Interannual hydrological changes affect plant communities across different elevation zones in plateau lakeshores: insights from Lake Erhai DOI Creative Commons
Feng Zhu,

Jing Yuan,

Zeying Hou

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 14, 2024

The relationship between wetland water level changes and plant community has been a research hotspot. However, the gradient critical influencing factors of plateau lakeshore plants soils during wet-dry alternation remain unclear. Here, we studied variations in along Erhai across three elevation ranges (1965.0-1965.3m, 1965.3-1965.6m, 1965.6-1966.4m) flooding drought years. Our aimed to elucidate interrelationships mechanisms among hydrology, soil properties, dynamics. results showed that (1) In years, Shannon-Wiener index significantly decreased ranges, other diversity indices, biomass, coverage also varying degrees; (2) except for pH, (SW) nutrient content degrees year; (3) SW was primary factor coverage, 1965.0-1965.3m 1965.3-1965.6m ranges; nitrate nitrogen, C/N ratio, total phosphorus were 1965.6-1966.4m ranges. structural equation modeling revealed significant strong correlation pH. This suggests directly impacted biomass accumulation, subsequently affecting played role regulating study identified effects hydrological inter-annual on communities highlighted as crucial driver. strategies proposed protect improve stability lake ecosystems Lake similar lakes.

Language: Английский

Decoding seasonal changes: soil parameters and microbial communities in tropical dry deciduous forests DOI Creative Commons
Anjali Chandrol Solanki,

Narendra Singh Gurjar,

Satish Kumar Sharma

et al.

Frontiers in Microbiology, Journal Year: 2024, Volume and Issue: 15

Published: Feb. 19, 2024

In dry deciduous tropical forests, both seasons (winter and summer) offer habitats that are essential ecologically. How these seasonal changes affect soil properties microbial communities is not yet fully understood. This study aimed to investigate the influence of fluctuations on characteristics populations. The moisture content dramatically increases in summer. However, pH only gradually shifts from acidic slightly neutral. During summer, electrical conductivity (EC) values range 0.62 1.03 ds m -1 , contrast their decline winter. levels macronutrients micronutrients increase during as does quantity organic carbon (SOC). A two-way ANOVA analysis reveals limited impacts specific geographic locations amounts accessible nitrogen (N) phosphorus (P). Moreover, dehydrogenase, nitrate reductase, urease activities rise while chitinase, protease, acid phosphatase more pronounced microbes were identified through 16S rRNA ITS (Internal Transcribed Spacer) gene sequencing. Results revealed Proteobacteria Ascomycota predominant bacterial fungal phyla. Bacillus, Pseudomonas Burkholderia dominant genera, Aspergillus, Alternaria, Trichoderma genera forest samples. Dominant may play a role ecosystem services such health management nutrient cycling. seasons, clear relationships exist between properties, including pH, moisture, iron (Fe), zinc (Zn), diversity. Enzymatic shift relate positively with parameters. highlights robust soil-microbial interactions persist mainly top layers forests summer winter seasons. It provides insights into responses changes, advancing our understanding dynamics biodiversity preservation.

Language: Английский

Citations

6
Soil microbial functional diversity is primarily affected by soil nitrogen, salinity and alkalinity in wetland ecosystem DOI
Mengyuan Zhu,

Zhen-Di Liu,

Yanyu Song

et al.

Applied Soil Ecology, Journal Year: 2024, Volume and Issue: 199, P. 105407 - 105407

Published: April 11, 2024

Language: Английский

Citations

6
A review of reservoir carbon Cycling: Key Processes, influencing factors and research methods DOI Creative Commons
Chunhui Li, Yihan Wang, Yujun Yi

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112511 - 112511

Published: Aug. 20, 2024

Based on the focus role of reservoirs as carbon sources and sinks, this article explores their impact global cycle. Reservoirs, which are "artificial lakes" created by human activities in rivers, reviewed terms key links cycling within reservoir areas, influencing factors, research methods related to emissions. By reviewing literature cycling, we elucidate mechanisms inputs, decomposition transformation, emissions, burial, summarizing biogeochemical coupling processes dissolved organic (DOC), inorganic (DIC), particulate (POC), (PIC) with hydrological conditions nutrients. The study concludes that process is influenced characteristics themselves, hydrodynamic conditions, physicochemical nutrient activities. Additionally, further clarify applications field sampling analysis, modeling, remote sensing technology, isotope techniques cycling. In future, it recommended continue monitoring simulating cycle a long-term large-scale basis, deeply explore multifactorial construction

Language: Английский

Citations

6
Characteristics of soil organic carbon fractions in four vegetation communities of an inland salt marsh DOI Creative Commons

Manping Kang,

Zhao Cheng-zhang, Min Ma

et al.

Carbon Balance and Management, Journal Year: 2024, Volume and Issue: 19(1)

Published: Jan. 28, 2024

Abstract Background The study of soil organic carbon characteristics and its relationship with environment vegetation types is great significance to the evaluation sink provided by inland salt marshes. This paper reports fractions in 0–50 cm layers at four communities Qinwangchuan marsh. Results (1) content Phragmites australis community (9.60 ± 0.32 g /kg) was found be higher than that Salicornia europae (7.75 0.18 Tamarix ramosissima (4.96 Suaeda corniculata (4.55 0.11 /kg). (2) dissolved carbon, particulate microbial biomass layer were higher, which 0.46 0.01 /kg, 2.81 0.06 /kg 0.31 respectively. (3) Soil positively correlated negatively easily oxidized carbon. (4) Above-ground has a strong direct positive effect on total nitrogen pH have content, average density negative Conclusions interaction between plant factors an important driving factor for accumulation

