Goose grazing shifts the dominance of annual vegetation in coconut plantations from aboveground biomass to the soil seed bank DOI
An Hu, Zhiyuan Wei, Qianzhen Dong

et al.

Agriculture Ecosystems & Environment, Journal Year: 2024, Volume and Issue: 372, P. 109103 - 109103

Published: June 6, 2024

Language: Английский

Herbivory limits success of vegetation restoration globally DOI
Changlin Xu, Brian R. Silliman, Jianshe Chen

et al.

Science, Journal Year: 2023, Volume and Issue: 382(6670), P. 589 - 594

Published: Nov. 2, 2023

Restoring vegetation in degraded ecosystems is an increasingly common practice for promoting biodiversity and ecological function, but successful implementation hampered by incomplete understanding of the processes that limit restoration success. By synthesizing terrestrial aquatic studies globally (2594 experimental tests from 610 articles), we reveal substantial herbivore control under restoration. Herbivores at sites reduced abundance more strongly (by 89%, on average) than those relatively undegraded suppressed, rather fostered, plant diversity. These effects were particularly pronounced regions with higher temperatures lower precipitation. Excluding targeted herbivores temporarily or introducing their predators improved magnitudes similar to greater achieved managing competition facilitation. Thus, herbivory a promising strategy enhancing efforts.

Language: Английский

Citations

58

Grazing regime rather than grazing intensity affect the foraging behavior of cattle DOI Creative Commons
Wang You, Rui Yu, Xin Li

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 102996 - 102996

Published: Jan. 1, 2025

Language: Английский

Citations

1

Variation of biomass carbon stock within agroforestry systems in the Senegalese groundnut basin DOI Creative Commons
Mariama Sambou, Brahima Koné,

S. Sambou

et al.

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: March 14, 2024

Abstract Agroforestry plays a pivotal role in mitigating greenhouse gas (GHG) emissions and addressing the challenges posed by climate change. While carbon sequestration efforts have primarily centred on forests, it is imperative to acknowledge contribution that non-forest ecosystems, such as agroforestry, can offer. This study investigated influence of agroforestry systems variation biomass stocks Sahelo-Sudanian Sudanian regions Senegalese Groundnut basin. Three primary were studied: silvopastoral, agrisilvicultural, agrosilvopastoral. Forty-six (46) 100 m × plots sampled, within which 1 2 subplots used sample understory across three two climatic zones. Analysis variance was performed assess zones stocks. The findings showed region, agrisilvicultural system exhibited highest AGC + BGC stocks, averaging 43.42 ± 21.61 tCha −1 . In contrast, silvopastoral significantly higher amounted 36.33 12.27 region. On other hand, (p < 0.01) agrosilvopastoral than both had significant effect Nevertheless, less pronounced when comparing regions. These results underscore importance specific land management practices interacting with local conditions Therefore, policy makers should carefully consider interaction these factors implementing planning mitigation strategies West Africa.

Language: Английский

Citations

6

Multilevel driving factors affecting ecosystem services and biodiversity dynamics on the Qinghai-Tibet Plateau DOI

Hua Liu,

Shiliang Liu, Fangfang Wang

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 396, P. 136448 - 136448

Published: Feb. 13, 2023

Language: Английский

Citations

12

Effects of different grazing intensities on plant species diversity at different spatial scales in a desert steppe in Inner Mongolia DOI Creative Commons

Changfeng Xue,

Shijie Lv,

Yanling Wu

et al.

PeerJ, Journal Year: 2025, Volume and Issue: 13, P. e19087 - e19087

Published: March 19, 2025

The effect of grazing intensity on plant diversity has been widely studied. In this study, desert steppes with different intensities (no (CK), light (LG), moderate (MG), heavy (HG), and extremely (EG)) in Inner Mongolia were selected to study the changes species at spatial scales (α, β, γ diversity) α groups (dominant species, common rare species).The results showed that α, first decreased then increased increasing intensity, β was observed be most sensitive index intensity. Grazing had greatest impact least species. Therefore, are great significance for maintenance assessment biodiversity. We concluded leads a response diversity, phenomenon is mainly affected by could provide scientific bases protection sustainable steppes.

