Crop productivity and tree growth in intercropped agroforestry systems in semi-arid and sub-humid regions of Ethiopia

Tadesse, Shiferaw; Gebretsadik, Wondwossen; Muthuri, Catherine; Derero, Abayneh; Hadgu, Kiros Meles; Said, Hadia; Dilla, Aynalem M.

doi:10.1007/s10457-021-00596-9

Cited by 19 publications

(6 citation statements)

References 25 publications

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“…Furthermore, in our trials, the olive tree densities were higher than recommended in agroforestry (below 200 trees ha −1 ) [55]. Similar findings were reported in Brazil by [56] where, when intercropping cacao with orange or avocado, trees reduced the cacao yield and plant vigor, especially when the planting distance was small. In addition, the distance between quinoa and trees (2 m) was not sufficient to avoid shade induced by an olive tree canopy.…”

Section: Yields and Yield-related Componentssupporting

confidence: 88%

Quinoa–Olive Agroforestry System Assessment in Semi-Arid Environments: Performance of an Innovative System

Abidi,

Daoui,

Abouabdillah

et al. 2024

Agronomy

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Agroforestry is a promising way to sustain land use efficiency in semi-arid areas. In this study, we introduce quinoa as a drought- and salinity-tolerant crop in olive-based agroforestry. We investigated how the microclimate created by olive trees affects agronomic and biochemical traits in quinoa and evaluated the performance of this new olive-based agroforestry system in terms of land equivalent ratio (LER). Field experiments were carried out under two pedoclimatic conditions (S1) and (S2) using a randomized complete block design with two cropping systems (sole crop (SCS) and agroforestry (AFS) systems), four quinoa cultivars (Puno, Titicaca, ICBA-Q5, and ICBA-Q4) and one olive orchard as a control (OR) in each block. Our results show that AFS had lower grain yield (−45%), dry biomass (−49%), and crop water productivity (−44%), but higher plant height (12%), grain protein (4%), saponin (26%), total polyphenol (12%), and DPPH (9%) contents compared to SCS. The highest grain yield was recorded for Titicaca and ICBA-Q5 (1.6 t ha−1). The LER ranged from 1.57 to 2.07, indicating that the overall productivity was 57% to 107% higher in the agroforestry system compared with the monoculture. We suggest that quinoa–olive tree intercropping could be a promising agroecological practice under semi-arid conditions.

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Section: Yields and Yield-related Componentssupporting

confidence: 88%

Quinoa–Olive Agroforestry System Assessment in Semi-Arid Environments: Performance of an Innovative System

Abidi,

Daoui,

Abouabdillah

et al. 2024

Agronomy

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“…The regions with a significantly decreased EQI, which accounted for 0.45%, are mainly distributed in grassland and farmland ecosystems in arid and semi-arid areas. These areas are more vulnerable to increasing climate change and human activities than other terrestrial vegetation, which will experience varying degrees of degradation in the context of global climate change [ 37 , 38 , 39 ]. Therefore, it can be deduced that climate change is the main reason for the degradation of vegetation ecosystems and there is no obvious relativity between the conduction of the BRI and the ecosystem quality changes from 2016 to 2020.…”

Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Changes in Ecosystem Quality across the Belt and Road Region

Wei,

Cheng,

Yang

et al. 2023

Sensors

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The Silk Road Economic Belt and the 21st Century Maritime Silk Road Initiative (BRI) proposed in 2013 by China has greatly accelerated the social and economic development of the countries along the Belt and Road (B&R) region. However, the international community has questioned its impact on the ecological environment and a comprehensive assessment of ecosystem quality changes is lacking. Therefore, this study proposes an objective and automatic method to assess ecosystem quality and analyzes the spatiotemporal changes in the B&R region. First, an ecosystem quality index (EQI) is established by integrating the vegetation status derived from three remote sensing ecological parameters including the leaf area index, fractional vegetation cover and gross primary productivity. Then, the EQI values are automatically categorized into five ecosystem quality levels including excellent, good, moderate, low and poor to illustrate their spatiotemporal changes from the years 2016 to 2020. The results indicate that the spatial distributions of the EQIs across the B&R region exhibited similar patterns in the years 2016 and 2020. The regions with excellent levels accounted for the lowest proportion of less than 12%, while regions with moderate, low and poor levels accounted for more than 68% of the study area. Moreover, based on the EQI pattern analysis between the years 2016 and 2020, the regions with no significant EQI change accounted for up to 99.33% and approximately 0.45% experienced a significantly decreased EQI. Therefore, this study indicates that the ecosystem quality of the B&R region was relatively poor and experienced no significant change in the five years after the implementation of the “Vision and Action to Promote the Joint Construction of the Silk Road Economic Belt and the 21st Century Maritime Silk Road”. This study can provide useful information for decision support on the future ecological environment management and sustainable development of the B&R region.

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“…Studies on herbaceous vegetation in this direction have been carried out but are limited. Forest reclamation systems are multifunctional complexes for the protection and restoration of agricultural land from anthropogenic impact and climate risks [2,66,67]. The influence of individual parameters of plantings on the wind regime has been studied.…”

Section: Estimation Of Deflationary Stability Of Soils and Vegetation...mentioning

confidence: 99%

Functionality of Zonal Agroforestry Systems on Agricultural Land of Dry Territories

Pugacheva

2023

Forests

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In this study, agroforestry systems (AFSs) are represented by zonal type using the example of agricultural lands of the administrative districts of the Volgograd region for the first time. The average percentage of forest cover in the territories for these categories of land was 0.9%, with the following distribution by zone: real steppe—1.3%; dry steppe—0.97%; and semidesert—0.6%. Cartographic analysis of the spatial distribution of areas of artificial forest plantations, presented in the form of background cartograms, showed the greatest spatial asymmetry and variability in the forest cover index in the semidesert zone (As = 1.68; Ex = −4.08). This is due to the large variation in indicators by occupied space, namely AFS, agricultural land, and arable land. The calculated area of arable land under AFS protection averaged 35% for the region, with the following distribution by zone: real steppe—47% of the area of the zone; dry steppe—22%; and semidesert—82%. The author’s methodological approach presents the exposed AFS area of arable land as open and closed territories. The open territory of the spring period (March) is land at risk of deflation since it is completely free of plants (black fallows, areas covered by spring crops, and tilled crops). It makes up 67% of the exposed area of AFSs. The annual removal of soil from this area of the region was calculated via mathematical analysis. It amounted to 3.08 × 107 tons. Analysis of the AFS species composition showed the following distribution of species: deciduous species—86%; mixed species—8%; and coniferous—6%. This model can be applied to many arid areas to calculate deflationary losses and the amount of additional AFSs needed.

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Crop productivity and tree growth in intercropped agroforestry systems in semi-arid and sub-humid regions of Ethiopia

Cited by 19 publications

References 25 publications

Quinoa–Olive Agroforestry System Assessment in Semi-Arid Environments: Performance of an Innovative System

Quinoa–Olive Agroforestry System Assessment in Semi-Arid Environments: Performance of an Innovative System

Spatio-Temporal Changes in Ecosystem Quality across the Belt and Road Region

Functionality of Zonal Agroforestry Systems on Agricultural Land of Dry Territories

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