Specifying geospatial data product characteristics for forest and fuel management applications
Bibliographic Data
| ID | 15550658 |
|---|---|
| Authors | Arjan J H Meddens (0000-0001-6864-6068, Washington State University, corresponding author), Michelle M Steen-Adams (Washington State University Vancouver), Andrew T Hudak (0000-0001-7480-1458, Rocky Mountain Research Station), Francisco Mauro (0000-0002-7832-6268, Oregon State University), Paige M Byassee (Washington State University), Jacob L Strunk (0000-0002-5114-4843, US Forest Service), Jacob Strunk |
| Year | 2022 |
| Volume | 17 |
| Issue | 4 |
| Pages | 045025-045025 |
| Publication date | 2022-03-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ac5ee0 |
| OpenAlex | W4220806518 |
| Language | EN |
| Citations received | 2 |
| References cited | 29 |
One of the greatest challenges for land managers is to maintain a multitude of ecosystem services while reducing hazards posed by wildfires, insect outbreaks, and other disturbances accelerating due to climate change. In response to limited available resources and improved technical abilities, natural resource managers are increasingly using geospatial data to plan and evaluate their management actions. Large amounts of public resources are invested in research and development to improve geospatial datasets, yet there is limited knowledge about the specific data types and data characteristics that clients (e.g. land managers) prefer. Our overall objective was to investigate what geospatial data characteristics are preferred by natural resource professionals to monitor and manage forests and fuels across large landscapes. We performed an online survey and collected supplemental data at a subsequent workshop during the 2020 Operational Lidar Inventory meeting to investigate preferred data use and data characteristics of data users of the Pacific Northwest. Our online survey was completed by 69 respondents represented by managers and natural resource professionals from tribal/state, federal, academic, and industry/consulting entities. We found that metrics related to species composition, total biomass/timber volume, and vegetation height were the most preferred attributes, yet preference differed slightly by employment type. From the workshop we found that metric preferences depend upon which management priorities are central to the management application. There was preference for data with Landsat pixel-level (30 m) spatial resolution, annual temporal resolution, and at regional spatial extents. To maintain viable ecosystem services in the long term, it is important to understand the metrics and their data characteristics that are most useful. We conclude that our study is a useful way to understand (a) how to improve the data utility for the users (clients) and (b) the development and investment needs for the data developers and funders
Business · Data management · Database · Ecosystem · Ecosystem services · Environmental resource management · Geography · Geospatial analysis · Natural resource · Natural resource management · Remote sensing · Resource (disambiguation · Resource management (computing · Computer Science · Environmental Science · Fire effects on ecosystems · Remote Sensing and LiDAR Applications · Remote Sensing in Agriculture · Ecology
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Adaptive Ecosystem Management in the Pacific Northwest
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| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2024 (2) |
| Highly cited | No |