Soil quality evaluation and limiting factor analysis in different microtopographies of hilly and gully region based on minimum data set

IF 5.7 1区农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Catena Pub Date : 2025-03-24 DOI:10.1016/j.catena.2025.108973

Linfu Liu , Fucang Qin , Yan Sheng , Long Li , Xiaoyu Dong , Shangxuan Zhang , Conglin Shen

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引用次数: 0

Abstract

Assessing soil quality across different microtopographies in hilly and gully regions is essential for enhancing the ecological environment, guiding plantation cultivation, and promoting sustainable development. In this study, soil quality was evaluated across six microtopographies based on 18 physical and chemical indicators. A minimum data set (MDS) was constructed using principal component analysis (PCA), and soil quality indices (SQI) were calculated for both the total data set (TDS) and MDS through membership function (MF), linear (S_L), and nonlinear scoring (S_NL) methods. The results indicate that the MDS for the soil quality evaluation of Caragana korshinskii plantation in the hilly and gully region is composed of moisture content (MC), total phosphorus (TP), total potassium (TK), pH and available nitrogen (AN), which can explain 74.801% of the information of TDS. The SQI calculated by the six methods are all extremely significantly correlated. In MDS, S_NL performs the best and is the closest to the calculation result of TDS. Soil quality varied significantly across microtopographies, with Gently sloped terrace exhibiting the highest quality and Gully the lowest, reflecting the strong influence of microtopography on soil properties and nutrient distribution. Total phosphorus (TP) was identified as the primary limiting factor, particularly in collapsed terrain. These findings not only provide a theoretical foundation and practical parameters for soil quality assessment in hilly and gully regions but also offer valuable insights for similar ecosystems globally, particularly in arid and semi-arid areas facing soil degradation and vegetation restoration challenges.

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基于最小数据集的丘陵沟壑区不同微地形土壤质量评价及限制因子分析

丘陵沟壑区不同微地形土壤质量评价对于改善生态环境、指导种植、促进可持续发展具有重要意义。在这项研究中，基于18个物理和化学指标，对6个微地形的土壤质量进行了评估。采用主成分分析（PCA）构建最小数据集（MDS），并通过隶属度函数（MF）、线性（SL）和非线性评分（SNL）方法计算总数据集（TDS）和最小数据集（MDS）的土壤质量指数（SQI）。结果表明：丘陵沟壑区柠条人工林土壤质量评价的MDS由水分含量（MC）、全磷（TP）、全钾（TK）、pH和速效氮（AN）组成，可解释TDS信息的74.801%；六种方法计算的SQI均呈极显著相关。在MDS中，SNL表现最好，最接近TDS的计算结果。不同微地形土壤质量差异显著，缓坡梯田土壤质量最高，沟壑土壤质量最低，反映了微地形对土壤性质和养分分布的强烈影响。总磷（TP）被确定为主要的限制因素，特别是在塌陷地形中。这些发现不仅为丘陵沟壑区土壤质量评价提供了理论基础和实践参数，而且为全球类似生态系统，特别是面临土壤退化和植被恢复挑战的干旱半干旱地区提供了有价值的见解。

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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来源期刊

Catena 环境科学-地球科学综合

CiteScore

10.50

自引率

9.70%

发文量

816

审稿时长

54 days

期刊介绍： Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.