Article
Ecology
Lucia A. Fitts, Jacob S. Fraser, Brian R. Miranda, Grant M. Domke, Matthew B. Russell, Brian R. Sturtevant
Summary: This article introduces a systematic methodology for calibrating and corroborating a forest landscape simulation model using empirical estimates from the national forest inventory. The results show that this method can more accurately predict forest dynamics and carbon fluxes, providing a reference for forest management and land use planning to reduce external pressures on forests and mitigate climate change effects.
ECOLOGICAL MODELLING
(2023)
Article
Ecology
Clement Hardy, Christian Messier, Yan Boulanger, Dominic Cyr, Elise Filotas
Summary: Compared to even-aged management, uneven-aged management increases the density of forest roads and their costs, as well as the amount of old forests and their fragmentation. Aggregating harvested areas does not significantly reduce road density, and the presence of pre-existing road networks has no long-term effects.
Article
Biodiversity Conservation
Xi Wu, Wenjiao Shi, Fulu Tao
Summary: Hydrological models and remote sensing methods are often used to estimate water retention amounts and analyze spatial variations. However, their accuracies are lower than site-observational data. This study used observational sites and a RF model to predict canopy interception, litter water-holding amount, soil water storage, and forest water retention in China, finding significant spatial variations in different forest types across different basins.
ECOLOGICAL INDICATORS
(2021)
Review
Ecology
Mitchel L. M. Rudge, Shaun R. Levick, Renee E. Bartolo, Peter D. Erskine
Summary: This article explores practical options for creating landscape-scale forest restoration targets that embrace spatial pattern. Hierarchy theory, satellite remote sensing, landscape pattern analysis, drone-based remote sensing, and spatial point pattern analysis are all useful tools for assessing and quantifying the spatial pattern of reference landscapes and informing forest restoration targets.
Article
Ecology
Mia M. Wu, Xianghua Zou, Yu Liang, Michael Stambaugh, Jacob S. Fraser, Wenru Xu, Hong S. He
Summary: The interplay between disturbance and forest succession is crucial for understanding forest landscape dynamics. This study investigates the effects of typhoons on forest dynamics at different scales and in different forest biomes. The findings show that typhoon disturbances have long-lasting and cumulative effects, which vary with successional stages and forest biomes. The landscape with typhoons may eventually reach a steady state after a long time period.
Article
Ecology
Stacey K. Olson, Erica A. H. Smithwick, Melissa S. Lucash, Robert M. Scheller, Robert E. Nicholas, Kelsey L. Ruckert, Christopher M. Caldwell
Summary: The emerald ash borer is causing widespread mortality to ash trees, which is expected to alter forest composition and structure. Despite efforts to impede its spread, climate change is expected to be the major driver of changes in biodiversity by the end of the century.
Article
Forestry
Igor Bychkov, Anastasia Popova
Summary: Forecasts of forest ecosystem dynamics are crucial for environmental protection and forest resource management. This study proposes a method to overcome the lack of initial data by combining open source and remote sensing data, and simulates long-term forest dynamics using a biomass succession model.
Article
Environmental Sciences
Junzhi Ye, Chao Yue, Yunfeng Hu, Hui Ma
Summary: By analyzing data from 873 forest sites worldwide, this study found that the forest root-shoot ratio at stand level is largely influenced by canopy height, latitude, climatic factors, forest type, and regeneration method, which collectively explain 37% of the ratio variations. Significant intercontinental and national variations in forest R/S ratio were also observed, with the ratio highest in Oceania and lowest in South America at the continental scale, and with Australia having the highest ratio and Russia the lowest at the national scale. The study concludes that future changes in environmental, biotic, and anthropogenic factors could impact the forest R/S ratio, affecting the global and regional land carbon cycle.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Water Resources
Rhoswen Leonard, Paul Moore, Stefan Krause, Laura Chasmer, Kevin J. Devito, Richard M. Petrone, Carl Mendoza, James Michael Waddington, Nicholas Kettridge
Summary: This study critically evaluates the influence of compositional and organizational complexity on evapotranspiration (ET) dynamics in open-canopy forest systems. The results demonstrate that including forest stand complexity and associated radiation variability increases ET model estimates and improves model performance.
