Article
Environmental Sciences
Akash Anand, Manish K. Pandey, Prashant K. Srivastava, Ayushi Gupta, Mohammed Latif Khan
Summary: This study focuses on predicting the regional distribution of the medicinal plant species Rhododendron arboreum in the Himalayan region. By using the BIOCLIM model and Convolutional Neural Network (CNN) architecture, it was found that CNN outperformed BIOCLIM in species distribution prediction, indicating the importance of handling nonlinear relationships for improved accuracy.
Article
Biodiversity Conservation
Benkai Xie, Xiaoxiao Zhang, Junling Lu, Fan Liu, Yuqing Fan
Summary: With the rapid development of China's port logistics industry due to economic globalization, concerns over increasing energy consumption and pollution emissions have prompted the need for ecological analysis. This study applies the theory of emergy analysis to improve the traditional calculation method of ecological footprint, and constructs an emergy-ecological footprint (EEF) model specifically for port logistics. By studying the ecological situation of Shanghai port logistics from 2009 to 2018, it is found that the energy footprint and pollution footprint are the major components of the ecological footprint. Despite the positive impact of port water logistics on natural resource development and ecological carrying capacity, Shanghai's port logistics still faces an ecological deficit. The study provides strategies and suggestions to improve the ecological situation, focusing on regulations, port facilities, collection and distribution structure, and awareness promotion. The findings not only contribute to the development of Shanghai's green port logistics but also provide valuable insights for other green ports.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Ilya M. D. Maclean, Regan Early
Summary: Current conservation policy assumes that suitable climate for many species will lie outside their current range, leading to predictions of numerous extinctions. However, this study shows that range shifts are often overestimated because the climate data used does not reflect microclimatic conditions experienced by many organisms. By modeling historic and current distributions of grassland and heathland plants using both macro- and microclimate data, the authors find that macroclimate models predict major range shifts (median 14 km), while microclimate models predict smaller shifts (generally less than 1 km) that match observed patterns more closely.
NATURE CLIMATE CHANGE
(2023)
Article
Biology
Sarah R. Weiskopf, Bonnie J. E. Myers, Maria Isabel Arce-Plata, Julia L. Blanchard, Simon Ferrier, Elizabeth A. Fulton, Mike Harfoot, Forest Isbell, Justin A. Johnson, Akira S. Mori, Ensheng Weng, Zuzana Harmackova, Maria Cecilia Londono-Murcia, Brian W. Miller, Laura M. Pereira, Isabel M. D. Rosa
Summary: Global biodiversity and ecosystem service models often operate independently, leading to overly optimistic projections of ecosystem services. In order to bridge the gap between biodiversity changes and ecosystem services, we propose two integration pathways and emphasize the need to integrate biodiversity, ecosystem function, and ecosystem service modeling to enhance global sustainability goals.
Article
Ecology
Pablo Moisset de Espanes, Rodrigo Ramos-Jiliberto, Jose A. Soto
Summary: Ecological theory emphasizes the importance of species diversity for ecosystem functioning and its services. The concept of order-invariance is proposed and tested in ecological network models, leading to a call for revisiting previous research theories.
Article
Engineering, Marine
Francis K. Wiese, R. John Nelson
Summary: The abundance and distribution of marine fishes are influenced by various factors, including environmental conditions, predator-prey relationships, multispecies interactions, and human impacts. Using the Star Diagram model, we can predict that certain fish species will see reduced populations under a warming scenario. The challenge for managers is to balance the impact of harvesting with the adaptability of the management system, taking into account the resilience and adaptation of the entire ecosystem.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Biodiversity Conservation
Matthew C. Fitzpatrick, Susanne Lachmuth, Natalie T. Haydt
Summary: ODMAP is a standardized protocol for reporting species distribution models (SDMs) that has the potential to improve the transparency and reproducibility of research outcomes, but its impact will depend on the support from journals, reviewers, and funding agencies.
