Terrestrial lidar scanning reveals fine-scale linkages between microstructure and photosynthetic functioning of small-stature spruce trees at the forest-tundra ecotone

Maguire, Andrew J.; Eitel, Jan U. H.; Vierling, Lee A.; Johnson, Daniel M.; Griffin, Kevin L.; Boelman, Natalie T.; Jensen, Johanna; Greaves, Heather E.; Meddens, Arjan J. H.

doi:10.1016/j.agrformet.2019.02.019

Cited by 15 publications

(15 citation statements)

References 82 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Traditional ground-based repeat photography (e.g., [168,171,203,[246][247][248][249][250][251]), remote sensing techniques (oblique air photos, satellite images) and GIS data (e.g., [181,242,[252][253][254][255][256][257][258][259][260][261][262][263][264][265][266][267][268][269][270]) have effectively supported the analysis of current (and also of historical) treeline spatial patterns and temporal variation such as treeline fluctuations, especially in remote areas and areas difficult to access, such as steep and rugged mountain terrain [270,271]. These studies have also contributed to a more complex view of the driving factors and also underlined that factors and processes vary by scale of consideration (e.g., [159,180,184,205,272,273]) (Figure 4). Thus, in addition to the numerous studies on the physiological response of treeline trees to heat deficiency at the broader scales (global/zonal/regional), the influences of local topography (landforms) on treeline spatial patterns and associated ecological processes have been increasingly studied, particularly in Austria and Switzerland (e.g., [75,…”

Section: Treeline Fluctuationsmentioning

confidence: 94%

“…Regional and local variations, however, are more difficult to foresee, as thermal differences may occur on small scales, that are as great in magnitude as those that occur over thousands of kilometers in the lowland [115,145]. Exposure of mountain slopes and microtopography to incident solar radiation and prevailing winds is of major importance in this respect (e.g., [2,115,[146][147][148][149][150][151][152][153][154][155][156][157][158][159]). These factors and many additional physical and biotic disturbances (e.g., [134,160]) may prevent tree growth from reaching the temperature-controlled climatic treeline projected by models, as for example the model of [138].…”

Section: Treeline and Temperaturementioning

confidence: 99%

“…Forests 2019, 10, x FOR PEER REVIEW 7 of 31 to a more complex view of the driving factors and also underlined that factors and processes vary by scale of consideration (e.g., [159,180,184,205,272,273]) (Figure 4). Thus, in addition to the numerous studies on the physiological response of treeline trees to heat deficiency at the broader scales (global/zonal/regional), the influences of local topography (landforms) on treeline spatial patterns and associated ecological processes have been increasingly studied, particularly in Austria and Switzerland (e.g., [75,[274][275][276][277]) (Figure 4).…”

Section: Treeline Fluctuationsmentioning

confidence: 99%

See 2 more Smart Citations

Treeline Research—From the Roots of the Past to Present Time. A Review

Holtmeier¹,

Broll

2019

Forests

View full text Add to dashboard Cite

Elevational and polar treelines have been studied for more than two centuries. The aim of the present article is to highlight in retrospect the scope of treeline research, scientific approaches and hypotheses on treeline causation, its spatial structures and temporal change. Systematic treeline research dates back to the end of the 19th century. The abundance of global, regional, and local studies has provided a complex picture of the great variety and heterogeneity of both altitudinal and polar treelines. Modern treeline research started in the 1930s, with experimental field and laboratory studies on the trees’ physiological response to the treeline environment. During the following decades, researchers’ interest increasingly focused on the altitudinal and polar treeline dynamics to climate warming since the Little Ice Age. Since the 1970s interest in treeline dynamics again increased and has considerably intensified from the 1990s to today. At the same time, remote sensing techniques and GIS application have essentially supported previous analyses of treeline spatial patterns and temporal variation. Simultaneously, the modelling of treeline has been rapidly increasing, often related to the current treeline shift and and its implications for biodiversity, and the ecosystem function and services of high-elevation forests. It appears, that many seemingly ‘new ideas’ already originated many decades ago and just confirm what has been known for a long time. Suggestions for further research are outlined.

