Alpine meadow degradation: status, reasons, and trends DOI
Qiang Zhang,

Junqiang Yao,

A. Allan Degen

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 69 - 86

Published: Dec. 4, 2024

Language: Английский

Impact of deeper groundwater depth on vegetation and soil in semi-arid region of eastern China DOI Creative Commons

Siteng Zhao,

Xueyong Zhao,

Yulin Li

et al.

Frontiers in Plant Science, Journal Year: 2023, Volume and Issue: 14

Published: June 29, 2023

Understanding the impact of deep groundwater depth on vegetation communities and soil in sand dunes with different underground water tables is essential for ecological restoration conservation groundwater. Furthermore, this understanding critical determining threshold value that ensures survival vegetation.This paper was conducted a semi-arid region eastern China, effects (6.25 m, 10.61 15.26 m) properties (0-200 cm) across three dune types (mobile, semi-fixed, fixed dunes) were evaluated ecosystem Horqin Sandy Land.For community, variations same species are more significant at depths. For properties, negatively influences moisture, total carbon, nitrogen, available phosphorus concentrations, pH. Besides, also significantly affected organic carbon potassium concentrations. In addition, herb mainly distributed areas lower depth, yet arbor shrub sparsely places deeper depth.As key drivers sustainability, adaptation these dominant to increasing may alleviate negative depth; however, restrictions exceeded depth.

Language: Английский

Citations

9

Inoculation of cold-adapted microbial consortium screened from alpine meadows promotes the growth of mixed grasses by changing soil properties and enzyme activity DOI

Jiali Chai,

Xian Wang, Xiaoting Liu

et al.

Rhizosphere, Journal Year: 2023, Volume and Issue: 28, P. 100782 - 100782

Published: Sept. 20, 2023

Language: Английский

Citations

7

Study of Ecosystem Degradation Dynamics in the Peruvian Highlands: Landsat Time-Series Trend Analysis (1985–2022) with ARVI for Different Vegetation Cover Types DOI Open Access
Deyvis Cano, Samuel Pizarro, Carlos Cacciuttolo

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(21), P. 15472 - 15472

Published: Oct. 31, 2023

The high-Andean vegetation ecosystems of the Bombón Plateau in Peru face increasing degradation due to aggressive anthropogenic land use and climate change scenario. lack historical evolution information makes implementing adaptive monitoring plans these vulnerable difficult. Remote sensor technology emerges as a fundamental resource fill this gap. objective article was analyze over almost four decades (1985–2022), using high spatiotemporal resolution data from Landsat 5, 7, 8 sensors. methodology considers: (i) atmosphere resistant index (ARVI), (ii) implementation non-parametric Mann–Kendall trend analysis per pixel, (iii) affected covers were determined by supervised classification. This article’s results show that approximately 13.4% total cover degraded. According types, bulrush degraded 21%, tall grass 18%, cattails 16%, wetlands 14%, puna 13%. Spearman correlation (p < 0.01) are replaced factors linked with human activities. Finally, concludes part is related activities such agriculture, overgrazing, urbanization, mining. However, possibility environmental have influenced events recognized.

Language: Английский

Citations

6

Differential impacts of degradation on grassland ecosystems in the Tibetan Plateau and the Northern agro-pastoral ecotone: A meta-analysis DOI
Yuhan Liu, Jingyi Dong, Siyu Ren

et al.

Plant and Soil, Journal Year: 2023, Volume and Issue: 496(1-2), P. 677 - 696

Published: Nov. 23, 2023

Language: Английский

Citations

6

Increased availability of preferred food and decreased foraging costs from degraded grasslands lead to rodent pests in the Qinghai-Tibet Plateau DOI Creative Commons

Caijun Zhang,

Yukun Kang, Baohui Yao

et al.

