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Land Management Research Program

The Land Management Research Program conducts research to improve the effectiveness of land management and inform restoration of priority ecosystems on millions of acres including public lands such as National Parks, refuges, and other critical landscapes that support the biodiversity of fish, wildlife, and plant species, as well as thriving economies.

Publications

Carbon isotope trends across a century of herbarium specimens suggest CO2 fertilization of C4 grasses.

Increasing atmospheric CO2 is changing the dynamics of tropical savanna vegetation. C3 trees and grasses are known to experience CO2 fertilization, whereas responses to CO2 by C4 grasses are more ambiguous.Here, we sample stable carbon isotope trends in herbarium collections of South African C4 and C3 grasses to reconstruct 13C discrimination.We found that C3 grasses showed no trends in 13C discri
Authors
Isa del Toro, Madelon Florence Case, Allison Karp, Jasper Slingsby, A. Carla Staver

Structural heterogeneity predicts ecological resistance and resilience to wildfire in arid shrublands

ContextDynamic feedbacks between physical structure and ecological function drive ecosystem productivity, resilience, and biodiversity maintenance. Detailed maps of canopy structure enable comprehensive evaluations of structure–function relationships. However, these relationships are scale-dependent, and identifying relevant spatial scales to link structure to function remains challenging.Objectiv
Authors
Andrii Zaiats, Megan E Cattau, David Pilliod, Rongsong Liu, Patricia Kaye T. Dumandan, Ahmad Hojatimalekshah, Donna M. Delparte, Trevor Caughlin

Propensity score matching mitigates risk of faulty inferences in observational studies of effectiveness of restoration trials

Determining effectiveness of restoration treatments is an important requirement of adaptive management, but it can be non-trivial where only portions of large and heterogeneous landscapes of concern can be treated and sampled. Bias and non-randomness in the spatial deployment of treatment and thus sampling is nearly unavoidable in the data available for large-scale management trials, and the bioph
Authors
Chad Raymond Kluender, Matthew Germino, Christopher A Anthony

Science

Evaluating Cultural Resource Vulnerability To Fires And Post-Fire Impacts

Cultural resources are tangible and intangible elements connected to the physical presence, practices, cultural identity, and/or spirituality of past and present societies.
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Evaluating Cultural Resource Vulnerability To Fires And Post-Fire Impacts

Cultural resources are tangible and intangible elements connected to the physical presence, practices, cultural identity, and/or spirituality of past and present societies.
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Advancing Fire Behavior Modeling For Post-Fire Hazards Assessments

Fire behavior is a complex and highly variable process in both space and time. The interdisciplinary PHIRE team includes USGS scientists from across the Mission Areas, research collaborators from universities and federal agencies, and federal, state, and tribal practitioners and stakeholders.
link

Advancing Fire Behavior Modeling For Post-Fire Hazards Assessments

Fire behavior is a complex and highly variable process in both space and time. The interdisciplinary PHIRE team includes USGS scientists from across the Mission Areas, research collaborators from universities and federal agencies, and federal, state, and tribal practitioners and stakeholders.
Learn More

Characterizing Post-Fire Burn Severity And Vegetation Recovery At High Spatial And Temporal Resolutions Using Basal Area Measurements

USGS scientists are studying the effects of wildfires on forests and developing models to predict forest recovery potential after fires. They have collected and analyzed data from several recent California wildfires, including the Dixie, Caldor, KNP Complex, Carr, and Mosquito fires. Researchers are using the data to analyze changes in basal area (the cross-sectional area of tree trunks) to...
link

Characterizing Post-Fire Burn Severity And Vegetation Recovery At High Spatial And Temporal Resolutions Using Basal Area Measurements

USGS scientists are studying the effects of wildfires on forests and developing models to predict forest recovery potential after fires. They have collected and analyzed data from several recent California wildfires, including the Dixie, Caldor, KNP Complex, Carr, and Mosquito fires. Researchers are using the data to analyze changes in basal area (the cross-sectional area of tree trunks) to...
Learn More