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Work with thought leaders and academic experts in ecology

Companies can greatly benefit from working with experts in the field of Ecology. These researchers can provide valuable insights into environmental impact, help develop sustainable practices, and contribute to conservation efforts. They can also assist in conducting environmental assessments, analyzing data, and identifying potential risks. By collaborating with an academic researcher in Ecology, companies can enhance their sustainability efforts, improve their reputation, and gain a competitive edge in the market.

Researchers on NotedSource with backgrounds in ecology include Dr. Joachim Scholz, Aayudh Das, Ph.D., Yseult Héjja-Brichard, Ph.D., Ajay Badhan, Tali Reiner Brodetzki, Douglas Sponsler, Michael Hickner, Edoardo Airoldi, Jeffrey Townsend, Jim Samuel, Francisco JRC Coelho, and Ariel Aptekmann.

Dr. Joachim Scholz

Buffalo, New York, United States of America
The world's first Augmented Reality Marketing professor
Research Interests (1)
Marketing
About
I am a marketing professor who specializes in augmented/extended realities, metaverse marketing, brand storytelling, and influencer marketing. I am a public speaker and consultant who helps your brand thrive in today's and tomorrow's new realities. <br> \~ ⨏ \~ <br> MY PASSION is to explore augmented reality’s strategic potential for marketing: I published the first-ever conceptual article on AR marketing, which won Article of the Year award and is one of the most-cited publications about this topic. I have taught AR since 2015 as part of my social media and digital marketing courses at Cal Poly. At Brock University, I developed and teach the world’s first dedicated Augmented Reality Marketing courses for undergraduate as well as MBA students. <br> \~ ⚬ \~ <br> MY RESEARCH combines ethnographic methods with socio-cultural frameworks to cut through the complexities of marketing and consumption: I explore how augmented reality can deepen consumer/brand relationships, how it helps customers feel more competent and autonomous, how Pokémon GO players co-create and transport into hybrid-realities, how managers can deploy AR initiatives, and how various types of augmented realities offer different strategic opportunities for brands. My social media research explores how marketers can build their brands in today’s polarized and tribal societies by fighting back against online critics. <br> \~ × \~ <br> I LOVE building bridges between academia and the broader business community: I'm a member of Adweek's Academic Council and serve on the advisory board of Schulich’s Future of Marketing Institute. I regularly publish research-driven insights in Adweek, MKTGsquad, and other AR-specific publications. I provide expertise for marketing agencies and consult wine, CPG and technology companies in the US and Canada on branding and augmented reality marketing. I decipher the babel and help people see the big picture. <br> \~ 🦊 \~

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Aayudh Das, Ph.D.

Boston, Massachusetts, United States of America
Scientist at Garuda therapeutics, specialized in Genomics and Computational Biology
Most Relevant Research Interests
Ecology
Other Research Interests (14)
Transcriptomics
Genomics
Proteomics
Computational Biology
Metabolomics
And 9 more
About
I am a dedicated Scientist-I at Garuda Therapeutics, where I specialize in computational biology and genomics within the R&D department. My work primarily revolves around developing and optimizing pipelines for variant calling using Strelka2 and GATK4 with Whole Genome Sequencing (WGS) to identify oncogenes in human induced pluripotent stem cells (iPSCs). This involves extensive work in the qualification and validation of these pipelines for regulatory filings, as well as leveraging databases such as ClinVar, COSMIC, and DepMap to craft targeted oncogenes panels for deep sequencing. I also apply Next-Generation Sequencing (NGS) for downstream sequencing to validate CRISPR knockouts, including the identification and validation of CRISPR off-targets using techniques like rhAMPseq and Induce-seq. Additionally, my expertise extends to single-cell sequencing analysis and understanding structural variants with Optical Genome Mapping (Bionano). Prior to joining Garuda Therapeutics, I completed a postdoctoral fellowship in computational biology at Pennsylvania State University, where I honed my skills in identifying climate-adaptive variants and conducted Genome-Wide Association Studies (GWAS) to uncover resistance genes against parasites and other stressors. My academic journey began at the University of Vermont, where I explored abiotic stress resistance genes using transcriptomics and developed a robust understanding of RNA-seq data analysis, from assembly to gene annotation. My work is driven by a passion for leveraging computational and genomics tools to address pressing challenges in biology and healthcare, combining my rigorous academic training with a practical, solution-oriented approach to research and development.
Most Relevant Publications (1+)

