The Forest Service: A Study In Public Land Management. By Glen O. Robinson. (Baltimore: Johns Hopkins University Press, for Resources for the Future, 1975. xv + 337 pp. Map, notes, charts, appendixes, index. $16.95. Paper. $4.95)

1976 ◽  
Vol 20 (3) ◽  
pp. 158-159
Author(s):  
Samuel T. Dana
1977 ◽  
Vol 30 (1) ◽  
pp. 79
Author(s):  
George L. Burnett ◽  
Glen O. Robinson

1976 ◽  
Vol 42 (4) ◽  
pp. 598
Author(s):  
John Hebron Moore ◽  
Glen O. Robinson

1976 ◽  
Vol 40 (4) ◽  
pp. 801
Author(s):  
Peter Croskery ◽  
G. O. Robinson

1976 ◽  
Vol 1976 (2) ◽  
pp. 477
Author(s):  
A. Dan Tarlock ◽  
Glen O. Robinson

1976 ◽  
Vol 81 (5) ◽  
pp. 1271
Author(s):  
Vivian Wiser ◽  
Glen O. Robinson

Diversity ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 293
Author(s):  
Sara Souther ◽  
Vincent Randall ◽  
Nanebah Lyndon

Federal land management agencies in the US are tasked with maintaining the ecological integrity of over 2 million km2 of land for myriad public uses. Citizen science, operating at the nexus of science, education, and outreach, offers unique benefits to address socio-ecological questions and problems, and thus may offer novel opportunities to support the complex mission of public land managers. Here, we use a case study of an iNaturalist program, the Tribal Nations Botanical Research Collaborative (TNBRC), to examine the use of citizen science programs in public land management. The TNBRC collected 2030 observations of 34 plant species across the project area, while offering learning opportunities for participants. Using occurrence data, we examined observational trends through time and identified five species with 50 or fewer digital observations to investigate as species of possible conservation concern. We compared predictive outcomes of habitat suitability models built using citizen science data and Forest Inventory and Analysis (FIA) data. Models exhibited high agreement, identifying the same underlying predictors of species occurrence and, 95% of the time, identifying the same pixels as suitable habitat. Actions such as staff training on data use and interpretation could enhance integration of citizen science in Federal land management.


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