Article
Environmental Sciences
Hans Henniger, Friedrich J. Bohn, Kim Schmidt, Andreas Huth
Summary: To understand the dynamics of forests in today's changing environmental conditions, it is crucial to analyze their state at large scales. Forest inventories are not available for all regions, so additional methods such as remote sensing observations are important. This study combines the radiative transfer model mScope and the forest model FORMIND to generate reflectance spectra for forests, allowing for the consideration of species diversity at different heights. The results show good correlations between the generated reflectances and measured values, opening up possibilities for analyzing forest reflectance and understanding forest conditions.
Article
Environmental Sciences
Brian Smoliak, Michel Gelobter, Jeff T. Haley
Summary: Modifying Earth's albedo is a strategy to reduce global warming by reflecting solar energy, with potential for surface albedo enhancements to increase surface-reflected outgoing solar radiation. This study estimates the potential for surface contributions to reflected solar radiation, showing that the global annual-mean surface-reflected outgoing solar radiation potential is nearly five times larger than the actual value. Certain regions, such as Andean South America, the Middle East, southwestern North America, southwestern Africa, Australia, and the sub-equatorial tropical oceans, have particularly strong potential. Future research could explore seasonal variations and the potential to mitigate extreme heat events.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2022)
Article
Optics
Aleksey Malinka
Summary: This article presents a theory and model for the optical properties of porous materials and their effects on densely packed media. The results show that using the stereological approach improves the accuracy of extracting the specific surface area from snow reflectance measurements.
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
(2023)
Review
Ecology
Alex Mavrovic, Oliver Sonnentag, Juha Lemmetyinen, Jennifer L. Baltzer, Christophe Kinnard, Alexandre Roy
Summary: Spaceborne microwave remote sensing is a valuable method for monitoring environmental changes in Arctic-boreal regions (ABRs) where ground observations are limited. It can provide important information about surface and near-surface variables affecting terrestrial carbon cycle processes, such as carbon dioxide fluxes and methane exchange. Microwave remote sensing also allows for aboveground biomass estimation. Given its long record and global coverage, microwave data has untapped potential for monitoring carbon cycle processes across ABRs and should be rapidly integrated into ABR terrestrial carbon cycle science.
Article
Oceanography
Jian Wei, Tong Ren, Ping Yang, Steven F. DiMarco, Eli Mlawer
Summary: The study develops an OSA computational scheme to study the impact of ocean biogeochemistry on solar radiative transfer in the atmosphere, showing robustness and consistency with in-situ measurements and CERES data globally. However, slight differences and overestimations are found in the theoretical results compared to CERES data, mainly due to the assumption of a uniform phase function neglecting spatial variability in optical properties.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2021)
Article
Agronomy
Petri R. Forsstrom, Jussi Juola, Miina Rautiainen
Summary: This study analyzed the spectral reflectance factors and fractional covers of understory vegetation in different forest stands in a southern boreal forest area in Finland. The results showed specific spectral features of the understory related to site fertility type and fractional cover. The findings suggest that remote sensing can differentiate forest site fertility types and estimate understory green fractional cover in northern European boreal forests.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Biodiversity Conservation
Felicien Meunier, Marco D. Visser, Alexey Shiklomanov, Michael C. Dietze, J. Antonio Q. Guzman, G. Arturo Sanchez-Azofeifa, Hannes P. T. De Deurwaerder, Sruthi M. Krishna Moorthy, Stefan A. Schnitzer, David C. Marvin, Marcos Longo, Chang Liu, Eben N. Broadbent, Angelica M. Almeyda Zambrano, Helene C. Muller-Landau, Matteo Detto, Hans Verbeeck
Summary: This study used a meta-analysis approach to gather liana leaf optical spectra and canopy spectra data to investigate the impact of liana traits on the energy balance, light competition, and carbon cycle of tropical forests. The results showed that lianas have specific traits that make them more efficient at light interception, leading to modifications in forest energy balance and reductions in tree and ecosystem productivity while increasing liana productivity. This study provides new evidence on the impact of lianas on forest functioning and suggests implications for large-scale forest biogeochemical cycles.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Geochemistry & Geophysics
Erik Blomberg, Lars M. H. Ulander, Stefano Tebaldini, Laurent Ferro-Famil
