Article
Environmental Sciences
Tingxiang Liu, Qiang Zhang, Tiantian Li, Kaiwen Zhang, Izaya Numata
Summary: This study evaluated the impact of climate change and human activities on vegetation changes in the Inner Mongolia reach of the Yellow River Basin. The findings show that temperature has a negative influence on vegetation changes, while precipitation and soil moisture have a positive influence. Additionally, land use and cover changes also affect vegetation variations.
Article
Water Resources
Han Ma, Lei Zhong, Yunfei Fu, Meilin Cheng, Xian Wang, Ming Cheng, Yaoxin Chang
Summary: This study assesses the combined impacts of global climate change and human activities on the hydrological processes in the Fuhe River Basin. The results indicate that future flow and water availability will experience significant changes, leading to more frequent and severe floods and droughts.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Biodiversity Conservation
Pengquan Wang, Runjie Li, Dejun Liu, Yuanmei Wu
Summary: High-intensity human activities have significantly affected the land use/land cover patterns in the Huangshui River Basin, posing challenges to the sustainable development of ecosystems. This study examined the spatiotemporal dynamics of land use/cover in the basin and utilized models to optimize and simulate land use patterns under different scenarios. The findings highlight the changes in ecosystem service value and its sensitivity to land use/cover change. The study provides valuable insights for decision-makers and the public in understanding the importance of ecosystem services and guiding land-use planning.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Truong Thao Sam, Dao Nguyen Khoi
Summary: This study used the SWAT model to analyze the impacts of land-use/land-cover changes on river discharge and sediment load in the Mekong River Basin. The results showed that forest land decreased by 2.35% and agricultural land increased by 2.29% from 1997 to 2010. These changes led to increases in river discharge and sediment load by 0.24% to 0.32% and 1.78% to 2.86%, respectively. Additionally, the river discharge and sediment load of the Mekong River were positively correlated with agricultural land and negatively correlated with forest land. The findings are important for implementing effective water and soil conservation measures in the Mekong River Basin.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Environmental Sciences
Xutong Ru, Hongquan Song, Haoming Xia, Shiyan Zhai, Yaobin Wang, Ruiqi Min, Haopeng Zhang, Longxin Qiao
Summary: Land use and land cover change (LUCC) has an impact on temperature changes in the Yellow River Basin, with urban expansion and conversion of farmland to grassland leading to a rise in temperature.
Article
Engineering, Environmental
Jessica Penny, Priscila B. R. Alves, Yenushi De-Silva, Albert S. Chen, Slobodan Djordjevic, Sangam Shrestha, Mukand Babel
Summary: Despite the growing research and applications of nature-based solutions (NBS), there is a lack of application and quantitative assessment of NBS in South East Asia. This study addresses this gap by using MCDA-GIS analysis to map the potential impact of NBS on flood hazard reduction in the Mun River Basin, Thailand. Wetlands, re/afforestation, and changing crop types were found to be effective strategies for mitigating flood and drought hazards. The results show that implementing NBS in the catchment decreases flood hazard, particularly through reforestation, and even more so when a combination of NBS is applied.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Agriculture, Multidisciplinary
Fabio de Oliveira Roque, Angelica Guerra, Matthew Johnson, Carlos Padovani, Juliano Corbi, Alan P. Covich, Donald Eaton, Walfrido Moraes Tomas, Francisco Valente-Neto, Ana Claudia Piovezan Borges, Alexandra Pinho, Alexeia Barufatii, Bruno do Amaral Crispim, Rafael Dettogni Guariento, Maria Helena da Silva Andrade, Ary Tavares Rezende-Filho, Rodolfo Portela, Marcia Divina, Julio Cesar Sampaio da Silva, Cassio Bernadino, E. Erica Fernanda Goncalves Gomes de Sa, Pedro Cordeiro-Estrela, Arnaud Desbiez, Isabel M. D. Rosa, Lisa Yon
Summary: A study estimated the pesticide load in the Pantanal and surrounding highlands region for 2050 under different scenarios, predicting varying levels of pesticide usage depending on the scenario. Higher pesticide usage is expected in subbasins with greater agricultural areas within major hydrographic basins.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2021)
Article
Biodiversity Conservation
Junju Zhou, Chuyu Luo, Dongfeng Ma, Wei Shi, Lanying Wang, Zhaonan Guo, Haitao Tang, Xue Wang, Jiarui Wang, Chunfang Liu, Wei Wei, Chunli Wang
Summary: The landscape pattern of land use has a significant scale effect on river hydrochemistry, with the sub-watershed and riparian zones being the core scales of influence. The role of forest land also changes with scale.
