High-resolution model for estimating the economic and policy implications of agricultural soil salinization in California
Bibliographic Data
| ID | 15545100 |
|---|---|
| Authors | Paul D Welle (Carnegie Mellon University), Meagan S Mauter (0000-0002-4932-890X, Carnegie Mellon University, corresponding author) |
| Year | 2017 |
| Volume | 12 |
| Issue | 9 |
| Pages | 094010-094010 |
| Publication date | 2017-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/aa848e |
| OpenAlex | W2754017247 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
This work introduces a generalizable approach for estimating the field-scale agricultural yield losses due to soil salinization. When integrated with regional data on crop yields and prices, this model provides high-resolution estimates for revenue losses over large agricultural regions. These methods account for the uncertainty inherent in model inputs derived from satellites, experimental field data, and interpreted model results. We apply this method to estimate the effect of soil salinity on agricultural outputs in California, performing the analysis with both high-resolution (i.e. field scale) and low-resolution (i.e. county-scale) data sources to highlight the importance of spatial resolution in agricultural analysis. We estimate that soil salinity reduced agricultural revenues by $3.7 billion ($1.7–$7.0 billion) in 2014, amounting to 8.0 million tons of lost production relative to soil salinities below the crop-specific thresholds. When using low-resolution data sources, we find that the costs of salinization are underestimated by a factor of three. These results highlight the need for high-resolution data in agro-environmental assessment as well as the challenges associated with their integration
Agricultural economics · Agricultural engineering · Agricultural productivity · Agriculture · Cartography · Economics · Geography · Hydrology (agriculture · Precision agriculture · Revenue · Salinity · Scale (ratio · Soil salinity · Soil water · Climate change impacts on agriculture · Environmental Science · Irrigation Practices and Water Management · Soil Geostatistics and Mapping · Geology · Soil Science
Global food demand and the sustainable intensification of agriculture
Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850-2000
Matplotlib
Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850–2000
Irrigated agriculture and climate change
The Modifiable Areal Unit Problem in Multivariate Statistical Analysis
Soil Resilience and Sustainable Land Use
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,17 |
| Citation span | 2020 - 2020 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |