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Soil mapping and delineation of management zones in the Western Ghats of coastal India

机译:沿海印度西龙村的土壤映射与管理区的描绘

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The pace of land degradation has almost doubled across the Western Ghats of India, one of the world's 'hotspots' for biodiversity, owing to soil erosion, mining, and rampant urbanization. The arising nutrient depletion leading to land degradation is thus a serious threat to agricultural sustainability in this region. Delineation of spatial soil property maps for nutrient management is an effective strategy for precision agriculture. The present investigation was carried out in North Goa District in Western Ghats, a seldom researched domain in the Indian coastal region. The study involved spatial array analysis of soil properties of 383 georeferenced soil samples and used fuzzy k- means clustering for delineation of management zones (MZs). Soils were found highly acidic with low available N, P, and medium exchangeable K with a widespread Zn, Cu, and Fe deficiency and sporadic salinity. Soil properties exhibited low to high levels of skewness except for soil pH and Mn. Correlations between soil pH and K, Zn, and Mn, between EC and Fe, between soil organic carbon (SOC) and N, P, K, Cu, and Mn was positive and significant (P = 0.01). Geostatistical analysis revealed varied distribution pattern for soil properties with Gaussian (pH, P, and Cu), spherical (EC), stable (SOC), hole effect (N), K- Bessel (K and Fe), exponential (Zn), and circular (Mn) as best fit semivariogram models with weak and strong spatial dependence. The spatial variability was mapped, and two MZs were delineated. The developed maps will be crucial in site- specific nutrient management for agricultural and ecological sustainability in the Western Ghats of India.
机译:土地退化的步伐几乎翻了一番,在印度的西部笨蛋中,世界的“热点”为生物多样性之一,由于土壤侵蚀,采矿和猖獗的城市化。导致导致土地退化的营养消耗是对该地区的农业可持续性的严重威胁。营养管理空间土质地图描绘是精密农业的有效策略。本调查在印度沿海地区很少有人研究领域的北戈纳北果阿区进行。该研究涉及383个地理化土壤样品的土壤性质的空间阵列分析,并使用模糊K-表示划分管理区(MZS)的划分。用广泛的Zn,Cu和Fe缺乏和散发性,发现土壤具有低可用的N,P和中等更换k。除了土壤pH和Mn之外,土壤性质表现出低至高水平的偏振。土壤pH和k,Zn和Mn之间的相关性,在土壤有机碳(SoC)和N,P,K,Cu和Mn之间的EC和Fe之间是阳性的,显着的(p = 0.01)。地统计分析显示了高斯(pH,P和Cu),球形(EC),稳定(SoC),孔效应(N),K-Bessel(K和Fe),指数(Zn)的土壤性质的各种分布模式和圆形(Mn)作为具有弱和强度空间依赖性的最佳拟合半造型仪模型。映射了空间变异性,划定了两种MZ。发达地图对印度西戈斯省Ghats的农业和生态可持续性的特定现场特定营养管理至关重要。

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