Effect of density of Tephrosia candida stands on soil characteristics

2016 ◽  
Author(s):  
Zhiyang Lie ◽  
Zhuomin Wang ◽  
Li Xue
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Ph Value ◽  
Soil Nutrient ◽  
Stand Density ◽  
Nutrient Content ◽  
Total N ◽  
One Year ◽  
Tephrosia Candida ◽  
Total P

With one-year-old Tephrosia candida trees as experimental material, influence of stand density on soil nutrient content and enzyme activity was studied. The results showed that density had little influenced on pH value in 2, 4 and 8 trees m2 stands. The contents of soil organic matter, effective nitrogen and effective phosphorus significantly increased in 2 trees m2 stands. The contents of soil organic matter and effective nitrogen significantly increased, whereas total N, total P, total K, effective N, effective P and effective K significantly decreased in 4 trees/m2 stand. Soil organic matter and nutrients except for total P significantly decreased in 8 trees m2 stand. Among the three density stands, the activities of urease, catalase and phosphatase were the lowest in 8 trees m2 stand.

scholarly journals Effect of Stand Density and Soil Layer on Soil Nutrients of a 37-year-old Cunninghamia lanceolata Plantation in Naxi, Sichuan Province, China

2019 ◽  
Vol 11 (19) ◽  
pp. 5410 ◽  
Author(s):  
Jie Lei ◽  
Hailun Du ◽  
Aiguo Duan ◽  
Jianguo Zhang
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Soil Nutrient ◽  
Stand Density ◽  
Chinese Fir ◽  
Understory Vegetation ◽  
Cunninghamia Lanceolata ◽  
Available P ◽  
Low Density ◽  
Soil Layers

In order to study the characteristics of soil nutrient elements and the changes in biomass under different densities and soil layers of forest stand, this paper considers Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) density test forests with five densities (A: 1667 trees·ha−1; B: 3333 trees·ha−1; C: 5000 trees·ha−1; D: 6667 trees·ha−1; E: 10,000 trees·ha−1) as the research objects, located in Naxi District, Sichuan Province, China. Eleven soil physical and chemical property indicators, understory vegetation, and litter biomass were measured. The results were as follows: (1) The stand density had a significant effect on the soil nutrient content, understory vegetation, and litter biomass. A low density is conducive to the accumulation of soil organic matter, hydrolytic N, available P, available K, and total Ca. (2) With the increase in soil depth, the contents of soil organic matter, total N, hydrolytic N, and total P decreased gradually; pH and total Ca decreased gradually; and available P showed a trend of decrease-up-decrease. The soil layers had no significant effect on the total K, total Fe, and total Mg concentrations. (3) Low density (density A or B) was found to be beneficial to the growth of undergrowth vegetation and forest trees, the return of nutrients, long-term soil maintenance, and the stable high yield of Chinese fir plantations.

scholarly journals Changes of soil agrichemical characteristics in pastures influenced by mineral fertilizing

2011 ◽  
Vol 59 (1) ◽  
pp. 113-120 ◽  
Author(s):  
Stanislav Hejduk
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Ph Value ◽  
Nutrient Content ◽  
Soil Characteristics ◽  
Period Range ◽  
Organic C ◽  
Available Nutrients ◽  
K Concentration ◽  
Forage Yields

Grasslands fertilizing is used for increasing of forage yields and quality and simultaneously for soil fertility maintenance. The aim of this study was to evaluate the effect of mineral fertilizing on basic agrichemical soil characteristics (pH, available nutrients) and soil organic matter at grazing exploitation of grasslands. 60 kg N.ha−1 was applied in the year of experiment establishment and 90 kg N, 30 kg P a 90 kg K ha−1 in each of following four years. Significantly higher pH (+0.17), available P (+48.5%), K (+15.4%) and organic C (+8.8%) content was found at fertilized treatment. pH value varied significantly during experiment period (range 0.6) and correlated inversely with proportion of white clover in first cut (r = −0.499). Although available K in soil was only on satisfactory level (less than good), K concentration in the forage was even from unfertilized plots higher than physiological requirement of plants. Available nutrient content constitutes only small proportion of total nutrient content: 5.1% at P, 2.1% at K, 12.0% at Mg and 39.0% at Ca.

