Growth response of temperate mountain grasslands to inter-annual variations in snow cover duration
A remote sensing approach is used to examine the direct and indirect effects of snow cover duration and weather conditions on the growth response of mountain grasslands located above the tree line in the French Alps. Time-integrated Normalized Difference Vegetation Index (NDVI<sub>int</sub&...
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doaj-833c6147c8954b43bc527dd8412eb80d2020-11-24T22:40:47ZengCopernicus PublicationsBiogeosciences1726-41701726-41892015-06-0112123885389710.5194/bg-12-3885-2015Growth response of temperate mountain grasslands to inter-annual variations in snow cover durationP. Choler0Univ. Grenoble Alpes, LECA, 38000 Grenoble, FranceA remote sensing approach is used to examine the direct and indirect effects of snow cover duration and weather conditions on the growth response of mountain grasslands located above the tree line in the French Alps. Time-integrated Normalized Difference Vegetation Index (NDVI<sub>int</sub>), used as a surrogate for aboveground primary productivity, and snow cover duration were derived from a 13-year long time series of the Moderate-resolution Imaging Spectroradiometer (MODIS). A regional-scale meteorological forcing that accounted for topographical effects was provided by the SAFRAN–CROCUS–MEPRA model chain. A hierarchical path analysis was developed to analyze the multivariate causal relationships between forcing variables and proxies of primary productivity. Inter-annual variations in primary productivity were primarily governed by year-to-year variations in the length of the snow-free period and to a much lesser extent by temperature and precipitation during the growing season. A prolonged snow cover reduces the number and magnitude of frost events during the initial growth period but this has a negligible impact on NDVI<sub>int</sub> as compared to the strong negative effect of a delayed snow melting. The maximum NDVI slightly responded to increased summer precipitation and temperature but the impact on productivity was weak. The period spanning from peak standing biomass to the first snowfall accounted for two-thirds of NDVI<sub>int</sub> and this explained the high sensitivity of NDVI<sub>int</sub> to autumn temperature and autumn rainfall that control the timing of the first snowfall. The ability of mountain plants to maintain green tissues during the whole snow-free period along with the relatively low responsiveness of peak standing biomass to summer meteorological conditions led to the conclusion that the length of the snow-free period is the primary driver of the inter-annual variations in primary productivity of mountain grasslands.http://www.biogeosciences.net/12/3885/2015/bg-12-3885-2015.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
P. Choler |
spellingShingle |
P. Choler Growth response of temperate mountain grasslands to inter-annual variations in snow cover duration Biogeosciences |
author_facet |
P. Choler |
author_sort |
P. Choler |
title |
Growth response of temperate mountain grasslands to inter-annual variations in snow cover duration |
title_short |
Growth response of temperate mountain grasslands to inter-annual variations in snow cover duration |
title_full |
Growth response of temperate mountain grasslands to inter-annual variations in snow cover duration |
title_fullStr |
Growth response of temperate mountain grasslands to inter-annual variations in snow cover duration |
title_full_unstemmed |
Growth response of temperate mountain grasslands to inter-annual variations in snow cover duration |
title_sort |
growth response of temperate mountain grasslands to inter-annual variations in snow cover duration |
publisher |
Copernicus Publications |
series |
Biogeosciences |
issn |
1726-4170 1726-4189 |
publishDate |
2015-06-01 |
description |
A remote sensing approach is used to examine the direct and indirect effects
of snow cover duration and weather conditions on the growth response of
mountain grasslands located above the tree line in the French Alps.
Time-integrated Normalized Difference Vegetation Index (NDVI<sub>int</sub>), used as a
surrogate for aboveground primary productivity, and snow cover duration were
derived from a 13-year long time series of the Moderate-resolution Imaging
Spectroradiometer (MODIS). A regional-scale meteorological forcing that
accounted for topographical effects was provided by the
SAFRAN–CROCUS–MEPRA model chain. A hierarchical path analysis was
developed to analyze the multivariate causal relationships between forcing
variables and proxies of primary productivity. Inter-annual variations in
primary productivity were primarily governed by year-to-year variations in
the length of the snow-free period and to a much lesser extent by
temperature and precipitation during the growing season. A prolonged snow
cover reduces the number and magnitude of frost events during the initial
growth period but this has a negligible impact on NDVI<sub>int</sub> as compared
to the strong negative effect of a delayed snow melting. The maximum NDVI
slightly responded to increased summer precipitation and temperature but the
impact on productivity was weak. The period spanning from peak standing
biomass to the first snowfall accounted for two-thirds of NDVI<sub>int</sub> and this
explained the high sensitivity of NDVI<sub>int</sub> to autumn temperature and autumn
rainfall that control the timing of the first snowfall. The ability of
mountain plants to maintain green tissues during the whole snow-free period
along with the relatively low responsiveness of peak standing biomass to
summer meteorological conditions led to the conclusion that the length of
the snow-free period is the primary driver of the inter-annual variations in
primary productivity of mountain grasslands. |
url |
http://www.biogeosciences.net/12/3885/2015/bg-12-3885-2015.pdf |
work_keys_str_mv |
AT pcholer growthresponseoftemperatemountaingrasslandstointerannualvariationsinsnowcoverduration |
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1725703268656480256 |