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Preprints

Filtering by Subject: Earth Sciences

Comment on ‘Carbon intensity of corn ethanol in the United States: state of the science’

Seth Spawn-Lee, Tyler J. Lark, Holly Gibbs, et al.

Published: 2021-05-07
Subjects: Agricultural and Resource Economics, Agricultural Economics, Agricultural Science, Agriculture, Agronomy and Crop Sciences Life Sciences, Biogeochemistry, Earth Sciences, Ecology and Evolutionary Biology, Energy Policy, Environmental Indicators and Impact Assessment, Environmental Policy, Environmental Sciences, Environmental Studies, Geography, Life Sciences, Oil, Gas, and Energy, Physical and Environmental Geography, Physical Sciences and Mathematics, Plant Sciences, Public Affairs, Public Policy and Public Administration, Social and Behavioral Sciences, Soil Science, Sustainability

Scully et al [1] in their recent contribution review and revise past life cycle assessments (LCAs) of corn-grain ethanol’s carbon (C) intensity to suggest that a current ‘central best estimate’ is considerably less than all prior estimates. Their conclusion emerges from selection and recombination of sector-specific greenhouse gas emission predictions from disparate studies in a way that [...]

Global maps of soil temperature

Jonas J Lembrechts, Johan van den Hoogen, Juha Aalto, et al.

Published: 2021-03-21
Subjects: Climate, Earth Sciences, Ecology and Evolutionary Biology, Environmental Monitoring, Environmental Sciences, Life Sciences, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Soil Science

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids thus fail to reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions are controlled and most terrestrial species reside. Here we provide global maps of soil [...]

Motif: an open-source R tool for pattern-based spatial analysis

Jakub Nowosad

Published: 2020-10-17
Subjects: Categorical Data Analysis, Earth Sciences, Ecology and Evolutionary Biology, Environmental Sciences, Life Sciences, Physical Sciences and Mathematics, Statistics and Probability, Terrestrial and Aquatic Ecology

*Context* Pattern-based spatial analysis provides methods to describe and quantitatively compare spatial patterns for categorical raster datasets. It allows for spatial search, change detection, and clustering of areas with similar patterns. *Objectives* We developed an R package **motif** as a set of open-source tools for pattern-based spatial analysis. *Methods* This package provides [...]

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