show abstract

Section: Treeline Fluctuationsmentioning

confidence: 94%

Section: Treeline and Temperaturementioning

confidence: 99%

Section: Treeline Fluctuationsmentioning

confidence: 99%

See 1 more Smart Citation

Treeline Research—From the Roots of the Past to Present Time. A Review

Holtmeier¹,

Broll

2019

Forests

View full text Add to dashboard Cite

show abstract

“…Vegetation cover has been used to map tropical forest canopy gaps and light environment [14,22,59], as well as local diversity of forest plants, fungi, lichens, and bryophytes [51]. Vegetation height, cover and structural complexity have been used to classify native species distribution in tropical savannahs and grasslands [34,46,60] and reveal fine-scale linkages between microstructure and photosynthetic functioning in tundra ecosystems [61]. These three components of ecosystem structure can also be applied to marine habitats [25] as habitat indicators for marine life [53].…”

Section: Compliance Of This Framework With the Ebv Definitionmentioning

confidence: 99%

Standardizing Ecosystem Morphological Traits from 3D Information Sources

Valbuena

O’Connor

Zellweger

et al. 2020

Trends in Ecology & Evolution

View full text Add to dashboard Cite

3D-imaging technologies provide measurements of terrestrial and aquatic ecosystems' structure, key for biodiversity studies. However, the practical use of these observations globally faces practical challenges. Firstly, available 3D data are geographical biased, with significant gaps in the tropics. Secondly, no data source provides, by itself, global coverage at a suitable temporal recurrence. Thus, global monitoring initiatives, such as assessment of essential biodiversity variables (EBVs), will necessarily have to involve the combination of disparate datasets. We propose a standardised framework of ecosystem morphological traitsheight, cover and structural complexitythat could enable monitoring of globally-consistent EBVs at regional scales, by flexibly integrating different information sourcessatellites, aircrafts, drones or ground data -, allowing global biodiversity targets relating to ecosystem structure to be monitored and regularly reported.

show abstract

“…To illustrate the capabilities of viewshed3d, we used TLS data acquired at northern treeline sites in Alaska, USA (see Maguire et al, 2019), to provide examples of the visual environment experienced by snowshoe hares Lepus americanus and their predators. We extracted three 15‐m radius plots from the TLS scene that differed in their 3D structural composition (Figure 3).…”

Section: Applicationsmentioning

confidence: 99%

viewshed3d: An r package for quantifying 3D visibility using terrestrial lidar data

2020

View full text Add to dashboard Cite

1. Visual information affects animal behaviour and fitness in diverse ways, but a lack of suitable methods to quantify visibility in three-dimensional (3D) environments limits applications of the concept of visibility in ecological research.2. The viewshed3d r package is dedicated to quantifying the visual environment from a single location or from a cumulation of viewpoints based on 3D point clouds acquired with terrestrial laser scanning. We present the entire workflow required to prepare the data and perform the visibility analyses in viewshed3d.3. This approach can help unlock the potential contributions of viewshed analyses to the emerging subdiscipline of 'viewshed ecology'. K E Y W O R D Sanimal behaviour, concealment, habitat structure, lidar data, predation risk, terrestrial laser scanner, viewshed, voxel How to cite this article: Lecigne B, Eitel JUH, Rachlow JL.viewshed3d: An r package for quantifying 3D visibility using terrestrial lidar data. Methods Ecol Evol. 2020;11:733-738.

show abstract

Terrestrial lidar scanning reveals fine-scale linkages between microstructure and photosynthetic functioning of small-stature spruce trees at the forest-tundra ecotone

Cited by 15 publications

References 82 publications

Treeline Research—From the Roots of the Past to Present Time. A Review

Treeline Research—From the Roots of the Past to Present Time. A Review

Standardizing Ecosystem Morphological Traits from 3D Information Sources

viewshed3d: An r package for quantifying 3D visibility using terrestrial lidar data

Contact Info

Product

Resources

About