FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3217743535> ?p ?o ?g. }

• W3217743535 endingPage "1391" @default.
• W3217743535 startingPage "1371" @default.
• W3217743535 abstract "Abstract. The US agriculture system supplies more than one-third of globally traded soybean, and with 90 % of US soybean produced under rainfed agriculture, soybean trade is particularly sensitive to weather and climate variability. Average growing season climate conditions can explain about one-third of US soybean yield variability. Additionally, crops can be sensitive to specific short-term weather extremes, occurring in isolation or compounding at key moments throughout crop development. Here, we identify the dominant within-season climate drivers that can explain soybean yield variability in the US, and we explore the synergistic effects between drivers that can lead to severe impacts. The study combines weather data from reanalysis and satellite-informed root zone soil moisture fields with subnational crop yields using statistical methods that account for interaction effects. On average, our models can explain about two-thirds of the year-to-year yield variability (70 % for all years and 60 % for out-of-sample predictions). The largest negative influence on soybean yields is driven by high temperature and low soil moisture during the summer crop reproductive period. Moreover, due to synergistic effects, heat is considerably more damaging to soybean crops during dry conditions and is less problematic during wet conditions. Compounding and interacting hot and dry (hot–dry) summer conditions (defined by the 95th and 5th percentiles of temperature and soil moisture respectively) reduce yields by 2 standard deviations. This sensitivity is 4 and 3 times larger than the sensitivity to hot or dry conditions alone respectively. Other relevant drivers of negative yield responses are lower temperatures early and late in the season, excessive precipitation in the early season, and dry conditions in the late season. We note that the sensitivity to the identified drivers varies across the spatial domain. Higher latitudes, and thus colder regions, are positively affected by high temperatures during the summer period. On the other hand, warmer southeastern regions are positively affected by low temperatures during the late season. Historic trends in identified drivers indicate that US soybean production has generally benefited from recent shifts in weather except for increasing rainfall in the early season. Overall, warming conditions have reduced the risk of frost in the early and late seasons and have potentially allowed for earlier sowing dates. More importantly, summers have been getting cooler and wetter over the eastern US. Nevertheless, despite these positive changes, we show that the frequency of compound hot–dry summer events has remained unchanged over the 1946–2016 period. In the longer term, climate models project substantially warmer summers for the continental US, although uncertainty remains as to whether this will be accompanied by drier conditions. This highlights a critical element to explore in future studies focused on US agricultural production risk under climate change." @default.
• W3217743535 created "2021-12-06" @default.
• W3217743535 creator A5020619459 @default.
• W3217743535 creator A5026727516 @default.
• W3217743535 creator A5034914007 @default.
• W3217743535 creator A5043851351 @default.
• W3217743535 date "2021-11-30" @default.
• W3217743535 modified "2023-10-01" @default.
• W3217743535 title "Impacts of compound hot–dry extremes on US soybean yields" @default.
• W3217743535 cites W1569716231 @default.
• W3217743535 cites W1994085875 @default.
• W3217743535 cites W2015857298 @default.
• W3217743535 cites W2028979033 @default.
• W3217743535 cites W2061870228 @default.
• W3217743535 cites W2065469815 @default.
• W3217743535 cites W2077766806 @default.
• W3217743535 cites W2086710305 @default.
• W3217743535 cites W2109438227 @default.
• W3217743535 cites W2112092738 @default.
• W3217743535 cites W2117162642 @default.
• W3217743535 cites W2123413617 @default.
• W3217743535 cites W2123583857 @default.
• W3217743535 cites W2123649182 @default.
• W3217743535 cites W2132951108 @default.
• W3217743535 cites W2136470617 @default.
• W3217743535 cites W2136800481 @default.
• W3217743535 cites W2142231247 @default.
• W3217743535 cites W2147349378 @default.
• W3217743535 cites W2161994757 @default.
• W3217743535 cites W2163861531 @default.
• W3217743535 cites W2164094029 @default.
• W3217743535 cites W2169245074 @default.
• W3217743535 cites W2189719333 @default.
• W3217743535 cites W2227280755 @default.
• W3217743535 cites W2252922634 @default.
• W3217743535 cites W2261003152 @default.
• W3217743535 cites W2314174254 @default.
• W3217743535 cites W2326828011 @default.
• W3217743535 cites W2370482850 @default.
• W3217743535 cites W2392998208 @default.
• W3217743535 cites W2485420366 @default.
• W3217743535 cites W2508823148 @default.
• W3217743535 cites W2518804037 @default.
• W3217743535 cites W2519965043 @default.
• W3217743535 cites W2547915434 @default.
• W3217743535 cites W2556991464 @default.
• W3217743535 cites W2570594081 @default.
• W3217743535 cites W2571631288 @default.
• W3217743535 cites W2583159613 @default.
• W3217743535 cites W2608682153 @default.
• W3217743535 cites W2610651111 @default.
• W3217743535 cites W2614926995 @default.
• W3217743535 cites W2619178125 @default.
• W3217743535 cites W2729777092 @default.
• W3217743535 cites W2753815873 @default.
• W3217743535 cites W2786909977 @default.
• W3217743535 cites W2789481290 @default.
• W3217743535 cites W2795290655 @default.
• W3217743535 cites W2797873309 @default.
• W3217743535 cites W2800299140 @default.
• W3217743535 cites W2800451846 @default.
• W3217743535 cites W2802888882 @default.
• W3217743535 cites W2896452495 @default.
• W3217743535 cites W2899696537 @default.
• W3217743535 cites W2908319623 @default.
• W3217743535 cites W2915985821 @default.
• W3217743535 cites W2927413391 @default.
• W3217743535 cites W2930103528 @default.
• W3217743535 cites W2941364581 @default.
• W3217743535 cites W2942591112 @default.
• W3217743535 cites W2945233782 @default.
• W3217743535 cites W2945570949 @default.
• W3217743535 cites W2946891987 @default.
• W3217743535 cites W2949904392 @default.
• W3217743535 cites W2953901720 @default.
• W3217743535 cites W2991187304 @default.
• W3217743535 cites W2991924190 @default.
• W3217743535 cites W3007404812 @default.
• W3217743535 cites W3009844168 @default.
• W3217743535 cites W3009968771 @default.
• W3217743535 cites W3011754375 @default.
• W3217743535 cites W3014125413 @default.
• W3217743535 cites W3022181925 @default.
• W3217743535 cites W3035432101 @default.
• W3217743535 cites W3048000985 @default.
• W3217743535 cites W3080526112 @default.
• W3217743535 cites W3081452296 @default.
• W3217743535 cites W3089880072 @default.
• W3217743535 cites W3102541766 @default.
• W3217743535 cites W3127660238 @default.
• W3217743535 cites W3133756359 @default.
• W3217743535 cites W3134102899 @default.
• W3217743535 cites W3199914025 @default.
• W3217743535 cites W4232750513 @default.
• W3217743535 doi "https://doi.org/10.5194/esd-12-1371-2021" @default.
• W3217743535 hasPublicationYear "2021" @default.
• W3217743535 type Work @default.
• W3217743535 sameAs 3217743535 @default.

• next