Variations of forest soil organic carbon and its influencing factors in east China

Liu, Yan; Li, Suyan; Sun, Xiangyang; Yu, Xuan

doi:10.1007/s13595-016-0543-8

Cited by 34 publications

(17 citation statements)

References 34 publications

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“…On the other hand in subtropical and tropical zones, soils are generally sandy, compact with low organic matter, and bulk density is high. Liu et al (2016) reported soil bulk density in cold temperate forests of north-eastern China as 1.3 g/cm 3 which is slightly higher than our estimates (0.85-0.95 g/cm 3 ). This is possibly due to the fact that soil samples were taken from greater depths, i.e., 40 cm compared to our sampling depth of 30 cm.…”

Section: Discussioncontrasting

confidence: 92%

“…For estimation of soil carbon in forests, 0-30 cm depth is considered sufficient as it contains about half the soil carbon present in the upper 100 cm (IPCC 2003). Liu et al (2016) also estimated bulk density for subtropical broad-leaved forests in south-eastern China as 1.28 g/cm 3 which is closer to our estimate of 1.45 g/cm 3 . Our estimates for oak and subtropical pine forests are closer to Shrestha and Devkota (2004) who reported mean bulk densities in oak and pine forests of Nepal as 0.64-0.75 g/cm 3 and 1-1.13 g/ cm 3 , respectively.…”

Section: Discussionsupporting

confidence: 85%

“…The estimates of soil organic carbon in this study for moist temperate forests (68.5 t/ha) is closer to the IPCC (2003) estimate of 71.0 t/ha for mountain temperate forests, and to the 70.0-162.0 t/ha in temperate forests of India (Chabhra et al 2003). [Liu et al (2016) reported soil carbon levels of 81.9 t/ha for cold temperate forests of north-eastern China which is higher than our estimate. This is probably due to the fact that they have taken samples from greater depth i.e.…”

Section: Discussionsupporting

confidence: 78%

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Estimation of soil carbon pools in the forests of Khyber Pakhtunkhwa Province, Pakistan

Ali¹,

Ashraf

Gulzar

et al. 2019

J. For. Res.

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carbon pool. The lowest carbon stock (0.1%) was found in dry-tropical thorn forests. The highest soil carbon density was found in subalpine forests (69.5 ± 7.2 t/ha) followed by moist temperate forests (68.5 ± 6.7 t/ha) and dry temperate forests (60.7 ± 6.5 t/ha). Oak forests have carbon density of 43.4 ± 7.1 t/ha. Subtropical pine, subtropical broad-leaved and dry tropical thorn forests have soil carbon densities of 36.3 ± 3.7, 32.8 ± 6.2 and 31.5 ± 3.5 t/ha, respectively. The forests of the Khyber Pakhtunkhwa province have substantial amounts of soil carbon which must be conserved for climate change mitigation and maintenance of sound forest health.

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Section: Discussioncontrasting

confidence: 92%

Section: Discussionsupporting

confidence: 85%

Section: Discussionsupporting

confidence: 78%

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Estimation of soil carbon pools in the forests of Khyber Pakhtunkhwa Province, Pakistan

Ali¹,

Ashraf

Gulzar

et al. 2019

J. For. Res.

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“…The heterogeneity affects carbon input and carbon losses resulting in difference in carbon content along topographic gradients (9). The amount of SOC is affected by various factors such as topographical factors(10) and climatic factors (2,11). Ecosystem attributes affecting soil carbon dynamics along elevation gradients are usually the product of the long-term interactions between climate, vegetation, and soil type (12).…”

Section: Introductionmentioning

confidence: 99%

Modeling soil organic carbon as a function of topography and forest characteristics

Malla

Neupane

Köhl

2020

Preprint

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BackgroundThe soil organic carbon (SOC), an important carbon pool among the five forest carbon pools, plays a crucial role in global carbon cycling. However, it is affected by various factors like topography and climate. Some studies conducted for smaller areas have shown a dependence of the SOC on altitude, but do not allow a general statement for larger regions. Nepal, which has the world's most dynamic terrain elevation, is ideally suited for studying the dependence of the SOC on altitude. ResultsWe found a significant correlation between SOC and altitude (r=0.81). In our study, altitude alone can explain about 66 percent of the variability of the SOC. On the basis of our data, we developed a model which, with altitude as the only independent variable, can predict around 61 percent of the SOC. ConclusionsOnly altitude has been found to be a sound predictor of SOC at the national level. Other factors with potential impacts on SOC predictors such as crown cover, slope or basal area have only a minor contribution to the improvement of prediction accuracy of the model.

