Publications in VIVO

Co-author Network

mahood, adam

Person

Positions

Research Affiliate, Cooperative Institute for Research in Environmental Sciences (CIRES)

Publications

selected publications

journal article
- The fastest-growing and most destructive fires in the US (2001 to 2020).. Science. 425-431. 2024
- Soil climate underpins year effects driving divergent outcomes in semi‐arid cropland‐to‐grassland restoration. Ecosphere. 2024
- neonPlantEcology: An R package for preparing NEON plant data for use in ecological research. Ecological Modelling. 2024
- The invasive plant data landscape: a synthesis of spatial data and applications for research and management in the United States. Landscape Ecology. 3825-3843. 2023
- Fuel Connectivity, Burn Severity, and Seedbank Survivorship Drive Ecosystem Transformation in a Semiarid Shrubland 2023
- Fuel connectivity, burn severity, and seed bank survivorship drive ecosystem transformation in a semiarid shrubland. Ecology. 2023
- Shifting social-ecological fire regimes explain increasing structure loss from Western wildfires 2023
- Ten simple rules for working with high resolution remote sensing data. Peer Community Journal. 2023
- Modern Pyromes: Biogeographical Patterns of Fire Characteristics across the Contiguous United States. Fire. 2022
- Country-level fire perimeter datasets (2001-2021). Scientific Data. 2022
- The human-grass-fire cycle: how people and invasives co-occur to drive fire regimes. Frontiers in Ecology and the Environment. 117-126. 2022
- Warming weakens the night-time barrier to global fire. Nature. 442-+. 2022
- Interannual climate variability mediates changes in carbon and nitrogen pools caused by annual grass invasion in a semiarid shrubland. Global Change Biology. 267-284. 2022
- Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community. Ecosphere. 2021
- Interannual climate variability mediates changes in carbon and nitrogen pools caused by annual grass invasion in a semi-arid shrubland 2021
- Cover-based allometric estimate of aboveground biomass of a non-native, invasive annual grass (Bromus tectorum L.) in the Great Basin, USA. Journal of Arid Environments. 2021
- Six central questions about biological invasions to which NEON data science is poised to contribute. Ecosphere. 2021
- A synthesis of the effects of cheatgrass invasion on US Great Basin carbon storage. Journal of Applied Ecology. 327-337. 2021
- FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001-2019). Remote Sensing. 2020
- y Social-Environmental Extremes: Rethinking Extraordinary Events as Outcomes of Interacting Biophysical and Social Systems. Earth's Future. 2020
- Anthropogenic and lightning-started fires are becoming larger and more frequent over a longer season length in the USA. Global Ecology and Biogeography. 668-681. 2020
- Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima. Ecological Applications. 2019
- Repeated fires reduce plant diversity in low-elevation Wyoming big sagebrush ecosystems (1984-2014). Ecosphere. 2019
- Human-started wildfires expand the fire niche across the United States. Proceedings of the National Academy of Sciences of USA. 2946-2951. 2017

Teaching

courses taught

GEOG 4023 - Advanced Quantitative Methods for Spatial Data
Primary Instructor - Spring 2021 / Spring 2022
Reviews fundamental statistical and quantitative modeling techniques and introduces more advanced statistical techniques widely used in geography today. Emphasizes geographic examples and spatial problems teaching hands-on skills in statistical programming. Topics covered include generalized linear models, spatial autocorrelation, spatial regression methods, and working with complex datasets. Same as GEOG 5023.
GEOG 5023 - Advanced Quantitative Methods for Spatial Data
Primary Instructor - Spring 2021 / Spring 2022
Reviews fundamental statistical and quantitative modeling techniques and introduces more advanced statistical techniques widely used in geography today. Emphasizes geographic examples and spatial problems teaching hands-on skills in statistical programming. Topics covered include generalized linear models, spatial autocorrelation, spatial regression methods, and working with complex datasets. Same as GEOG 4023.