Article
Computer Science, Interdisciplinary Applications
David Hah, John M. Quilty, Anna E. Sikorska-Senoner
Summary: A new statistical model, the stochastic CDDA, was proposed in this study to improve the simulations of ensemble hydro-logical models (HMs) using HM simulation results. The new SCDDA method achieved good performance in the experiment, indicating its ability to account for missing processes. The coverage probability plot was introduced as a diagnostic tool to measure the out-of-sample reliability of SCDDA.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Environmental Sciences
Chenglong Xu, Qiang Yu, Fei Wang, Shi Qiu, Mingsi Ai, Jikai Zhao
Summary: This study focuses on the Yellow River Basin and uses bird communities as indicator species to identify ecological sources and construct a bird diversity protection network. The results show that bird hotspots are predominantly clustered upstream and downstream in the basin, and adding ecological stepping stones can optimize ecological connectivity.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Fisheries
Ernesto Jardim, Manuela Azevedo, Jon Brodziak, Elizabeth N. Brooks, Kelli F. Johnson, Nikolai Klibansky, Colin P. Millar, Coilin Minto, Iago Mosqueira, Richard D. M. Nash, Paraskevas Vasilakopoulos, Brian K. Wells
Summary: This paper examines the potential of using ensemble modelling to capture assessment uncertainties and enhance the robustness of advice provision, discussing both the advantages and challenges of this approach. It emphasizes the uncertainties in stock assessment processes and the need for simpler models due to the complexity of fish population dynamics. Recommendations are made for revisions to the current assessment modelling methods and further research to evaluate the benefits in modelling and advice performance.
ICES JOURNAL OF MARINE SCIENCE
(2021)
Article
Multidisciplinary Sciences
Rachel H. Toczydlowski, Libby Liggins, Michelle R. Gaither, Tanner J. Anderson, Randi L. Barton, Justin T. Berg, Sofia G. Beskid, Beth Davis, Alonso Delgado, Emily Farrell, Maryam Ghoojaei, Nan Himmelsbach, Ann E. Holmes, Samantha R. Queeno, Thienthanh Trinh, Courtney A. Weyand, Gideon S. Bradburd, Cynthia Riginos, Robert J. Toonen, Eric D. Crandall
Summary: Genomic data are being generated and archived rapidly, but a lack of spatiotemporal metadata poses challenges for genetic diversity monitoring. Only a small fraction of genomic datasets contain geographic coordinates and collection years, highlighting the need for streamlined data processes and updated policies to address the growing metadata gap.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Environmental Sciences
Hamed Vagheei, Alex Laini, Paolo Vezza, Guillermo Palau-Salvador, Fulvio Boano
Summary: Understanding the effects of environmental stressors on ecological status is essential for freshwater management. This study uses an ecohydrological model based on SWAT to investigate the impact of climate change on the rivers in Albaida Valley. The model predicts decreased river discharge, increased nutrient concentrations, and decreased ecological status for the future compared to the baseline period. Our findings highlight the urgent need for scientifically informed decisions to manage and preserve freshwaters.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Biology
Chun-Huo Chiu, Anne Chao, Sebastian Vogel, Peter Kriegel, Simon Thorn
Summary: An ecological network refers to the interactions among sets of species, and its diversity can be quantified using a unified framework based on Hill numbers. This framework incorporates three dimensions of network diversity including interaction frequency, species phylogenies, and traits. A method called iNEXT.link is proposed to analyze network sampling data, which integrates four inference procedures to assess sample completeness, estimate true network diversity, perform non-asymptotic analysis, and estimate network specialization.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Zengshuai Qiu
Summary: This paper focuses on domain description of big data, proposing a hyperellipsoid model, an improved FDPC algorithm, and an online domain description algorithm to address spatial distribution and time-varying issues in big data. The proposed methods show competitive and promising performance in comparison with other existing algorithms.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2021)
Article
Agronomy
Jonathan Storkey, Joseph Helps, Richard Hull, Alice E. Milne, Helen Metcalfe
Summary: Weed population dynamics models are crucial for predicting outcomes of Integrated Weed Management (IWM) scenarios, especially with the increasing problem of herbicide resistance. A conceptual framework was developed to define IWM and serve as a standardized input template, allowing for comparison of model outputs and scenario design. By using object-oriented programming logic, four classes of weed management options were defined based on weed life cycle stages, facilitating systematic construction of alternative management scenarios.