Language: Английский

Citations

0

Litter biomass was the main factor driving plant diversity following grazing exclusion in shrub – Grassland ecotone of eastern Qilian Mountains DOI
Jinlan Wang, Yuzhen Liu, Wen Li

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 125310 - 125310

Published: April 14, 2025

Language: Английский

Citations

0

Livestock turnover and dynamic livestock carrying capacity are crucial factors for alpine grassland management: The Qinghai-Tibetan plateau as a case study DOI
Luming Ding, Qi Yan, Peipei Liu

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121586 - 121586

Published: June 28, 2024

Language: Английский

Citations

3

Gridded Grazing Intensity Based on Geographically Weighted Random Forest and Its Drivers: A Case Study of Western Qinghai–Tibetan Plateau DOI
Zhihui Yang, Jie Gong, Xia Li

et al.

Land Degradation and Development, Journal Year: 2024, Volume and Issue: 35(17), P. 5295 - 5307

Published: Oct. 10, 2024

ABSTRACT Overgrazing affects the grass‐livestock balance and endangers grassland ecological security. Despite extensive studies conducted on identifying quantifying grazing intensity, there is still room for improvement in research gridding particularly areas with limited data Qinghai–Tibet Plateau. Therefore, we proposed a intensity spatialization method using geographically weighted random forest (GWRF) to gain further insights into spatial heterogeneity of alpine intensity. This incorporates multiple remote sensing related human activities natural factors, as well annual livestock statistics at township level over several years, while adequately considering autocorrelation Additionally, employed Lindeman Merenda Gold (LMG), geographical detector model, structural equation model (SEM) assess contribution influence path driving factors We also utilize partial correlation analysis dual‐phase mapping examine impact distribution The results demonstrate that GWRF‐based accurately predicts by demonstrating its consistency township‐scale ( R 2 = 0.92 p < 0.01), RMSE 1.07). provides valuable technical support pastoral availability. evaluate trends observe an increase Gar Purang counties. Furthermore, population density, normalized difference vegetation index (NDVI), temperature are identified three influential affecting areas. other indirectly influencing density NDVI levels, their interactions amplify overall influence. technique has demonstrated significant 45.92% 0.01) study area, emphasizing substantial Our novel framework spatially analyzing unraveling intricated mechanisms behind spatiotemporal changes,

Language: Английский

Citations

2

Spatialization method of monitoring grazing intensity: A case‐study of the Tibet Selinco basin, Qinghai‐Tibet Plateau DOI
Guilin Xi, Changhui Ma, Yaowen Xie

et al.

Land Degradation and Development, Journal Year: 2022, Volume and Issue: 34(5), P. 1311 - 1322

Published: Nov. 12, 2022

Abstract The problem of grassland degradation induced by livestock production at the expense local grasses has become a serious ecological worldwide. To maintain and sustainable development, extent intensity utilization needs to be better understood. In this study, model was developed monitor grazing in typical area (Tibet Selinco basin) Qinghai‐Tibet Plateau. Combining number township scale with their matching habitat location, biomass consumed assigned productivity supply map (NPP) using mathematical iterative algorithm from perspective different foraging habits livestock. objective accurately measure overall pressure on pasture as well estimate utilization. confirmed distinct spatial differences Tibet basin, which significantly low except southwestern region. found 150,000 km 2 , moderate occupied 130,000 overgrazing 20,000 accounting for 87% 13% total area, respectively. proposed can quantify human activities spatially provide reliable accurate scientific basis development environment management.

Language: Английский

Citations

10

How does grazing pressure affect feed intake and behavior of livestock in a meadow steppe in northern China and their coupling relationship DOI
Tianqi Yu, Ruirui Yan, Chu Zhang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168472 - 168472

Published: Nov. 10, 2023

Language: Английский

Citations

6