Literature DB >> 32742284

Spaceborne potential for examining taiga-tundra ecotone form and vulnerability.

Paul M Montesano1,2, Guoqing Sun2,3, Ralph O Dubayah3, K Jon Ranson2.   

Abstract

In the taiga-tundra ecotone (TTE), site-dependent forest structure characteristics can influence the subtle and heterogeneous structural changes that occur across the broad circumpolar extent. Such changes may be related to ecotone form, described by the horizontal and vertical patterns of forest structure (e.g., tree cover, density and height) within TTE forest patches, driven by local site conditions, and linked to ecotone dynamics. The unique circumstance of subtle, variable and widespread vegetation change warrants the application of spaceborne data including high-resolution (< 5m) spaceborne imagery (HRSI) across broad scales for examining TTE form and predicting dynamics. This study analyzes forest structure at the patch-scale in the TTE to provide a means to examine both vertical and horizontal components of ecotone form. We demonstrate the potential of spaceborne data for integrating forest height and density to assess TTE form at the scale of forest patches across the circumpolar biome by (1) mapping forest patches in study sites along the TTE in northern Siberia with a multi-resolution suite of spaceborne data, and (2) examining the uncertainty of forest patch height from this suite of data across sites of primarily diffuse TTE forms. Results demonstrate the opportunities for improving patch-scale spaceborne estimates of forest height, the vertical component of TTE form, with HRSI. The distribution of relative maximum height uncertainty based on prediction intervals is centered at ~40%, constraining the use of height for discerning differences in forest patches. We discuss this uncertainty in light of a conceptual model of general ecotone forms, and highlight how the uncertainty of spaceborne estimates of height can contribute to the uncertainty in identifying TTE forms. A focus on reducing the uncertainty of height estimates in forest patches may improve depiction of TTE form, which may help explain variable forest responses in the TTE to climate change and the vulnerability of portions of the TTE to forest structure change.

Entities:  

Year:  2016        PMID: 32742284      PMCID: PMC7394343          DOI: 10.5194/bg-13-3847-2016

Source DB:  PubMed          Journal:  Biogeosciences        ISSN: 1726-4170            Impact factor:   4.295


  7 in total

Review 1.  The tundra-taiga interface and its dynamics: concepts and applications.

Authors:  Terry V Callaghan; Ben R Werkman; Robert M M Crawford
Journal:  Ambio       Date:  2002-08       Impact factor: 5.129

Review 2.  The dynamics of the tundra-taiga boundary: an overview and suggested coordinated and integrated approach to research.

Authors:  Terry V Callaghan; Robert M M Crawford; Matti Eronen; Annika Hofgaard; Serge Payette; W Gareth Rees; Oddvar Skre; Bjartmar Sveinbjörnsson; Tatiana K Vlassova; Ben R Werkman
Journal:  Ambio       Date:  2002-08       Impact factor: 5.129

3.  High-resolution global maps of 21st-century forest cover change.

Authors:  M C Hansen; P V Potapov; R Moore; M Hancher; S A Turubanova; A Tyukavina; D Thau; S V Stehman; S J Goetz; T R Loveland; A Kommareddy; A Egorov; L Chini; C O Justice; J R G Townshend
Journal:  Science       Date:  2013-11-15       Impact factor: 47.728

4.  Vegetation controls on northern high latitude snow-albedo feedback: observations and CMIP5 model simulations.

Authors:  Michael M Loranty; Logan T Berner; Scott J Goetz; Yufang Jin; James T Randerson
Journal:  Glob Chang Biol       Date:  2013-12-11       Impact factor: 10.863

Review 5.  Forests and climate change: forcings, feedbacks, and the climate benefits of forests.

Authors:  Gordon B Bonan
Journal:  Science       Date:  2008-06-13       Impact factor: 47.728

6.  Are treelines advancing? A global meta-analysis of treeline response to climate warming.

Authors:  Melanie A Harsch; Philip E Hulme; Matt S McGlone; Richard P Duncan
Journal:  Ecol Lett       Date:  2009-08-13       Impact factor: 9.492

7.  Image texture predicts avian density and species richness.

Authors:  Eric M Wood; Anna M Pidgeon; Volker C Radeloff; Nicholas S Keuler
Journal:  PLoS One       Date:  2013-05-10       Impact factor: 3.240

  7 in total
  1 in total

1.  The use of sun elevation angle for stereogrammetric boreal forest height in open canopies.

Authors:  Paul M Montesano; Christopher Neigh; Guoqing Sun; Laura Duncanson; Jamon Van Den Hoek; K Jon Ranson
Journal:  Remote Sens Environ       Date:  2017-05-07       Impact factor: 10.164

  1 in total

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