2013
DOI: 10.1080/17550874.2013.783142
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The relationship between soil water storage capacity and plant species diversity in high alpine vegetation

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Cited by 29 publications
(17 citation statements)
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“…A similar pattern was found in previous food science studies focusing on model molecules such as casein, lactoglobulin (Fanni et al, 1989;Curme et al, 1990) or on more heterogeneous material such as meat (Kabil et al, 2012). Plant litter's ability to adsorb water is a property of huge importance, enhancing habitat conditions for plants, micro invertebrates and microorganisms in litters and soils (Henry, 2012;Kammer et al, 2013). These microbial communities are responsible for the decomposition of organic matter and sustain major ecological processes such as biogeochemical cycles.…”
Section: Discussionsupporting
confidence: 49%
“…A similar pattern was found in previous food science studies focusing on model molecules such as casein, lactoglobulin (Fanni et al, 1989;Curme et al, 1990) or on more heterogeneous material such as meat (Kabil et al, 2012). Plant litter's ability to adsorb water is a property of huge importance, enhancing habitat conditions for plants, micro invertebrates and microorganisms in litters and soils (Henry, 2012;Kammer et al, 2013). These microbial communities are responsible for the decomposition of organic matter and sustain major ecological processes such as biogeochemical cycles.…”
Section: Discussionsupporting
confidence: 49%
“…LiDAR is a superior tool for mapping topography in detail (Southee et al, 2012). The benefits of LiDAR are based on its capacity to detect minor terrain features, for instance hill tops, ridges, small depressions, and meltwater outlets, which are key determinants of fine-scale soil moisture variation (Engstrom et al, 2005;Kammer et al, 2013; but see also Lookingbill and Urban, 2004). Thus, high-resolution LiDAR based soil moisture surrogates are more accurate (Southee et al, 2012;Leempoel et al, 2015) compared to coarser resolution surrogates, which are based on conventional digital elevation models instead of LiDAR data (Murphy et al, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…The role of soil moisture is often underestimated in studies regarding high-latitude and high-alpine landscapes, due to the lack of data (Kammer et al, 2013;le Roux et al, 2013;Myers-Smith et al, 2015). Spatially extensive soil moisture measurements are challenging, since they are time-consuming, expensive, and hard to obtain (Famiglietti et al, 2008;Hajek et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…These results match with physiological measurements which show that arctic‐alpine species are well adapted to variation in soil moisture (Johnson & Caldwell, ; Oberbauer & Billings, ; Fletcher et al ., ). Soil water storage capacity may also be important for some vegetation properties (specifically diversity; Kammer et al ., ), and this more logistically demanding measurement could be considered as additional measure of soil moisture availability. As models of species richness and individual species occurrences accounted for variation in three other important abiotic variables (to avoid spurious relationships; le Roux et al ., ), these results provide a rigorous statistical assessment of the role of soil moisture.…”
Section: Discussionmentioning
confidence: 99%
“…As soil moisture is the hydrological variable most proximally linked to plant performance during the growing season (Isard, 1986;Weltzin et al, 2003), research explicitly quantifying soil moisture may offer a useful perspective on the influence of changes in hydrology on vegetation (see also Kammer et al, 2013). However, observational studies focusing on spatial variation in soil conditions have relatively rarely directly quantified soil moisture (Crimmins et al, 2011;H ajek et al, 2013;Piedallu et al, 2013), with most arctic and alpine studies using subjective 'wetness' classifications or proxies of soil moisture, including topographic position (e.g.…”
Section: Introductionmentioning
confidence: 99%