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2020
DOI: 10.1111/jbi.13951
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Montane forest expansion at high elevations drives rapid reduction in non‐forest area, despite no change in mean forest elevation

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cited by 11 publications
(11 citation statements)
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References 53 publications
(123 reference statements)
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“…Although the overall mismatch at the upper range boundary showed no significant difference across all species, critically, there was substantial difference at an individual species level. Upward shifts were the most common response of high elevation species, which is consistent with high altitude trees generally being more temperature limited than trees from warmer areas (Way and Oren 2010), high elevation montane environments warming at a faster rate than lower elevations (Pepin et al 2015) and high elevation plant species likely to be competitively excluded under warmer temperatures (Alexander et al 2015, Morley et al 2020).…”
Section: Discussionmentioning
confidence: 72%
“…Although the overall mismatch at the upper range boundary showed no significant difference across all species, critically, there was substantial difference at an individual species level. Upward shifts were the most common response of high elevation species, which is consistent with high altitude trees generally being more temperature limited than trees from warmer areas (Way and Oren 2010), high elevation montane environments warming at a faster rate than lower elevations (Pepin et al 2015) and high elevation plant species likely to be competitively excluded under warmer temperatures (Alexander et al 2015, Morley et al 2020).…”
Section: Discussionmentioning
confidence: 72%
“…Smaller needles and higher SD were observed on east facing slopes, while larger needles were common to moderately steep slopes (~15–25°). High variability in vegetation across Taiwan’s mountain forests has been linked to slope and aspect differences, with east and south facing slopes experiencing the greatest gains in forest area between 1963 and 2016 (Morley et al, 2020), and moderately steep, east facing slopes experiencing the highest seedling recruitment (Greenwood et al, 2014, 2015). These differences are likely driven by variation in factors such as microclimate (Lembrechts & Lenoir, 2019) and soil moisture across different topographies (Körner, 2007; Lambrecht & Dawson, 2007), resulting in variations in stand development, composition and interspecific competition which likely further influence trait variation (Vilà‐Cabrera et al, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Smaller needles and higher SD were observed on east facing slopes, while larger needles were common to moderately steep slopes (~15-25°). High variability in vegetation across Taiwan's mountain forests has been linked to slope and aspect differences, with east and south facing slopes experiencing the greatest gains in forest area between 1963 and 2016 (Morley et al, 2020), and moderately steep, east facing slopes experiencing the highest seedling recruitment (Greenwood et al, 2014(Greenwood et al, , 2015.…”
Section: Variation In Functional Traits Across the Species Rangementioning
confidence: 99%
“…As such, the bunch-grassland habitats, called zacatonal in Mexico, may be squeezed elevationally between the advancing forest and bare rock, and appear to be disappearing at a rather fast rate, particularly on Tancítaro, La Malinche, and Tláloc volcanoes (Sánchez & López, 2003). Given the observed rates of reduction in areal coverage of bunch grassland, around 38.2% (range 46.8% increase to 78.7% decrease) over 1986-2018, or a 1.2% yearly loss ( a recent evaluation of treeline shifts in montane parts of Taiwan (Morley et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Remotely sensed data have been particularly useful in documenting global change at different spatial scales—for example, treeline changes have been studied using this tool at local (Singh et al 2012; Zhang et al 2009a) and continental or global (Seddon et al 2016) scales. Treeline shifts have been evaluated using remote‐sensing data in different parts of Asia (Luo & Dai, 2013; Morley et al 2020; Singh et al 2012; Zhang et al 2009b), America (Bader & Ruijten, 2008), and Europe (Wallentin et al 2008), although detection and differentiation of treelines represent a significant challenge of processing and inference (Hill et al 2007).…”
Section: Introductionmentioning
confidence: 99%