| Title |
Climate Zone Delineation: Evaluating Approaches for Use in Natural Resource Management
|
|---|---|
| Published in |
Environmental Management, March 2012
|
| DOI | 10.1007/s00267-012-9827-4 |
| Pubmed ID | |
| Authors |
Michael T. Tercek, Stephen T. Gray, Christopher M. Nicholson |
| Abstract |
Recent efforts by the United States Department of the Interior (DOI) have the potential to make climate zones the basic geographic units guiding monitoring and resource management programs in the western U.S. We evaluated a new National Park Service approach for delineating climate zones that will likely be a model for other DOI agencies. Using the test case of the Greater Yellowstone Area in Wyoming, Montana and Idaho, we conducted three separate analyses, each based on a different dataset. Cluster analysis of 1971-2000 temperature and precipitation normals grouped weather stations according to similarities in seasonal patterns. Principal Components Analysis (PCAs) of 1895-2008 monthly data grouped stations by similarities in long-term variability. Finally, an analysis of snow data further subdivided the zones defined by the other two analyses. The climate zones produced by the cluster analysis and the PCAs were roughly similar to each other, but the differences were significant. The two sets of zones may be useful for different applications. For example, studies that analyze links between climate patterns and the demography of threatened species should focus on the results of the PCAs. The broad similarity among results produced by the different approaches supported the application of these zones in climate-related monitoring and analysis. However, since choices in data and methodology can affect the details of maps depicting zone boundaries, there are practical limitations to their use. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 3% |
| Mexico | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 31 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 29% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 5 | 15% |
| Lecturer | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 9 | 26% |
| Agricultural and Biological Sciences | 6 | 18% |
| Social Sciences | 4 | 12% |
| Engineering | 4 | 12% |
| Decision Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2012.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Environmental Management
#1,476
of 1,914 outputs
Outputs of similar age
#110,621
of 169,059 outputs
Outputs of similar age from Environmental Management
#14
of 23 outputs
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