10 total publications

Metabolomic Profiling of Soybeans (Glycine max L.) Reveals the Importance of Sugar and Nitrogen Metabolism under Drought and Heat Stress

Plants / May 25, 2017

Das, A., Rushton, P., & Rohila, J. (2017). Metabolomic Profiling of Soybeans (Glycine max L.) Reveals the Importance of Sugar and Nitrogen Metabolism under Drought and Heat Stress. Plants, 6(4), 21. https://doi.org/10.3390/plants6020021

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Yseult Héjja-Brichard, Ph.D.

Baltimore, Maryland, United States of America
Postdoctoral researcher in Biological Sciences at University of Maryland Baltimore County
Research Interests (7)
Natural statistics
Visual cognition
Cognitive neuroscience
Sensory ecology
Stereoscopic vision
And 2 more
About
Yseult Héjja-Brichard received her PhD in Neuroscience, Cognition, and Behaviour from Université Paul-Sabatier Toulouse, France in 2020. She subsequently completed her first postdoctoral training at the Centre for functional and evolutionary ecology (CNRS) in Montpellier, France. She is now working as a postdoctoral research associate at the University of Maryland, Baltimore County. Yseult Héjja-Brichard’s research interests lie at the intersection of cognitive neuroscience and behavioural ecology. Her work has primarily focused on understanding how the brain efficiently processes information to enable decisions and behaviours. She informs those processes using an evolutionary and ecological perspective.

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Ajay Badhan

Lethbridge, Alberta, Canada
Research Biologist, Lethbridge Research Center, Canada
Most Relevant Research Interests
Ecology
Other Research Interests (26)
Animal nutrition
cell wall biosynthesis and its deconstruction
biofuels
Waste Management and Disposal
Renewable Energy, Sustainability and the Environment
And 21 more
About
I am a proficient researcher with valuable research and teaching experience acquired at distinguished institutes like Complex Carbohydrate Research Center, US, University of Alberta, Canada, and Lethbridge Research Center (AAFC), Canada. I have been working for past 15 years on multiple projects focused on the economical, environmental and social sustainability of agricultural production. Improvement in livestock performance, productivity, and health by unlocking the microbiome, development of clean technologies, improving agriculture environmental performance, and Increase agro-ecosystem resilience are prime objectives for my research.
Most Relevant Publications (1+)

29 total publications

Comparative analysis of functional diversity of rumen microbiome in bison and beef heifers

Applied and Environmental Microbiology / Dec 21, 2023

Nguyen, T. T. M., Badhan, A. K., Reid, I. D., Ribeiro, G., Gruninger, R., Tsang, A., Guan, L. L., & McAllister, T. (2023). Comparative analysis of functional diversity of rumen microbiome in bison and beef heifers. Applied and Environmental Microbiology, 89(12). https://doi.org/10.1128/aem.01320-23

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Tali Reiner Brodetzki

Philadelphia , Pennsylvania, United States of America
Assistant Professor at La Salle University
Most Relevant Research Interests
Ecology
Other Research Interests (11)
Evolution
Social insects
Behavioral ecology
Population genetics
Epigenetics
And 6 more
About
Tali Reiner Brodetzki is a highly accomplished scientist with a strong background in zoology. She received her Ph.D. in Zoology from Tel Aviv University in 2018, where she focused on the study of animal behavior and evolutionary ecology. During her graduate studies, she published several papers in top scientific journals and received numerous awards for her research. After completing her Ph.D., Tali went on to work as a Postdoctoral Fellow at both the University of Pennsylvania and Rutgers University. During this time, she continued to conduct research on animal behavior and evolution, and also gained valuable experience in teaching and mentoring students. In 2020, Tali joined the faculty at La Salle University as an Assistant Professor in the Department of Biology. She is currently conducting research on the effects of human activities on animal behavior and adaptation, and is also teaching undergraduate and graduate courses in zoology, bioinformatics, genomics, and evolutionary biology. Tali's research has been widely recognized and she has received numerous grants and awards, including the prestigious European Molecular Biology Organisation's postdoctoral award. She is also a member of several professional organizations, including the Society for Integrative and Comparative Biology and the Animal Behavior Society. In addition to her academic and research accomplishments, Tali is also passionate about science outreach and communication. She regularly presents her research at conferences and seminars, and also participates in science fairs and other community events. She is dedicated to inspiring the next generation of scientists and promoting the importance of studying and protecting our natural world. Overall, Tali Reiner Brodetzki is a highly skilled and dedicated scientist who is making significant contributions to the field of zoology. Her education and experience have prepared her to continue making important discoveries and advancements in the study of animal behavior and evolution.
Most Relevant Publications (1+)

