Soil fertility affected by land use history, relief position, and parent material under a tropical climate in NW-Vietnam

Clemens, Gerhard; Fiedler, Sabine; Cong, Nguyen Dinh; Dung, Nyuyen Van; Schuler, Ulrich S.; Stahr, Karl

doi:10.1016/j.catena.2010.01.006

Cited by 56 publications

(48 citation statements)

References 10 publications

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“…The difference of soil fertility is also caused by regional variation. Local climate, soil-forming conditions, and the way and extent of anthropogenic intervention are different from one region to another (Clemens et al, 2010). Thus, soil fertility in one region for MRD might be greater than that in another region for LRD.…”

Section: Discordance Between Soil Fertility Level and Rd Grade In Sommentioning

confidence: 99%

Evaluation of soil fertility in the succession of karst rocky desertification using principal component analysis

et al. 2015

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Abstract. Expanding of karst rocky desertification (RD) area in southwestern China is strangling the sustainable development of local agricultural economy. It is important to evaluate the soil fertility at RD regions for the sustainable management of karst lands. The changes in 19 different soil fertilityrelated variables along a gradient of karst rocky desertification were investigated in five different counties belonging to the central Hunan province in China. We used principal component analysis method to calculate the soil data matrix and obtained a standardized integrate soil fertility (ISF) indicator to reflect RD grades. The results showed that the succession of RD had different impacts on soil fertility indicators. The changing trend of total organic carbon (TOC), total nitrogen (TN), available phosphorus, microbial biomass carbon (MBC), and microbial biomass nitrogen (MBN) was potential RD (PRD) > light RD (LRD) > moderate RD (MRD) > intensive RD (IRD), whereas the changing trend of other indicators was not entirely consistent with the succession of RD. The degradation trend of ISF was basically parallel to the aggravation of RD, and the strength of ISF mean values were in the order of PRD > LRD > MRD > IRD. The TOC, MBC, and MBN could be regarded as the key indicators to evaluate the soil fertility.

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Section: Discordance Between Soil Fertility Level and Rd Grade In Sommentioning

confidence: 99%

Evaluation of soil fertility in the succession of karst rocky desertification using principal component analysis

et al. 2015

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“…In this study, the participatory assessment approach was able to confirm or pinpoint the facts observed by farmers in the field more quickly than if analysed as part of a research study, providing the fundamental background information necessary for the layout for detailed studies of soil degradation and crop yield response (e.g., Boll et al 2008). Taken as a whole, the presented study falls in line with attempts to incorporate participatory approaches into various forms of environmental assessment approaches (e.g., Clemens et al 2010). The limitations of such an approach lie in the nature of the expert's knowledge boundaries in terms of space and time, such as the village area.…”

Section: Participatory Assessment Approachesmentioning

confidence: 59%

“…Farmers were also asked to score erosion severity for the selected land use systems, with a score of (1) referring to soil erosion patterns not influencing crop yields, a score of (2) determining erosion fluxes obvious during most rainfall events, with an observable crop yield reduction, and a score of (3) representing frequent soil erosion events with substantial soil and yield losses. Comparing the presented results with the findings of Clemens et al (2010), who carried out a detailed geomorphological study in Chieng Khoi commune, underscored the importance of topsoil color as an indicator of a soil's crop suitability. For example, black soils were found to be the preferred type due to their higher total N or total C contents than red or yellow soils (Table 7.6).…”

Section: Land Use Classification Systemsmentioning

confidence: 70%

Soil Conservation on Sloping Land: Technical Options and Adoption Constraints

Hilger

Keil

Lippe

et al. 2012

Sustainable Land Use and Rural Development in Southeast Asia: Innovations and Policies for Mountainous Areas

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“…Average annual precipitation is around 1200 mm; average annual temperature is 21 • C. The occurrence of typhoons is not uncommon especially at the end of the rainy season, and daily rainfall amounts can rise to 200 mm. The largest storm during the 2 years of this study was on 12 July 2011 and consisted of 73 mm of rainfall in 3 h. The dominant soils are Alisols and Luvisols (Clemens et al, 2010). The landscape has an altitudinal range between 320 and 1600 m a.s.l.…”

Section: Discharge and Sediment Concentrationmentioning

confidence: 99%

Quantifying uncertainty on sediment loads using bootstrap confidence intervals

Slaets

Piepho

Schmitter

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Load estimates are more informative than constituent concentrations alone, as they allow quantification of on-and off-site impacts of environmental processes concerning pollutants, nutrients and sediment, such as soil fertility loss, reservoir sedimentation and irrigation channel siltation. While statistical models used to predict constituent concentrations have been developed considerably over the last few years, measures of uncertainty on constituent loads are rarely reported. Loads are the product of two predictions, constituent concentration and discharge, integrated over a time period, which does not make it straightforward to produce a standard error or a confidence interval. In this paper, a linear mixed model is used to estimate sediment concentrations. A bootstrap method is then developed that accounts for the uncertainty in the concentration and discharge predictions, allowing temporal correlation in the constituent data, and can be used when data transformations are required. The method was tested for a small watershed in Northwest Vietnam for the period 2010-2011. The results showed that confidence intervals were asymmetric, with the highest uncertainty in the upper limit, and that a load of 6262 Mg year −1 had a 95 % confidence interval of (4331, 12 267) in 2010 and a load of 5543 Mg an interval of (3593, 8975) in 2011. Additionally, the approach demonstrated that direct estimates from the data were biased downwards compared to bootstrap median estimates. These results imply that constituent loads predicted from regression-type water quality models could frequently be underestimating sediment yields and their environmental impact.

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Soil fertility affected by land use history, relief position, and parent material under a tropical climate in NW-Vietnam

Cited by 56 publications

References 10 publications

Evaluation of soil fertility in the succession of karst rocky desertification using principal component analysis

Evaluation of soil fertility in the succession of karst rocky desertification using principal component analysis

Soil Conservation on Sloping Land: Technical Options and Adoption Constraints

Quantifying uncertainty on sediment loads using bootstrap confidence intervals

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