The evaluation of N/P fate using the SPARROW model: a case study in an arid and semi-arid region, northern China

Chen, Haitao; Yin, Jincheng; Song, Menglai; Ding, Han; Mo, Fan; Ren, Qiuru; Li, Guoguang; Song, Shuang; Wang, Yuqiu

doi:10.1007/s11356-023-26240-w

Cited by 4 publications

(1 citation statement)

References 59 publications

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“…Conversely, increased moisture levels during the wet season may facilitate microbial metabolic processes, contributing to nutrient availability and soil fertility. Yet, the deep mechanisms underlying soil microbiome responses to seasonal uctuations remain poorly understood [11,15]. Consequently, elucidating these differences is imperative for optimizing soil health, enhancing ecosystem services, and mitigating climate change impacts.…”

Section: Introductionmentioning

confidence: 99%

Seasonal Dynamics of Soil Microbiome in Response to Dry-Wet Alternation along the Jinsha River Dry-hot Valley

Jiang,

Chen,

et al. 2024

Preprint

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Background Soil microorganisms play a key role in nutrient cycling, carbon sequestration, and other important ecosystem processes, yet their response to seasonal dry-wet alternation remains poorly understood. Here, we collected 120 soil samples from dry-hot valleys (DHVs, ~1100 m a.s.l.), transition (~2000 m a.s.l.) and alpine zones (~3000 m a.s.l.) along the Jinsha River in southwest China during both wet and dry seasons. Our aims were to investigate the bacterial microbiome across these zones, with a specific focus on the difference between wet and dry seasons. Results Despite seasonal variations, bacterial communities in DHVs exhibit resilience, maintaining consistent community richness, diversity, and coverage. This suggests that the microbes inhabiting DHVs have evolved adaptive mechanisms to withstand the extreme dry and hot conditions. In addition, we observed season-specific microbial clades in all sampling areas, highlighting their resilience and adaptability to environmental fluctuations. Notably, we found similarities in microbial clades between soils from DHVs and the transition zones, including the phyla Actinobacteria, Chloroflexi, and Proteobacteria. The neutral community model respectively explained a substantial proportion of the community variation in DHVs (87.7%), transition (81.4%) and alpine zones (81%), indicating that those were predominantly driven by stochastic processes. Our results showed that migration rates were higher in the dry season than in the wet season in both DHVs and the alpine zones, suggesting fewer diffusion constraints. However, this trend was reversed in the transition zones. Conclusions Our findings contribute to a better understanding of how the soil microbiome responds to seasonal dry-wet alternation in the Jinsha River valley. These insights can be valuable for optimizing soil health and enhancing ecosystem resilience, particularly in dry-hot valleys, in the context of climate change.

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Section: Introductionmentioning

confidence: 99%

Seasonal Dynamics of Soil Microbiome in Response to Dry-Wet Alternation along the Jinsha River Dry-hot Valley

Jiang,

Chen,

et al. 2024

Preprint

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Building trust in large-scale water quality models: 13 alternative strategies beyond validation

Strokal,

Wang,

Micella

et al. 2024

Discov Water

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Validating large-scale water quality models is challenging because of the variety of water quality constituents, and scales for which observations are limited. Here, in this perspective, we propose 13 alternative strategies to build trust in large-scale water quality models beyond validation and discuss their strengths and weaknesses regarding their validity, reliability, and applicability. Our alternative strategies aim to evaluate separately model inputs (Strategies 1–4), outputs (Strategies 5–6) and structures (Strategy 7) as well as these aspects together (Strategies 8–13). This is done via methods such as comparisons (Strategies 1–3, 6–8, 12–13), sensitivity analysis (Strategy 5), use of innovations (Strategy 9), expert knowledge (Strategy 11) and local models (Strategy 13). The proposed strategies vary in their validity, reliability, and applicability. Validation is an important starting point but should be used in combination with other strategies. Our proposed list opens the discussion to improve methods to evaluate global water quality models.

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A novel framework reveals anthropogenic stressors of phosphorus polluted river-lake connection water system in Poyang lake basin of China

Yang,

Chen,

et al. 2024

Journal of Environmental Management

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The evaluation of N/P fate using the SPARROW model: a case study in an arid and semi-arid region, northern China

Cited by 4 publications

References 59 publications

Seasonal Dynamics of Soil Microbiome in Response to Dry-Wet Alternation along the Jinsha River Dry-hot Valley

Seasonal Dynamics of Soil Microbiome in Response to Dry-Wet Alternation along the Jinsha River Dry-hot Valley

Building trust in large-scale water quality models: 13 alternative strategies beyond validation

A novel framework reveals anthropogenic stressors of phosphorus polluted river-lake connection water system in Poyang lake basin of China

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