A5006067627- Species Distribution and Climate Change
- Wheat and Barley Genetics and Pathology
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Plant Pathogens and Resistance
- Genetics and Plant Breeding
- Fire effects on ecosystems
- Climate change impacts on agriculture
- Bioenergy crop production and management
- Agricultural Innovations and Practices
- Berry genetics and cultivation research
- Plant responses to elevated CO2
- Hemiptera Insect Studies
- Plant Virus Research Studies
- Botany, Ecology, and Taxonomy Studies
- Privacy-Preserving Technologies in Data
- Genetically Modified Organisms Research
- Agricultural risk and resilience
- Research on scale insects
- Insect Pest Control Strategies
- Sustainable Agricultural Systems Analysis
- Plant Pathogens and Fungal Diseases
- Data-Driven Disease Surveillance
- Entomopathogenic Microorganisms in Pest Control
- Law, AI, and Intellectual Property
University of Minnesota
2017-2024
Cargill (United States)
2019-2021
Lincoln University
2013
Pseudo-absence selection for spatial distribution models (SDMs) is the subject of ongoing investigation. Numerous techniques continue to be developed, and reports their effectiveness vary. Because quality presence absence data key acceptable accuracy correlative SDM predictions, determining an appropriate method characterise pseudo-absences SDM's vital. The main methods that are currently used generate pseudo-absence points are: 1) randomly generated locations from background data; 2) within...
Crop diseases cause significant food and economic losses. We examined the joint, probabilistic, long-term, bio-economic impact of five major fungal pathogens wheat on global production by combining spatialized estimates their climate suitability with modeled distributions potential crop determined that almost 90% area is at risk from least one these diseases, recurring losses attributable to this set are upwards 62 million tons per year. Our high-loss regime translates around 8.5% world's...
Abstract Natural and human‐induced events are continuously altering the structure of our landscapes as a result impacting spatial relationships between individual landscape elements species living in area. Yet, only recently has influence surrounding on invasive spread started to be considered. The scientific community increasingly recognizes need for broader modeling framework that focuses cross‐study comparisons at different spatiotemporal scales. Using two illustrative examples, we...
We assembled 3,175 geo-tagged occurrences of fall armyworm worldwide and used that data in conjunction with information about the physiological requirements pest to spatially assess its global climate suitability. Our analysis indicates almost entire African maize crop is grown areas climates support seasonal infestations insect, while 92% area supports year-round growth pest. In contrast, rich-country production largely occurs temperate where only 2.3% may allow survive year-round, although...
This study provides a bio-economic assessment of the global climate suitability and probabilistic crop-loss estimates attributable to wheat leaf rust. We draw on purpose-built, spatially explicit, ecoclimatic model for rust estimate that 94.4% production is vulnerable disease. To reflect spatiotemporal variation in losses, we used approach representative loss distribution based long-term, state-level annual U.S. estimates. Applying variants this selected areas 15 epidemiological zones...
Abstract Climate change is threatening the status quo of agricultural production globally. Perennial cropping systems could be a useful strategy to adapt agriculture changing climate. Current and future perennial row crop have many varied applications these can respond differently than annuals challenges resulting from climate change, such as shifting ranges plant, pathogen, animal species more erratic weather patterns. To capitalize on attributes that assist in our ability world, it...
Correlative species distribution models (SDMs) are increasingly being used to predict suitable insect habitats. There is also much criticism of prediction discrepancies among different SDMs for the same and lack effective communication about SDM uncertainty. In this paper, we undertook a factorial study investigate effects various modeling components (species-training-datasets, predictor variables, dimension-reduction methods, model types) on accuracy predictions, with aim identifying...
Sustainable control of plant diseases requires a good understanding the epidemiological aspects such as biology causal pathogens. In current study, we used RT-PCR and Next Generation Sequencing (NGS) to contribute characterization maize lethal necrotic (MLN) viruses identify other possible that could represent future threat in production Tanzania. screening for Maize Chlorotic Mottle Virus (MCMV) detected virus majority (97%) samples (n = 223). Analysis subset 48) using NGS-Illumina Miseq...
Johansson, M. U., S. D. Senay, E. Creathorn, H. Kassa, and K. Hylander. 2019. Change in heathland fire sizes inside vs. outside the Bale Mountains National Park, Ethiopia, over 50 years of fire-exclusion policy: lessons for REDD+. Ecology Society 24(4):26. https://doi.org/10.5751/ES-11260-240426
Abstract Invasive plants are an ongoing subject of interest in North American forests, owing to their impacts on forest structure and regeneration, biodiversity, ecosystem services. An important component studying managing invaders involves knowing where the species are, or could be, geographically located. Temporal environmental context, conjunction with spatially-explicit occurrence information, can be used address this need. Here, we predict potential current future distributions four...
Societal Impact Statement Plant breeding is crucial for improving agricultural crops human use. However, an urgent rethink needed to ensure the next generation of plant breeders have necessary breadth skills provide ever more efficient, nutritious, profitable, and environmentally sustainable crops. a multifaceted endeavor, which intersects with many other disciplines professions. To help that future efforts are relevant needs society, it vital interdisciplinary nature profession adequately...
Abstract One of the major challenges in ensuring global food security is ever‐changing biotic risk affecting productivity and efficiency supply system. Biotic risks that threaten include pests diseases affect pre‐ postharvest terrestrial agriculture aquaculture. Strategies to minimize this depend heavily on plant animal disease research. As data collected at high spatial temporal resolutions become increasingly available, epidemiological models used assess predict have more accurate and,...
Abstract Choices by farmers—notably what crop to grow, where—are not only influenced spatially sensitive environmental attributes but also economic factors that respond changes in government policies. In South Africa, the policy stance toward agriculture swung an extended period of support spanning middle 20th century. Subsequently, agricultural policies were eliminated post‐Apartheid beginning 1990s. Using a purpose‐built, explicit data set for African 1918–2015, we show these structural...
Agriculture is an intrinsically spatial production process. Where on the landscape agriculture occurs affects environmental (e.g., soil, water, climate) factors that have large output and risk consequences. The location of also has substantial logistic, policy market performance implications. To facilitate analysis dynamics agriculture, we developed a collection new ADM 2 boundary files whose geographical dimensions naming standards map directly to 18 agricultural censuses report farm...