Summary: This article evaluates the use of P-band TomoSAR data to improve AGB retrievals by suppressing the backscattered signal from the ground. Results show that a power law AGB model using volumetric HV polarized backscatter performs best in airborne data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Meteorology & Atmospheric Sciences
Benoit Tournadre, Benoit Gschwind, Yves-Marie Saint-Drenan, Xuemei Chen, Rodrigo Amaro E Silva, Philippe Blanc
Summary: This study develops a new method for retrieving cloud index from satellite instruments sensitive to solar radiation. The method utilizes simulations to estimate reflectances of both cloudy and cloud-free satellite scenes, considering the anisotropy caused by surface and atmosphere. The implementation of the method on Meteosat Second Generation satellite data shows promising results compared to ground-based measurements.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Environmental Sciences
Aarne Hovi, Daniel Schraik, Jan Hanus, Lucie Homolova, Jussi Juola, Mait Lang, Petr Lukes, Jan Pisek, Miina Rautiainen
Summary: This article reports a new version and empirical evaluation of a forest reflectance model based on photon recollision probability. The study shows that this model can accurately estimate the reflectance spectra of forests when considering the various structure and spectral characteristics of the canopy. The previous models that only consider leaves or needles as plant elements and assume a Lambertian canopy tend to overestimate the reflectance, especially in the near-infrared region.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Agriculture, Multidisciplinary
Fenghua Yu, Shuang Xiang, Juchi Bai, Zhongyu Jin, Honggang Zhang, Shengfan Zhu, Tongyu Xu
Summary: Leaf radiative transfer simulation is a useful tool for studying the relationship between plant biochemical parameters and leaf spectra. The current models often ignore the impacts of leaf layer structures on spectra, while the proposed PIOSL model takes these structures into consideration. The results of the simulation showed that the PIOSL model outperformed PROSPECT-4 in simulating leaf optical properties of various plant species.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Remote Sensing
Samira Hosseini, Franck Garestier
Summary: The study proposed a dual-frequency approach using L- and P-band data to distinguish hemi-boreal forest species. It was found that L-band is less sensitive to forest structure compared to P-band, which is more sensitive. By estimating ground topography and using Gaussian backscatter model at P-band, the study showed high sensitivity of P-band to forest vertical structure, allowing for differentiation of tree species.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Richard Massey, Brendan M. Rogers, Logan T. Berner, Sol Cooperdock, Michelle C. Mack, Xanthe J. Walker, Scott J. Goetz
Summary: Deciduous tree cover is expected to increase in North American boreal forests with climate warming and wildfire, potentially generating biophysical cooling. However, recent decades have seen a small net decrease in deciduous fraction and near-neutral net biophysical change in radiative forcing associated with albedo, indicating no systematic negative feedbacks to climate warming.
NATURE CLIMATE CHANGE
(2023)
Article
Environmental Sciences
E. X. Bonilla, L. J. Mickley, E. G. Beaudon, L. G. Thompson, W. E. Rodriguez, R. Cruz Encarnacion, C. A. Whicker, M. G. Flanner, C. G. Schmitt, P. Ginot
Summary: Andean glaciers have been melting rapidly since the 1960s, with black carbon deposition from fires in the Amazon Basin and other areas potentially playing a role in this melting by reducing the surface albedo. Through modeling and observations, this study found that the deposition of smoke black carbon on snow in the Andes could lead to significant climate impacts in terms of radiative forcing and albedo reduction.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Optics
A. Kokhanovsky, R. Shimada, T. Aoki, M. Hori
Summary: This work aims to develop a snow albedo product for the SGLI/GCOM-C JAXA space mission, using an analytical solution of the radiative transfer equation valid for small values of light absorption probability in the snowpack.
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
(2022)
Article
Environmental Sciences
Petri R. Forsstrom, Aarne Hovi, Giulia Ghielmetti, Michael E. Schaepman, Miina Rautiainen
Summary: Understanding the reflectance anisotropy of forests and the underlying scattering mechanisms is crucial for improving the accuracy of extracting fundamental forest characteristics from optical remote sensing data. This study developed a laboratory setup to measure multiangular spectra of three common European tree species and found that the anisotropy of trees is strongly asymmetrical and characteristic to species. The simultaneous measurements of spectral and directional characteristics of trees may enhance the discrimination of species and support the retrieval of their biophysical properties.
