Article
Environmental Sciences
Matthew Haworth, Giovanni Marino, Alessandro Materassi, Antonio Raschi, Charles P. Scutt, Mauro Centritto
Summary: The limits of stomatal conductance in plants are determined by the size and density of stomata. There is an inverse relationship between stomatal size and density in both fossil and living plants. However, the functional significance of this relationship is still unclear, and it may reflect geometric constraints rather than physiological control. Understanding the tradeoffs involved in stomatal size and density and their interaction with atmospheric CO2 levels is crucial for developing more productive and climate-resilient crops.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Plant Sciences
Gaochao Cai, Andrea Carminati, Sean M. Gleason, Mathieu Javaux, Mutez Ali Ahmed
Summary: The efficiency-safety tradeoff in plant water transport and stomatal regulation has been studied. Recent research revealed that plants with higher maximum stomatal conductance (g(max)) are more sensitive to stomatal closure during soil drying, resulting in less negative leaf water potential at 50% g(max) (psi(gs50)). This tradeoff can be explained by the effects of soil-plant hydraulics on water movement and plant hydraulic properties, such as conductance and embolism resistance.
PLANT CELL AND ENVIRONMENT
(2023)
Article
Plant Sciences
Weiwei Yang, Junqi Zhu, Cornelis van Leeuwen, Zhanwu Dai, Gregory A. Gambetta
Summary: Climate and water availability significantly impact grape yield and quality. Developing models to predict these impacts is challenging. The GrapevineXL model, calibrated and validated with field data, can accurately predict grape productivity and quality using 14 key parameters under diverse environmental conditions.
HORTICULTURE RESEARCH
(2023)
Article
Agronomy
Quentin Beauclaire, Bernard Heinesch, Bernard Longdoz
Summary: Soil water stress is a major constraint on agrosystem functioning, and this study investigated its effects on GPP limitations of potato crops. The results showed that the limitations originate from non-stomatal causes, emphasizing the need to improve the representation of photosynthesis processes in models for accurate predictions during drought.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Review
Environmental Sciences
Faqrul Islam Chowdhury, Carles Arteaga, Mohammed Shafiul Alam, Iftakharul Alam, Victor Resco de Dios
Summary: Incomplete stomatal closure during the night leads to significant water losses. Negative effects of vapour pressure deficit, predawn water potential, air temperature, and salinity on stomatal conductance were found, with the circadian clock playing a significant role.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Plant Sciences
Maria Karatassiou, Panagiota Karaiskou, Eleni Verykouki, Sophia Rhizopoulou
Summary: This study compared the leaf hydraulic functionality of co-occurring evergreen and deciduous shrubs grown on Olympus Mountain. The results demonstrated different hydraulic tactics between the deciduous and evergreen shrubs, with higher hydraulic conductance and lower stomatal conductance observed in the deciduous plants. Positive correlations were also found between water potential and transpiration in the deciduous shrubs.
Article
Plant Sciences
Nikolaos Konstantis, Konstantinos Koskorellos, Areti Balou, Athina Paravolidaki, George Garantziotis, Christina Eleni Koulopoulou, Athanasios Koulopoulos, George Zervoudakis
Summary: This study measured physiological parameters of wounded plants at different developmental stages and found that the plants' response to leaf wounding varied depending on the developmental stage. Basil plants at the vegetative stage were found to be more tolerant to leaf wounding compared to those at the budding and flowering stages.
