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(a) Geographic information System (GiS) shapes at different distances from buffers in contour grass strip (cGS) and agroforestry (AGF) watersheds used for yield extractions from corn and soybean georeferenced yield maps during the study years at the paired watershed study, Greenley research center, Missouri. (b) inset map shows the selected area within each watershed. Grass bu in the legend indicates the strips in cGS watershed used for yield extraction at different distances from cGS buffers. Similarly Agrof bu in the legend indicates the strip in AGF watershed used for yield extraction at different distances from AGF buffers.  

(a) Geographic information System (GiS) shapes at different distances from buffers in contour grass strip (cGS) and agroforestry (AGF) watersheds used for yield extractions from corn and soybean georeferenced yield maps during the study years at the paired watershed study, Greenley research center, Missouri. (b) inset map shows the selected area within each watershed. Grass bu in the legend indicates the strips in cGS watershed used for yield extraction at different distances from cGS buffers. Similarly Agrof bu in the legend indicates the strip in AGF watershed used for yield extraction at different distances from AGF buffers.  

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Contour perennial buffers within cropland reduce pollutants from watersheds, but may interfere and affect crop yields at the crop-buffer interface. The objective of this study was to evaluate the temporal and spatial effects of agroforestry (AGF) and contour grass (CGS) buffers on no-till corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] yiel...

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... soybean (2005, 2007, and 2009) year. The mean yields at representative distances were obtained by extracting yield data points from geo referenced yield data maps (collected by a yield monitor) using selection tools in ArcGIS 9.3 software and GIS shape files created for 0-to 5-m, 5-to 10-m, 10-to 15-m, and 15-to 20-m distances from the buffers (Fig. 2a). The shape files for distances were created using geo-referenced land- use maps of the two ...

