Results 181 to 190 of about 19,419 (296)

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

Developmental constraints mediate the reversal of temperature effects on the autumn phenology of European beech after the summer solstice. [PDF]

Elife
Rebindaine D, Crowther TW, Renner SS, Wu Z, Zou Y, Mo L, Ma H, Bucher R, Zohner CM.   +8 more
europepmc   +1 more source

Open letter: A call to integrate plant regeneration into sustainability science and policy

PLANTS, PEOPLE, PLANET, EarlyView.
Fernando A. O. Silveira, Angelino Carta, Roberta L. C. Dayrell, Eduardo Fernández‐Pascual, Magda Garbowski, Thomas Hornick, Jitka Klimešová, Lotte Korell, Emma Ladouceur, Julie Larson, Alexandra N. Muellner‐Riehl, Ana Prohaska, Sergey Rosbakh, Christoph Rosche, Christiane Roscher, Mandy Slate, Jeronimo Vazquez‐Ramirez   +16 more
wiley   +1 more source

Addressing Biases in Ice Jam Observations by Integrating Multi‐Source Data in a Forested Fluvial Landscape, Southern Quebec

River Research and Applications, EarlyView.
ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher, Étienne Boucher, Rachid Lhissou, Karem Chokmani, Christophe Kinnard   +4 more
wiley   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

Native shrubs senesce earlier and faster than non-native shrubs in a temperate deciduous woodland in south-eastern Wisconsin, USA. [PDF]

Int J Biometeorol
Donnelly A, Jatmiko EM.
europepmc   +1 more source

Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images

Remote Sensing in Ecology and Conservation, EarlyView.
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman, Howard E. Epstein, Xi Yang, Roderick Walker   +3 more
wiley   +1 more source

Acquisitive plants exhibit stronger phenological shifts in response to warming: insights from meta-analysis and long-term monitoring. [PDF]

Nat Commun
Xiong K, Reich PB, Ciais P, Lu C, Zhou H, Wang X, Peñuelas J, Wu C, Liu H.   +8 more
europepmc   +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

Two decades of resurrection studies: What have we learned about contemporary evolution of plant species? [PDF]

Am J Bot
Pennington LK, Sheth SN, Franks SJ, Anderson JT, Hamann E.   +4 more
europepmc   +1 more source