Analysis of Soil Nutrient Content Characteristic for Inductive Transformed Low-Quality Forest in Greater Higgnan Mountains

2011 ◽  
Vol 361-363 ◽  
pp. 1765-1771
Author(s):  
Hao Ji ◽  
Xi Bin Dong
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Organic Matter Content ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Potassium Content ◽  
Korean Pine ◽  
Forest Gap ◽  
Clear Cutting ◽  
Soil Nutrient Content

In This paper, the miscellaneous tree low-quality forest and Oak low-quality forest in the Greater Hinggan Mountains region were transformed inductively by planting Siberian Korean pine, Mongolica, and Larch, respectively. With the method of using different bandwidth and gap area, the soil nutrient characteristics were changed. The results indicated that the pH of soil increased slightly by different ways of induced transformation, but the variance was not significant (P﹤0.05). After reforming the induced soil organic matter content was balanced, while the basic content of hydrolysable nitrogen increased, and the availiable phosphorus decreased. Soil rapidly-available potassium content in Oak coppice was reduced but raised in the region of secondary performed miscellaneous wood. The variation coefficient of Siberia Korean pine was the largest with different soil pH value of various bandwidth and soil nutrient content (except for availiable phosphorus). Content of soil organic matter and hydrolysis nitrogen, phosphorus and potassium content are significantly positive correlated. At the same time, clear-cutting bandwidth and soil organic matter and hydrolysis nitrogen content are significantly negative correlated. During the transformation of forest gap in the sunny and shady slope, smaller area of forest gap owed the larger soil nutrient content. Generally, soil nutrient content in sunny slope is higher than the shady one.

scholarly journals Evaluating Calibration and Spectral Variable Selection Methods for Predicting Three Soil Nutrients Using Vis-NIR Spectroscopy

2021 ◽  
Vol 13 (19) ◽  
pp. 4000
Author(s):  
Peng Guo ◽  
Ting Li ◽  
Han Gao ◽  
Xiuwan Chen ◽  
Yifeng Cui ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Variable Selection ◽  
Soil Nutrients ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Support Vector ◽  
Selection Methods ◽  
Calibration Methods ◽  
Soil Nutrient Content

Soil nutrients, including soil available potassium (SAK), soil available phosphorous (SAP), and soil organic matter (SOM), play an important role in farmland soil productivity, food security, and agricultural management. Spectroscopic analysis has proven to be a rapid, nondestructive, and effective technique for predicting soil properties in general and potassium, phosphorous, and organic matter in particular. However, the successful estimation of soil nutrient content by visible and near-infrared (Vis-NIR) reflectance spectroscopy depends on proper calibration methods (including preprocessing transformation methods and multivariate methods for regression analysis) and the selection of appropriate variable selection techniques. In this study, raw spectrum and 13 preprocessing transformations combined with 2 variable selection methods (competitive adaptive reweighted sampling (CARS) and the successive projections algorithm (SPA)) and 2 regression algorithms (support vector machine (SVM) and partial least squares regression (PLSR)), for a total of 56 calibration methods, were investigated for modeling and predicting the above three soil nutrients using hyperspectral Vis-NIR data (400–2450 nm). The results show that first-order derivatives based on logarithmic and inverse transformations (FD-LGRs) can provide better predictions of soil available potassium and phosphorous, and the best form of soil organic matter transformation is SG+MSC. CARS was superior to the SPA in selecting effective variables, and the PLSR model outperformed the SVM models. The best estimation accuracies (R2, RMSE) for soil available potassium, phosphorous, and organic matter were 0.7532, 32.3090 mg/kg; 0.7440, 6.6910 mg/kg; and 0.9009, 3.2103 g/kg, respectively, and their corresponding calibration methods were (FD-LGR)/SPA/PLSR, (FD-LGR)/SPA/PLSR, and SG+MSC/CARS/SVM, respectively. Overall, for the prediction of the soil nutrient content, organic matter was superior to available phosphorous, followed by available potassium. It was concluded that the application of hyperspectral images (Vis-NIR data) was an efficient method for mapping and monitoring soil nutrients at the regional scale, thus contributing to the development of precision agriculture.

scholarly journals Assessment of Potato Farmland Soil Nutrient Based on MDS-SQI Model in the Loess Plateau

2021 ◽  
Vol 13 (7) ◽  
pp. 3957
Author(s):  
Yingying Xing ◽  
Ning Wang ◽  
Xiaoli Niu ◽  
Wenting Jiang ◽  
Xiukang Wang
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Soil Fertility ◽  
Soil Quality ◽  
Soil Nutrients ◽  
Organic Matter Content ◽  
Soil Nutrient ◽  
Matter Content ◽  
Soil Organic Matter Content ◽  
Farmland Soil