ECOLOGICAL INDICATORS
(2022)
Article
Green & Sustainable Science & Technology
Ji He, Yu-Rong Wan, Hai-Tao Chen, Song-Lin Wang
Summary: This paper analyzed the spatial and temporal distribution characteristics of rainfall erosivity in the Luojiang River Basin of China using a daily rainfall erosivity model, ArcGIS, trend analysis, and Kriging interpolation method. The study also explored the relationship between land use change types and rainfall erosivity potential. The results showed an overall increasing trend in rainfall erosivity, with a spatial distribution consistent with multi-year average rainfall. Land use change was identified as an important factor affecting the distribution of rainfall erosivity in the basin.
Article
Green & Sustainable Science & Technology
Jiaheng Zhao, Huili Chen, Qiuhua Liang, Xilin Xia, Jiren Xu, Trevor Hoey, Brian Barrett, Fabrice G. Renaud, Lee Bosher, Xin Zhou
Summary: As China's rapid economic development has led to significant changes in terrestrial, aquatic, and marine environments, a new framework for flood risk assessment under different development scenarios was introduced in this paper. Model simulations were conducted to investigate flood risk under various land use change scenarios, with potential guidance provided to inform future development strategies in the Luanhe River Basin.
SUSTAINABILITY SCIENCE
(2022)
Article
Environmental Sciences
Yonggui Wang, Zhen Song, Hui Bai, Hongjin Tong, Yan Chen, Yao Wei, Xiaoyu Wang, Shuihua Yang
Summary: In this study, redundancy analysis and stepwise multiple linear regression were used to assess the effects of land use on water quality in the Tuojiang River Basin. The results showed that the improvement in water quality depended on the protection of small-scale areas and the relationship between water quality parameters and land use varied across different spatial scales. This study provides important information for land use planning and implementing measures to protect water quality.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Kyongho Son, Yilin Fang, Jesus D. Gomez-Velez, Kyuhyun Byun, Xingyuan Chen
Summary: A basin-scale river corridor model was developed to identify the dominant factors associated with the spatial variation of denitrification in the hyporheic zone (HZ) of river corridors. The modeling results suggest that hydrologic variability, substrate availability influenced by land use, and hyporheic exchange flux are the main factors influencing HZ denitrification at the basin scale.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Ning Li, Jinye Wang, Haoyu Wang, Bolin Fu, Jianjun Chen, Wen He
Summary: The study analyzed the impact of land use change on ecosystem service value in the Lijiang River Basin using remote sensing data and a model, finding a decreasing trend in ESV overall and negative impacts of population, GDP, and urbanization rate on ESV.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Chemistry, Analytical
Yang Ren, Zehong Li, Jingnan Li, Yan Ding, Xinran Miao
Summary: By analyzing the land cover data of the Selenga River basin, this study reveals the dynamic changes and driving factors of land use in the basin, and predicts the future land cover pattern. The results show that the decrease in agricultural population and climate warming have led to changes in crop distribution, and grassland expansion mainly occurs in areas with abundant rainfall, low temperature, and low human activity. In the future, the land use of the Selenga River basin will be affected by both man-made and natural disturbances due to the construction of the China-Mongolia-Russia economic corridor and global warming.
Article
Environmental Sciences
Jing Zhang, Xiaolong Yu
Summary: This article evaluates the impact of urbanization on land use changes and catchment's runoff in the Puhe River Basin from 1985 to 2015. The results show that urbanization led to a decrease in cultivated land and an increase in construction land, affecting the runoff in the basin.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Behavioral Sciences
Neil A. Gilbert, Jennifer L. Stenglein, Timothy R. Van Deelen, Philip A. Townsend, Benjamin Zuckerberg
Summary: In North America, as winters become more variable, white-tailed deer adjust their behavior to reduce their exposure to extreme temperatures. They become more active during the day in cold temperatures and in conifer-dominated landscapes, while they become more nocturnal and prefer deciduous-dominated landscapes in warm temperatures.