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... Crop yields were comparable to the means for the region during the study. However, the reduction of corn yield was greater than soybeans for the 0-5-m strip from the buffer edge compared to 20-m from the buffer edge (Senaviratne et al 2012). This may indicate competition for resources including nutrients, water, soil volume for roots, and light (Jose et al. 2000;Senaviratne et al 2012;Udawatta et al 2014Udawatta et al , 2016 and utilization of resources including water and nutrients by the trees. ...
... However, the reduction of corn yield was greater than soybeans for the 0-5-m strip from the buffer edge compared to 20-m from the buffer edge (Senaviratne et al 2012). This may indicate competition for resources including nutrients, water, soil volume for roots, and light (Jose et al. 2000;Senaviratne et al 2012;Udawatta et al 2014Udawatta et al , 2016 and utilization of resources including water and nutrients by the trees. ...
... Vol.: (0123456789) The current study showed carbon and biomass accumulation at the site. Several studies conducted at this site have shown numerous benefits including soil hydraulic, lower bulk density, porosity, water quality, biodiversity, soil carbon sequestration, and soil water dynamics (Alagele et al 2020;Sahin et al. 2016;Salceda et al. 2022;Senaviratne et al. 2012Senaviratne et al. , 2013Senaviratne et al. , 2014Senaviratne et al. , 2005Senaviratne et al. , 2011aUdawatta et al. 2022, b). Findings of the current study and other research at the same site show that agroforestry is a strong NbS that can provide numerous ecosystem benefits from the same land parcel while reducing the impact of agriculture on the environment and forests. ...
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... Anderson et al. (2009) found that watersheds with agroforestry buffer strips in Missouri U.S. had lower soil water content early in the growing season than crop watersheds, but this has not been confirmed within prairie strip fields. Fifth, prairie strips could compete with adjacent crops for nutrients, but this is likely weather-and vegetation-dependent (Banik et al., 2020;Senaviratne et al., 2012), and this, too, has not yet been tested in prairie strip fields. Lastly, prairie strips may positively or negatively alter adjacent crops and soils through mechanism(s) of which we are unaware. ...
... Ghaffarzadeh et al. (1994) found that the maize yield benefitted from soybean intercropping when water stress was low, but when water stress increased, the yield from border maize rows declined. Other studies have shown that perennial vegetation can negatively affect nearby soybean and maize physiology or yields (Banik et al., 2020;Rivest and Vézina, 2015;Senaviratne et al., 2012;Udawatta et al., 2016). Contour grass strips and agroforestry strips, for example, can reduce grain yield by 15-49% in adjacent crops (Senaviratne et al., 2012). ...
... Other studies have shown that perennial vegetation can negatively affect nearby soybean and maize physiology or yields (Banik et al., 2020;Rivest and Vézina, 2015;Senaviratne et al., 2012;Udawatta et al., 2016). Contour grass strips and agroforestry strips, for example, can reduce grain yield by 15-49% in adjacent crops (Senaviratne et al., 2012). Speculation on mechanisms driving these negative responses includes the competition for water (Rivest and Vézina, 2015;Senaviratne et al., 2012) and nutrients, especially nitrate (Banik et al., 2020;Zhou et al., 2010). ...
... In vineyard AGF systems, competition for N can be addressed by planting leguminous cover crops, applying higher rates of fertilizer in vine rows closer to tree rows, or selecting N-fixing trees for intercropping (Nair 1993c, d). Competition for water has been shown to be less of an issue in vineyard agroforestry systems, but during drought years, competition for water can be addressed through management practices such as root pruning, branch pruning, and tree thinning (Peter and Lehmann 2000;Reynolds et al. 2007;Dupraz et al. 2009;Senaviratne et al. 2012;Trambouze et al. 2017;Grimaldi 2018). Competition for both water and N can be addressed by combining vines with tree species whose roots occupy different soil niches than grapevine roots, or by spacing trees more widely (Nair 1993e). ...
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... It is apparent that in the early stage of growing season 1, the soil mo isture was significantly low co mpared to the latter stage as shown in Fig.8.a while the reverse trend is evident for growing season 2 as indicated in Fig.8.b. In addition, the soil mo isture exhibit less variation in growing season 2 compared to that of growing season 1. Inadequate soil moisture leads to slow germination, sluggish growth rate, smaller leaf area, lesser number of pods per plant, reduced number of seeds per pod, and ultimately reduced crop yield [14]. Th is is because low water amount in the soil results to not only low bio mass formation but also lower biological nitrogen fixation [15]. ...
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... In 2006, corn was planted and harvested over both the AGF and CGS areas on 14 April and 27 September respectively, with a mean yield of 11.06 Mg ha −1 . In 2007, soybeans were seeded on both the AGF and CGS areas at 444,600 seeds ha −1 on 8 June and harvested on 26 October with a mean yield of 3.4 Mg ha −1 (Senaviratne et al., 2012). ...
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... The buffer also needs to be perpendicular to the wind direction or the runoff slope to realize the maximum benefits. Benefits of buffer strips include improved microclimate, water conservation, and soil protection, which improve growing conditions (Bang et al. 2010;Cleugh et al. 1998) and increase crop yield (Senaviratne et al. 2012). Wind barrier research under irrigated conditions is limited. ...
... Thus it will realize most of the benefits regardless of wind direction or slope. Similarly, planting grass or tree buffer strips on contours or across the slope to minimize water erosion have shown promise (Senaviratne et al. 2012). When the direction of the resource or pollutant movement is known, building a barrier across it will reduce the loss of that resource or pollutant. ...
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... Muth (2014) provided a vision for developing a sustainable farm plan to improve profits using practices such as RB and CRP or alternative crops in areas of lower soil productivity and environmentally sensitive areas. In addition, conservation practices such as RB and CRP lands are widely promoted and numerous studies have evaluated their environmental benefits, but only a few studies have examined long-term effects on crop yields with these practices (Senaviratne et al., 2012;Udawatta et al., 2014). Information for RB and CRP effects with yearly weather and distance from buffer when growing corn and soybean is limited. ...
... In 2010, these same two comparisons showed reductions of 52 and 67%. Alley cropping buffer studies in Missouri showed 15 to 90% grain yield reductions with 6and 22-yr-old tree buffers (Senaviratne et al., 2012;Udawatta et al., 2014). They attributed reductions to competition for moisture and light. ...
... Crop yield was not affected by trees growth during the first 4 yr but as trees grew, yield reductions were significant (Lott et al., 2000). Senaviratne et al. (2012) also showed a progressive yield decline from the tree buffer with time for the younger alley cropping system. Yield reductions observed in the current study were similar to those findings. ...
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Riparian buffers (RB) and the Conservation Reserve Program (CRP) can improve water and soil quality. However, these practices can reduce crop yields, especially at the tree/CRP‐crop interface. The objective of this study was to quantify yield differences in a no‐till corn ( Zea mays L.)–soybean [ Glycine max (L.) Merr.] rotation with a multi‐species RB, CRP, and riparian with root pruning (RRP). Crop yields were determined in triplicate plots by rows from 2007 to 2010. Regression analysis was used to evaluate yield differences among years and distances from the tree/CRP‐crop interface and RRP. Corn yield at 0.76‐m was 97, 97, 65, and 66% lower than the yield at 9‐m away from the interface in 2007, 2008, 2009, and 2010, respectively for RB. Averaged across 4 yr corn yields at 0.76 m was 61, 74, and 81% of that at 3, 6, and 9 m. The CRP had no effect on corn yields. Effects of RB and CRP were not significant for soybean. The RRP showed increasing yield for rows from the tree interface for corn and soybean. The distance explained 21 to 60% and 15 to 52% of the yield variations in corn and soybean, respectively, with the RRP treatment. Results are applicable only to the studied distances. Results of the study suggest selection of a less sensitive crop such as soybean for use with RB in the first 9 m (12 rows), or use of CRP to generate additional income and ecosystem services to offset any loss in grain. Core Ideas This manuscript evaluated riparian buffer, CRP, and riparian with root pruning on corn and soybean yields for 4 years. Riparian with root pruning significantly reduced crop yields near the buffer/crop border. The CRP effect was not significant. Results of the study imply the importance of land management practices for production and environmental benefits.
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Tree-based intercropping (TBI) systems induce microclimate modifications that can enhance crop performance through water use efficiency. However, the extent of this efficiency is dependent on water acquisition strategies of trees in such agroforestry systems. Charting water uptake zones at the tree-crop root interface in TBI systems is essential for managing water resources, particularly with increasing water stress from a changing climate. In this study, we identify the water uptake zones of Juglans nigra (walnut) and Populus sp. (hybrid of Populus deltoids X Populus nigra clone DN-177) (poplar) intercropped with winter barley (Hordeum vulgare) in a temperate TBI system. Water isotopic analysis using δ18O was conducted on paired soil water and tree xylem water samples in early season (pre-crop) and late season (with crop) collected from the Agroforestry Research Station in Guelph, Ontario, Canada. Two approaches for identifying the water uptake zones were used: direct inference and multiple source mass-balance analysis. Both approaches showed that poplar exhibits a dominant soil water uptake zone at 20 cm in the soil profile in the early season, while the dominant walnut uptake zone was higher in the soil profile at 10 cm. Depth of water uptake was lower in the soil profile (40-70 cm) in the late season for both species. This study indicates: (i) tree species dependent water acquisition zones, and (ii) a shift in tree water acquisition to deeper in the soil profile over the growing season. Using isotopic techniques, we suggest that poplar and walnut root activity stratify below the crop root zone later in the growing season, potentially reducing competition for water resources.