Review
Biodiversity Conservation
Julien Lamour, Kenneth J. Davidson, Kim S. Ely, Gilles Le Moguedec, Andrew D. B. Leakey, Qianyu Li, Shawn P. Serbin, Alistair Rogers
Summary: Stomatal conductance (g(sw)) is essential for simulating water and CO2 exchange in plants and ecosystems. However, the assumption of a linear relationship between g(sw) and photosynthetic CO2 assimilation (A) is challenged by rare measurements of leaf-level g(sw) response curves. In this study, we found that the relationship between g(sw) and A was not linear, especially at high irradiance. We modified the Unified Stomatal Optimization (USO) model to account for this nonlinearity, improving the estimation of conductance parameters and uncovering previously undetectable relationships between stomatal slope parameter and other leaf traits. This empirical modification of the USO model has the potential to enhance the measurement and estimation of g(sw) parameters and plant and ecosystem-scale water and CO2 fluxes.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Horticulture
Ruiqin Bai, Yuman Lin, Yiwei Jiang
Summary: Salinity stress can adversely affect plant growth and physiology, as shown in this study on lily hybrids. Different levels of salinity stress resulted in decreased growth, photosynthetic rate, and antioxidant activity in the lily hybrids, with some hybrids exhibiting higher tolerance and maintaining better physiological functions under high salinity conditions.
SCIENTIA HORTICULTURAE
(2021)
Article
Forestry
Luiz Gustavo Martinelli Delgado, Richardson Barbosa Gomes da Silva, Monica Moreno Gabira, Angelica Lino Rodrigues, Danilo Simoes, Luiz Fernando Rolim de Almeida, Magali Ribeiro da Silva
Summary: This study analyzed the effects of different mean leaf angles on irrigation efficiency and physiological responses of tree seedlings. The results showed that tree species with positive mean leaf angles exhibited improved physiological responses with smaller irrigation depths, while species with negative mean leaf angles required larger irrigation depths to maintain normal physiological responses.
Article
Environmental Sciences
Muhammad Shahinur Alam, David William Lamb, Nigel W. M. Warwick
Summary: Estimating transpiration as an individual component of canopy evapotranspiration using a theoretical approach simplifies the complex process of partitioning evapotranspiration. In an experimental setting, a model based on intercepted radiation was developed to predict transpiration and validated through actual measurements, showing high consistency within different LAI ranges.
Article
Plant Sciences
Jiaxin Jin, Ying Liu, Weiye Hou, Yulong Cai, Fengyan Zhang, Ying Wang, Xiuqin Fang, Lingxiao Huang, Bin Yong, Liliang Ren
Summary: In this study, the authors calibrated the key parameters of light use efficiency and Ball-Berry models for sunlit and shaded leaves in temperate deciduous broadleaved forests. They found that the season-specific dynamic parameters model better simulated gross primary production and transpiration compared to the entire growing season-based fixed parameters model.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Agronomy
Jiaxin Jin, Tao Yan, Han Wang, Xuanlong Ma, Mingzhu He, Ying Wang, Weifeng Wang, Fengsheng Guo, Yulong Cai, Qiuan Zhu, Jin Wu
Summary: This study found seasonal variations in G(1) and its direct correlation with leaf area index (LAI) phenology using data from temperate forest FLUXNET sites. The use of LAI for parameterizing G(1) successfully reduced uncertainty in transpiration modeling.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Agronomy
Anowarul Bokshi, Rebecca J. Thistlethwaite, Edward D. Chaplin, Erasmus Kirii, Richard M. Trethowan, Daniel K. Y. Tan
Summary: High temperatures and increasing CO2 concentrations pose a major threat to global wheat production. This research evaluated Australian wheat cultivars for heat tolerance and identified physiological traits associated with adaptation to high temperatures. The findings provide valuable candidates for breeding and selecting wheat cultivars that can better adapt to changing climate conditions.
JOURNAL OF AGRONOMY AND CROP SCIENCE
(2022)
Article
Plant Sciences
David Israel, Shanjida Khan, Charles R. Warren, Janusz J. Zwiazek, T. Matthew Robson
Summary: The roles of different plasma membrane aquaporins in leaf-level gas exchange of Arabidopsis thaliana are influenced by the growth environment, with PIPs contributing more to g(s) under low humidity conditions, and AtPIP2;5 possibly playing a role in regulating CO2 membrane permeability.