Frontiers in Ecology and Evolution, Journal Year: 2022, Volume and Issue: 10

Published: Sept. 8, 2022

The increased population density of rodent species during ongoing grassland degradation further deteriorates its conditions. Understanding the effects on feeding habits is great value for optimizing management strategies. In this study, lightly degraded (LD), moderately (MD), severely (SD), and reseeded (RG) were selected their plant resources soil physical properties investigated. addition, study used ITS2 barcode combined with Illumina MiSeq sequencing method to analyze food composition proportion plateau zokors in different results showed that, degradation, biomass decreased, but relative forbs (LD: 32.05 ± 3.89%; MD: 28.97 2.78%; SD: 49.16 4.67% RG: 10.93 1.53%). Forbs main zokor, accounting more than 90% diet, animal had a clear preference Potentilla species; compaction decreasing trend 10–25 cm layer, suggesting decreased foraging cost. Nutritional analysis that stomach content crude protein MD was significantly higher animals other types. Structural equation modeling significant ( P &lt; 0.05) extremely 0.001) impacts zokors, direct impact contribution rates 0.20 0.63. As severity increased, although aboveground underground plants preferred by zokor corresponding changes environment resulted energy expenditure, thereby increasing suitability zokor. Compared grassland, diversity evenness niche width enlarged, weeds RG, which difficulty obtaining food. Reseeding therefore an effective way control zokors.

Language: Английский

Citations

9

Assessing drivers of intra-seasonal grassland dynamics in a Kenyan savannah using digital repeat photography DOI Creative Commons
James M. Muthoka, Alexander S. Antonarakis, Anton Vrieling

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 142, P. 109223 - 109223

Published: July 30, 2022

Understanding grassland dynamics and their relationship to weather grazing is critical for pastoralists whose livelihoods depend on productivity. Studies investigating the impacts of climate human factors inter-seasonal have focused mostly changes vegetation structure. Yet, quantifying impact these specific communities not known. This study uses digital repeat photography examine how intra-seasonal different are affected by precipitation, temperature, in a heterogeneous semi-arid savannah Kenya. A low-cost camera network allowed fine-scale temporal spatial variability analysis intensity. Over all grass communities, our results show precipitation driving mainly early-season some cases mid-season flushing, temperature end-of-season senescence, influencing declines. quantifies three drivers do uniformly species communities. Specifically, Cynodon Cynodon/Bothriochloa rapidly positively associated with where declines late-season increases. Setaria other hand, weaker associations drivers, limited positive grazing. Kunthii/Digitaria diverse had no association drivers. Highly mixed were increased as well lower intensity Our research sheds light complex interactions between plants, animals, weather. Furthermore, this also demonstrates potential repeated inform about patterns grazing, goal assisting formulations management practises that better capture intra-annual highly dryland systems.

Language: Английский

Citations

8

Alpine meadow and alpine steppe plant-soil network in Qinghai-Tibet Plateau, China DOI

Yanzhen Hou,

Wenwu Zhao, Tianyu Zhan

et al.

CATENA, Journal Year: 2024, Volume and Issue: 244, P. 108235 - 108235

Published: July 11, 2024

Language: Английский

Citations

1

Effects of alpine meadow degradation on the soil physical and chemical properties in Maqu, China DOI Creative Commons

Kecun Zhang,

Jing Pan, Zhishan An

et al.

Research in Cold and Arid Regions, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

1

Editorial: Patterns, functions, and processes of alpine grassland ecosystems under global change DOI Creative Commons
Jian Sun, Yingxin Wang, Shiliang Liu

et al.

Frontiers in Plant Science, Journal Year: 2022, Volume and Issue: 13

Published: Oct. 12, 2022

EDITORIAL article Front. Plant Sci., 12 October 2022Sec. Functional Ecology Volume 13 - 2022 | https://doi.org/10.3389/fpls.2022.1048031

Language: Английский

Citations

6

Machine learning in soil nutrient dynamics of alpine grasslands DOI
Lili Jiang, Guoqi Wen, Jia Lu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 946, P. 174295 - 174295

Published: June 25, 2024

Language: Английский

Citations

0