9 total publications

Determining social and population structures requires multiple approaches: A case study of the desert ant Cataglyphis israelensis

Ecology and Evolution / Dec 01, 2018

Reiner Brodetzki, T., & Hefetz, A. (2018). Determining social and population structures requires multiple approaches: A case study of the desert ant Cataglyphis israelensis. Ecology and Evolution, 8(24), 12365–12374. Portico. https://doi.org/10.1002/ece3.4535

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Douglas Sponsler

Philadelphia, Pennsylvania, United States of America
Ecologist | Entomologist | Data Scientist | Writer
Most Relevant Research Interests
Ecology
Other Research Interests (18)
urban landscape ecology
pollinator biology
data analytics
causal inference
Bayesian modeling
And 13 more
About
**During my career as an ecologist, I have established myself as an international authority on plant-pollinator interactions, with more than 20 peer-reviewed publications, more than 20 invited presentations, and research collaborations across 19 countries. My projects have taken me from the farmland of Ohio to the rooftops of Philadelphia to the endangered grasslands of Europe. Along the way, I have developed advanced skills in Bayesian statistics, causal inference, and scientific writing.**
Most Relevant Publications (2+)

24 total publications

Spatial and taxonomic patterns of honey bee foraging: A choice test between urban and agricultural landscapes

Journal of Urban Ecology / Jan 01, 2017

Sponsler, D. B., Matcham, E. G., Lin, C.-H., Lanterman, J. L., & Johnson, R. M. (2017). Spatial and taxonomic patterns of honey bee foraging: A choice test between urban and agricultural landscapes. Journal of Urban Ecology, 3(1). https://doi.org/10.1093/jue/juw008

Characterizing the floral resources of a North American metropolis using a honey bee foraging assay

Ecosphere / Apr 01, 2020

Sponsler, D. B., Shump, D., Richardson, R. T., & Grozinger, C. M. (2020). Characterizing the floral resources of a North American metropolis using a honey bee foraging assay. Ecosphere, 11(4). Portico. https://doi.org/10.1002/ecs2.3102

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Michael Hickner

Michigan State University
Most Relevant Research Interests
Ecology
Other Research Interests (35)
polymers : 3D printing : materials chemistry : energy : water
Colloid and Surface Chemistry
Biochemistry
Catalysis
Pollution
And 30 more
About
Michael Hickner is an accomplished researcher and educator with an extensive background in chemical engineering. He received his PhD in Chemical Engineering from Virginia Tech in 2003. For the past 15 years, Hickner has been a Rogerson Endowed Professor at Michigan State University, where he has conducted highly acclaimed research in the areas of sustainable energy technologies and nanomanufacturing. Previous to this appointment, Hickner was a Senior Member of the Technical Staff at Sandia National Laboratories, where he conducted post-doctoral research in the fields of materials science, nanotechnology, and catalysis. Given his diverse skill set and supportive leadership style, Michigan State students look to Hickner to provide them with the guidance, mentorship, and educational tools necessary to excel in the field of chemical engineering.
Most Relevant Publications (2+)

217 total publications

Single-Step Fabrication Using a Phase Inversion Method of Poly(vinylidene fluoride) (PVDF) Activated Carbon Air Cathodes for Microbial Fuel Cells