JOURNAL OF EXPERIMENTAL BOTANY
(2021)
Article
Computer Science, Information Systems
Davit Marikyan, Savvas Papagiannidis, Eleftherios Alamanos
Summary: This study addresses the outcomes of technology use when it falls short of expectations and the coping mechanisms users may use in such circumstances. By adopting Cognitive Dissonance Theory, the study explores how negative disconfirmation of expectations can result in positive outcomes and how negative emotions impact the selection of dissonance reduction mechanisms. The study finds that post-disconfirmation dissonance leads to feelings of anger, guilt, and regret, which correlate with dissonance reduction mechanisms, ultimately affecting satisfaction and well-being.
INFORMATION SYSTEMS FRONTIERS
(2023)
Article
Remote Sensing
Saverio Francini, Ronald E. McRoberts, Giovanni D'Amico, Nicholas C. Coops, Txomin Hermosilla, Joanne C. White, Michael A. Wulder, Marco Marchetti, Giuseppe Scarascia Mugnozza, Gherardo Chirici
Summary: Forest disturbance monitoring is crucial for understanding greenhouse gas emissions and mitigating climate change. The use of stratified estimators can help reduce errors in estimating disturbance areas. This study presents a semi-automated procedure using Google Earth Engine for mapping and estimating forest disturbance areas.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Txomin Hermosilla, Michael A. Wulder, Joanne C. White, Nicholas C. Coops
Summary: Deriving land cover from remotely sensed data is essential for operational mapping and reporting programs, benefiting from free imagery access and improved technological capabilities. The accuracy of land cover maps depends on calibration data, classification models, and implementation methods.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Biodiversity Conservation
Paul W. Hacker, Nicholas C. Coops
Summary: Accurate and timely identification of invasive plant species is crucial for successful management practices. This study found that remotely sensed leaf functional traits can differentiate C. scoparius from other common plant species, providing new possibilities for addressing the issue of Scotch broom invasion.
Article
Ecology
Evan R. Muise, Nicholas C. Coops, Txomin Hermosilla, Stephen S. Ban
Summary: Protected areas are important for conserving biodiversity and ecosystem services, but current metrics for assessing their effectiveness and representation are inadequate. This study analyzed the protected area network in British Columbia, Canada using remote sensing data and freely available information, and found biases towards high-elevation and alpine areas. Analysis of forest structural attributes suggests establishing additional protected areas to ensure representation of different forest structure regimes across the province.
ECOLOGICAL APPLICATIONS
(2022)
Article
Biodiversity Conservation
Paul W. Hacker, Nicholas C. Coops, Etienne Laliberte, Sean T. Michaletz
Summary: The association between leaf chemicals and reflectance values can be used to model and predict individual functional traits. The accuracy of prediction is affected by spectral mixing, particularly for traits such as percent nitrogen and equivalent water thickness. Species-specific relationships are more important for nitrogen content and water thickness, while a general model can be more applicable for traits like chlorophyll concentration and leaf mass per area. Different combinations of plant species in a mixed spectrum result in varied prediction errors.
ECOLOGICAL INDICATORS
(2022)
Article
Forestry
Nicholas C. Coops, Piotr Tompalski, Tristan R. H. Goodbody, Alexis Achim, Christopher Mulverhill
Summary: This article aims to develop a conceptual framework for forestry inventory update, known as a 'living inventory'. The framework includes the critical components of inventory and growth monitoring, change detection, and error propagation. By integrating advanced remote sensing data and satellite data, it provides methods for updating forest condition information, predicting future growth and yield, and guiding forest management and silvicultural decisions.
Article
Remote Sensing
Martin Queinnec, Nicholas C. Coops, Joanne C. White, Verena C. Griess, Naomi B. Schwartz, Grant McCartney
Summary: In this study, dominant species groups in a large boreal forest were mapped by combining area-based and individual tree metrics derived from LiDAR data with multispectral information from Sentinel-2 imagery. The study found that variables such as reflectance in the red edge region, tree crown area and volume, and cumulative distribution of LiDAR returns in the canopy were important for discriminating between species groups.