HYDROLOGICAL PROCESSES
(2022)
Article
Computer Science, Interdisciplinary Applications
Mia M. Wu, Hong S. He, Yu Liang, Michael Stambaugh, Jacob S. Fraser
Summary: This study used forest landscape modeling to reconstruct a 300-year time series of post-volcanic eruption forest landscapes in Changbai Mountain, China. The results showed that environmental factors had a dominant effect on early forest recovery, while disturbances became the main driving force at later stages of recovery.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Environmental Sciences
Bowen Hou, Caiyong Wei, Xiangnan Liu, Yuanyuan Meng, Xiaoyue Li
Summary: The evolution of forest landscape patterns can reveal landscape stability of forest dynamics. A method for assessing forest landscape stability was proposed in this study. The short-term change processes of the forest have various forms, with the restoration subsequence being the largest. The results also showed that more landscape units have begun to transition into a stable state.
Article
Ecology
Jamie L. Peeler, Erica A. H. Smithwick
Summary: The study found that landscape factors like seed source area were associated with the presence and stocking density of subalpine fir, while local factors like soil nutrients were associated with the presence of lodgepole pine, highlighting the effects of different regeneration strategies.
Article
Forestry
Binli Wang, Chengming Tian, Yingmei Liang
Summary: Endemic plant pathogens play a significant role in shaping forest ecosystem dynamics and diversity, but they often receive little attention at the landscape scale. In this study, we investigated the effects of multiple ecological factors on the infestation of the pathogenic fungus responsible for Marssonina leaf spot in bitter poplar trees. Our findings suggest that forest cover indirectly influences disease dynamics, while tree diversity directly affects disease prevalence. Leaf traits, such as specific leaf area and leaf dry matter content, also play an important role in determining pathogen load and disease severity.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Article
Geography, Physical
Karun R. Dayal, Sylvie Durrieu, Kamel Lahssini, Samuel Alleaume, Marc Bouvier, Jean-Matthieu Monnet, Jean-Pierre Renaud, Frederic Reverse
Summary: This study aims to investigate the influence of lidar scan angle on ABA predictions and evaluate the potential of voxelisation approaches in mitigating scan angle effects. The results showed that models built with point clouds scanned from multiple flight lines were more robust, while datasets with a predominantly nadir configuration did not always lead to better predictions. The use of voxelisation methods helped to mitigate the impacts of changes in scan angles.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Review
Ecology
Jianquan Dong, Hong Jiang, Tianwei Gu, Yanxu Liu, Jian Peng
Summary: This study proposes a scientific definition and conceptual connotation of Sustainable Landscape Pattern (SLP) and summarizes its application status in spatial planning. The results show that SLP effectively supports spatial planning by helping determine planning targets, analyze spatial patterns, and compare and select schemes. Future research directions include exploring frontier concepts like spatial resilience and applying SLP to ecological restoration and urban development.
Article
Plant Sciences
Yue Yang, Shengnan Ouyang, Arthur Gessler, Xiaoyu Wang, Risu Na, Hong S. He, Zhengfang Wu, Mai-He Li
Summary: Increases in drought intensity, frequency, and duration can have negative effects on the growth, physiology, and mortality of trees. In this study, long drought duration (>1 month) was found to decrease leaf water potential, photosynthesis, and non-structural carbohydrate concentrations in oak and beech saplings. Nitrogen fertilization did not mitigate the negative effects of drought on these tree species. However, photosynthesis and height increment recovered in the following rewetting year. The study also highlighted the higher sensitivity of beech compared to oak to drought and fertilization.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Ecology
Yan Li, Hong S. He, Shengwei Zong, Hang Sun
Summary: Climate and environmental changes have led to changes in alpine tundra worldwide, but the impact of snow cover on vegetation change in tundra is still not well-studied. This study in the Changbai Mountains found a strong correlation between snowmelt and vegetation change in alpine tundra. The distribution of wet snow and hydrological conditions in different mountain aspects have important implications for understanding vegetation change.
