Weather Tools for Retrospective Assessment of Restoration Outcomes
Author
Moffet, C.A.Hardegree, S.P.
Abatzoglou, J.T.
Hegewisch, K.C.
Reuter, R.R.
Sheley, R.L.
Brunson, M.W.
Flerchinger, G.N.
Boehm, A.R.
Issue Date
2019-03
Metadata
Show full item recordCitation
Corey A. Moffet, Stuart P. Hardegree, John T. Abatzoglou, Katherine C. Hegewisch, R. Ryan Reuter, Roger L. Sheley, M.W. Brunson, G.N. Flerchinger, and Alex R. Boehm "Weather Tools for Retrospective Assessment of Restoration Outcomes," Rangeland Ecology and Management 72(2), 225-229, (5 March 2019). https://doi.org/10.1016/j.rama.2018.10.011Publisher
Elsevier Inc.Journal
Rangeland Ecology & ManagementAdditional Links
https://rangelands.org/Abstract
Rangeland seeding practices in the Intermountain western United States are predominantly implemented in the year immediately following wildfire for the purposes of Emergency Stabilization and Rehabilitation (ESR). This necessarily links restoration and rehabilitation outcomes to the probability of a single year providing sufficiently favorable microclimatic conditions for desirable plant establishment. Field research studies in rangeland restoration are also typically of limited duration, and published results may not represent the full spectrum of conditions likely to be experienced at a given site. We propose that location-specific and temporal weather analysis may enhance the interpretation of historical planting data, support expanded inferences from short-term field studies, and facilitate meta-analysis of diverse field studies in rangeland restoration. We describe access and use of new databases and tools that can be used to characterize and rank weather and soil-microclimatic variables and suggest some standard graphs and weather metrics to establish a longer-term perspective for the interpretation of rangeland restoration outcomes. Tools of this type may also be useful in the interpretation of a wide range of agricultural and natural resource applications that are driven by similar weather inputs, particularly in arid and semiarid systems that exhibit high annual and seasonal variability in precipitation and temperature. © 2018Type
Articletext
Language
enISSN
1550-7424EISSN
1551-5028ae974a485f413a2113503eed53cd6c53
10.1016/j.rama.2018.10.011
Scopus Count
Except where otherwise noted, this item's license is described as This article has been contributed to by US Government employees and their work is in the public domain in the USA. Published by Elsevier Inc. on behalf of The Society for Range Management.