Results 121 to 130 of about 7,403 (276)

Advancing Sclerotinia risk forecasting for winter rapeseed in Germany: integrating crop phenology and disease development into a decision support system

Pest Management Science, EarlyView.
Integrating crop phenology and sclerotia germination models into SkleroPro improved Sclerotinia risk prediction accuracy from 34% to 66%, optimizing fungicide timing and supporting sustainable winter rapeseed production. Abstract BACKGROUND Sclerotinia stem rot, caused by Sclerotinia sclerotiorum, threatens winter rapeseed (Brassica napus) production ...
Vera Krause, Nazanin Zamani‐Noor, Lena Müller, Hella Kehlenbeck, Anto Raja Dominic   +4 more
wiley   +1 more source

Disease control in oilseed rape: Current insights and perspectives for next‐generation integrated pest management

Pest Management Science, EarlyView.
Winter oilseed rape in Europe suffers frequent pathogen losses. This review outlines key integrated pest management (IPM) strategies, rotation, residue and tillage management, optimized sowing, resistance, and targeted fungicides supported by forecasting.
Jon S West, Małgorzata Jędryczka, Nazanin Zamani‐Noor   +2 more
wiley   +1 more source

Intercropping mitigates incidence of the oilseed rape insect pest complex

Pest Management Science, EarlyView.
Intercropping reduces the incidence of the oilseed rape insect pest complex with a significant impact of the direct visual and physical disruption provided by the companion plant. Abstract BACKGROUND Oilseed rape (OSR, Brassica napus) is a major crop requiring numerous phytosanitary treatments.
Laurie Magnin, Ivan Hiltpold, Alexandra Jullien, Alice Baux   +3 more
wiley   +1 more source

Phenological control of vegetation biophysical feedbacks to the regional climate

Geography and Sustainability
Phenology shifts influence regional climate by altering energy, and water fluxes through biophysical processes. However, a quantitative understanding of the phenological control on vegetation’s biophysical feedbacks to regional climate remains elusive ...
Lingxue Yu, Ye Liu, Fengqin Yan, Lijie Lu, Xuan Li, Shuwen Zhang, Jiuchun Yang   +6 more
doaj   +1 more source

A multimodel intercomparison study of variable‐resolution global models with grid refinement over the Arctic and Antarctic

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff, Dörthe Handorf, Raphael Köhler, Xavier Levine, René R. Wijngaard, Gareth J. Marshall, Alexey Yu. Karpechko, Ryan S. Williams, Priscilla A. Mooney   +8 more
wiley   +1 more source

Land Surface Phenology for Africa - A Case of the Republic of Ghana

Journal of Geomatics
Understanding Earth’s surface phenology at different spatiotemporal scales is fundamental in evaluating the interaction between biogeographical distributions and climate dynamics. Despite remarkable achievements in remote sensing and Earth-observing technologies, there is a deficiency of African studies in land surface phenology (LSP). The article is a
Michael Stanley Peprah, Raymond Quardwo Awase, Abigail Odoom, Michael Angbang Mwin   +3 more
openaire   +1 more source

Identification of initial vegetation and habitat changes in small temperate fens using remote sensing

Remote Sensing in Ecology and Conservation, EarlyView.
Temperate fens with only incipient, subtle signs of deterioration can be reliably identified using Sentinel‐2 and aerial imagery, which sensitively detect early productivity‐related structural changes. Abstract Small temperate fens rank among the most endangered habitats in temperate Europe.
Lubomír Tichý, Patricia Singh, Petra Hájková, Anna Müllerová, Tomáš Peterka, Zuzana Plesková, Karel Prach, Adéla Široká, Kamila Vítovcová, Michal Hájek   +9 more
wiley   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source

Retrospective image analysis for long‐term demography using Google Earth imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa, Garrett Cohen, Roberto Salguero‐Gómez   +2 more
wiley   +1 more source

Tracking Wintertime Behaviour of Emperor Penguins Using High‐Resolution Synthetic Aperture Radar Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
Using 25–30 cm Umbra synthetic aperture radar (SAR) imagery combined with ground validation of our observations, we introduce a method to track the phenology of emperor penguins during the Antarctic winter. We successfully identified events in the breeding cycle, which were previously impossible to observe during the complete darkness of Antarctic ...
Michelle LaRue, Daniel Price, Sarah Wiki‐Bennett, Charles K. Lee, B. Jack Pan, Kyle McCloud, Heather Cruickshank, Alex Ponniah, Daniel Zitterbart, Alexander Winterl, Céline Le Bohec, Rose Foster‐Dyer, Peter Fretwell   +12 more
wiley   +1 more source