Found 63 datasets matching "post-fire recovery".
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This project has two goals: Goal 1: The goal of this project is to conduct a statistically rigorous study of occupancy to determine the post-fire recovery of California Gnatcatchers and coastal...
Search relevance: 193.48 | Views last month: 0 -
Post-fire shifts in vegetation composition will have broad ecological impacts. However, information characterizing post-fire recovery patterns and their drivers are lacking over large spatial...
Search relevance: 165.55 | Views last month: 0 -
Interpretations of post-fire condition and rates of vegetation recovery can influence management priorities, actions, and perception of latent risks from landslides and floods. In this study, we...
Search relevance: 160.19 | Views last month: 0 -
Data presented are results of surveys for California Gnatcatchers and vegetation sampling conducted in 2020 to address two inter-related questions: (1) How have gnatcatchers and their habitat...
Search relevance: 145.75 | Views last month: 0 -
Data presented are results of surveys for California Gnatcatchers and vegetation sampling conducted in 2024 to address two inter-related questions: (1) How have gnatcatchers and their habitat...
Search relevance: 144.58 | Views last month: 0 -
Data presented are results of surveys for California Gnatcatchers and vegetation sampling conducted in 2015 and 2016 to address two inter-related questions: (1) How have gnatcatchers and their...
Search relevance: 140.06 | Views last month: 0 -
This dataset provides site moisture, soil organic layer thickness, soil organic carbon, nonvascular plant functional group, stand dominance, ecozone, time-after-fire, jack pine proportion, and...
Search relevance: 92.88 | Views last month: 0 -
Landsat Normalised Difference Vegetation Index (NDVI) is commonly used to monitor post-fire green-up; however, most studies do not distinguish new growth of conifer from deciduous or herbaceous...
Search relevance: 67.07 | Views last month: 0 -
The southeastern United States experiences frequent wild and prescribed fire activity. Mapped burn severity products in the southeastern U.S. face challenges accurately characterizing fire effects...
Search relevance: 63.87 | Views last month: 1 -
Accurate mapping of rangeland burn severity is the first step towards managing and mitigating post-fire consequences, but the spatial resolution of freely available, remotely-sensed products is...
Search relevance: 63.53 | Views last month: 1 -
Researchers from the U.S. Geological Survey (USGS) conducted a long-term, coastal morphologic-change study at Fire Island, New York, prior to and after Hurricane Sandy impacted the area in October...
Search relevance: 61.34 | Views last month: 0 -
Here, we present changes in greater sage-grouse nesting habitat suitability that represents habitat before a simulated fire event and post-fire event after simulating the planting of sagebrush....
Search relevance: 61.24 | Views last month: 0 -
Here, we present changes in greater sage-grouse nesting habitat suitability that represents habitat before a simulated fire event and post-fire event after simulating the planting of sagebrush....
Search relevance: 61.24 | Views last month: 0 -
This data set provides three data files in text format (.txt). One file contains monthly biomass measurements and net primary productivity (NPP) estimates made between June 1984 and December 1994...
Search relevance: 59.11 | Views last month: 0 -
We developed a framework that strategically targets burned areas for restoration actions (e.g., seeding or planting sagebrush) that have the greatest potential to positively benefit Greater...
Search relevance: 57.24 | Views last month: 0 -
The variability of vegetation in rangelands can be over generalized in spatial representation and vegetation types mapped by moderate resolution vegetation maps. A high resolution (<1 meter), site...
Search relevance: 56.16 | Views last month: 1 -
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
Search relevance: 55.77 | Views last month: 0 -
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
Search relevance: 55.77 | Views last month: 0 -
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
Search relevance: 55.77 | Views last month: 0 -
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The...
Search relevance: 55.76 | Views last month: 0
