RUDN University Scientists Fit Pets in the Classification of Ecosystem Services
Ecosystem services (varied benefits to humans provided by nature) play an important role in urban planning and management. These include, for example, energy sources, fresh water, a recreational resource (the opportunity to walk and relax in natural environment). There are several generally accepted classifications of ecosystem services. However, none of them explicitly considers pets. Therefore, the interests of pet owners may lack in urban planning and management. RUDN University scientists determined the ecosystem services that people receive from pets and compared them with two classifications: CICES (Common International Classification of Ecosystem Services) and NCP (Nature’s contributions to people).
“In the urban environment, pets influence peoples’ way of life and well-being. However, in both the Common International Classification of Ecosystem Services (CICES) as well as in the nature’s contributions to people (NCP) classification, pets such as cats and dogs are not explicitly considered, whereas both frameworks allow for depicting the benefits derived from domestic animals such as livestock. This study aims at contributing to this knowledge gap”, said Victor Matasov, Ph.D., the researcher at RUDN University’s Smart Urban Nature Lab.
Scientists conducted a survey to determine why people in the metropolis have pets and what benefits they get from it. The received answers were then translated into the existing classifications of ecosystem services.
The online survey was conducted in March-April 2020 among residents of Moscow. The authors received 229 responses. The survey consisted of 17 questions divided into three blocks: living with a pet, the availability of urban infrastructure and general information about the respondent. As a result, they identified 12 categories of reasons for owning a pet and found the corresponding sections in CICES and NCP. For example, several reasons at once: not to feel alone, for beauty/to admire, to shelter, correspond to class 3.1.1.2 in CICES “Characteristics of living systems that enable education and training”. And such practical functions as hunting cats for mice — class 2.2.3.1. “Pest control (including invasive species)”.
“Considering an increase in pet owners, the interests and needs of this distinct stakeholder group need to be considered in urban planning and management. Pets’ integration into classifications and thus assessments of the urban ES can be a crucial step towards achieving this goal”, said Anastasia Konstantinova, Ph.D., the researcher at RUDN University’s Smart Urban Nature Lab.
The results are published in the journal Sustainability.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.