Article
Computer Science, Interdisciplinary Applications
Chao Huang, Jiayuan Feng, Fangran Tang, Hong S. He, Yu Liang, Mia M. Wu, Wenru Xu, Bo Liu, Fuxi Shi, Fusheng Chen
Summary: Climate change can affect fire disturbances by modifying fuel types and loads. Existing fire predictions may overestimate the probability and size of fire disturbances by simplifying or omitting vegetation feedback. We used a model-coupling framework to predict the effects of climate change on burned area, aboveground biomass, and species composition of boreal forests in Northeast China.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Environmental Sciences
Jiuhui Li, Zhengfang Wu, Hongshi He, Wenxi Lu
Summary: In this study, the simulation optimization method was used to identify LNAPL groundwater contamination source (GCS). To improve the accuracy of the simulation model, an artificial intelligence ensemble surrogate model (AIESM) combining deep belief neural network (DBNN) and long short-term memory (LSTM) neural network was used. Empirical mode decomposition (EMD) and wavelet analysis were employed to denoise the observed concentrations, and their denoising effects were compared. The results showed that AIESM achieved the highest accuracy and could replace the actual simulation model to significantly reduce computation load and time.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Environmental
Jiuhui Li, Zhengfang Wu, Hongshi He, Wenxi Lu
Summary: The grey wolf optimization algorithm (GWO) has the disadvantage of premature convergence when solving the optimization model for groundwater contamination sources (IGCSs) due to its weak local search ability. To improve it, a hybrid grey wolf gradient optimization algorithm (HGWGO) was developed by integrating GWO with the gradient descent algorithm, which showed a strong local search ability and less dependence on the initial value. The HGWGO was applied to the optimization model to enhance the accuracy of IGCSs. Additionally, a surrogate model using a deep belief neural network (DBNN) was established to participate in the iterative calculation, reducing the computational load and time consumption.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Environmental Sciences
Naveed Muhammad, Hongshi He, Shengwei Zong, Haibo Du, Zulqarnain Satti, Xinyuan Tan, Muhammad Yasir Qazi
Summary: Cotton plays a significant role in Pakistan's economy as the second-largest crop, but its productivity has become unstable due to climate change. This study investigates the relationship between cotton yield variability and climate factors, finding that precipitation has shown an overall decreasing trend. The results also demonstrate an increasing trend in cotton yield variability, highly correlated with climate variability. Climate factors have had a dominant impact on cotton production in the study area from 1990 to 2019.
CHINESE GEOGRAPHICAL SCIENCE
(2023)
Article
Environmental Sciences
Muhammad Naveed, Hong S. He, Shengwei Zong, Haibo Du, Zulqarnain Satti, Hang Sun, Shuai Chang
Summary: With the increasing population on Earth, the demand for agricultural raw materials also rises. It is crucial to have updated and accurate information about the dynamics and properties of world agricultural systems. Monitoring the spatial distribution of cotton fields is necessary for tracking crop area and growth changes at a regional level. In our study, we used an enhanced vegetation index time series and a probabilistic approach to detect cotton crop area. We also employed Gaussian kriging and field data validation to estimate cotton yield. Our findings show a strong correlation between the MODIS-derived cotton area and statistical data, with high accuracy in both crop area detection and yield prediction. Our approach can be applied to other regions through machine learning.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Environmental Sciences
Chao Huang, Shun Li, Hong S. He, Yu Liang, Wenru Xu, Mia M. Wu, Zhiwei Wu, Cheng Huang, Fusheng Chen
Summary: Climate change and forest management practices have significant impacts on forest productivity and carbon budgets. Understanding their interactions is crucial for accurately predicting carbon dynamics and achieving carbon neutrality. This study developed a model-coupling framework to simulate the carbon dynamics of boreal forests in China, considering past timber harvesting and future climate change scenarios and management practices. The results show that current management strategies coupled with climate change will increase fire frequency and intensity, transforming these forests from carbon sinks to carbon sources. It suggests that future boreal forest management should focus on reducing the probability of fires and carbon losses through the use of deciduous species, mechanical removal, and controlled fires.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Geosciences, Multidisciplinary
Yanmin Dong, Hongkai Li, Shengzhong Wang, Hongshi He
Summary: This study examines the relationship between peatland development, lateral expansion, and carbon accumulation rate with climate and local conditions in the Baijianghe peatland. The results show that climate and local conditions have an important influence on carbon accumulation rates in the peatland.
