De-Risking Agriculture: The Basic Economics of Crop Insurance Versus Sensor-Driven Informatics

Governments and donors frequently subsidize crop insurance to mitigate agricultural risks from weather and pests. This approach is costly, with taxpayers funding significant subsidies that often benefit financial services providers more than farmers. Efforts to reduce program costs by triggering payments on area-wide or related indexing schemes are impeded by basis risk—compensating unaffected farmers while failing to pay some farmers whose crops failed. Access to accurate weather data is crucial for addressing basis risk and properly aligning indemnity pools with actual crop failures across regions and seasons. We argue that investing in timely, locally relevant weather data collection, access, and associated informatic services offers greater potential returns than subsidizing conventional crop insurance. These investments yield both immediate and long-term benefits through enhanced informatics products that help farmers prevent or minimize crop losses as their current and future seasons unfold. Over time, these informatics also help better align research and seed system development with variable cropping environments. Moreover, unlike insurance, well-calibrated crop informatic products not only reduce risk (by potentially lowering crop yield and profit variability), they can also increase farm productivity (thereby increasing crop output or profits) and thus enhance farm families’ economic well-being over the long-term

The hidden land use cost of upscaling cover crops

Cover cropping is considered a cornerstone practice in sustainable agriculture; however, little attention has been paid to the cover crop production supply chain. In this Perspective, we estimate land use requirements to supply the United States maize production area with cover crop seed, finding that across 18 cover crops, on average 3.8% (median 2.0%) of current production area would be required, with the popular cover crops rye and hairy vetch requiring as much as 4.5% and 11.9%, respectively. The latter land requirement is comparable to the annual amount of maize grain lost to disease in the U.S. We highlight avenues for reducing these high land use costs

Real-time Geoinformation Systems to Improve the Quality, Scalability, and Cost of Internet of Things for Agri-environment Research

With the increasing emphasis on machine learning and artificial intelligence to drive knowledge discovery in the agricultural sciences, spatial internet of things (IoT) technologies have become increasingly important for collecting real-time, high resolution data for these models. However, managing large fleets of devices while maintaining high data quality remains an ongoing challenge as scientists iterate from prototype to mature end-to-end applications. Here, we provide a set of case studies using the framework of technology readiness levels for an open source spatial IoT system. The spatial IoT systems underwent 3 major and 14 minor system versions, had over 2,727 devices manufactured both in academic and commercial contexts, and are either in active or planned deployment across four continents. Our results show the evolution of a generalizable, open source spatial IoT system designed for agricultural scientists, and provide a model for academic researchers to overcome the challenges that exist in going from one-off prototypes to thousands of internet-connected devices.Comment: 20 pages, 5 figures, 1 tabl

Glaciation Effects on the Phylogeographic Structure of Oligoryzomys longicaudatus (Rodentia: Sigmodontinae) in the Southern Andes

The long-tailed pygmy rice rat Oligoryzomys longicaudatus (Sigmodontinae), the major reservoir of Hantavirus in Chile and Patagonian Argentina, is widely distributed in the Mediterranean, Temperate and Patagonian Forests of Chile, as well as in adjacent areas in southern Argentina. We used molecular data to evaluate the effects of the last glacial event on the phylogeographic structure of this species. We examined if historical Pleistocene events had affected genetic variation and spatial distribution of this species along its distributional range. We sampled 223 individuals representing 47 localities along the species range, and sequenced the hypervariable domain I of the mtDNA control region. Aligned sequences were analyzed using haplotype network, Bayesian population structure and demographic analyses. Analysis of population structure and the haplotype network inferred three genetic clusters along the distribution of O. longicaudatus that mostly agreed with the three major ecogeographic regions in Chile: Mediterranean, Temperate Forests and Patagonian Forests. Bayesian Skyline Plots showed constant population sizes through time in all three clusters followed by an increase after and during the Last Glacial Maximum (LGM; between 26,000–13,000 years ago). Neutrality tests and the “g” parameter also suggest that populations of O. longicaudatus experienced demographic expansion across the species entire range. Past climate shifts have influenced population structure and lineage variation of O. longicaudatus. This species remained in refugia areas during Pleistocene times in southern Temperate Forests (and adjacent areas in Patagonia). From these refugia, O. longicaudatus experienced demographic expansions into Patagonian Forests and central Mediterranean Chile using glacial retreats

Intraguild predation of water scorpion Laccotrephes japonensis (Nepidae: Heteroptera)

Previous work on community structure of the invertebrate fauna of Japanese wetlands indicates the presence of intraguild predation between the heteropterans Laccotrephes japonensis (Nepidae) and Kirkaldyia deyrolli (Belostomatidae). We designed a series of experiments to understand the biotic interactions of several species of sympatric heteroptera and their shared prey. Adult Laccotrephes japonensis (Nepidae), first-instar nymph of Kirkaldyia (=Lethocerus) deyrolli (Belostomatidae), Hyla japonica tadpole, and fourth-instar nymph of Appasus japonicus (Belostomatidae) have been shown to be intraguild predator, intraguild prey, common prey, and prey of L. japonensis, respectively. To further understand the factors affecting prey preference by L. japonensis, we also examined the comparison of swimming speed in the three prey animals (K. deyrolli first-instar nymph, A. japonicus fourth-instar nymph, and H. japonica tadpole), and effects of prey animals on weight gain of L. japonensis adult. Despite there being no significant difference in weight gain or swimming speed of the three prey species, L. japonensis exhibited a strong preference for the 1st-instar nymph of K. deyrolli. We suggested that this may be evidence for one of elimination of a potential competitor, K. deyrolli, by L. japonensis through intraguild predation

Optimizing nitrogen rates in the midwestern United States for maximum ecosystem value

The importance of corn production to the midwestern United States cannot be overestimated. However, high production requires high nitrogen fertilization, which carries costs to environmental services such as water quality. Therefore, a trade-off exists between the production of corn yield and water quality. We used the Groundwater Vulnerability Assessment for Shallow depths and Crop Environment Resource Synthesis-Maize models to investigate the nature of this trade-off while testing the Simple Analytic Framework trade-offs featured in this Special Feature. First, we estimated the current levels of yield and water quality production in northeastern Iowa and southern Minnesota at the 1-square-kilometer, county, and regional scales. We then constructed an efficiency frontier from optimized nitrogen application patterns to maximize the production of both yield and water quality. Results highlight the context dependency of this trade-off, but show room for increasing the production of both services to the benefit of all stakeholders. We discuss these results in the context of spatial scale, biophysical limitations to the production of services, and stakeholder outcomes given disparate power balances and biophysical contexts