Environmental Science &amp; Technology Letters / Oct 06, 2014

Yang, W., He, W., Zhang, F., Hickner, M. A., & Logan, B. E. (2014). Single-Step Fabrication Using a Phase Inversion Method of Poly(vinylidene fluoride) (PVDF) Activated Carbon Air Cathodes for Microbial Fuel Cells. Environmental Science &amp; Technology Letters, 1(10), 416–420. https://doi.org/10.1021/ez5002769

Salt Concentration Differences Alter Membrane Resistance in Reverse Electrodialysis Stacks

Environmental Science &amp; Technology Letters / Oct 07, 2013

Geise, G. M., Curtis, A. J., Hatzell, M. C., Hickner, M. A., & Logan, B. E. (2013). Salt Concentration Differences Alter Membrane Resistance in Reverse Electrodialysis Stacks. Environmental Science &amp; Technology Letters, 1(1), 36–39. https://doi.org/10.1021/ez4000719

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Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Ecology
Other Research Interests (43)
Statistics
Causal Inference
Network Science
Cell Biology
Molecular Biology
And 38 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.
Most Relevant Publications (4+)

106 total publications

Post-transcriptional regulation across human tissues

PLOS Computational Biology / May 08, 2017

Franks, A., Airoldi, E., & Slavov, N. (2017). Post-transcriptional regulation across human tissues. PLOS Computational Biology, 13(5), e1005535. https://doi.org/10.1371/journal.pcbi.1005535

Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells

PLoS Computational Biology / Dec 16, 2010

Markowetz, F., Mulder, K. W., Airoldi, E. M., Lemischka, I. R., & Troyanskaya, O. G. (2010). Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells. PLoS Computational Biology, 6(12), e1001034. https://doi.org/10.1371/journal.pcbi.1001034

Predicting Cellular Growth from Gene Expression Signatures

PLoS Computational Biology / Jan 02, 2009

Airoldi, E. M., Huttenhower, C., Gresham, D., Lu, C., Caudy, A. A., Dunham, M. J., Broach, J. R., Botstein, D., & Troyanskaya, O. G. (2009). Predicting Cellular Growth from Gene Expression Signatures. PLoS Computational Biology, 5(1), e1000257. https://doi.org/10.1371/journal.pcbi.1000257

Getting Started in Probabilistic Graphical Models

PLoS Computational Biology / Dec 07, 2007

Airoldi, E. M. (2007). Getting Started in Probabilistic Graphical Models. PLoS Computational Biology, 3(12), e252. https://doi.org/10.1371/journal.pcbi.0030252

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Jeffrey Townsend

New Haven, CT
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Interests
Ecology
Other Research Interests (52)
Evolutionary Genomics
Microbiology
Infectious Diseases
Genetics
Cell Biology
And 47 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.
Most Relevant Publications (3+)

207 total publications

Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy

PLOS Computational Biology / Jun 09, 2021

Wells, C. R., Cao, Y., Durham, D. P., Byrareddy, S. N., Ansari, A. A., Ruddle, N. H., Townsend, J. P., Galvani, A. P., & Perelson, A. S. (2021). Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy. PLOS Computational Biology, 17(6), e1009031. https://doi.org/10.1371/journal.pcbi.1009031

The impact of incorporating molecular evolutionary model into predictions of phylogenetic signal and noise

Frontiers in Ecology and Evolution / Apr 16, 2014

Su, Z., Wang, Z., López-Giráldez, F., & Townsend, J. P. (2014). The impact of incorporating molecular evolutionary model into predictions of phylogenetic signal and noise. Frontiers in Ecology and Evolution, 2. https://doi.org/10.3389/fevo.2014.00011

Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences

PLoS Computational Biology / Jun 26, 2009

Zhang, Z., & Townsend, J. P. (2009). Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences. PLoS Computational Biology, 5(6), e1000421. https://doi.org/10.1371/journal.pcbi.1000421

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Jim Samuel

Associate Professor at Rutgers University
Research Interests (22)
Analytics
Artificial Intelligence
Informatics
Machine Learning
NLP NLU NLG Behavioral Finance
And 17 more
About
Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 