REMOTE SENSING OF ENVIRONMENT
(2021)
Correction
Multidisciplinary Sciences
Aarne Hovi, Petri R. Forsstrom, Giulia Ghielmetti, Michael E. Schaepman, Miina Rautiainen
Article
Agronomy
Petri R. Forsstrom, Jussi Juola, Miina Rautiainen
Summary: This study analyzed the spectral reflectance factors and fractional covers of understory vegetation in different forest stands in a southern boreal forest area in Finland. The results showed specific spectral features of the understory related to site fertility type and fractional cover. The findings suggest that remote sensing can differentiate forest site fertility types and estimate understory green fractional cover in northern European boreal forests.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
Aarne Hovi, Daniel Schraik, Jan Hanus, Lucie Homolova, Jussi Juola, Mait Lang, Petr Lukes, Jan Pisek, Miina Rautiainen
Summary: This article reports a new version and empirical evaluation of a forest reflectance model based on photon recollision probability. The study shows that this model can accurately estimate the reflectance spectra of forests when considering the various structure and spectral characteristics of the canopy. The previous models that only consider leaves or needles as plant elements and assume a Lambertian canopy tend to overestimate the reflectance, especially in the near-infrared region.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Forestry
Titta Majasalmi, Miina Rautiainen
Summary: A new approach was developed to calibrate phenological events in boreal forests using satellite and surface temperature data. Results showed that using standard phenometrics directly on satellite data may lead to biases in all species groups.
ANNALS OF FOREST SCIENCE
(2022)
Article
Ecology
Jussi Juola, Aarne Hovi, Miina Rautiainen
Summary: The woody material of forest canopies affects the interpretation of remotely sensed data. This study developed a novel measurement setup and used a mobile hyperspectral camera to measure the stem bark reflectance spectra of ten tree species. The results showed that there was similarity in the visible region, but large interspecific variation in the near-infrared region.
ECOLOGY AND EVOLUTION
(2022)
Article
Environmental Sciences
Pavel Samec, Romana Kudelkova, Petr Lukes, Ales Kucera, Pavel Cudlin
Summary: The study evaluates the effects of environmental predispositions on the damage to mountain forests. It finds that management, environmental predispositions, and soil have different levels of influence on forest NDVI.
JOURNAL OF MOUNTAIN SCIENCE
(2022)
Article
Agronomy
Jiri Tomicek, Jan Misurec, Petr Lukes, Marketa Potuckova
Summary: This study proposes an approach for calculating Leaf Area Indices (LAIs) for agronomic crops using satellite data. The approach was tested on dominant crops in the Czech Republic and achieved good results. The method can be used to create a dense LAI time series with high potential for precision agriculture.
Article
Agronomy
Petri R. Forsstrom, Aarne Hovi, Jussi Juola, Miina Rautiainen
Summary: The study investigates the relationship between light availability at forest floor and its spectral reflectance properties and fractional cover across boreal and temperate Europe. The results show that tree canopy structure is linked to the vegetation composition and spectral reflectance properties of forest floor, and these relationships differ between forest biomes.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Ecology
Sini-Selina Salko, Jussi Juola, Iuliia Burdun, Harri Vasander, Miina Rautiainen
Summary: The study highlights the importance of using spectral data in the shortwave infrared region (1100-2500 nm) for remote sensing applications, especially in monitoring the changes in wetland conditions.
ECOLOGY AND EVOLUTION
(2023)
Article
Agronomy
Daniel Schraik, Di Wang, Aarne Hovi, Miina Rautiainen
Summary: In this study, a method was developed to measure the clumping index (CI) of forest stands using terrestrial lidar data. Measurements of CI and STARf were conducted on 38 forest stands in Finland, Estonia, and Czechia to study their natural range and relationships with other forest variables and Landsat 8 OLI surface reflectance. It was found that CI was closely correlated with surface reflectance in conifer forests.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Forestry
Aarne Hovi, Petr Lukes, Lucie Homolova, Jussi Juola, Miina Rautiainen
Summary: This research assesses the geographical variability of Norway spruce needle spectra across different latitudes in Europe and finds that the variability is small compared to previous measurement campaigns or variability between plant functional types.
