Carex sempervirens tussocks induce spatial heterogeneity in litter decomposition, but not in soil properties, in a subalpine grassland in the Central Alps

Flora ◽  
2011 ◽  
Vol 206 (4) ◽  
pp. 373-379 ◽  
Author(s):  
Fei-Hai Yu ◽  
Martin Schütz ◽  
Deborah S. Page-Dumroese ◽  
Bertil O. Krüsi ◽  
Jakob Schneller ◽  
...  
2008 ◽  
Vol 310 (1-2) ◽  
pp. 103-112 ◽  
Author(s):  
Zhiyong Zhou ◽  
Osbert Jianxin Sun ◽  
Zhongkui Luo ◽  
Hongmei Jin ◽  
Quansheng Chen ◽  
...  

Ecosystems ◽  
2017 ◽  
Vol 20 (6) ◽  
pp. 1151-1163 ◽  
Author(s):  
Arthur A. D. Broadbent ◽  
Kate H. Orwin ◽  
Duane A. Peltzer ◽  
Ian A. Dickie ◽  
Norman W. H. Mason ◽  
...  

2019 ◽  
Vol 442 (1-2) ◽  
pp. 79-96 ◽  
Author(s):  
Pilar Castro-Díez ◽  
Álvaro Alonso ◽  
Alberto Romero-Blanco

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Lu Gong ◽  
Xin Chen ◽  
Xueni Zhang ◽  
Xiaodong Yang ◽  
Yanjiang Cai

Abstract Seasonal snowfall, a sensitive climate factor and the main form of precipitation in arid areas, is important for forest material circulation and surface processes and profoundly impacts litter decomposition and element turnover. However, how the thickness and duration of snow cover affect litter decomposition and element release remain unclear. Thus, to understand the effects of snow on litter decomposition, fiber degradation and their relationships with soil properties, a field litterbag experiment was conducted under no, thin, medium, and thick snow cover in a Schrenk spruce (Picea schrenkiana) forest gap in the Tianshan Mountains. The snow cover period exhibited markedly lower rates of decomposition than the snow-free period. The litter lignin, cellulose and N concentrations in the pregrowing season and middle growing season were significantly higher than those in the deep-freeze period, and the litter C and P concentrations were significantly higher during the onset of the freeze–thaw period, deep-freeze period and thaw period than in the late growing season. The litter cellulose, C and N concentrations were significantly higher under thick snow cover than under no snow cover in most stages. Moreover, the correlations among litter mass, cellulose, lignin/cellulose and soil bulk density varied with snow cover depth. The temporal variations and snow cover depth affected the decomposition process significantly. The former affected lignin, cellulose and P, and the latter affected cellulose, C and N and changed the litter-soil properties relationship. These differences provide references for understanding how winter conditions affect material cycling and other ecological processes under climate change.


2020 ◽  
Author(s):  
Laura Vivian Barbosa Silva ◽  
Heraldo L. Vasconcelos ◽  
Michelle C. Mack ◽  
Adão de Siqueira Ferreira ◽  
Emilio M. Bruna

2017 ◽  
Vol 21 (9) ◽  
pp. 4663-4680 ◽  
Author(s):  
Abraham Endalamaw ◽  
W. Robert Bolton ◽  
Jessica M. Young-Robertson ◽  
Don Morton ◽  
Larry Hinzman ◽  
...  

Abstract. Modeling hydrological processes in the Alaskan sub-arctic is challenging because of the extreme spatial heterogeneity in soil properties and vegetation communities. Nevertheless, modeling and predicting hydrological processes is critical in this region due to its vulnerability to the effects of climate change. Coarse-spatial-resolution datasets used in land surface modeling pose a new challenge in simulating the spatially distributed and basin-integrated processes since these datasets do not adequately represent the small-scale hydrological, thermal, and ecological heterogeneity. The goal of this study is to improve the prediction capacity of mesoscale to large-scale hydrological models by introducing a small-scale parameterization scheme, which better represents the spatial heterogeneity of soil properties and vegetation cover in the Alaskan sub-arctic. The small-scale parameterization schemes are derived from observations and a sub-grid parameterization method in the two contrasting sub-basins of the Caribou Poker Creek Research Watershed (CPCRW) in Interior Alaska: one nearly permafrost-free (LowP) sub-basin and one permafrost-dominated (HighP) sub-basin. The sub-grid parameterization method used in the small-scale parameterization scheme is derived from the watershed topography. We found that observed soil thermal and hydraulic properties – including the distribution of permafrost and vegetation cover heterogeneity – are better represented in the sub-grid parameterization method than the coarse-resolution datasets. Parameters derived from the coarse-resolution datasets and from the sub-grid parameterization method are implemented into the variable infiltration capacity (VIC) mesoscale hydrological model to simulate runoff, evapotranspiration (ET), and soil moisture in the two sub-basins of the CPCRW. Simulated hydrographs based on the small-scale parameterization capture most of the peak and low flows, with similar accuracy in both sub-basins, compared to simulated hydrographs based on the coarse-resolution datasets. On average, the small-scale parameterization scheme improves the total runoff simulation by up to 50 % in the LowP sub-basin and by up to 10 % in the HighP sub-basin from the large-scale parameterization. This study shows that the proposed sub-grid parameterization method can be used to improve the performance of mesoscale hydrological models in the Alaskan sub-arctic watersheds.


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