Matthew B Russell
Biographic Data
| ID | 6705794 |
|---|---|
| NAME | Matthew B Russell |
| GIVEN NAMES | Matthew B |
| FAMILY NAME | Russell |
| SIGNATURE | RUSSELL M B |
| AFFILIATIONS | University of Minnesota |
| ORCID | 0000-0002-7044-9650 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Calibrating a regional growth and yield model for statewide forest carbon assessment in four common forest types in Minnesota, USA
Decadal dead wood biomass dynamics of coterminous US forests
Due to global change, temperate forests are expected to face growing threats to forest health (e.g. insects/disease) and increasing probabilities of severe disturbances (e.g. wildfires), which may result in amplified tree mortality against a backdrop of a changing climate and associated ecosystem/atmospheric feedbacks (i.e. increased rates of dead wood decay/combustion). Despite these expectations, we lack a fundamental understanding of current f…
Evaluating the influence of spatial resolution of Landsat predictors on the accuracy of biomass models for large-area estimation across the eastern USA
Aboveground biomass (AGB) estimates for regional-scale forest planning have become cost-effective with the free access to satellite data from sensors such as Landsat and MODIS. However, the accuracy of AGB predictions based on passive optical data depends on spatial resolution and spatial extent of target area as fine resolution (small pixels) data are associated with smaller coverage and longer repeat cycles compared to coarse resolution data. T…
Estimating aboveground live understory vegetation carbon in the United States
Despite the key role that understory vegetation plays in ecosystems and the terrestrial carbon cycle, it is often overlooked and has few quantitative measurements, especially at national scales. To understand the contribution of understory carbon to the United States (US) carbon budget, we developed an approach that relies on field measurements of understory vegetation cover and height on US Department of Agriculture Forest Service, Forest Invent…
US consumers’ willingness to pay for green electricity
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US consumers’ willingness to pay for green electricity
Estimating aboveground live understory vegetation carbon in the United States
Despite the key role that understory vegetation plays in ecosystems and the terrestrial carbon cycle, it is often overlooked and has few quantitative measurements, especially at national scales. To understand the contribution of understory carbon to the United States (US) carbon budget, we developed an approach that relies on field measurements of understory vegetation cover and height on US Department of Agriculture Forest Service, Forest Invent…
Evaluating the influence of spatial resolution of Landsat predictors on the accuracy of biomass models for large-area estimation across the eastern USA
Aboveground biomass (AGB) estimates for regional-scale forest planning have become cost-effective with the free access to satellite data from sensors such as Landsat and MODIS. However, the accuracy of AGB predictions based on passive optical data depends on spatial resolution and spatial extent of target area as fine resolution (small pixels) data are associated with smaller coverage and longer repeat cycles compared to coarse resolution data. T…
Decadal dead wood biomass dynamics of coterminous US forests
Due to global change, temperate forests are expected to face growing threats to forest health (e.g. insects/disease) and increasing probabilities of severe disturbances (e.g. wildfires), which may result in amplified tree mortality against a backdrop of a changing climate and associated ecosystem/atmospheric feedbacks (i.e. increased rates of dead wood decay/combustion). Despite these expectations, we lack a fundamental understanding of current f…
Calibrating a regional growth and yield model for statewide forest carbon assessment in four common forest types in Minnesota, USA
Biomass (ecology (3 works) · Environmental Science (3 works) · Forest ecology and management (3 works) · Forest Management and Policy (3 works) · Remote Sensing and LiDAR Applications (3 works) · Biology (2 works) · Ecology (2 works) · Ecosystem (2 works) · Forest management (2 works) · Geography (2 works)