Article
Forestry
Nea Kuusinen, Aarne Hovi, Miina Rautiainen
Summary: Spectral mixture analysis was used to estimate the contribution of woody elements to tree level reflectance in boreal forest stands in Finland. The study found that the contribution of different woody elements varied and had a weak connection to plot level forest variables.
Article
Forestry
Daniel Schraik, Aarne Hovi, Miina Rautiainen
Summary: Terrestrial laser scanning provides a unique opportunity to study forest canopy structure, but estimating leaf area density is biased by the physical dimensions of laser beams. Research found that conifer foliage had a lower average per-pulse cover fraction than broadleaved foliage, indicating an increased number of partial hits in conifer foliage.
Article
Multidisciplinary Sciences
Aarne Hovi, Petri R. Forsstrom, Giulia Ghielmetti, Michael E. Schaepman, Miina Rautiainen
Summary: This article presents a dataset of multiangular scattering properties of small trees in visible, near-infrared, and shortwave-infrared wavelengths, along with supporting auxiliary data. The data, collected from three common European tree species, are valuable for modeling the shortwave reflectance characteristics of small trees and potentially forests, and can benefit climate modeling and remote sensing data interpretation.
Article
Ecology
Florian Lecorvaisier, Dominique Pontier, Benoit Soubeyrand, David Fouchet
Summary: Research has found that the use of vaccines that do not entirely block pathogen transmission may lead to the evolution of more virulent strains. High vaccine coverage favors the emergence and prevalence of avirulent strains, and competition between strains is crucial for the eradication of toxigenic strains when these vaccines are used.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Monica E. Barros, Ana Arriagada, Hugo Arancibia, Sergio Neira
Summary: The stock biomass of carrot prawn in the south-central area of Chile has decreased in the past 12 years, mainly due to fishing mortality. Predation mortality has been less studied and quantified, so it is important to estimate and compare predation and fishing mortality to understand their effects on fishing stocks. A food web model was built to analyze the biomass changes and evaluate the relative contribution of different mortality factors. The results showed that predation mortality was the main component of total mortality for carrot prawns and yellow prawns.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shubham Krishna, Victoria Peterson, Luisa Listmann, Jana Hinners
Summary: This study incorporated viral dynamics into an ecosystem model to investigate the effects of viruses on ecosystem dynamics under current and future climatic conditions. The results showed that the presence of viruses increased nutrient retention in the upper water column, leading to a reduction in phytoplankton biomass and transfer of biomass to higher trophic levels.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zahra Dehghan Manshadi, Parastoo Parivar, Ahad Sotoudeh, Ali Morovati Sharifabadi
Summary: This study demonstrates the importance of strategies such as limiting built-up areas, preserving green spaces, and protecting water resources on the urban carrying capacity in arid and semi-arid regions. Implementing a combination of policies aimed at enhancing urban green spaces and regulating water demand is found to be the most effective in terms of health and urban carrying capacity.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shay S. Keretz, Daelyn A. Woolnough, Todd J. Morris, Edward F. Roseman, David T. Zanatta
Summary: This study surveyed native freshwater mussels in the St. Clair-Detroit River system and found 14 live unionids representing 9 species. However, the model used to predict their presence in the main channels was not successful. The study also revealed characteristic differences between the St. Clair and Detroit Rivers.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Zhengrong Zhang, Xuemei Li, Xinyu Liu, Kaixin Zhao
Summary: This study examines land use change in the Chinese Tianshan mountainous region using system dynamics and patch-generating land use simulation models. The results show an expansion in forest and construction land, a decline in grassland area, and an increase in cultivated land area from 2005 to 2020. By 2040, unused land, grassland, and water are expected to decrease while other land types increase, with construction land showing the most significant increase. The study provides insights for future ecological and environmental management in the region.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Amira Khelifa, Nadjia El Saadi
