscape regulation can improve forest soil C and N, as well as the physicochemical properties. The insights from this study are vital for informing land management decisions aimed at enhancing carbon sequestration, mitigating climate change, and maintaining soil fertility. Ultimately, this research provides a reference for other river basins and landscapes, and future research should consider human activities at larger kilometer scales to predict soil properties.

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来源期刊

Ecological Indicators 环境科学-环境科学

CiteScore

11.80

自引率

8.70%

发文量

1163

审稿时长

78 days

期刊介绍： The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.