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Mountain building in the Al-Hajar Mountains (NE Oman) occurred during two major shortening stages, related to the convergence between Africa–Arabia and Eurasia, separated by nearly 30 Ma of tectonic quiescence. Most of the shortening was accommodated during the Late Cretaceous, when northward subduction of the Neo-Tethys Ocean was followed by the ophiolites obduction on top of the former Mesozoic margin. This shortening event lasted until the latest Santonian – early Campanian. Maastrichtian to Eocene carbonates unconformably overlie the eroded nappes and seal the Cretaceous foredeep. These neo-autochthonous post-nappe sedimentary rocks were deformed, along with the underlying Cretaceous tectonic pile, during the second shortening event, itself including two main exhumation stages. In this study we combine remotely sensed structural data, seismic interpretation, field-based structural investigations and apatite (U–Th)/He (AHe) cooling ages to obtain new insights into the Cenozoic deformation stage. Seismic interpretation indicates the occurrence of a late Eocene flexural basin, later deformed by an Oligocene thrusting event, during which the post-nappe succession and the underlying Cretaceous nappes of the internal foredeep were uplifted. This stage was followed by folding of the post-nappe succession during the Miocene. AHe data from detrital siliciclastic deposits in the frontal area of the mountain chain provide cooling ages spanning from 17.3 to 42 Ma, consistent with available data for the structural culminations of Oman. Our work points out how renewal of flexural subsidence in the foredeep and uplift of the mountain belt were coeval processes, followed by layer-parallel shortening preceding final fold amplification. Other information Published in: Geological Magazine License: http://creativecommons.org/licenses/by/4.0 See article on publisher's website: http://dx.doi.org/10.1017/S0016756819001250

Abstract CONTEXT The Northwestern uplands of Cambodia underwent a massive land conversion from forest to agriculture over the last 15 years. OBJECTIVE Our study conducted in Rotonak Mondol District, Battambang Province aimed at understanding farm diversity, trajectory, performance and capacity to innovate in order to identify effective interventions in a rapidly changing pioneer front. METHODS Based on a survey of 365 randomly selected households, we identified 4 main farm types by a combination of Principal Component Analysis and Cluster Analysis. The survey was complemented with detailed analyses of resource use, labor management, economic productivity and adoption of innovative practices on 95 households. RESULTS AND CONCLUSIONS The livelihood of Paddy Farms (20%) is centered on a rice-cattle combination with off-farm activities and annual upland crop farming providing cash income. The Large Farms (20%) specialize in intensive and mechanized upland crops, including orchards. The Small Farms (25%) have a diverse activity portfolio including paddy, annual upland crops, and off-farm activities. The livelihood of the Off-Farm type (35%) is largely based on low-income off-farm activities. We identified the time of arrival, initial cash and labor, relationship with local authorities, and/or social connections as key factors determining farm structures and livelihoods. This, in turn, determined farm capacities to accumulate resources during the maize boom that occurred in this region between 2006 and 2011. Based on our analysis of farm diversity, we identified interventions suitable to each farm type and opportunities for on-farm innovation through risk buffering mechanisms and strengthening of social organizations. SIGNIFICANCE Like in other pioneer fronts beyond our case study in Cambodia, a reorganization of the agricultural systems is required to support the shift from essentially individualistic behaviors to more concerted actions. The emergence of new institutions, such as farmer groups and cooperatives, can build upon the specific capacity and needs of the different types of farming systems to innovate.

Abstract Visible, near-infrared and short wave infrared (VNIR/SWIR, 400–2500 nm) remote sensing imagery is a useful tool for topsoil property mapping, but limited to bare soils pixels. With the increasing amount of freely available VNIR/SWIR satellite imagery (e.g. Landsat TM, ETM+, OLI and Sentinel-2A/B), extensive time series data can be exploited to increase the spatial coverage of bare soil derived information. The objective of this study was to evaluate the benefits of using a bare soil image created from the mean spectral reflectance from bare soil pixels along a time series, compared to a single-date image. The benefits were analyzed in term of (i) proportion of soil mapping and (ii) accuracy of clay content prediction. The study was conducted over the Cap-Bon region (Northern Tunisia) which is a pedologically contrasted and cultivated area. To this end, 262 topsoil samples and three Landsat-TM images acquired during the summer season were used. Multiple linear regression (MLR) models based on the multi-date and single-date Landsat-derived spectral dataset were performed to quantify clay soil content. Our results have shown that (1) a bare soil image created from only mean spectral reflectance from common bare soil pixels along a time series provided the best accuracy of clay content prediction (i.e., coefficient of determination of validation R val 2 of 0.75, a root mean square error of prediction (RMSEP) of 88 g/kg) with a moderate bare soil coverage (i.e., 23% of the study area); (2) a bare soil image created from a mix of mean spectral reflectance from common bare soil pixels along a time series and of spectral reflectance from bare soil pixels of single-date images provided acceptable accuracy of clay content prediction (i.e., R val 2 = 0.64, RMSEP = 109 g/kg) with a relatively high bare soil coverage (i.e., 44% of the study area); and (3) all the bare soil images provided similar spatial structures of the clay content predictions. With the actual availability of the VNIR/SWIR satellite imagery for the entire globe, this study offer a simple and accurate method for delivering accurate soil property maps over large areas, to the geoscience community.

