Showing papers by "Christian Rixen published in 2008"

How alpine plant growth is linked to snow cover and climate variability

Abstract: [1] Recent climate models predict future changes in temperature and precipitation in the Alps. To assess the potential response of alpine plant communities to climate change, we analyzed specific and combined effects of temperature, precipitation, and snow season timing on the growth of plants. This analysis is based on data from 17 snow meteorological stations and includes plant growth records from the same sites over 10 years. Using multiple regression and path analysis, we found that plant growth was primarily driven by climatic factors controlled by the timing of the snow season. Air temperature and precipitation before snow-up and after melt-out yielded the greatest direct impact on maximum plant height as well as growth rates. The variability of environmental drivers between sites versus between years had different effects on plant growth: e.g., sites with early melt-out dates hosted plant communities with tall, slow-growing vegetation. But interannual variations in melt-out dates at a given site did not produce measurable differences in plant growth performance. However, high temperatures after melt-out invariably resulted in a shortened growth period. We speculate that the plant growth patterns we observed in response to climate variation between sites are indicative of the long-term responses of alpine plant communities to persistent climate changes. With most climate models indicating shorter winters, we thus expect alpine grasslands in the Alps to display an enhanced biomass production in the future.

Alpine Grassland Phenology as Seen in AVHRR, VEGETATION, and MODIS NDVI Time Series. A Comparison with In Situ Measurements

Abstract: This study evaluates the ability to track grassland growth phenology in the Swiss Alps with NOAA-16 Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) time series. Three growth parameters from 15 alpine and subalpine grassland sites were investigated between 2001 and 2005: Melt-Out (MO), Start Of Growth (SOG), and End Of Growth (EOG).We tried to estimate these phenological dates from yearly NDVI time series by identifying dates, where certain fractions (thresholds) of the maximum annual NDVI amplitude were crossed for the first time. For this purpose, the NDVI time series were smoothed using two commonly used approaches (Fourier adjustment or alternatively Savitzky-Golay filtering). Moreover, AVHRR NDVI time series were compared against data from the newer generation sensors SPOT VEGETATION and TERRA MODIS. All remote sensing NDVI time series were highly correlated with single point ground measurements and therefore accurately represented growth dynamics of alpine grassland. The newer generation sensors VGT and MODIS performed better than AVHRR, however, differences were minor. Thresholds for the determination of MO, SOG, and EOG were similar across sensors and smoothing methods, which demonstrated the robustness of the results. For our purpose, the Fourier adjustment algorithm created better NDVI time series than the Savitzky-Golay filter, since latter appeared to be more sensitive to noisy NDVI time series. Findings show that the application of various thresholds to NDVI time series allows the observation of the temporal progression of vegetation growth at the selected sites with high consistency. Hence, we believe that our study helps to better understand largescale vegetation growth dynamics above the tree line in the European Alps.

Altered Snow Density and Chemistry Change Soil Nitrogen Mineralization and Plant Growth

Abstract: Snow properties such as snow density will likely change in a warmer climate. Changes in depth and extent of snow cover have been shown to affect soil nutrient dynamics and plant growth; however, effects of a changed snow density have so far not been explicitly tested. We altered snow properties (especially depth and density according to those found on ski runs) and investigated effects on soil temperatures, soil nitrogen mineralization, plant phenology, and productivity. A denser, thinner snow cover led to reduced soil insulation and lower soil temperatures, which consequently increased net N mineralization. A denser snow cover furthermore resulted in a delay in plant phenology of up to five weeks after melt-out. The results suggest that changes in snow density, which have been largely neglected in the global change discussion until now, can cause significant changes in soil and vegetation processes.

A plant diversity×water chemistry experiment in subalpine grassland

Abstract: Plant diversity has been shown to drive important ecosystem functions such as productivity. At the same time, plant diversity and species composition are altered in alpine ecosystems by human impacts such as skiing. Therefore, we investigated impacts of decreased species richness and ski piste treatments on ecosystem functions in subalpine grassland. Species richness manipulations were combined with nutrient input from snow cover treated with snow additives that are commonly used on ski pistes. Three different species richness levels containing 1, 3 or 9 species randomly selected from a larger pool plus unmanipulated meadow plots were treated with four water types to simulate melt water. One water type contained the snow additive ammonium nitrate. Invasion into the communities was prevented by weeding during 2 years and allowed in three subsequent years. Higher species richness increased plant cover and biomass and decreased their variation. The number of functional groups in a plant assemblage had a positive effect on plant growth. Ammonium nitrate strongly increased biomass and plant cover after a single application but decreased species richness in originally diverse meadow plots. There was no significant interaction between species richness and water-type treatments. After the cessation of weeding, the species richness of different plot types converged within 3 years due to invasion. Nevertheless, relationships between initial species richness and plant cover remained positive. The results suggest that the diversity and species composition of alpine vegetation are important factors influencing cover and biomass, in particular during re-colonization of bare ground after disturbances such as ski-piste construction. In slow-growing alpine vegetation, initially positive diversity effects may remain even after successional convergence of species richness due to invasion. The negative effect of ammonium nitrate on species richness suggests the snow additives should only be used with care.