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Cartographic support of the geoinformation system of agroecological assessment of agricultural lands

2025· article· W7119472166 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInterCarto InterGIS · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicSoil and Environmental Studies
Canadian institutionsnot available
FundersLomonosov Moscow State UniversitySiberian Branch, Russian Academy of SciencesRussian Academy of SciencesUniversity of AlbertaU.S. Department of Agriculture
KeywordsSoil mapSoil surveyAgroecologySoil waterLoamLand useTerrainSoil seriesLand coverHydrology (agriculture)

Abstract

fetched live from OpenAlex

A series of maps of agroecological typology of lands has been developed. A series of morphometric maps has been developed for geomorphological analysis of land use conditions, including maps of terrain elevation, slope steepness, vertical and horizontal dissection. The farm has a hilly relief with elevations ranging from 178 to 252 m with predominant slopes of 1.5–5°. Vertical dissection varies within 15–89 m, the density of horizontal dissection varies from 0.5 to 2.9 km/km2. Based on the digital version of the soil map at a scale of 1:10 000, maps of soil property indicators have been created, including physical clay (PC) content, soil waterlogging, and the degree of erosion. More than half of the land use area is represented by soils with a FG content of 40–50 %, slightly less common are soils of medium loamy composition with a FG content of 30–40 %, their share is 34 %. About 25 % of the land use area is subject to erosion, including weak and moderate erosion, another 24 % is excessively moistened. Analysis of geomorphological factors made it possible to identify five agroecological groups of lands, among which the most widespread is the semi-hydromorphic-erosive group (48 % of the area). This group occupies an altitudinal tier of 190–220 m with slopes of relief surfaces of more than 2°. The soil cover is characterized by the participation of slightly and moderately eroded sod-podzolic and sod-brown soils with slightly gleyic and gleyic, as well as washed soils. The share of eroded soils is 28 %, waterlogged—6 %. Intensive use of lands of this group is possible in special anti-erosion farming systems with the use of hydraulic engineering, forest and other meliorations. The erosion group of lands occupies an altitudinal tier of 220 m with a relief surface steepness exceeding 2°. The area of this group is 1 158 ha (24 %). This group is characterized by a contrasting soil cover, in which slightly and moderately eroded soils participate significantly—35 %, the share of semi-hydromorphic soils does not exceed 2.5 %. Differences in yield on various components of erosion structures can be smoothed out only with a high level of fertilizer application. Intensive use is possible subject to restrictions in the structure of arable land and the use of anti-erosion measures. Semi-hydromorphic-subordinate and hydromorphic-floodplain groups of lands occupy areas of 716 ha (15 %) and 559 ha (12 %), respectively. The soil cover of the hydromorphic-floodplain group includes alluvial and marshy soils. Such lands require special approaches when used.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.051
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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