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Record W6927358269 · doi:10.26349/st.per.0024.04

Sustainable development of the urban agglomeration through the creation of an urban network of protected areas: case study of Kyiv city urban ecosystem

2018· article· en· W6927358269 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Institutional Repository of the National Aviation University of Ukraine (National Aviation University, Ukraine) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifeUrban ecosystemUrban planningContext (archaeology)Urban ecologyNature reserveWildlife conservationResource (disambiguation)Urbanization

Abstract

fetched live from OpenAlex

Adams L.W., 1994, Urban wildlife habitats: a landscape perspective, Minneapolis: University Minnesota Press. Adams L.H., Dove L.E., 1989, Wildlife reserves and corridors in the urban environment: a guide to ecological landscape planning and resource conservation, Columbia: National Institute for Urban Wildlife. Anakhov P.V., Kucheryawa I.M., Sorokina N.L., 2018, Use of water resources of Kiev in the past and present, Hydropower of Ukraine, 3-4, 76-80. Batog S.V., 2017, Ecological and hydrological characteristics of Kyiv waters bodies: PhD "esis, Geography. Blair R.B., 2001, Creating a homogeneous avifauna, in: Avian conservation and ecology in an urbanizing world, eds J.M. Marzluff, R. Bowman, R. Donnelly, Norwell, MA: Kluwer Academic Publishers. Clergeau P., Mennechez G., Sauvage A., Lemoine A., 2001, Human perception and appreciation of birds: A motivation for wildlife conservation in urban environments of France, in: Avian ecology in an urbanizing world, eds J.M. Marzluff, R. Bowman, R. Donnelly, Norwell, MA: Kluwer Academic Publishers. Czech B., Krausman P.R., 1997, Distribution and causation of species endangerment in the United States, Science, 277, 1116-1117. Donnelly R., Marzluff J.M., 2004, Importance of reserve size and landscape context to urban bird conservation, Conservation Biology, 18, 733-745. Ecological passport of Kyiv, 2018, Kyiv: Ministry of Environment and Natural Resources of Ukraine. Edgar D.R., Kershaw G.P., 1994, "e density and diversity of the bird populations in three residential communities in Edmonton, Alberta, Canadian Field-Naturalist, 108, 156-161. Emlen J.T., 1974, An urban bird community in Tucson, Arizona: derivation, structure, regulation, Condor, 76, 184-197. Girault C., 2017, Between naturalness and urbanity, how are protected areas integrated into cities? "e case of Helsinki (Finland), Articulo. Journal of Urban Research, 16, 32-48; DOI: 10.4000/articulo.3270. Lancaster R.K., Rees W.E., 1979, Bird communities and the structure of urban habitats, Canadian Journal of Zoology, 57, 2358-2368. Leedy D.L., Adams L.W., 1984, A guide to urban wildlife management, Columbia: National Institute for Urban Wildlife. Lenzen M., Moran D., Kanemoto K., Foran B., Lobefaro L., A. Geschke, 2010, International trade drives biodiversity threats in developing nations, Nature, 486, 109-112. Marzluff J.M., Rodewald A.D., 2008, Conserving Biodiversity in Urbanizing Areas: Nontraditional Views from a Bird’s Perspective, Cities and the Environment, 1(2), 1-27. McKinney M.L., 2002, Urbanization, biodiversity, and conservation, BioScience, 52, 883- 890. Melles S.J., 2005, Urban bird diversity as an indicator of human social diversity and economic inequality in Vancouver, British Columbia, Urban habitats, 3(1), 25-48. Miller J.R., Hobbs R.J., 2002, Conservation where people live and work, Conservation Biology, 16(2), 24-39. Picke& S.T.A., Cadenasso M.L., Grove J.M., Nilon C.H., Pouyat R.V., Zipperer W.C., Costanza R., 2001, Urban ecological systems: Linking terrestrial ecological, physical, and socioeconomic components of metropolitan areas, Annual Review of Ecology and Systematics, 32, 127-157. Rodary E., Bruno-Lézy L., Dellier J., Guyot S., Landy F., 2018, "e Quest for Naturbanity, in Urban National Parks to Natured Cities in the Global South, Singapore: Springer; DOI: 1-31. 10.1007/978-981-10-8462-1_1. Rosenzweig M.L., 2003, Win-win ecology: How the earth’s species can survive in the midst of human enterprise, Oxford: Oxford University Press. Sanderson E.W., Huron A., 2011, Conservation in the City, Conservation Biology, 25(3), 421-423; DOI: 10.1111/j.1523-1739.2011.01683.x. Shafer C.L., 1997, Terrestrial nature reserve design at the urban/rural interface, in: Conservation in highly #agmented landscapes, ed. M.W. Schwartz, New York: Chapman and Hall. Shochat E., Lerman S., Fernández-Juricic E., 2010, Birds in urban ecosystems: population dynamics, community structure, biodiversity, and conservation, Urban Ecosystem Ecology, 55, 75-86; DOI:10.2134/agronmonogr55.c4. Soulé M.E., 1991, Land use planning and wildlife maintenance: guidelines for conserving wildlife in an urban landscape, APA Journal Summer, 3, 313-323. Turner W., Nakamura T., Dine&i M., 2004, Global urbanization and the separation of humans from nature, Bioscience, 54(6), 585-590. Vasilyuk O., Kostiushin V., Norenko K., Plyga A., Beautiful E., Kolomytsev G., Faikova M., 2012, Nature reserve fund of Kyiv region, Kyiv: National Ecological Center of Ukraine. World Urbanization Prospects: "e 2018 Revision, 2018, New York: United Nations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.003
Scholarly communication0.0020.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.208
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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