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“…As several authors recently demonstrated, the inclusion of intensive agricultural activities and pastures [18,19], as well as wildfires [20] are enhancing land use changes and modifying the physicochemical properties of soil. Also, forestry areas are suffering from soil degradation affecting soil organic carbon stores and biodiversity [21][22][23]. However, there is a lack of information about the spatial distribution of soil degradation at the regional and sub-regional scales [24].Knowing the soil micronutrient content is important for elaborating correct and suitable land management plans [25,26], which are often not performed due to sampling costs and laboratory analysis [27].…”

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confidence: 99%

Determining Land Management Zones Using Pedo-Geomorphological Factors in Potential Degraded Regions to Achieve Land Degradation Neutrality

Keshavarzi

Kumar

Bottega

et al. 2019

Land

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The proper delineation of site-specific management zones is very important in the agricultural land management of potentially degraded areas. There is a necessity for the development of prospective tools in management plans to correctly understand the land degradation processes. In order to accomplish this, we present a pedo-geomorphological approach using soil texture, land elevation and flow vector aspects to distinguish different management zones and to discretize soil micronutrients. To achieve this goal, we conducted the study in the Neyshabur plain, Northeast Iran. For data collection, grid sampling (500 × 500 m) was used with 70 specific points. Soil samples were collected in triplicates from various sites as composite samples (0-30 cm) to analyse clay, Zn, Mn, Cu and Fe. Using the altitude information (obtained with GPS at each sampling point), flow vectors were also modelled for all selected points. Based on the values of altitude, flow vectors and clay, management zones were delimited using geographic information systems. The best data organization was obtained from the combination of clay + elevation + flow vector attributes, generating two different management zones. In this circumstance, the lowest fuzzy performance index (FPI) and modified partition entropy (MPE) values were generated. It can be observed that the management zone 1 (MZ1) is located in the areas with a lower elevation and higher content of clay. On the other hand, the MZ2 was characterized by areas with a higher elevation and lower clay content. This study concluded that the design of management zones, using pedo-geomorphological information could reduce the time and cost of sampling necessary to assess potentially degraded areas of land. reforestation or geotextiles are also successfully applied. However [10,11], the drastic decline in yield or wood production and the increase in soil degradation processes can also be attributed to the intensification of its cultivation or exploitation, as well as the imbalance in soil nutrient management and physical properties [12,13].It is unusual to assess soil degradation or delimitate land management zones via clay, Zn, Mn, Cu and Fe. However, recent research conducted by [14] in India demonstrated that micronutrient deficiency in intensively cultivated regions may be associated with a low organic availability and excessive reliance on chemical fertilizers. In Northern Greece, [15] assessed Fe, Mn, Zn and Cu bioavailability their correlation with foliar micronutrient concentrations in mature organic olive orchards, highlighting the key role of organic matter to sustain metal uptake by olive trees. However, it is not common to see clear examples showing how these data on micronutrients can be a basis for a land management planning tool to achieve land degradation neutrality. Usually, other robust indicators such as cation exchange capacity, base saturation, the content of soil organic matter, but in several cases, only a few data about soil chemical properties such as micronutrients are analysed...

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Variations of forest soil organic carbon and its influencing factors in east China

Cited by 34 publications

References 34 publications

Estimation of soil carbon pools in the forests of Khyber Pakhtunkhwa Province, Pakistan

Estimation of soil carbon pools in the forests of Khyber Pakhtunkhwa Province, Pakistan

Modeling soil organic carbon as a function of topography and forest characteristics

Determining Land Management Zones Using Pedo-Geomorphological Factors in Potential Degraded Regions to Achieve Land Degradation Neutrality

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