No abstract is provided for this article.
Ozone suppression (OS) – negative correlation between ozone (O 3 ) and temperature above a cutoff temperature (T x ) – has yet to be fully understood, causing large uncertainties in future global O 3 projection. Given China's serious air pollution and large population, its future O 3 projection has important implications on global population health. The level of OS in China under climate change needs to be better understood. We assess OS in China and develop hybrid models with OS to project future O 3 using downscaled climate projections. In 2015–2019, ∼19% of cities in China show OS, of which 80% has T x > 34°C. Moreover, O 3 is projected to suppress more and up to 11.75% of future regional O 3 in high‐emission scenarios in the late 21st century. Our findings highlight the essentiality to incorporate OS into chemical transport models for more accurate future O 3 projection.
The extrinsic factors that regulate soil microbial stability (resistance and resilience) are little understood, even though soil microbes are important drivers of ecosystem function and their stability is likely to affect soil carbon storage and plant nutrient availability. Soils were collected across three primary plant chronosequences (two in New Zealand and one in Hawaii) that differed in climate, parent material and time spans to test the following hypotheses: i) there is a tradeoff between the resistance and resilience of key soil microbial response variables, ii) this tradeoff is related to the relationship of soil microbial resistance and resilience to soil resources, iii) resources change predictably during different primary plant chronosequences, and iv) if the first three hypotheses hold and are consistent for all three chronosequences, then soil microbial resistance and resilience should change predictably across different chronosequences. Results showed that although there was a tradeoff between resistance and resilience, the role of resources in determining this was unclear. Within each chronosequence, resources that were positively related to resistance were negatively related to resilience and vice versa, consistent with our second hypothesis. However, the direction and strength of correlations between stability and soil resources depended strongly on which soil microbial response variable was measured, and the chronosequence it was measured in. Total amounts of resources often showed consistent trends with ecosystem development for each chronosequence, but the way that resource quality changed varied between chronosequences. At least partly because of the variable nature of these relationships, the trajectory of resistance and resilience during ecosystem development varied considerably across chronosequences. Thus, although consistent trends were found within each chronosequence, the relationships between the stability of different soil microbial response variables, resources and ecosystem development depended strongly on which chronosequence was considered.
Plant–soil feedback (PSF) results from the influence of plants on the composition and abundance of various taxa and functional groups of soil micro‐organisms, and their reciprocal effects on the plants. However, little is understood about the importance of fine root traits and root economic strategies in moderating microbial‐driven PSF. We examined the relationships between PSF and 11 chemical and morphological root traits from 18 sub‐arctic meadow plant species, as well as the soil microbial community composition which we characterized using phospholipid fatty acids (PLFAs) and high‐throughput sequencing. We also investigated the importance of the root economics spectrum in influencing PSF, because it indicates plant below‐ground economic strategies via trade‐offs between resource acquisition and conservation. When we considered the entire root economics spectrum, we found that PSFs were more negative when root trait values were more acquisitive across the 18 species. In addition, PSF was more negative when values of root nitrogen content and root forks per root length were higher, and more positive when root dry matter content was higher. We additionally identified two fungal orders that were negatively related to PSF. However, we found no evidence that root traits influenced PSF through its relationship with these fungal orders. Synthesis . Our results provide evidence that for some fine root traits, the root economics spectrum and some fungal orders have an important role in influencing PSF. By investigating the roles of soil micro‐organisms and fine root traits in driving PSF, this study enables us to better understand root trait–microbial linkages across species and therefore offers new insights about the mechanisms that underpin PSFs and ultimately plant community assembly.
During succession, ecosystem development occurs; but in the long-term absence of catastrophic disturbance, a decline phase eventually follows. We studied six long-term chronosequences, in Australia, Sweden, Alaska, Hawaii, and New Zealand; for each, the decline phase was associated with a reduction in tree basal area and an increase in the substrate nitrogen-to-phosphorus ratio, indicating increasing phosphorus limitation over time. These changes were often associated with reductions in litter decomposition rates, phosphorus release from litter, and biomass and activity of decomposer microbes. Our findings suggest that the maximal biomass phase reached during succession cannot be maintained in the long-term absence of major disturbance, and that similar patterns of decline occur in forested ecosystems spanning the tropical, temperate, and boreal zones.