BEHAVIORAL ECOLOGY
(2022)
Article
Ecology
Jeannine Cavender-Bares, Anna K. Schweiger, John A. Gamon, Hamed Gholizadeh, Kimberly Helzer, Cathleen Lapadat, Michael D. Madritch, Philip A. Townsend, Zhihui Wang, Sarah E. Hobbie
Summary: The study shows that imaging spectroscopy can detect vegetation information and predict belowground plant and soil processes. There are contrasting relationships between aboveground vegetation quantity and quality with belowground soil attributes, indicating differences in influencing factors for belowground processes in different grassland systems.
ECOLOGICAL MONOGRAPHS
(2022)
Article
Entomology
Hanna McIntosh, Amaya Atucha, Philip A. Townsend, W. Beckett Hills, Christelle Guedot
Summary: Three colors of plastic mulches were effective at reducing populations of D. suzukii, with metallic mulch showing increased canopy light intensity compared to black mulch. Plastic mulches have the potential to be a promising cultural practice for managing D. suzukii in both organic and conventional systems.
JOURNAL OF PEST SCIENCE
(2022)
Correction
Entomology
Hanna McIntosh, Amaya Atucha, Philip A. Townsend, W. Beckett Hills, Christelle Guedot
JOURNAL OF PEST SCIENCE
(2022)
Review
Environmental Sciences
Duccio Rocchini, Maria J. Santos, Susan L. Ustin, Jean-Baptiste Feret, Gregory P. Asner, Carl Beierkuhnlein, Michele Dalponte, Hannes Feilhauer, Giles M. Foody, Gary N. Geller, Thomas W. Gillespie, Kate S. He, David Kleijn, Pedro J. Leitao, Marco Malavasi, Vitezslav Moudry, Jana Mullerova, Harini Nagendra, Signe Normand, Carlo Ricotta, Michael E. Schaepman, Sebastian Schmidtlein, Andrew K. Skidmore, Petra Simova, Michele Torresani, Philip A. Townsend, Woody Turner, Petteri Vihervaara, Martin Wegmann, Jonathan Lenoir
Summary: This paper reviews the spectral species concept and discusses the complexities, challenges, and opportunities to apply this concept given current and future scientific advances in remote sensing.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Environmental Sciences
K. Cawse-Nicholson, A. M. Raiho, D. R. Thompson, G. C. Hulley, C. E. Miller, K. R. Miner, B. Poulter, D. Schimel, F. D. Schneider, P. A. Townsend, S. K. Zareh
Summary: High-resolution space-based spectral imaging is crucial for monitoring Earth's changes and resource management. The measure of intrinsic dimensionality (ID) can quantitatively evaluate the sensitivity of performance to different design parameters.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Environmental Sciences
B. Thapa, P. T. Wolter, B. R. Sturtevant, P. A. Townsend
Summary: This study examines the relationship between continuous foliar change and spectral or vegetation index change in different forest systems using satellite data. The results show significant differences in defoliation metrics and vegetation index change between different defoliator systems, making it challenging to develop a unified defoliation model.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geography, Physical
Qu Zhou, Sheng Wang, Nanfeng Liu, Philip A. Townsend, Chongya Jiang, Bin Peng, Wouter Verhoef, Kaiyu Guan
Summary: This study proposed an operational atmospheric correction pipeline for obtaining surface reflectance from AHIS data. The research focused on selecting a suitable model for atmospheric lookup tables, identifying key parameters for atmospheric correction, and testing the performance of machine learning emulators. The proposed method improved the accuracy and efficiency of atmospheric correction.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Ecology
John D. J. Clare, Benjamin Zuckerberg, Nanfeng Liu, Jennifer L. Stenglein, Timothy R. Van Deelen, Jonathan N. Pauli, Philip A. Townsend
Summary: Predators and prey engage in games where they must counter each other's moves, with multiple phases operating at different scales. Recent work has highlighted the potential issues related to scale-sensitive inferences in predator-prey interactions, and there is growing appreciation for the predictable dynamics of these interactions. Using trail cameras, researchers characterized the foraging games between white-tailed deer and canid predators, focusing on temporal scale and seasonal variation. Linear features were found to strongly influence predator detection rates, suggesting their importance in canid foraging tactics. Deer responses were more sensitive to risk at finer scales, indicating that commonly used coarser scales may miss important insights into prey risk-response. Time allocation and factors such as forest cover, snow, and plant phenology were key factors in deer risk management, while factors associated with predator encounter were less influential. Seasonal variation in predator-prey interactions may be common in seasonal environments.
