Stability response of alpine meadow communities to temperature and precipitation changes on the Northern Tibetan Plateau

Wang, Chunyu; Wang, Junbang; Zhang, Fawei; Yang, Yongsheng; Luo, Fanglin; Li, Yingnian; Li, Jiexia

doi:10.1002/ece3.8592

Cited by 11 publications

(4 citation statements)

References 62 publications

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“…The average annual mean temperature on the TP has increased by 0.4 • C over the past half century, and annual precipitation has been increasing in most areas since the 1980s, with slight decreases in the southeast [59]. The combined effect of decreased precipitation and increased temperature on the TP has led to a reduction in soil water content, which is detrimental to grass growth on the southeastern of the TP [60]. Overgrazing affects community structures by altering the species composition of the TP, leading to biomass decline and triggering grassland degradation [61].…”

Section: Grassland Degradation Analysismentioning

confidence: 99%

Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data

et al. 2022

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Grassland is one of the most widely distributed ecosystems on the Tibetan Plateau (TP) accounting for about 60% of the total area. The grassland degradation has spread throughout the TP, and the scope and degree are increasing. The inconsistency of multi-source data poses a great challenge to accurately obtaining information about grassland degradation on the TP. This study used five land cover products and six vegetation indexes to analyze the spatial-temporal change in grassland area and quality at the pixel level across the TP from 2000 to 2020. Then, 279 observed grassland degradation points that were collected from 86 published papers were used to verify the grassland degradation information. The grassland fusion product demonstrated that the grassland area increased by 8.84% from 2000 to 2020, and the rate of grassland degradation exceeded the rate of grassland greening during 2010–2020. The superimposed six vegetation indexes showed that 25.88% of the grassland quality has been degraded on the TP from 2000 to 2020. In Changdu City, Ganzi Tibetan Autonomous Prefecture, Gannan Tibetan Autonomous Prefecture, Yushu Tibetan Autonomous Prefecture, Aba Tibetan and Qiang Autonomous Prefecture, Rikaze City, Shannan City and Nagqu City, the grassland quality degraded by more than in 20% and the degraded grassland area exceeded 2,000 km2. The observed grassland degradation points were mainly distributed in the northeastern and central parts of the TP. The consistency of six vegetation indexes with the observed grassland degradation points on the TP was 56.63%, with solar-induced chlorophyll fluorescence (SIF) being more effective than other vegetation indexes for monitoring grassland degradation on the TP. In general, the degradation of grassland on the TP has been a looming problem in recent decades.

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Section: Grassland Degradation Analysismentioning

confidence: 99%

Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data

et al. 2022

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“…averaging effect, community stability, compensatory dynamics, diversity-stability hypothesis, dominance effect, portfolio effect, species asynchrony, species stability, Taylor's power law, temporal variability investigated the effect of diversity loss (Hector et al, 2010;Tilman et al, 2006;Wang et al, 2019), land use modification (Blüthgen et al, 2016;Hautier et al, 2020;Lepš et al, 2018;Liang et al, 2021;Zhang et al, 2016) or climate change (Ma et al, 2017;Wang et al, 2022;Zelikova et al, 2014) on the stability of ecosystem functions, in particular, net primary productivity.…”

Section: Introductionmentioning

confidence: 99%

“…Recent years have witnessed an increasing interest in a better understanding of the determinants of ecological stability and in predicting the temporal fluctuations of ecosystem functioning in a changing world (see Su et al., 2022 and references therein). Hence, a large body of literature investigated the effect of diversity loss (Hector et al., 2010; Loreau & de Mazancourt, 2013; Tilman et al., 2006; Wang et al., 2019), land use modification (Blüthgen et al., 2016; Hautier et al., 2020; Lepš et al., 2018; Liang et al., 2021; Zhang et al., 2016) or climate change (Ma et al., 2017; Wang et al., 2022; Zelikova et al., 2014) on the stability of ecosystem functions, in particular, net primary productivity.…”

Section: Introductionmentioning

confidence: 99%

A unified framework for partitioning the drivers of stability of ecological communities

