Evaluation of Long-Term SOC and Crop Productivity within Conservation Systems Using GFDL CM2.1 and EPIC

Le, Kieu Ngoc; Jha, M. K.; Jeong, Jaehak; Gassman, Philip W.; Reyes, Manuel R.; Doro, Luca; Tran, Dinh Dac; Hok, Lyda

doi:10.3390/su10082665

Cited by 9 publications

(3 citation statements)

References 51 publications

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“…Previous studies revealed that rice demand is rising by~1.8% per year [3,5]. It is challenging to increase rice production with limited land and water resources [5,6], especially under the conditions of extreme floods and weather driven by climate change [7][8][9][10]. The Mekong Delta is vulnerable to water regime changes and seawater intrusion [11,12].…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Mapping of Rice Cropping Pattern in Flooding Area in the Vietnamese Mekong Delta Using Sentinel-1A Data: A Case of An Giang Province

Minh

Avtar

Mohan

et al. 2019

IJGI

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Cropping intensity is one of the most important decisions made independently by farmers in Vietnam. It is a crucial variable of various economic and process-based models. Rice is grown under irrigated triple- and double-rice cropping systems and a rainfed single-rice cropping system in the Vietnamese Mekong Delta (VMD). These rice cropping systems are adopted according to the geographical location and water infrastructure. However, little work has been done to map triple-cropping of rice using Sentinel-1 along with the effects of water infrastructure on the rice cropping intensity decision. This study is focused on monitoring rice cropping patterns in the An Giang province of the VMD from March 2017 to March 2018. The fieldwork was carried out on the dates close to the Sentinel-1A acquisition. The results of dual-polarized (VV and VH) Sentinel-1A data show a strong correlation with the spatial patterns of various rice growth stages and their association with the water infrastructure. The VH backscatter (σ°) is strongly correlated with the three rice growth stages, especially the reproductive stage when the backscatter is less affected by soil moisture and water in the rice fields. In all three cropping patterns, σ°VV and σ°VH show the highest value in the maturity stage, often appearing 10 to 12 days before the harvesting of the rice. A rice cropping pattern map was generated using the Support Vector Machine (SVM) classification of Sentinel-1A data. The overall accuracy of the classification was 80.7% with a 0.78 Kappa coefficient. Therefore, Sentinel-1A can be used to understand rice phenological changes as well as rice cropping systems using radar backscattering.

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Section: Introductionmentioning

confidence: 99%

Monitoring and Mapping of Rice Cropping Pattern in Flooding Area in the Vietnamese Mekong Delta Using Sentinel-1A Data: A Case of An Giang Province

Minh

Avtar

Mohan

et al. 2019

IJGI

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“…Groundwater is one of the most important finite natural resources for fresh water on Earth [1][2][3]. Its importance has increased as people depend on it for agriculture and industry, with domestic use exponentially increasing [4][5][6][7][8]. Groundwater exploration and climate change in recent years have led to accelerated depletion of groundwater levels as well as deterioration of groundwater quality, especially in shallow aquifers [9].…”

Section: Introductionmentioning

confidence: 99%

Hydrogeochemical Assessment of Groundwater Quality of Mokopane Area, Limpopo, South Africa Using Statistical Approach

Molekoa

Avtar

Kumar

et al. 2019

Water

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Despite being a finite resource, both the quality and quantity of groundwater are under tremendous pressure due to rapid global changes, viz. population growth, land-use/land-cover changes (LULC), and climate change. The 6th Sustainable Development Goal (SDG) aims to “Ensure availability and sustainable management of water and sanitation for all”. One of the most significant dimensions of the SDG agenda is the emphasis on data and governance. However, the lack of good governance coupled with good observed data cannot ensure the achievement of SDG6. Therefore, this study strives to evaluate water quality status and hydrochemical processes governing it in the data-scarce Mokopane area of South Africa. Groundwater is the main source of fresh water supply for domestic usage, intensive agriculture, and mining activities in Mokopane. In this study, hydrogeochemical analysis of groundwater samples was employed to calculate the water quality index (WQI) and evaluate factors governing water quality evolution in the study area. Statistical and spatial analysis techniques were carried out to divide sampling sites into clusters and delineate principal factors responsible for determining water quality of the sampled groundwater. Results suggest that most of the physico-chemical parameters are within permissible limits for drinking water set by the World Health Organization (WHO), except for high fluoride in some samples. Na-HCO3 is the most abundant water type followed by Mg-HCO3, which indicates dominance of Na+, Mg2+, and HCO3±. Rock-water interaction is the prime factor responsible for fluoride enrichment in water. The alkaline nature of groundwater favors the release of exchangeable F− from minerals like muscovite. The WQI suggests that 80% of water samples fall into the good and excellent categories. Poor management of untreated domestic sewage and agricultural runoff is a main factor for the bad/very bad categories of water samples. As the area lacks any credible scientific/government work to report water quality and its management aspects, the findings of this study will definitely help both scientific communities and policy makers to do what is needed for sustainable water resource management in a timely manner.

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“…In addition, crop rotation has been identified as a good practice that can aid in carbon sequestration in this era of climate change. Le et al [16] observed that carbon sequestration has more sensitivity to the cropping system than climate change, and this implies that with the effective practice of crop rotation, climate change may not significantly affect crop production. Farina et al [17] in another study on the adaptation of agricultural systems to climate change, with particular reference to the effect of Durum wheat-based rotation on soil organic carbon (SOC) and nitrogen, showed that losses were greatly reduced even though crop rotation has no significant negative effect on the SOC.…”

Section: Introductionmentioning

confidence: 99%

CROP Rotation and Diversity Practices among Rural Farmers in Ebonyi State, Nigeria

Igberi¹,

Ibrahim-Olesin²,

Nnorom³

et al. 2022

ujar

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Crop rotation has been identified as a practice that enhances soil fertility and healthy foods, but its awareness and adoption among rural farmers of Ebonyi State, who need the knowledge of best agronomic practices owing to the high cost of fertilizer, remain unknown. To bridge this gap, 180 rural farmers were selected for this study using a multi-stage sampling procedure. Data for the study was obtained using a structured interview schedule, and was analyzed with the use of descriptive statistics, chi-square, and probit regression. The results showed that the mean age of the farmers was 55, and the majority of them (72.22%) were males. However, the majority (87.78%) of the rural farmers were not aware of crop rotation and diversity practices, and a significant difference existed in the average mean annual income of the same land size for adopters (N886, 848.68) and non-adopters (N455, 055.60). The probit regression result showed that marital status, educational level, farm size, cropping system practiced, and access to extension services by the respondents increased the likelihood of farmers' adoption of crop rotation and diversity practices. Intercropping was used more by farmers, and it was found that more extension support and access to education, among other things, would make it more likely that rural farmers would use the method.

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Evaluation of Long-Term SOC and Crop Productivity within Conservation Systems Using GFDL CM2.1 and EPIC

Cited by 9 publications

References 51 publications

Monitoring and Mapping of Rice Cropping Pattern in Flooding Area in the Vietnamese Mekong Delta Using Sentinel-1A Data: A Case of An Giang Province

Monitoring and Mapping of Rice Cropping Pattern in Flooding Area in the Vietnamese Mekong Delta Using Sentinel-1A Data: A Case of An Giang Province

Hydrogeochemical Assessment of Groundwater Quality of Mokopane Area, Limpopo, South Africa Using Statistical Approach

CROP Rotation and Diversity Practices among Rural Farmers in Ebonyi State, Nigeria

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