干旱区生态环境知识资源中心(Arid): Spatial Imaging and Screening for Regime Shifts

Arid

DOI	10.3389/fevo.2019.00407
	Spatial Imaging and Screening for Regime Shifts
	Uden, Daniel R.1,2; Twidwell, Dirac 1,3; Allen, Craig R.2,3; Jones, Matthew O.4; Naugle, David E.4; Maestas, Jeremy D.5; Allred, Brady W.4
通讯作者	Uden, Daniel R.
来源期刊	FRONTIERS IN ECOLOGY AND EVOLUTION
ISSN	2296-701X
出版年	2019
卷号	7
英文摘要	Screening is a strategy for detecting undesirable change prior to manifestation of symptoms or adverse effects. Although the well-recognized utility of screening makes it commonplace in medicine, it has yet to be implemented in ecosystem management. Ecosystem management is in an era of diagnosis and treatment of undesirable change, and as a result, remains more reactive than proactive and unable to effectively deal with today's plethora of non-stationary conditions. In this paper, we introduce spatial imaging-based screening to ecology. We link advancements in spatial resilience theory, data, and technological and computational capabilities and power to detect regime shifts (i.e., vegetation state transitions) that are known to be detrimental to human well-being and ecosystem service delivery. With a state-of-the-art landcover dataset and freely available, cloud-based, geospatial computing platform, we screen for spatial signals of the three most iconic vegetation transitions studied in western USA rangelands: (1) erosion and desertification; (2) woody encroachment; and (3) annual exotic grass invasion. For a series of locations that differ in ecological complexity and geographic extent, we answer the following questions: (1) Which regime shift is expected or of greatest concern? (2) Can we detect a signal associated with the expected regime shift? (3) If detected, is the signal transient or persistent over time? (4) If detected and persistent, is the transition signal stationary or non-stationary over time? (5) What other signals do we detect? Our approach reveals a powerful and flexible methodology, whereby professionals can use spatial imaging to verify the occurrence of alternative vegetation regimes, image the spatial boundaries separating regimes, track the magnitude and direction of regime shift signals, differentiate persistent and stationary transition signals that warrant continued screening from more concerning persistent and non-stationary transition signals, and leverage disciplinary strength and resources for more targeted diagnostic testing (e.g., inventory and monitoring) and treatment (e.g., management) of regime shifts. While the rapid screening approach used here can continue to be implemented and refined for rangelands, it has broader implications and can be adapted to other ecological systems to revolutionize the information space needed to better manage critical transitions in nature.
英文关键词	diagnosis early warning indicator Google Earth Engine proactive management rangeland analysis platform resilience spatial resilience treatment
类型	Article
语种	英语
国家	USA
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000496956800001
WOS关键词	COVARIANCE ; RESILIENCE ; MANAGEMENT ; COVER ; ASSOCIATION ; DISTURBANCE ; RANGELANDS ; INCREASES ; PATTERNS ; SYSTEM
WOS类目	Ecology
WOS研究方向	Environmental Sciences & Ecology
EI主题词	2019-10-29
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310380
作者单位	1.Univ Nebraska, Dept Agron & Hort, Lincoln, NE 68588 USA; 2.Univ Nebraska, Sch Nat Resources, Lincoln, NE 68588 USA; 3.Univ Nebraska, Ctr Resilience Agr Working Landscapes, Lincoln, NE USA; 4.Univ Montana, WA Franke Coll Forestry & Conservat, Missoula, MT 59812 USA; 5.USDA, Nat Resources Conservat Serv, Portland, OR USA
推荐引用方式 GB/T 7714	Uden, Daniel R.,Twidwell, Dirac,Allen, Craig R.,et al. Spatial Imaging and Screening for Regime Shifts[J],2019,7.
APA	Uden, Daniel R..,Twidwell, Dirac.,Allen, Craig R..,Jones, Matthew O..,Naugle, David E..,...&Allred, Brady W..(2019).Spatial Imaging and Screening for Regime Shifts.FRONTIERS IN ECOLOGY AND EVOLUTION,7.
MLA	Uden, Daniel R.,et al."Spatial Imaging and Screening for Regime Shifts".FRONTIERS IN ECOLOGY AND EVOLUTION 7(2019).