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Francisco JRC Coelho

Aveiro
Researcher/ Microbiome/ Bussiness enthusiast
Most Relevant Research Interests
Ecology
Other Research Interests (20)
Molecular biology
Microbial Ecology
Environmental Microbiology
Microbiome
Nature and Landscape Conservation
And 15 more
About
I am a generalist with a strong background in research and a passion for exploring new ideas and contributing to business development. My journey as a researcher began in 2009 at the University of Aveiro. Over the years, I progressed from a PhD student to a postdoctoral researcher and ultimately became a researcher, funding my positions through competitive calls. My technical background spans across several areas and with different degrees of expertise. These include microbiology, microbiome analysis, molecular biology, bioinformatic and biostatistics. I have authored and co-authored over 35 articles, some of which have been published in high profile scientific journals (https://www.cienciavitae.pt/portal/2119-2C29-3E33). I have co-founded two startups and was involved in all the process, including IP protection, prototype development, and engaging potential customers. I possess a comprehensive understanding of day-to-day business operations, including marketing, sales, and finance. I am driven by curiosity to learn and thrive in dynamic environments that foster innovation and growth.
Most Relevant Publications (9+)

37 total publications

Interactive effects of global climate change and pollution on marine microbes: the way ahead

Ecology and Evolution / Apr 23, 2013

Coelho, F. J. R. C., Santos, A. L., Coimbra, J., Almeida, A., Cunha, Â., Cleary, D. F. R., Calado, R., & Gomes, N. C. M. (2013). Interactive effects of global climate change and pollution on marine microbes: the way ahead. Ecology and Evolution, 3(6), 1808–1818. Portico. https://doi.org/10.1002/ece3.565

Unraveling the interactive effects of climate change and oil contamination on laboratory‐simulated estuarine benthic communities

Global Change Biology / Jan 05, 2015

Coelho, F. J. R. C., Cleary, D. F. R., Rocha, R. J. M., Calado, R., Castanheira, J. M., Rocha, S. M., Silva, A. M. S., Simões, M. M. Q., Oliveira, V., Lillebø, A. I., Almeida, A., Cunha, Â., Lopes, I., Ribeiro, R., Moreira‐Santos, M., Marques, C. R., Costa, R., Pereira, R., & Gomes, N. C. M. (2015). Unraveling the interactive effects of climate change and oil contamination on laboratory‐simulated estuarine benthic communities. Global Change Biology, 21(5), 1871–1886. Portico. https://doi.org/10.1111/gcb.12801

Effects of Monospecific Banks of Salt Marsh Vegetation on Sediment Bacterial Communities

Microbial Ecology / May 22, 2010

Oliveira, V., Santos, A. L., Coelho, F., Gomes, N. C. M., Silva, H., Almeida, A., & Cunha, Â. (2010). Effects of Monospecific Banks of Salt Marsh Vegetation on Sediment Bacterial Communities. Microbial Ecology, 60(1), 167–179. https://doi.org/10.1007/s00248-010-9678-6

Relation between bacterial activity in the surface microlayer and estuarine hydrodynamics

FEMS Microbiology Ecology / Jul 19, 2011

Santos, L., Santos, A. L., Coelho, F. J. R. C., Gomes, N. C. M., Dias, J. M., Cunha, Â., & Almeida, A. (2011). Relation between bacterial activity in the surface microlayer and estuarine hydrodynamics: Bacterial activity in the SML and estuarine hydrodynamics. FEMS Microbiology Ecology, 77(3), 636–646. https://doi.org/10.1111/j.1574-6941.2011.01147.x

A Study of Sponge Symbionts from Different Light Habitats

Microbial Ecology / Aug 19, 2023

Cleary, D. F. R., de Voogd, N. J., Stuij, T. M., Swierts, T., Oliveira, V., Polónia, A. R. M., Louvado, A., Gomes, N. C. M., & Coelho, F. J. R. C. (2023). A Study of Sponge Symbionts from Different Light Habitats. Microbial Ecology, 86(4), 2819–2837. https://doi.org/10.1007/s00248-023-02267-x

Sponge Prokaryote Communities in Taiwanese Coral Reef and Shallow Hydrothermal Vent Ecosystems