Language: Английский

Citations

5
Application of Artificial Intelligence and Sensor Fusion for Soil Organic Matter Prediction DOI Creative Commons
Md Jasim Uddin,

Jordan Sherrell,

Anahita Emami

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(7), P. 2357 - 2357

Published: April 8, 2024

Soil organic matter (SOM) is one of the best indicators to assess soil health and understand productivity fertility. Therefore, measuring SOM content a fundamental practice in science agricultural research. The traditional approach (oven-dry) costly, arduous, time-consuming process. However, integration cutting-edge technology can significantly aid prediction SOM, presenting promising alternative methods. In this study, we tested hypothesis that an accurate estimate might be obtained by combining ground-based sensor-captured parameters analysis data along with drone images farm. are gathered using three different methods: sensors detect such as temperature, pH, humidity, nitrogen, phosphorous, potassium soil; aerial photos taken UAVs display vegetative index (NDVI); Haney test reports measured lab from collected samples. Our datasets combined sensors, reports, NDVI farms perform predict machine learning algorithms. We incorporated regression ANOVA for analyzing dataset explored seven algorithms, linear regression, Ridge Lasso random forest Elastic Net support vector machine, Stochastic Gradient Descent other predictors.

Language: Английский

Citations

5
Factors driving plant diversity in the spontaneous vegetation of the novel ecosystem of post-coal mining spoil heaps and their relationship with soil respiration DOI Creative Commons
Łukasz Radosz, Damian Chmura, Artur Dyczko

et al.

Journal of Water and Land Development, Journal Year: 2024, Volume and Issue: unknown, P. 190 - 201

Published: June 12, 2024

The subject of the paper is analysis relationship between spontaneous vegetation diversity and soil respiration in novel post-coal mine ecosystem. In natural semi-natural ecosystems, process (Rs) a crucial ecosystem function regulating terrestrial ecosystems’ carbon cycle. Soil depends on quality quantity organic matter (SOM), microbes’ activity, root metabolism. listed factors are directly related to composition plant species (biochemistry). For many years, parameters have been studied seminatural communities ecosystems. However, there still need be greater understanding as function. Plant has analysed through both taxonomic functional diversity. These approaches reflect composition, structure, communities. We hypothesise that shapes amount differs significantly along vegetational types driven by habitat gradients higher highly richness dispersion patches. Contrary our expectation, was highest less diverse – taxonomical evenness were non-significant factors. Only weakly negative correlated with level (SRL).

Language: Английский

Citations

5
Plant communities regulated by water-level gradient in Caohai aquatic–terrestrial ecotones affect bacterial and fungal structures and co-occurrence networks DOI

Mosheng Qiu,

Yiwei Wang, Caili Sun

et al.

Rhizosphere, Journal Year: 2023, Volume and Issue: 25, P. 100674 - 100674

Published: Feb. 11, 2023

Language: Английский

Citations

11
The effect of differences in soil water content on microbial and enzymatic properties across the soil profiles DOI
Jacek Długosz, Anna Piotrowska‐Długosz, Barbara Breza-Boruta

et al.

Ecohydrology & Hydrobiology, Journal Year: 2023, Volume and Issue: 24(3), P. 547 - 556

Published: June 26, 2023

Language: Английский

Citations

11
Tracking the Effects of Mangrove Changes and Spartina alterniflora Invasion on Soil Carbon Storage: A Case Study of the Beibu Gulf of Guangxi, China DOI Creative Commons

Zengshiqi Huang,

Huanmei Yao, Mengsi Wang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(3), P. 392 - 392

Published: March 20, 2024

In order to clarify the long-term changes in mangroves Beibu Gulf of Guangxi and carbon storage after invasion Spartina alterniflora (S. alterniflora) Dandou Sea area, Continuous Change Detection Classification (CCDC) algorithm combined with feature indices was first used track changes. Subsequently, random forest applied classify each change segment, then sampling conducted based on distribution S. different years. The results showed that Kappa coefficient classification result latest segment 0.78. rapid expansion alterniflora, aquaculture pond construction, land reclamation activities have led mangroves, causing a decrease area mangrove region. A total 814.57 hectares has been converted into other land-cover types, most pixels undergoing one two changes, many these were expected continue until 2022. An analysis characteristics influencing factors soil organic (SOC) (SOCS) at stages revealed SOC SOCS mainly influenced by bulk density, moisture content, electrical conductivity. It found had higher content compared mudflats. With increase years, continuously increased coastal wetlands.

Language: Английский

Citations

4
Water-Level Fluctuations Rather than Water Content Changes Induced by Reservoir Operation Impact Bacterial Functioning for Nitrogen Transformation in Riparian Zones DOI
Yuchen Chen, Qi Zhang, Qiuwen Chen

et al.

ACS ES&T Water, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Riparian zones act as critical "sinks" for nitrogen transformation and "buffers" removal in reservoirs. The operation of hydropower reservoirs significantly alters water levels these impacts the biogeochemical nitrogen. This is primarily driven by bacteria residing sediments riparian zones. However, impact level alteration on bacterial community its nitrogen-transformation function remains unclear. study investigates whether changes contents or water-level fluctuations resulting from reservoir more profoundly affect functioning observed differential arises dynamics. Through a long-term field investigation upper Mekong River, we discovered that fluctuation frequency, rather than contents, increased abundance genes encoding enzymes, especially those related to anaerobic ammonia oxidation. These created conditions maximized potential without altering structure. Our findings suggest instead ecological strategies within offers new insights into optimizing management improved removal.

Language: Английский

Citations

0