CANADIAN JOURNAL OF REMOTE SENSING
(2023)
Article
Remote Sensing
Levi Keay, Christopher Mulverhill, Nicholas C. C. Coops, Grant McCartney
Summary: The advent of CubeSat constellations has revolutionized the ability to observe Earth systems through time. This study developed and implemented a method for the spatial and temporal detection of forest harvest operations using images from the PlanetScope constellation. Results indicate that forest harvesting can be detected with relative accuracy, providing previously unavailable levels of spatial and temporal detail for forest stakeholders.
CANADIAN JOURNAL OF REMOTE SENSING
(2023)
Article
Remote Sensing
Alexandre Morin-Bernard, Alexis Achim, Nicholas C. Coops
Summary: Non-stand-replacing disturbances play a significant role in northern hardwood forest dynamics, but are more difficult to characterize using satellite imagery than stand-replacing events. This study proposes a hurdle approach that attributes disturbance causal agents to specific sample plots, achieving an overall accuracy of 82.9%. Disturbance-specific models were then developed to assess the severity of partial harvests and damage from ice storms, with r-squared values of 0.57 and 0.59, respectively. These models provide important information for future silvicultural planning by capturing within-stand variability in disturbance severity.
CANADIAN JOURNAL OF REMOTE SENSING
(2023)
Review
Fisheries
Spencer Dakin Kuiper, Nicholas C. C. Coops, Scott G. G. Hinch, Joanne C. C. White
Summary: Remote sensing technology has the potential to revolutionize freshwater fish habitat monitoring by providing information across large geographic areas, but the overwhelming number of platforms, sensors, and software available may hinder its widespread use. This review examines the fundamental characteristics of remote sensing technologies used for freshwater habitat characterization, reviews studies that have utilized these technologies, and identifies key habitat features, fish species, and regions that have been examined. The review also highlights the strengths and weaknesses of different remote sensing technologies, suggests future research directions, and provides important considerations for those interested in utilizing these technologies for freshwater fish habitat characterization.
FISH AND FISHERIES
(2023)
Article
Forestry
A. R. Wotherspoon, A. Achim, N. C. Coops
Summary: This study examines the future climate trends in eight ecozones in Canada that contain managed forests. The projections suggest a warming trend and an overall increase in precipitation. The study highlights the potential impacts on dominant species and wood volume for Canada's forestry industry.
CANADIAN JOURNAL OF FOREST RESEARCH
(2023)
Article
Forestry
Jose Riofrio, Joanne C. White, Piotr Tompalski, Nicholas C. Coops, Michael A. Wulder
Summary: By developing age-independent height growth models, using multi-temporal airborne laser scanning (ALS) data, a comprehensive indicator of site quality for complex and irregular stand structures is provided. This approach leverages the accurate, spatially detailed characterization of canopy heights afforded by ALS data and is independent of stand age, increasing the possible geographic extent of height growth estimates.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Geography, Physical
Saverio Francini, Txomin Hermosilla, Nicholas C. Coops, Michael A. Wulder, Joanne C. White, Gherardo Chirici
Summary: Remote sensing is a major source of information for monitoring forest dynamics, but accurate surface reflectance data is often difficult to obtain. Pixel-based composites are used to generate complete coverage of the area of interest from multi-temporal images, but a comprehensive methodology for assessing the quality of these composites is currently lacking. In this study, a pixel-based composite assessment methodology based on five criteria was introduced and tested on Landsat images over Europe. The results showed that the assessment approach was effective for evaluating the quality of pixel-based composites and could be applied in various applications.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Ecology
Margaret E. Andrew, Douglas K. Bolton, Gregory J. M. Rickbeil, Nicholas C. Coops
Summary: This study evaluates the effects of niche-based mechanisms, including environmental filtering, niche availability, and niche packing, on biodiversity patterns. The results show that the importance of these mechanisms varies with scale, position on environmental gradients, and taxonomic group.
JOURNAL OF BIOGEOGRAPHY
(2023)
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)