Agriculture Ecosystems & Environment, Journal Year: 2024, Volume and Issue: 372, P. 109103 - 109103
Published: June 6, 2024
Language: Английский
Agriculture Ecosystems & Environment, Journal Year: 2024, Volume and Issue: 372, P. 109103 - 109103
Published: June 6, 2024
Language: Английский
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
58Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 102996 - 102996
Published: Jan. 1, 2025
Language: Английский
Citations
1Discover 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
6Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 396, P. 136448 - 136448
Published: Feb. 13, 2023
Language: Английский
Citations
12PeerJ, 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
0Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 125310 - 125310
Published: April 14, 2025
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121586 - 121586
Published: June 28, 2024
Language: Английский
Citations
3Land 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
2Land 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
10The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168472 - 168472
Published: Nov. 10, 2023
Language: Английский
Citations
6