Characterizing Western Juniper Expansion via a Fusion of Landsat 5 Thematic Mapper and Lidar Data

Sankey, Temuulen Tsagaan; Glenn, Nancy F.; Ehinger, Sara; Boehm, Alex R.; Hardegree, Stuart P.

doi:10.2111/rem-d-09-00181.1

Cited by 36 publications

(33 citation statements)

References 37 publications

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“…The specific site for this study is near one of only three areas in RCEW that was described as ‘juniper cover’ during the original vegetation survey in 1965 (Seyfried et al ., ). The total juniper cover in RCEW totaled 24.5 ha in 1965 but has increased tenfold across the watershed (Sankey et al ., ). Our study site is located at 1940 m above m.s.l.…”

Section: Methodsmentioning

confidence: 99%

Surface water input from snowmelt and rain throughfall in western juniper: potential impacts of climate change and shifts in semi‐arid vegetation

Niemeyer

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Seyfried

et al. 2016

Hydrological Processes

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Abstract:In the western USA, shifts from snow to rain precipitation regimes and increases in western juniper cover in shrub-dominated landscapes can alter surface water input via changes in snowmelt and throughfall. To better understand how shifts in both precipitation and semi-arid vegetation cover alter above-ground hydrological processes, we assessed how rain interception differs between snow and rain surface water input; how western juniper alters snowpack dynamics; and how these above-ground processes differ across western juniper, mountain big sagebrush and low sagebrush plant communities. We collected continuous surface water input with four large lysimeters, interspace and below-canopy snow depth data and conducted periodic snow surveys for two consecutive water years (2013 and 2014). The ratio of interspace to below-canopy surface water input was greater for snow relative to rain events, averaging 79.4% and 54.8%, respectively. The greater surface water input ratio for snow is in part due to increased deposition of redistributed snow under the canopy. We simulated above-ground energy and water fluxes in western juniper, low sagebrush and mountain big sagebrush for two 8-year periods under current and projected mid-21st century warmer temperatures with the Simultaneous Heat and Water (SHAW) model. Juniper compared with low and mountain sagebrush reduced surface water input by an average of 138 mm or 24% of the total site water budget. Conversely, warming temperatures reduced surface water input by only an average of 14 mm across the three vegetation types. The future (warmer) simulations resulted in earlier snow disappearance and surface water input by 51 and 45 days, respectively, across juniper, low sagebrush and mountain sagebrush. Information from this study can help land managers in the sagebrush steppe understand how both shifts in climate and semi-arid vegetation will alter fundamental hydrological processes.

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Section: Methodsmentioning

confidence: 99%

Surface water input from snowmelt and rain throughfall in western juniper: potential impacts of climate change and shifts in semi‐arid vegetation

Niemeyer

Link

Seyfried

et al. 2016

Hydrological Processes

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“…Most problems come from the DGM generation process and arise because ground and canopy hits are very difficult to separate for this type of vegetation. Despite corrections made on data (DGM, CHM, slope, sample radius, point density), ALS data showed an underestimation for shrub height, caused mainly by insufficient point penetration in the canopy, low probability of detection of the top, errors in detection of the threshold needed to trigger a return, and ground overestimation in areas where the canopy is too dense, preventing return of a suitable number of samples from the lower layer (Sankey et al 2010;Sankey and Bond 2011). This result shows the need to have algorithms that minimize DGM errors, especially for lower vegetation and high slopes areas that are usually ignored by conventional ground filter algorithms (Estornell et al 2011a;Glenn et al 2011).…”

Section: Surface Canopy Height (Sch)mentioning

confidence: 99%

Forestry Applications of Airborne Laser Scanning

Maltamo¹,

Næsset²,

Vauhkonen³

2014

Managing Forest Ecosystems

272

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Aims & Scope:Well-managed forests and woodlands are a renewable resource, producing essential raw material with minimum waste and energy use. Rich in habitat and species diversity, forests may contribute to increased ecosystem stability. They can absorb the effects of unwanted deposition and other disturbances and protect neighbouring ecosystems by maintaining stable nutrient and energy cycles and by preventing soil degradation and erosion. They provide much-needed recreation and their continued existence contributes to stabilizing rural communities.Forests are managed for timber production and species, habitat and process conservation. A subtle shift from multiple-use management to ecosystems management is being observed and the new ecological perspective of multi-functional forest management is based on the principles of ecosystem diversity, stability and elasticity, and the dynamic equilibrium of primary and secondary production.Making full use of new technology is one of the challenges facing forest management today. Resource information must be obtained with a limited budget. This requires better timing of resource assessment activities and improved use of multiple data sources. Sound ecosystems management, like any other management activity, relies on effective forecasting and operational control.The aim of the book series Managing Forest Ecosystems is to present state-of-the-art research results relating to the practice of forest management. Contributions are solicited from prominent authors. Each reference book, monograph or proceedings volume will be focused to deal with a specific context. Typical issues of the series are: resource assessment techniques, evaluating sustainability for even-aged and uneven-aged forests, multi-objective management, predicting forest development, optimizing forest management, biodiversity management and monitoring, risk assessment and economic analysis. This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher's location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names...

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“…Light detection and ranging (LiDAR) remote sensing, also known as laser altimetry, provides direct estimates of vegetation height that complement spectral data used for canopy cover estimation (Mundt et al, 2006;Sankey et al, 2010). However, the low-height (typically < 2 m tall) and sparse cover of semiarid shrub-steppe communities present challenges for LiDAR data retrieval .…”

Section: Introductionmentioning

confidence: 99%