Spatial and statistical trend characteristics of rainfall erosivity (R) in upper catchment of Baram River, Borneo

Vijith, H.; Dodge-Wan, Dominique

doi:10.1007/s10661-019-7604-z

Cited by 11 publications

(2 citation statements)

References 68 publications

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“…Similar findings have also been revealed in other studies (Vijith and Dodge-Wan 2019;Chang et al, 2022;Johannsen et al, 2022), but the results of this study further display that due to the uneven seasonal distribution of precipitation, the RE has significant seasonal variation. Through semicovariance function, co-kriging interpolation, and crossvalidation, we corroborated the accuracy of RE, and the Frontiers in Environmental Science frontiersin.org results indicate that the accuracy of the co-kriging interpolation results meets the research requirements (Qi et al, 2020;Sharma et al, 2022).…”

Section: Discussionsupporting

confidence: 92%

Study on multidimensional changes of rainfall erosivity during 1970–2017 in the North–South Transition Zone, China

Zhu²,

Liu³

et al. 2022

Front. Environ. Sci.

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China is one of the world’s most seriously affected regions by water and soil erosion. Soil erosion is a major cause and an important component of land degradation, which has a negative impact on ecological protection and sustainable socioeconomic development. Rainfall erosivity (RE) is one of the key parameters to assess the degree of soil erosion. Quantifying the content of RE and the formation mechanism is important to accurately measure the degree of soil erosion and provide a theoretical basis for soil erosion management. Here, this study analyzed the spatial and temporal characteristics of RE and their driving mechanisms in the Qinba Mountains from 1970 to 2017 using a daily rainfall model. Furthermore, geographical detector methods were used to quantitatively identify the dominant factors affecting RE and the dominant factors affecting RE on different topographic reliefs. The results showed that the RE between 1970 and 2017 averaged 4,197.85 MJ mm hm−2 h−1 a−1, with a mutation coefficient of 0.16. The spatial distribution of RE is high in the southeast and low in the northwest, and the mean annual RE declines with the increase in latitude in longitude and increases with the reduction in longitude in latitude. In addition, precipitation and temperature are the main factors affecting the spatial distribution of RE. Among these, precipitation can explain about 97% of the RE and temperature can explain about 65% of the RE. These findings should be essential for managing soil and water loss in the North–South Transition Zone, China.

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Section: Discussionsupporting

confidence: 92%

Study on multidimensional changes of rainfall erosivity during 1970–2017 in the North–South Transition Zone, China

Zhu²,

Liu³

et al. 2022

Front. Environ. Sci.

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“…The upper Baram region is situated in the interior uplands of Borneo island, along the upper reaches of the Baram river. The tropical climate is characterised by a limited expression of seasonality, with a dryer period during the SW monsoon in May to September and a wetter period during the NE monsoon from November to March, mean annual precipitation of 3352 mm for Lio Mato [ 53 ] and an average temperature of 27.8 °C (derived from WorldClim.org v2 data for Long Banga [ 54 ]). The hilly area is covered by a mixed dipterocarp rainforest [ 55 ].…”

Section: Methodsmentioning

confidence: 99%

Indigenous farmers’ perceptions of problems in the rice field agroecosystems in the upper Baram, Malaysia

Hollaus

Schunko

Weißhaidinger³

et al. 2022

J Ethnobiology Ethnomedicine

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Background Rice field agroecosystems produce food for more than half of the world’s population and deliver important services supporting farmers’ livelihoods. However, traditional rice field agroecosystems are facing a variety of problems, including pests or markets that are hard to access. This research explored indigenous farmers’ perceptions of the problems, their causes and consequences, and the solutions applied to address them in the rice field agroecosystem. Furthermore, the study investigated how indigenous farmers related these problems to the surrounding landscape elements and to microzones in the fields. Methods Data were collected in two villages in the upper Baram, Sarawak using a qualitative approach that included sketch drawings and face-to-face interviews. Forty-three indigenous farmers of the Kenyah, Penan and Sa’ban ethnic groups were interviewed in their rice fields. The sketch drawings were used to identify the perceived landscape elements, while the oral interviews were employed to identify perceived microzones. Furthermore, the interviews elicited the perceived problems in the rice field agroecosystem and their relations to landscape elements and microzones. Results The findings identified a total of nine environmental problems, e.g. animal disturbance, six social problems, e.g. difficult to access farm inputs, and eight agricultural technology system problems, e.g. poor soil quality, with some found to be rooted in complex causes and affecting agricultural productivity. While some problems were perceived at field level, microzones were frequently used as sub-field indicators of the problems. The surrounding landscape elements were perceived as both a source of the problems and as a means of avoiding them. To solve the problems, farmers applied preventive and reactive strategies based on traditional knowledge and scientific knowledge, resulting in a hybridisation of knowledge systems. Conclusions By including environmental, social, agricultural technology system problems and different spatial scales, this research contributes to addressing issues that can be overlooked when focusing on only one dimension of the problems. These results contribute to a better understanding of how indigenous farmers perceive, cope with and adapt to problems in rice field agroecosystems, which is important for landscape management.

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Field testing study on the rainfall thresholds and prone areas of sandstone slope erosion at Mogao Grottoes, Dunhuang

Liu

Wang

Guo

2019

Environ Monit Assess

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Spatial and statistical trend characteristics of rainfall erosivity (R) in upper catchment of Baram River, Borneo

Cited by 11 publications

References 68 publications

Study on multidimensional changes of rainfall erosivity during 1970–2017 in the North–South Transition Zone, China

Study on multidimensional changes of rainfall erosivity during 1970–2017 in the North–South Transition Zone, China

Indigenous farmers’ perceptions of problems in the rice field agroecosystems in the upper Baram, Malaysia

Field testing study on the rainfall thresholds and prone areas of sandstone slope erosion at Mogao Grottoes, Dunhuang

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