Agroecological Strategies for Insect Pollinator Conservation DOI
Rachid Sabbahi, Rachid Sabbahi, Mounsef Neffa

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 75 - 106

Published: Nov. 29, 2024

In the face of intensifying climate change, resilience agricultural systems and food security depend on health diversity insect pollinators. This chapter presents a nuanced exploration multifaceted impacts change pollinators, including geographic range shifts, phenological changes, altered interspecies interactions, which collectively threaten pollination services and, by extension, crop yields human nutrition. The proposal an integrated agroecological socioeconomic approach to pollinator conservation is at heart this discourse. also highlights economic social benefits proposes policy recommendations that align with national strategies international environmental commitments. Through synthesis current research case studies, identifies critical knowledge gaps defines future directions, emphasizing need for comprehensive monitoring assessment populations they provide.

Language: Английский

Adapting to climate extremes: Implications for insect populations and sustainable solutions DOI

Arjumand John,

Amaninder Kaur Riat,

Kaisar Ahmad Bhat

et al.

Journal for Nature Conservation, Journal Year: 2024, Volume and Issue: 79, P. 126602 - 126602

Published: March 16, 2024

Language: Английский

Citations

11
Contrasting Trends in Onset of Spring Green‐Up Between Grasslands and Forests in China DOI Creative Commons
Ying Hu, Bo Fu, Katerina Michaelides

et al.

Earth s Future, Journal Year: 2025, Volume and Issue: 13(3)

Published: March 1, 2025

Abstract Spring vegetation phenology (green‐up onset date, GUD) exhibits notable sensitivity to climate change, serving as a critical indicator of ecosystem dynamics. However, long‐term changes and drivers GUD remain unclear. Here we showed that satellite‐derived averaged over China forests grasslands advanced by −1.3 ± 0.4 (mean SD) days decade −1 during 1982–2022, but with contrasting trends between (−5.0 0.6 ) (2.8 ), despite similarly increasing temperature precipitation. Such were caused different responses higher preseason mean more total Moreover, sensitivities precipitation patterns respect spatial gradient background conditions grasslands. Our study elucidates mechanisms behind responding which could help optimize land‐management strategies anticipate distribution under change.

Language: Английский

Citations

1
SSGAN: Cloud removal in satellite images using spatiospectral generative adversarial network DOI
Sushil Ghildiyal, Neeraj Goel, Simrandeep Singh

et al.

European Journal of Agronomy, Journal Year: 2024, Volume and Issue: 161, P. 127333 - 127333

Published: Sept. 13, 2024

Language: Английский

Citations

5
Advances in vegetation mapping through remote sensing and machine learning techniques: a scientometric review DOI Creative Commons

Charles Matyukira,

Paidamwoyo Mhangara

European Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 57(1)

Published: Oct. 30, 2024

This study explores the rapid growth in remote-sensing technologies for vegetation mapping, driven by integration of advanced machine learning techniques. An analysis publication trends from Scopus indicates significant expansion 2019 to 2023, reflecting technological advancements and improved accessibility. Incorporating algorithms like random forest, support vector machines, neural networks, XGBRFClassifier has enhanced monitoring dynamics at various scales. progress supports addressing global environmental challenges such as climate change providing timely data conservation strategies. China leads research output, followed United States India, underscoring field's significance. Key journals, including "Remote Sensing," conferences IGARSS, play pivotal roles disseminating findings. The majority publications are articles, emphasizing reliance on original empirical data. multidisciplinary nature is evident, with contributions spanning Earth Sciences, Agriculture, Environmental Science, Computer Science. Visualisations using VOSviewer reveal interconnected themes, highlighting topics land use, change, aboveground biomass. findings emphasise importance continued international collaboration develop innovative solutions sustainability.

Language: Английский

Citations

5
Characterization of soundscapes with acoustic indices and clustering reveals phenology patterns in a subtropical rainforest DOI
Yen‐Chun Lai,

