Article
Ecology
Kotaro Kagawa, Gaku Takimoto, Ole Seehausen
Summary: Hybridization can promote ecological speciation through generating novel genetic variation and creating new mating phenotypes. This study suggests that transgressive segregation of mating traits can drive incipient hybrid speciation, with moderate continued immigration facilitating recurrent hybridization events. Recurrent hybridization leads to the rapid stochastic evolution of mating phenotypes until a novel phenotype dominates the hybrid population, resulting in reproductive isolation from parental lineages. However, excessive hybridization hinders the evolution of reproductive isolation by producing mating phenotypes allowing interbreeding with parental lineages. The study also identifies conditions for the long-term persistence of hybrid species.
Article
Plant Sciences
Dario Kremer, Edith Stabentheiner, Faruk Bogunic, Dalibor Ballian, Eleni Eleftheriadou, Danijela Stesevic, Vlado Matevski, Vladimir Randelovic, Daniella Ivanova, Mirko Ruscic, Valerija Dunkic
Summary: The study examined trichome types, distribution, and pollen morphology in nine Micromeria taxa and five closely related Clinopodium species from the Lamiaceae family of the Balkan Peninsula. The results revealed differences in trichome structures and supported the recent transfer of Micromeria species from the section Pseudomelissa to the genus Clinopodium.
Article
Plant Sciences
Milada Ciamporova, Miriam Nadubinska, Viera Banasova, Eva Durisova, Veronika Zelinova, Othmar Horak, Daniela Gruber, Irene K. Lichtscheidl
Summary: The pseudometallophyte Rumex acetosella L. inhabits regions with high soil concentrations of zinc, lead, and copper. Comparisons between populations from contaminated and non-contaminated soils in Slovakia showed that metallicolous populations have higher metal contents, stomata and trichome density, as well as complex labyrinth structures within the cell wall. These findings suggest plant adaptations to metal stress for survival in contaminated environments.
Article
Forestry
Chaochun Wang, Huimin Gong, Miao Feng, Chunlian Tian
Summary: This study analyzed 15 traits of Eucommia ulmoides Oliver, a tree species endemic to China, and found abundant phenotypic variations among ten natural populations, with the variation within populations being the main source. The populations were divided into two groups based on geographic and climatic factors. Average annual temperature and rainfall were found to be the key factors influencing phenotypic variation. These findings have important implications for genetic improvement, diversity conservation, and resource management.
Article
Agronomy
Austin Himes, Paul Emerson, Rose McClung, Heidi Renninger, Todd Rosenstiel, Brian Stanton
Summary: Intensively managed poplar plantations have the potential to provide renewable biomass for bioenergy production, with clonal varieties being crucial for productivity on water-limited, marginal agricultural land. While carbon isotope discrimination is commonly used for selecting drought-resistant varieties, this study found that other traits like abaxial stomatal density were more accurate predictors of varietal performance under drought stress. A composite of all nine variables proved to be the best indicator of drought resistance in hybrid poplar varieties.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Plant Sciences
Han Wang, Runxi Wang, Sandy P. Harrison, Iain Colin Prentice
Summary: Leaf morphological traits vary systematically along climatic gradients, and their variations are influenced by climate conditions and phylogenetic factors. In wet climates, leaves are generally large, mid- to dark green, and have drip tips, while in dry climates, leaves tend to be small and glaucous. Seasonal climates are associated with thinner leaves with serrated edges, while less seasonal climates have thicker and entire leaves. In colder climates, leaves are thicker, involute, and hairy, while in warmer climates, leaves have distinct surface structures. Distinctive leaf clusters are linked to the driest and most seasonal climates, while multiple leaf clusters co-occur in wetter climates.
JOURNAL OF ECOLOGY
(2022)
Article
Plant Sciences
Andrew J. F. Cox, Sebastian Gonzalez-Caro, Patrick Meir, Iain P. Hartley, Zorayda Restrepo, Juan C. Villegas, Adriana Sanchez, Lina M. Mercado
Summary: This study found that cold-affiliated species in Andean tropical montane forests struggle to adapt their leaf functional traits to warming, while warm-affiliated species are able to adjust their traits from acquisitive to conservative strategies in response to cooling. This suggests that warm-affiliated species may have a competitive advantage under climate change, potentially leading to compositional shifts in these ecosystems.