Soil nutrients are essential nutrients provided by soil for plant growth. Most researchers focus on the coupling effect of nutrients with potato yield and quality. There are few studies on the evaluation of soil nutrients in potato fields. The purpose of this study is to investigate the soil nutrients of potato farmland and the soil vertical nutrient distributions, and then to provide a theoretical and experimental basis for the fertilizer management practices for potatoes in Loess Plateau. Eight physical and chemical soil indexes were selected in the study area, and 810 farmland soil samples from the potato agriculture product areas were analyzed in Northern Shaanxi. The paper established the minimum data set (MDS) for the quality diagnosis of the cultivated layer for farmland by principal component analysis (PCA), respectively, and furthermore, analyzed the soil nutrient characteristics of the cultivated layer adopted soil quality index (SQI). The results showed that the MDS on soil quality diagnosis of the cultivated layer for farmland soil included such indicators as the soil organic matter content, soil available potassium content, and soil available phosphorus content. The comprehensive index value of the soil quality was between 0.064 and 0.302. The SPSS average clustering process used to classify SQI was divided into three grades: class I (36.2%) was defined as suitable soil fertility (SQI < 0.122), class II (55.6%) was defined as moderate soil fertility (0.122 < SQI < 0.18), and class III (8.2%) was defined as poor soil fertility (SQI > 0.186). The comprehensive quality of the potato farmland soils was generally low. The proportion of soil nutrients in the SQI composition ranged from large to small as the soil available potassium content = soil available phosphorus content > soil organic matter content, which became the limiting factor of the soil organic matter content in this area. This study revolves around the 0 to 60 cm soil layer; the soil fertility decreased gradually with the soil depth, and had significant differences between the respective soil layers. In order to improve the soil nutrient accumulation and potato yield in potato farmland in northern Shaanxi, it is suggested to increase the fertilization depth (20 to 40 cm) and further study the ratio of nitrogen, phosphorus, and potassium fertilizer.

scholarly journals Biotic and Abiotic Determinants of Soil Organic Matter Stock and Fine Root Biomass in Mountain Area Temperate Forests—Examples from Cambisols under European Beech, Norway Spruce and Silver Fir (Carpathians, Central Europe)

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 823
Author(s):  
Anna Zielonka ◽  
Marek Drewnik ◽  
Łukasz Musielok ◽  
Marcin K. Dyderski ◽  
Dariusz Struzik ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Norway Spruce ◽  
Root Biomass ◽  
Fine Root ◽  
Stand Density ◽  
European Beech ◽  
Fine Root Biomass ◽  
Silver Fir ◽  
Beech Forests

Forest ecosystems significantly contribute to the global organic carbon (OC) pool, exhibiting high spatial heterogeneity in this respect. Some of the components of the OC pool in a forest (woody aboveground biomass (wAGB), coarse root biomass (CRB)) can be relatively easily estimated using readily available data from land observation and forest inventories, while some of the components of the OC pool are very difficult to determine (fine root biomass (FRB) and soil organic matter (SOM) stock). The main objectives of our study were to: (1) estimate the SOM stock; (2) estimate FRB; and (3) assess the relationship between both biotic (wAGB, forest age, foliage, stand density) and abiotic factors (climatic conditions, relief, soil properties) and SOM stocks and FRB in temperate forests in the Western Carpathians consisting of European beech, Norway spruce, and silver fir (32 forest inventory plots in total). We uncovered the highest wAGB in beech forests and highest SOM stocks under beech forest. FRB was the highest under fir forest. We noted a considerable impact of stand density on SOM stocks, particularly in beech and spruce forests. FRB content was mostly impacted by stand density only in beech forests without any discernible effects on other forest characteristics. We discovered significant impacts of relief-dependent factors and SOM stocks at all the studied sites. Our biomass and carbon models informed by more detailed environmental data led to reduce the uncertainty in over- and underestimation in Cambisols under beech, spruce, and fir forests for mountain temperate forest carbon pools.

scholarly journals Effects of Planting Density on Soil Bulk Density, pH and Nutrients of Unthinned Chinese Fir Mature Stands in South Subtropical Region of China

Forests ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 351
Author(s):  
Aiguo Duan ◽  
Jie Lei ◽  
Xiaoyan Hu ◽  
Jianguo Zhang ◽  
Hailun Du ◽  
...  
Keyword(s):  
Organic Matter ◽  
Bulk Density ◽  
Soil Depth ◽  
Soil Nutrient ◽  
Chinese Fir ◽  
Planting Density ◽  
Total N ◽  
Nutrient Contents ◽  
Exchangeable Ca ◽  
Soil Nutrient Contents

Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) is a fast-growing evergreen conifer with high-quality timber and is an important reforestation and commercial tree species in southern China. Planting density affects the productivity of Chinese fir plantations. To study the effect of five different planting densities and soil depth on soil nutrient contents of a mature C. lanceolata plantation, the soil nutrient contents (soil depths 0–100 cm) of 36-year-old mature Chinese fir plantations under five different planting densities denoted A (1667 trees·ha−1), B (3333 trees·ha−1), C (5000 trees·ha−1), D (6667 trees·ha−1), and E (10,000 trees·ha−1) were measured in Pingxiang county, Guangxi province, China. Samples were collected from the soil surface down to a one meter depth from each of 45 soil profiles, and soil samples were obtained at 10 different soil depths of 0–10, 10–20, 20–30, 30–40, 40–50, 50–60, 60–70, 70–80, 80–90, and 90–100 cm. Twelve soil physical and chemical indicators were analyzed. The results showed that: (1) as planting density increased, the organic matter, organic carbon, total N and P, available N, effective Fe, and bulk density decreased. Soil pH, total K, and effective K increased with increasing planting density. Planting density did not significantly influence the exchangeable Ca and Mg. (2) Soil organic matter; organic carbon; total N and P; effective N, P, and K; exchangeable Ca and Mg; effective Fe content; and bulk density decreased with increasing soil depth. This pattern was particularly evident in the top 30 cm of the soil. (3) Excessively high planting density is not beneficial to the long-term maintenance of soil fertility in Chinese fir plantations, and the planting density of Chinese fir plantations should be maintained below 3333 stems·ha−1 (density A or B) to maintain soil fertility while ensuring high yields.

The effect of genotype on biomass and nutrient content in 11-year-old loblolly pine plantations

1979 ◽  
Vol 9 (2) ◽  
pp. 224-230 ◽  
Author(s):  
P. E. Pope
Keyword(s):  
Loblolly Pine ◽  
Plant Biomass ◽  
Soil Nutrient ◽  
Dry Weight ◽  
Nutrient Content ◽  
Seed Source ◽  
Elemental Content ◽  
Total N ◽  
Seed Sources ◽  
Hilly Region

Dry weights and nutrient contents of all aboveground biomass components were estimated for four seed sources of 11-year-old loblolly pine (Pinustaeda L.) grown in plantations of the same spacing on an old-field site of high quality in the hilly region of north-central Arkansas, U.S.A. Soil nutrient content was estimated to a depth of 0.61 m. Stand data averaged over all seeds sources are in agreement with published reports for dry weight and nutrient accumulation for loblolly pine if differences associated with seasonal variation are considered. Seed source significantly affected total dry matter and nutrient accumulations. Estimated total aboveground mean annual accumulation of biomass for the four seed sources ranged from 5.99 × 103 to 11.17 × 103 kg/ha per year. Elemental accumulation (kilograms per hectare per year) ranged from 14.06 to 23.66 for N, 1.54 to 3.45 for P, and 6.96 to 18.43 for K. On the average, trees comprise 84% of the aboveground plant biomass and contain 76% of the N, 77% of the P, and 90%, of the K associated with plant tissue. The significant influence of seed source on these stand values can affect the potential impact of short rotation, total tree harvesting on long-term site productivity. The elemental content of the tree biomass ranged from 7 to 11% of the total N, 20 to 35% of the P, and 14 to 30% of the K in the soil–litter–plant system.

Soil organic carbon fractions in a Vertisol under irrigated cotton production as affected by burning and incorporating cotton stubble

Soil Research ◽  
1998 ◽  
Vol 36 (4) ◽  
pp. 655 ◽  
Author(s):  
A. Conteh ◽  
G. J. Blair ◽  
I. J. Rochester
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Organic Matter Content ◽  
Matter Content ◽  
Total Carbon ◽  
Cotton Production ◽  
Labile Carbon ◽  
Total N ◽  
The Difference ◽  
Organic Matter Fractions

The contribution of cotton stubble to the soil organic matter content of Vertisols under cotton production is not well understood. A 3-year experiment was conducted at the Australian Cotton Research Institute to study the effects of burning and incorporating cotton stubble on the recovery of fertiliser nitrogen (N), lint yield, and organic matter levels. This study reports on the changes in soil organic matter fractions as affected by burning and incorporating cotton stubble into the soil. Soil samples collected at the start and end of the 3-year experiment were analysed for total carbon (CT), total N (NT), and δ13C (a measure of 13C/12C isotopic ratios). Labile carbon (CL) was determined by ease of oxidation and non-labile carbon (CNL) was calculated as the difference between CT and CL. Based on the changes in CT, CL, and CNL, a carbon management index (CMI) was calculated. Further analyses were made for total polysaccharides (PT), labile polysaccharides (PL), and light fraction C (LF-C). Stubble management did not significantly affect the NT content of the soil. After 3 years, the stubble-incorporated plots had a significantly higher content of CT, CL, and polysaccharides. Incorporation of stubble into the soil increased the CMI by 41%, whereas burning decreased the CMI by 6%. The amount of LF-C obtained after 3 years in the stubble-incorporated soil was almost double that obtained in the stubble-burnt soil. It was concluded that for sustainable management of soil organic matter in the Vertisols used for cotton production, stubble produced in the system should be incorporated instead of burnt.

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