Sheng-Shan Lu,

Ming‐Tang Shiao

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113126 - 113126

Published: Jan. 27, 2025

Language: Английский

Citations

0
Ecological Stress Assessment on Vegetation in the Al-Baha Highlands, Saudi Arabia (1991–2023) DOI Open Access

Asma A. Al-Huqail,

Zubairul Islam

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2854 - 2854

Published: March 24, 2025

Climate change significantly stresses cold-adapted and stenothermic plant species in high-altitude mountain ecosystems. The diverse at elevations ranging from 1324 to 2527 m above mean sea level (AMSL) provide an ideal setting for investigating these impacts the Al-Baha Highlands, Saudi Arabia. Therefore, this study has three aims: first, estimate vegetation cover 2023 its relationship with environmental factors; second, analyze long-term trends (1991–2023) key spectral indices, including normalized difference index (NDVI), water (NDWI), open (NDWIw), land surface temperature (LST), using Kendall tau-b method; third, model ecological stress via a generalized additive (GAM) assess impact on vegetation. We utilized Landsat 5/7/8 (C2 SR T1) indices Copernicus DEM topographic hydrological analysis. results indicate significant roles of LST, elevation, distance seasonal streams shaping patterns (p < 2 × 10−16). There were negative NDVI (91.66 km2), NDWI (138 NDWIw (804 km2) 0.05), whereas LST exhibited positive (116.15 0.05). GAM achieved high predictive accuracy (R2 = 0.979), capturing nonlinear relationships between predictors score. Severe occurred zones (>1700 AMSL) south-facing slopes due increased declining NDWI, impacting such as Juniperus procera. Hypothesis testing was used variations NDVI, trends, highland lower-elevation areas, revealing highly differences 2.2 This provides novel insights into dynamics relation altitude slope aspects, offering actionable recommendations sustainable ecosystem management, targeted reforestation resource optimization mitigate preserve biodiversity.

Language: Английский

Citations

0
Research on the Spatiotemporal Distribution of Vegetation Phenology in Suzhou City Based on Local Climate Zones and Urban–Rural Gradients DOI Open Access
P.F. Jiang,

Ze Zhang,

Xiangdong Xiao

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2970 - 2970

Published: March 27, 2025

Vegetation phenology greatly impacts urban development and climate change responses. However, research on phenological characteristics in small-scale areas is limited, especially concerning their spatiotemporal variations. This study analyzes the indicators SOS, EOS, LOS of vegetation Suzhou from 2003 to 2022, utilizing Local Climate Zones (LCZs) Urban–Rural Gradients (URGs) explore variations correlations with various LCZs URGs. Subsequently, one-way ANOVA Honest Significant Difference (HSD) test are employed compare applicability two analytical methods. The results show that Suzhou, exhibit trends advancement, delay, extension, annual averages 1.02 days earlier, 0.55 later, 1.57 longer. Compared land cover types, LCZ built types earlier later longer LOS. As gradient shifts city center suburbs, shows gradually delayed advanced shortened Additionally, differences associated more significant statistically relevant than those linked confirms urbanization’s impact provides new insights for future research. findings assist plant management, regulation, living environment improvement, contributing sustainable resilient cities.

Language: Английский

Citations

0
Phenological Plant Pattern in the Topographic Complex Karstic Landscape of the Northern Dinaric Alps DOI Creative Commons
Aljaž Jakob, Mateja Breg Valjavec, Andraž Čarni

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(7), P. 1093 - 1093

Published: April 1, 2025

Vegetation phenology has lately gained attention in the context of studying human-induced climate change and its effects on terrestrial ecosystems. It is typically studied various regional temporal scales. This research focused microscale dolines Northernmost part Dinaric Alps. The aim was to determine timing flowering onset relate it topographic ecological conditions. We (1) floristic gradient along N-W transects divided 2 m × plots, from top slopes bottom dolines, identified discrete groups relation this (2) provided their diagnostic species communities. results indicate that early spring ground vegetation lower stimulated by high moisture nutrient availability, as well open canopy mesophilous deciduous forests. upper karst plateau starts later, which due precipitation peak May/June higher temperatures light availability thermophilous delayed late summer rocky crevices places a particular physiology harsh site pattern doline inverse general patterns phenology. Further study role soils should be made impact

Language: Английский

Citations

0
Assessing vegetation phenology dynamics in West African rangelands: Implications for livestock sustainability and transhumance DOI Creative Commons
Enrique Estefania-Salazar, Eva Iglesias

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103138 - 103138

Published: April 1, 2025

Language: Английский

Citations

0
Long‐term trends in global flowering phenology DOI
David Williamson, Tommy Prestø, Kristine Bakke Westergaard

et al.

New Phytologist, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Summary Flowering phenology is an indicator of the impact climate change on natural systems. Anthropogenic has progressed over more than two centuries, but ecological studies are mostly short in comparison. Here we harness large‐scale digitization herbaria specimens to investigate temporal trends flowering at a global scale. We trained convolutional neural network model classify images angiosperm herbarium as being flower or not flower. This was used infer across 8 million spanning century and scales. investigated mean date season duration within ecoregions. found high diversity seasonality ecoregions with median absolute shift 2.5 d per decade 1.4 duration. Variability higher low latitudes latitudes. Our study demonstrates value digitized for understanding dynamics time change. The variability phenological likely reflects effects combination shifts temperature precipitation seasonality, together lower photoperiodic constraints flowering.

Language: Английский

Citations

0