PLANT CELL AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Antonello Prigioniero, Alessia Postiglione, Daniela Zuzolo, Ulo Niinemets, Maria Tartaglia, Pierpaolo Scarano, Mariano Mercurio, Chiara Germinario, Francesco Izzo, Marco Trifuoggi, Maria Toscanesi, Rosaria Sciarrillo, Carmine Guarino
Summary: This work characterized the leaf surface functional traits that are potentially useful for air phytoremediation of particulate matter (PM) and polycyclic aromatic hydrocarbons (PAH) in 28 woody species. The researchers assessed the role of stomata, trichomes, and cuticle traits in phytoremediation by examining correlations with the species-specific ability to sequester and retain airborne pollutants. Significant differences were found between species in the arrangement of functional traits, concentrations, and daily uptake of pollutants. The results highlight the importance of leaf surface functional traits in nature-based solutions and provide novel insights into their relationships with plant species phytoremediation potential.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Agronomy
Yuan Zhong, Xiaoqiang Zhao, Wenli Li, Wenqi Zhou
Summary: This study identified 72 QTLs related to leaf shape, with the majority identified under drought conditions. Thirty-three joint QTLs were found through joint analysis, with 7 showing interactions across different environments and 11 pairs exhibiting additive-by-additive effects. In addition, potential QTLs for improving maize leaf development, as well as meta-QTLs and candidate genes, were also discovered.
GENETIC RESOURCES AND CROP EVOLUTION
(2021)
Article
Environmental Sciences
Baoming Du, Yanhua Zhu, Hongzhang Kang, Chunjiang Liu
Summary: The study investigated stomatal traits of Quercus variabilis populations and found that stomatal density and size were closely related to environmental factors and coordinated with other leaf traits in response to environmental changes. Stomatal density and leaf mass per area increased with decreasing precipitation, while stomatal size decreased with increasing temperature.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Plant Sciences
Carlos Serrano-Mejia, Rafael Bello-Bedoy, Maria Clara Arteaga, Guillermo R. Castillo
Summary: During domestication, not only selected traits but also other fitness-related traits may change. A study on Capsicum annuum found that leaf epidermis structure and function were affected by domestication. The wild relative had higher leaf trichome density, and herbivores showed higher mortality when feeding on the wild relative and some varieties. This suggests that domestication resulted in concerted changes in defensive traits.
Article
Anatomy & Morphology
Deibson Pereira Belo, Maria Teresa Buril, Edinalva Alves Vital dos Santos, Emilia Arruda, Rafael Batista Louzada
Summary: Morphoanatomical studies were conducted on Jacquemontia evolvuloides to determine its taxonomic groupings. The analysis of leaf and stem morphology led to the identification of five morphotypes within 22 populations. Diagnostic characters such as paracytic stomata, laticiferous canals, and stellate trichomes were observed. Additionally, new findings on epicuticular waxes, palisade parenchyma-like layer, glandular trichome classifications, and new types of stomata were reported for Jacquemontia for the first time. These results provide valuable insights into the classification and taxonomy of Jacquemontia.
MICROSCOPY RESEARCH AND TECHNIQUE
(2023)
Article
Forestry
Runan Zhao, Xiaojie Chu, Qianqian He, Wei Liu, Zunling Zhu
Summary: Carpinus tschonoskii exhibits rich leaf phenotypic variation, with leaf area and petiole length showing the most variation. Leaf index and primary lateral veins are stable phenotypes. Leaf phenotypic traits show consistency with geographical location, with plants in high latitudes having longer leaves and plants in low temperatures having longer leaves and larger leaf perimeter. Plants in areas with less rainfall have longer petioles.