Segrestin,

Götzenberger,

Valencia

et al. 2024

Global Ecol Biogeogr

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AimIdentifying the drivers of ecological stability is critical for ensuring the maintenance of ecosystem functioning and services, particularly in a changing world. Different ecological mechanisms by which biological communities stabilize ecosystem functions (i.e. “stabilizing effects”) have been proposed, yet with various theoretical expectations and debated conclusions. Here we propose a unified framework that aims at reconciling, and combining, different approaches to reliably test the strength of three stabilizing effects on the temporal constancy of ecosystem functions: the effects of (a) dominant species, (b) species asynchrony, and (c) diversity.InnovationCompared to existing developments the approach allows, for the first time, disentangling these three stabilizing effects at the level of individual communities. So far this was not possible, and conclusions depended on indirect tests and comparative analyses across communities. We also propose a graphical representation of the relative contributions of the three stabilizing effects on a ternary plot, allowing us to easily compare communities sampled in various ecological contexts in a standardized space.Main conclusionsOur study answers the current need for a unified framework to link theoretical concepts on the temporal stability of ecological communities to data analysis. The present development promises flexible tests for a deeper understanding of the ecological stabilization of biodiversity and the relative importance of its components.

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“…However, warming and altered precipitation will likely change this phenomenon and affect environmental conditions, nutrient availability in soil, and (micro)biological activity on the plateau. In addition, the modified P uptake and microbially‐mediated P cycling in soil may further alter plant growth and affect meadow feedback to climate change (Wang et al., 2022). Here, we used metagenomic approaches to investigate how climate warming, precipitation alternation, and their interactions affect the microbial mechanisms mediating P processes in soil.…”

Section: Introductionmentioning

confidence: 99%

Microbial phosphorus‐cycling genes in soil under global change

Wang,

Guo,

Wang

et al. 2024

Global Change Biology

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The ongoing climate change on the Tibetan Plateau, leading to warming and precipitation anomalies, modifies phosphorus (P) cycling in alpine meadow soils. However, the interactions and cascading effects of warming and precipitation changes on the key “extracellular” and “intracellular” P cycling genes (PCGs) of bacteria are largely unknown for these P‐limited ecosystems. We used metagenomics to analyze the individual and combined effects of warming and altered precipitation on soil PCGs and P transformation in a manipulation experiment. Warming and increased precipitation raised Olsen‐P (bioavailable P, AP) by 13% and 20%, respectively, mainly caused by augmented hydrolysis of organic P compounds (NaOH‐Po). The decreased precipitation reduced soil AP by 5.3%. The richness and abundance of the PCGs' community in soils on the cold Tibetan plateau were more sensitive to warming than altered precipitation. The abundance of PCGs and P cycling processes decreased under the influence of individual climate change factors (i.e., warming and altered precipitation alone), except for the warming combined with increased precipitation. Pyruvate metabolism, phosphotransferase system, oxidative phosphorylation, and purine metabolism (all “intracellular” PCG) were closely correlated with P pools under climate change conditions. Specifically, warming recruited bacteria with the phoD and phoX genes, which encode enzymes responsible for phosphoester hydrolysis (extracellular P cycling), strongly accelerated organic P mineralization and so, directly impacted P bioavailability in alpine soil. The interactions between warming and altered precipitation profoundly influenced the PCGs' community and facilitated microbial adaptation to these environmental changes. Warming combined with increased precipitation compensated for the detrimental impacts of the individual climate change factors on PCGs. In conclusion, warming combined with rising precipitation has boosting effect on most P‐related functions, leading to the acceleration of P cycling within microbial cells and extracellularly, including mineralization and more available P release for microorganisms and plants in alpine soils.

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Stability response of alpine meadow communities to temperature and precipitation changes on the Northern Tibetan Plateau

Cited by 11 publications

References 62 publications

Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data

Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data

A unified framework for partitioning the drivers of stability of ecological communities

Microbial phosphorus‐cycling genes in soil under global change

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