Editorial Material
Biodiversity Conservation
Pawandeep Kaur, Jitendra Gaikwad, Birgitta Koenig-Ries
BIODIVERSITY AND CONSERVATION
(2016)
Article
Green & Sustainable Science & Technology
Hossam M. Faheem, Birgitta Konig-Ries, Muhammad Ahtisham Aslam, Naif Radi Aljohani, Iyad Katib
Article
Ecology
Dylan Craven, Marten Winter, Konstantin Hotzel, Jitendra Gaikwad, Nico Eisenhauer, Martin Hohmuth, Birgitta Koenig-Ries, Christian Wirth
ECOLOGY AND EVOLUTION
(2019)
Review
Ecology
Florian D. Schneider, David Fichtmueller, Martin M. Gossner, Anton Guentsch, Malte Jochum, Birgitta Koenig-Ries, Gaetane Le Provost, Peter Manning, Andreas Ostrowski, Caterina Penone, Nadja K. Simons
METHODS IN ECOLOGY AND EVOLUTION
(2019)
Article
Multidisciplinary Sciences
Felicitas Loeffler, Valentin Wesp, Birgitta Koenig-Ries, Friederike Klan
Summary: The retrieval of relevant data for biodiversity research is hindered by inadequate metadata that do not reflect information needs well. Existing metadata standards are not effectively utilized, and arbitrary keywords in descriptive fields also pose a problem for full text search.
Article
Mathematical & Computational Biology
Sheeba Samuel, Birgitta Koenig-Ries
Summary: This study presents the REPRODUCE-ME data model and ontology, which extends existing semantic web standards, to describe the end-to-end provenance of scientific experiments. The ontology interlinks computational and non-computational data and steps, achieving understandability and reproducibility. The effectiveness of the ontology is evaluated through its application to various experiments in different subject domains.
JOURNAL OF BIOMEDICAL SEMANTICS
(2022)
Article
Biodiversity Conservation
Nora Abdelmageed, Felicitas Loeffler, Leila Feddoul, Alsayed Algergawy, Sheeba Samuel, Jitendra Gaikwad, Anahita Kazem, Birgitta Koenig-Ries
Summary: This paper presents two gold-standard corpora for Named Entity Recognition (NER) and Relation Extraction (RE) generated from biodiversity datasets, which can be used as evaluation benchmarks for the development of new computer-supported tools that require machine learning or deep learning techniques.
BIODIVERSITY DATA JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Samira Babalou, Alsayed Algergawy, Birgitta Koenig-Ries
Summary: Computing the semantic similarity between pairs of terms is crucial for various shared data applications. One way to determine term similarity is to assess their word similarity using knowledge resources like ontologies or corpora. Information-theoretic approaches have shown promise by computing concept information content from ontologies. Choosing a suitable subsumer, called Consensus Common Subsumer (CCS), among common ancestors of two concepts can impact the quality of term similarity assessment.
DATA & KNOWLEDGE ENGINEERING
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Nora Abdelmageed, Alsayed Algergawy, Sheeba Samuel, Birgitta Koenig-Ries
Summary: Biodiversity is the variety of life on earth, and understanding its changes is crucial for sustaining life. This paper presents a core ontology design aiming to establish a link between foundational and domain-specific ontologies in biodiversity.
SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Alsayed Algergawy, Hamdi Hamed, Birgitta Koenig-Ries
Summary: Collaborative projects provide valuable data for answering complex research questions, but finding specific data in their repositories remains challenging. This paper introduces a new data analysis approach combining semantic web and machine learning to facilitate data analysis and enable crosscutting analyses.
SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Samira Babalou, Birgitta Koenig-Ries
ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2019 CONFERENCES
(2019)
Proceedings Paper
Computer Science, Information Systems
Michael Owonibi, Eleonora Petzold, Birgitta Koenig-Ries
2016 IEEE 18TH CONFERENCE ON BUSINESS INFORMATICS (CBI), VOL. 2
(2016)
Proceedings Paper
Computer Science, Information Systems
Michael Owonibi, Eleonora Petzold, Birgitta Koenig-Ries
INNOVATIONS IN ENTERPRISE INFORMATION SYSTEMS MANAGEMENT AND ENGINEERING
(2016)
Proceedings Paper
Computer Science, Software Engineering
Artur Felic, Felix Herrmann, Christian Hogrefe, Michael Klein, Birgitta Koenig-Ries
MODEL-DRIVEN ENGINEERING AND SOFTWARE DEVELOPMENT (MODELSWARD 2015)
(2015)
Proceedings Paper
Computer Science, Information Systems
Kobkaew Opasjumruskit, Birgitta Koenig-Ries, Jesus Exposito
SERVICE ORIENTED AND CLOUD COMPUTING, ESOCC 2015
(2015)