JOURNAL OF FORESTRY RESEARCH
(2022)
Article
Plant Sciences
Adglecianne S. Melo, Tamires S. Yule, Vanessa A. Barros, Rebeca Rivas, Mauro G. Santos
Summary: Plants have developed strategies, including anatomical adjustments, to cope with stressful environmental conditions like drought and salinity. Calotropis procera, known for its robust performance under such stress, changes leaf attributes to reduce water loss and improve water use efficiency, ultimately enhancing photosynthetic rate. This anatomical plasticity contributes to the plant's physiological adaptation and efficient stomatal control under water-limited conditions.
ACTA PHYSIOLOGIAE PLANTARUM
(2021)
Article
Plant Sciences
Jocelyn Navarro, John M. Powers, Ayaka Paul, Diane R. Campbell
Summary: Plant traits can respond to climate change, but the plasticity of these traits can be adaptive or maladaptive. Reductions in summer precipitation lead to decreased stomatal conductance and intrinsic water-use efficiency, but increased leaf water content, while earlier snowmelt reduces soil moisture, photosynthetic rate, and stomatal conductance, and increases trichome density and intrinsic water-use efficiency.
Article
Forestry
Joshua J. Picotte, Birgit Peterson, Gretchen Meier, Stephen M. Howard
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2016)
Article
Environmental Sciences
Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, Joshua Picotte, Daniel M. Howard, Kelcy Smith, Kurtis J. Nelson
Article
Environmental Sciences
Todd J. Hawbaker, Melanie K. Vanderhoof, Yen-Ju Beal, Joshua D. Takacs, Gail L. Schmidt, Jeff T. Falgout, Brad Williams, Nicole M. Fairaux, Megan K. Caldwell, Joshua J. Picotte, Stephen M. Howard, Susan Stitt, John L. Dwyer
REMOTE SENSING OF ENVIRONMENT
(2017)
Article
Forestry
Joshua J. Picotte, Kevin M. Robertson
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2011)
Article
Environmental Sciences
Joshua J. Picotte, Kevin Robertson
Article
Environmental Sciences
Sanath Sathyachandran Kumar, John Hult, Joshua Picotte, Birgit Peterson
Article
Ecology
Joshua J. Picotte, Krishna Bhattarai, Danny Howard, Jennifer Lecker, Justin Epting, Brad Quayle, Nate Benson, Kurtis Nelson
Article
Ecology
Mohamad Alipour, Inga La Puma, Joshua Picotte, Kasra Shamsaei, Eric Rowell, Adam Watts, Branko Kosovic, Hamed Ebrahimian, Ertugrul Taciroglu
Summary: Accurate estimation of fuels is crucial for wildland fire simulations and land management decision-making. A large-scale surface fuel identification model using a custom deep learning framework was developed, which can combine multimodal data. Deep learning was used to extract information from multispectral signatures, high-resolution imagery, and biophysical climate and terrain data for end-to-end training on labeled data. The system was trained using fuel pseudo-labels created through random geospatial sampling of existing fuel maps in California. Promising results were obtained on independent test sets, with an overall accuracy ranging from 55% to 75%, depending on the granularity of the included fuel types. High-resolution imagery improved the classification performance at all levels.
Article
Ecology
Melanie K. Vanderhoof, Todd J. Hawbaker, Casey Teske, Andrea Ku, Joe Noble, Josh Picotte
Summary: By developing a machine learning algorithm specifically for wetland burned areas and applying it to Sentinel-2 archive, the observation accuracy of wetland burned areas in the region has been effectively improved. Compared to the Landsat-8 Burned Area Product, Sentinel-2 has lower error rates for burned areas and higher mapping accuracy within wetland fire perimeters.
Article
Ecology
Joshua J. Picotte, Daryn Dockter, Jordan Long, Brian Tolk, Anne Davidson, Birgit Peterson
Article
Ecology
Sanath Sathyachandran Kumar, Joshua J. Picotte, Birgit Peterson
Article
Ecology
Joshua J. Picotte, David M. Rosenthal, Jennifer M. Rhode, Mitchell B. Cruzan