Abstract:We investigated the independent and combined effects of experimental warming and grazing on plant species diversity on the north-eastern Tibetan Plateau, a region highly vulnerable to ongoing climate and land use changes. Experimental warming caused a 26-36% decrease in species richness, a response that was generally dampened by experimental grazing. Higher species losses occurred at the drier sites where N was less available. Moreover, we observed an indirect effect of climate change on species richness as me… Show more
“…Zhang (2011) also stated that wetlands in the Damqu River Basin located in the source region of the Yangtze River have experienced complex intercategory transformations, although the total wetland area has remained essentially unchanged throughout 1998 and 2007. Through experimental warming, Klein et al (2004) found that warming caused large and rapid species loss. Warming may change species geographic ranges as being reported in temperate regions (Iverson and Prasad, 1998;Lenoir et al, 2008 andMoritz et al, 2008) and threaten biodiversity within the TRSR.…”
Section: Response Of Water Resources On the Climate Changementioning
confidence: 99%
“…Some examples are the expansion and increasing number of glacial lakes, a trend in decreasing snow coverage, shorter lake and river ice freezing periods, glacial ablation, and increasing surface instability of permafrost as well as its declining area (IPCC, 2007). Climate change has also caused ecosystem degradation (Lian and Shu, 2009), loss in biodiversity that only time can recover (Klein et al, 2004, Lenoir et al, 2008, and observable changes to plant species (Lenoir et al, 2008;Wang et al, 2011).…”
Changes observed in nine meteorological variables obtained from the Three Rivers Source Region (TRSR) between 1960 and 2009 were investigated using a fitted linear model, Mann-Kendall test, moving t-test, and Morlet wavelet. Analysis of the regionally scaled annual series from 1960 to 2009 showed that minimum (T min ), maximum (T max ), mean (T mean ) air temperature, precipitation (P ), potential evaporation (E p ), and sunshine hours (SH ) increased while relative humidity (RH ) and wind speed (W ) decreased. Trends were significant at a 99% confidence level for air temperature and at a 95% confidence level for E p and W . With the exception of SH , regional scale changes observed in all variables in the past decade (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)) when compared to climate norms (means of all climatic variables) from 1961 to 1990 were consistent with their corresponding linear trends from 1960 to 2009. T max , T mean , and drought index (DI ) exhibited one climate jump, T min and RH two, and SH , E p , and W three at a significance level of α = 0.05. On a regional scale, the period from 1986 to 1997 experienced a warmer, drier climate due to higher than average air temperatures, lower P , and higher DI compared to means from 1960 to 2009. The majority of meteorological variables of the TRSR experienced significant (α = 0.05) short periodical cycling between 2 and 5 years. In terms of spatial distribution, seven out of 12 meteorological stations underwent warmer and wetter periods from 1960 to 2009, whereas the other five situated in the southeastern section of the TRSR underwent warmer, drier periods.
“…Zhang (2011) also stated that wetlands in the Damqu River Basin located in the source region of the Yangtze River have experienced complex intercategory transformations, although the total wetland area has remained essentially unchanged throughout 1998 and 2007. Through experimental warming, Klein et al (2004) found that warming caused large and rapid species loss. Warming may change species geographic ranges as being reported in temperate regions (Iverson and Prasad, 1998;Lenoir et al, 2008 andMoritz et al, 2008) and threaten biodiversity within the TRSR.…”
Section: Response Of Water Resources On the Climate Changementioning
confidence: 99%
“…Some examples are the expansion and increasing number of glacial lakes, a trend in decreasing snow coverage, shorter lake and river ice freezing periods, glacial ablation, and increasing surface instability of permafrost as well as its declining area (IPCC, 2007). Climate change has also caused ecosystem degradation (Lian and Shu, 2009), loss in biodiversity that only time can recover (Klein et al, 2004, Lenoir et al, 2008, and observable changes to plant species (Lenoir et al, 2008;Wang et al, 2011).…”
Changes observed in nine meteorological variables obtained from the Three Rivers Source Region (TRSR) between 1960 and 2009 were investigated using a fitted linear model, Mann-Kendall test, moving t-test, and Morlet wavelet. Analysis of the regionally scaled annual series from 1960 to 2009 showed that minimum (T min ), maximum (T max ), mean (T mean ) air temperature, precipitation (P ), potential evaporation (E p ), and sunshine hours (SH ) increased while relative humidity (RH ) and wind speed (W ) decreased. Trends were significant at a 99% confidence level for air temperature and at a 95% confidence level for E p and W . With the exception of SH , regional scale changes observed in all variables in the past decade (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)) when compared to climate norms (means of all climatic variables) from 1961 to 1990 were consistent with their corresponding linear trends from 1960 to 2009. T max , T mean , and drought index (DI ) exhibited one climate jump, T min and RH two, and SH , E p , and W three at a significance level of α = 0.05. On a regional scale, the period from 1986 to 1997 experienced a warmer, drier climate due to higher than average air temperatures, lower P , and higher DI compared to means from 1960 to 2009. The majority of meteorological variables of the TRSR experienced significant (α = 0.05) short periodical cycling between 2 and 5 years. In terms of spatial distribution, seven out of 12 meteorological stations underwent warmer and wetter periods from 1960 to 2009, whereas the other five situated in the southeastern section of the TRSR underwent warmer, drier periods.
“…This was surprising, as soil transplant or maize cropping alone significantly increased microbial diversity ( Supplementary Figures S1 and S4A). To explore this, we calculated the interactive effect of cropping and transplant on microbial diversity, using an established method (Klein et al, 2004). The results showed that the interactive effect of cropping and transplant was negative (Supplementary Figure S5).…”
Section: Vegetation Overrides Soil Transplant Effects On Microbial Comentioning
Despite microbes’ key roles in driving biogeochemical cycles, the mechanism of microbe-mediated feedbacks to global changes remains elusive. Recently, soil transplant has been successfully established as a proxy to simulate climate changes, as the current trend of global warming coherently causes range shifts toward higher latitudes. Four years after southward soil transplant over large transects in China, we found that microbial functional diversity was increased, in addition to concurrent changes in microbial biomass, soil nutrient content and functional processes involved in the nitrogen cycle. However, soil transplant effects could be overridden by maize cropping, which was attributed to a negative interaction. Strikingly, abundances of nitrogen and carbon cycle genes were increased by these field experiments simulating global change, coinciding with higher soil nitrification potential and carbon dioxide (CO2) efflux. Further investigation revealed strong correlations between carbon cycle genes and CO2 efflux in bare soil but not cropped soil, and between nitrogen cycle genes and nitrification. These findings suggest that changes of soil carbon and nitrogen cycles by soil transplant and cropping were predictable by measuring microbial functional potentials, contributing to a better mechanistic understanding of these soil functional processes and suggesting a potential to incorporate microbial communities in greenhouse gas emission modeling.
“…The Tibetan plateau, one of the most extensive alpine regions in the world, is thought to be particularly sensitive to global climate change (Klein et al, 2004). Moreover, as one of the largest pastoralist areas globally, the Tibetan plateau has been subjected…”
Section: Introductionmentioning
confidence: 99%
“…Klein et al (2004) reported that experimental warming caused a rapid decrease in species richness on the eastern Tibetan plateau, an effect that was dampened by simulated grazing. Similar findings have been reported elsewhere (Post and Pedersen, 2008).…”
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