Article
Environmental Sciences
Jie Hu, Alfred E. Hartemink, Ankur R. Desai, Philip A. Townsend, Rose Z. Abramoff, Zhe Zhu, Debjani Sihi, Jingyi Huang
Summary: Current carbon cycle models have focused on the effects of climate and land-use change on primary productivity and microbial-mineral dependent carbon turnover in the topsoil, but have overlooked the importance of vertical soil processes and soil response to land-use change along the profile. In this study, spatial-temporal analysis was used to estimate soil organic carbon (SOC) change at NEON sites in the USA over 30 years. The study found that different soil types and land-use practices had significant impacts on SOC accumulation or loss, and identified runoff/erosion, leaching potential, vertical translocation, and mineral sorption as the key factors controlling SOC variation.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Forestry
Sarah A. Wegmueller, William B. Monahan, Philip A. Townsend
Summary: Effective management of forest insects and diseases requires early detection of abnormal mortality among individual tree species. TreeCAP is an open-source system that uses freely available imagery to create maps of tree condition. It has been successfully applied to detect tree mortality in various study sites with a high overall accuracy.
JOURNAL OF FORESTRY
(2023)
Article
Environmental Sciences
Eya Cherif, Hannes Feilhauer, Katja Berger, Phuong D. Dao, Michael Ewald, Tobias B. Hank, Yuhong He, Kyle R. Kovach, Bing Lu, Philip A. Townsend, Teja Kattenborn
Summary: Large-scale information on vegetation properties is crucial for understanding ecosystem functioning and biodiversity. Hyperspectral remote sensing can be used to map multiple plant traits, but there is a lack of generalized methods to translate reflectance data into relevant traits across different environments and sensors. This study proposes a multi-trait modeling approach using Convolutional Neural Networks, which outperforms single-trait models in predicting various structural and chemical traits in different vegetation types.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
H. M. Dierssen, M. Gierach, L. S. Guild, A. Mannino, J. Salisbury, S. Schollaert Uz, J. Scott, P. A. Townsend, K. Turpie, M. Tzortziou, E. Urquhart, R. Vandermeulen, P. J. Werdell
Summary: NASA plans to launch three new missions within the next decade using imaging spectrometers to study aquatic science and applications. These missions will evaluate long-term trends in phytoplankton biomass linked to climate change and provide new spectral capabilities for assessing aquatic biogeochemistry, biophysics, and habitats. Hyperspectral measurements combined with advanced retrieval algorithms can provide new information on phytoplankton community composition and water quality.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Environmental Sciences
Q. J. Antonio Guzman, Jesus N. Pinto-Ledezma, David Frantz, Philip A. Townsend, Jennifer Juzwik, Jeannine Cavender-Bares
Summary: This study proposes a new workflow for monitoring oak wilt disease using satellite observations. By analyzing the temporal changes in pigments and photosynthetic activity of oak trees affected by the pathogenic fungus, the disease progression can be tracked using land surface phenology metrics. The results show that it is feasible to accurately differentiate between healthy, symptomatic, and dead oak trees using satellite observations, providing valuable information for disease monitoring and treatment decision-making.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Ecology
Kimberly L. Thompson, Jonathan N. Pauli, Tedward Erker, Christopher J. Kucharik, Jason Schatz, Philip A. Townsend, Benjamin Zuckerberg
Summary: The complex interactions between ecology and socioeconomics in urban areas result in unique abiotic environments and ecosystems. This study explores the effects of air temperature and snow characteristics on soil surface temperatures in urban greenspaces. The results show that tree cover promotes warmer soil temperatures, while snow reduces variability in soil temperatures. Urban forests can provide a warming effect of up to 4 degrees Celsius, particularly during extreme cold. These findings highlight the importance of maximizing tree cover and supplementing greenspaces with vegetation to enhance snow retention during winter.
LANDSCAPE AND URBAN PLANNING
(2022)