International audience; Rural development projects to develop sustainable agriculture need to be assessed before engaging smallholder farmers at large scale. Data on agricultural systems to produce food, provide income for smallholders and reduce greenhouse-gas (GHG) emissions are scarce in Sub-Saharan Africa countries. Here, we assessed the potential of agroecological practices (AP) on economic benefits to farmers, GHG balance derived from agricultural activities, and efficiency of economic investments to mitigate GHG. The study was based on a NGO rural development project, which promoted AP: agroforestry, compost, and System of Rice Intensification. The economic and GHG mitigation benefits were projected over a period of 20 years on three scenarios. Two scenarios, differing by two expected levels of AP adoption, were compared to a reference one, in which there was no NGO intervention. Socio-economic, yield and soil data were gathered on 192 farms during five growing seasons (2013–2018). The GHG balance was estimated with TropiC Farm Tool and EX-ACT. The GHG emissions were reduced in both scenarios compared to the reference one: −5.2 to −13.6 tCO2eq farm−1 yr−1 for scenario 1 and 2 respectively. At the regional scale, the projected amount of C saved per euro invested was estimated at −0.25 tCO2eq euro−1 and -0.41 tCO2eq Euro−1 (or € 4 to 2.5 tCO2eq−1) under scenario 1 and scenario 2. The annual cash flow of farmers increased over the 20 years. Our study highlighted the potential of AP for increasing productivity and profitability of smallholder agricultural systems for the Malagasy farmers, while simultaneously contributing to climate change mitigation.

Argania spinosa also known as the argan tree is an endemic plant of Morocco. Despite having the ability to subsist in extreme drought conditions, it is threatened by soil land clearing, overexploitation, and absence of natural regeneration, causing a worrying decline in both spatial extent and density. The spatial extent of dryland forests is debated, as estimates of forest areas in drylands are uncertain. The present study aims to map and locate the spatial distribution of the argan trees at Smimou community located in Essaouira province, south-eastern Morocco, using satellite images and a double-classification process to overcome separability problems. The work focuses on the characterization and comparison of the unique phenological patterns of argan with the other present land-cover classes. NDVI products were derived from a Sentinel-2 time-series covering one year (2018 to 2019), then ground samples were used to extract phenological profiles at parcel level then at tree level, to feed representative calibration samples to Support Vector Machine classifier. The outcome was integrated with an elevation model in a Decision Tree to reclassify mixed areas. The results indicated an F1-score and an overall accuracy of 91.27% and 92.60% respectively, a promising technique for updating argan extent at national scale.

Available online 15 dec 2020 International audience

Organic amendments may improve the quality of acidic tropical agricultural soils with low organic carbon contents under conventional management (mineral fertilization and irrigation) in Southeast Asia. We investigated the effect of biochar, compost and their combination on maize growth and yield, soil physical, biological and chemical properties at harvesting time at four sites in three countries: Thailand, Vietnam and Laos. Treatments consisted of 10 t·ha−1 cow manure compost and 7 t·ha−1 of Bamboo biochar and their combination. Maize biomass production and cop yields were recorded for two seasons. Elemental content, pH and nutrient availability of soils were analyzed after the first growing season. We also characterized macrofauna abundance and water infiltration. Few changes were noted for maize biomass production and maize cop yield. Soil chemical parameters showed contrasting, site-specific results. Compost and biochar amendments increased soil organic carbon, pH, total K and N, P and K availability especially for sandy soils in Thailand. The combination of both amendments could reduce nutrient availability as compared to compost only treatments. Physical and biological parameters showed no treatment response. We conclude that the addition of compost, biochar and their mixture to tropical soils have site-specific short-term effects on chemical soil parameters. Their short-term effect on plants is thus mainly related to nutrient input. The site-dependent results despite similar crops, fertilization and irrigation practices suggest that inherent soil parameters and optimization of organic amendment application to specific pedoclimatic conditions need future attention.