Microbial Ecology / Jul 11, 2017

Coelho, F. J. R. C., Cleary, D. F. R., Gomes, N. C. M., Pólonia, A. R. M., Huang, Y. M., Liu, L.-L., & de Voogd, N. J. (2017). Sponge Prokaryote Communities in Taiwanese Coral Reef and Shallow Hydrothermal Vent Ecosystems. Microbial Ecology, 75(1), 239–254. https://doi.org/10.1007/s00248-017-1023-x

Sediment depth and habitat as predictors of the diversity and composition of sediment bacterial communities in an inter‐tidal estuarine environment

Marine Ecology / Mar 15, 2017

Cleary, D. F. R., Coelho, F. J. R. C., Oliveira, V., Gomes, N. C. M., & Polónia, A. R. M. (2017). Sediment depth and habitat as predictors of the diversity and composition of sediment bacterial communities in an inter‐tidal estuarine environment. Marine Ecology, 38(2). Portico. https://doi.org/10.1111/maec.12411

Heterotrophic activities of neustonic and planktonic bacterial communities in an estuarine environment (Ria de Aveiro)

Journal of Plankton Research / Aug 21, 2013

Santos, L., Santos, A. L., Coelho, F. J. R. C., Marcial Gomes, N. C., Dias, J. M., Cunha, A., & Almeida, A. (2013). Heterotrophic activities of neustonic and planktonic bacterial communities in an estuarine environment (Ria de Aveiro). Journal of Plankton Research, 36(1), 230–242. https://doi.org/10.1093/plankt/fbt084

Development and validation of an experimental life support system for assessing the effects of global climate change and environmental contamination on estuarine and coastal marine benthic communities

Global Change Biology / May 29, 2013

Coelho, F. J. R. C., Rocha, R. J. M., Pires, A. C. C., Ladeiro, B., Castanheira, J. M., Costa, R., Almeida, A., Cunha, Â., Lillebø, A. I., Ribeiro, R., Pereira, R., Lopes, I., Marques, C., Moreira‐Santos, M., Calado, R., Cleary, D. F. R., & Gomes, N. C. M. (2013). Development and validation of an experimental life support system for assessing the effects of global climate change and environmental contamination on estuarine and coastal marine benthic communities. Global Change Biology, 19(8), 2584–2595. Portico. https://doi.org/10.1111/gcb.12227

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Ariel Aptekmann

Bioinformatician at Hackensack Meridian Hospital Center for Discovery and Innovation
Research Interests (22)
Computational biology
bioinformatics
metagenomics
evolution
Genetics
And 17 more
About
I am a bioinformatician and researcher in computational biology. My research focuses on the application of machine learning and data analysis to understand the molecular basis of disease. I also work on developing novel software tools for data management and analysis.

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Example ecology projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on ecology?

Biodiversity Conservation in Manufacturing

An academic researcher in Ecology can help manufacturing companies develop strategies to conserve biodiversity in their operations. By analyzing the impact of manufacturing processes on local ecosystems, the researcher can suggest measures to minimize negative effects and promote sustainable practices.

Environmental Impact Assessment for Construction Projects

When planning construction projects, companies can collaborate with Ecology experts to conduct thorough environmental impact assessments. These researchers can identify potential risks to ecosystems, recommend mitigation measures, and ensure compliance with environmental regulations.

Sustainable Agriculture Practices

Academic researchers in Ecology can assist agricultural companies in implementing sustainable practices. They can analyze soil health, biodiversity, and pest management strategies to optimize crop production while minimizing environmental impact. This collaboration can lead to improved efficiency and reduced resource consumption.

Ecosystem Restoration for Mining Companies

Mining companies can benefit from collaborating with Ecology researchers to restore ecosystems affected by their operations. These experts can develop restoration plans, monitor biodiversity recovery, and provide guidance on sustainable mining practices to minimize environmental damage.

Climate Change Adaptation Strategies for Energy Companies

Energy companies can work with Ecology experts to develop climate change adaptation strategies. These researchers can assess the vulnerability of energy infrastructure to climate-related risks, recommend resilience measures, and help companies transition to renewable energy sources.