Summary: This paper develops an agent-based model to study malaria disease transmission, taking into account the interactions between hosts, vectors, and aquatic habitats, as well as their geographical locations. The simulation results highlight the significant role of aquatic habitats in infection transmission and disease persistence, and demonstrate the effectiveness of eliminating these habitats in limiting disease transmission.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Guillaume Peron
Summary: The theory for movement-based coexistence between species often overlooks small-scale, station-keeping movements. However, at this scale, there are many instances where positive correlations exist between species traits that are expected to be negatively correlated based on current theory. Through simulations, the researcher presents a counter-example to demonstrate that functional tradeoffs are not a necessary condition for movement-based coexistence. This study highlights the significance of species-specific space use patterns under the time allocation tradeoff hypothesis.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sandra Y. Mendiola, Nicole M. Gerardo, David J. Civitello
Summary: Research on the use of insect microbial symbionts as a means of controlling the spread of insect vectors and the pathogens they carry has made significant progress in the last decade. This study focused on the relative importance of simultaneous effects caused by a symbiont called Caballeronia spp. on the ability of squash bugs to transmit phytopathogenic Serratia marcescens. The researchers found that infection with Caballeronia significantly reduced pathogen titers and cleared S. marcescens in bugs, thus reducing the vectoring potential of these pests. The study also showed that maximizing symbiont prevalence in the vector population is crucial for effectively mitigating plant infections.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Shirui Hao, Dongryeol Ryu, Andrew W. Western, Eileen Perry, Heye Bogena, Harrie Jan Hendricks Franssen
Summary: This study investigates the sensitivity of model yield prediction to uncertainties in model parameters and inputs using the Sobol' method. The results show that yield is more sensitive to changes in water availability and nitrogen availability, depending on soil, management, and weather conditions.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Nitika Mundetia, Devesh Sharma, Aditya Sharma
Summary: This study focused on assessing groundwater sustainability using different modeling approaches in a river basin in Rajasthan, India. The results showed a decrease in future groundwater recharge and emphasized the need for better management and conservation practices to achieve sustainable development goals.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Sukdev Biswas, Sk Golam Mortoja, Ritesh Kumar Bera, Sabyasachi Bhattacharya
Summary: Bacteria play a crucial role in regulating the nutrient cycle of ecosystems, and maintaining a thriving bacterial population is essential for the sustainability of these environments. This study introduces the concept of cooperation as a group defense mechanism employed by bacteria and incorporates it into the functional response, offering a more comprehensive understanding of the complex tritrophic food chain dynamics. The results highlight the importance of a balance between strong group defense and moderate cooperation for bacteria sustainability and overall system stability.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
D. Z. M. Le Gouvello, S. Heye, L. R. Harris, J. Temple-Boyer, P. Gaspar, M. G. Hart-Davis, C. Louro, R. Nel
Summary: This study modeled the dispersal pathways and compared potential dispersal corridors of different sea turtle species in the Western Indian Ocean. The results showed that ocean currents play a major role in driving dispersal, with species and years exhibiting differences in dispersal patterns. Active swimming had little influence on dispersal during the first year.
ECOLOGICAL MODELLING
(2024)
Review
Ecology
Yingying Duan, Haina Rong, Gexiang Zhang, Sergey Gorbachev, Dunwu Qi, Luis Valencia-Cabrera, Mario J. Perez-Jimenez
Summary: Computing models are an effective way to study population dynamics of endangered species like giant pandas. This paper proposes a unified framework and conducts a comprehensive survey of computing models for giant panda ecosystems. Multi-factor computing models are more suitable for studying giant panda ecosystems.
ECOLOGICAL MODELLING
(2024)
Article
Ecology
Samantha Lai, Theophilus Zhi En Teo, Arief Rullyanto, Jeffery Low, Karenne Tun, Peter A. Todd, Siti Maryam Yaakub
Summary: Understanding the exchange of genetic material among populations in the marine environment is crucial for conservation efforts. Agent-based models are increasingly used to predict dispersal pathways, including for seagrasses. This study highlights the importance of considering both sexual propagules and asexual vegetative fragments when evaluating seagrass connectivity.
ECOLOGICAL MODELLING
(2024)