SCIENCE CHINA-EARTH SCIENCES
(2023)
Article
Soil Science
Na Li, Haibo Du, Mai-He Li, Risu Na, Renkai Dong, Hong S. He, Shengwei Zong, Lirong Huang, Zhengfang Wu
Summary: Global environmental changes have led to the migration of plants into alpine or arctic tundra ecosystems. In the Changbai Mountain, the migration of the low-elevation herb species Deyeuxia angustifolia into the alpine shrubby tundra has resulted in changes in soil properties and soil microbial communities. The upward migration, combined with nitrogen deposition, has altered the soil microbial community composition and led to a shortage of soil phosphorus at higher elevations. These changes may benefit the migration of D. angustifolia and suppress the existing shrubby species.
SOIL BIOLOGY & BIOCHEMISTRY
(2023)
Article
Forestry
Kai Liu, Hong S. He, Hang Sun, Jingfeng Wang
Summary: Predatory seed harvesting (PSH) in the past 20 years has significantly affected the restoration and sustainable management of the mixed Korean pine and broadleaf forest. The historical PSH decreased the dominance of Korean pine and increased the dominance of spruce and fir, altering the succession trajectories of the disturbed stands. Future forest management should restrict the intensity and rotation of seed harvesting, and consider direct seeding or seedling planting for the recovery and sustainable management of the mixed Korean pine and broadleaf forest.
Article
Environmental Sciences
Zhihua Liu, Wen J. Wang, Ashley Ballantyne, Hong S. He, Xugao Wang, Shuguang Liu, Philippe Ciais, Michael C. Wimberly, Shilong Piao, Kailiang Yu, Qichao Yao, Yu Liang, Zhiwei Wu, Yunting Fang, Anping Chen, Wenru Xu, Jiaojun Zhu
Summary: According to satellite data, the rate, frequency, and extent of forest disturbances in China decreased from 1986 to 2020, possibly due to forest protection policies. However, while these disturbances intensified in the southeast, they weakened in the northeast.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Correction
Environmental Sciences
Jiuhui Li, Zhengfang Wu, Hongshi He, Wenxi Lu
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Agronomy
Xi Qi, Paolo Cherubini, Kerstin Treydte, Mai-He Li, Zhengfang Wu, Hong S. He, Haibo Du, Keyan Fang, Matthias Saurer
Summary: This study examined the effects of tree age-related intrinsic water-use efficiency (iWUE) on tree growth under climate change in a boreal permafrost region in northeastern China. The results showed that mature trees were more sensitive to changing atmospheric CO2 concentrations and had a more conservative water use strategy compared to young trees.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Forestry
Yu Cong, Matthias Saurer, Edith Bai, Rolf Siegwolf, Arthur Gessler, Kai Liu, Hudong Han, Yongcai Dang, Wenhua Xu, Hong S. He, Mai-He Li
Summary: Carbon allocation plays a crucial role in the survival and growth of alpine treeline trees. Through in situ labeling, this study found that treeline trees do not have a disadvantage in photosynthesis compared to low-elevation trees, but they allocate proportionally less newly assimilated carbon belowground. The residence time of carbon in treeline tree leaves is longer and there is an overall lower density of newly assimilated carbon. The treeline trees may have a compensatory mechanism to counteract the negative effects of the treeline environment on carbon gain.
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)