Pasture condition in the Mongolian steppe: Cross-validating traditional ecological knowledge and field-based ecological surveys

Mongolian steppes are still under traditional land use by mobile pastoralism and remain relatively intact. Traditional ecological knowledge (TEK) has always played an essential role in herders' assessments of pasture conditions, and decision-making regarding their movements. In the last two decades, Mongolia's rapid socio-economic development resulted in dramatically increasing livestock numbers and expanding settlements, raising concerns about rangeland degradation associated with potential declines in herders' TEK. We compared quantitative and qualitative data from interviews on herders' TEK and standard ecological assessments to assess the level of congruence. In 2020, a total of 367 households across ten sampling sites were interviewed about pasture condition, TEK on forage and degradation indicator plants. For the same sites, we collected field-based data on plant species richness, composition and biomass, as well as remote sensing-derived biomass estimates. Our results highlight variance in TEK: even within the same sites, there were widely diverging perspectives on pasture condition and its trends, forage palatability and degradation indicator plants, suggesting that there is limited exchange among herders. Multivariate analyses showed that herders' assessments had a moderate association with field-based vegetation data, reinforcing that comprehensive evaluations of pasture conditions still require field-based assessments. These findings underscore the need for stronger communication between scientists and herders, as well as enhanced transfer of TEK regarding current and changing pasture conditions. Since TEK and its transmission play a key role in herders' movement decisions and are vital for future rangeland monitoring, capacity building is recommended to support the development of sustainable land use policies that uphold ecological integrity. • First attempt to cross-validate herders’ traditional ecological knowledge with ecological assessments of pasture condition in Mongolia • Partial congruence between the two approaches • Large variance among herders' assessments pointing to limited knowledge transfer between herders • We recommend capacity building on pasture assessment to assist local herders

Authors

Institutions

Publication Details

Journal
Biological Conservation
Published
2025-10-31
DOI
https://doi.org/10.1016/j.biocon.2025.111587
Primary Topic
Rangeland Management and Livestock Ecology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pasture condition in the Mongolian steppe: Cross-validating traditional ecological knowledge and field-based ecological surveys

Thomas Mueller, Irene Ring, Oyunbileg Munkhzul, Batbuyan Batjav et al.
Biological Conservation
Rangeland Management and Livestock Ecology
article

Pasture condition in the Mongolian steppe: Cross-validating traditional ecological knowledge and field-based ecological surveys

Thomas Mueller, Irene Ring, Oyunbileg Munkhzul, Batbuyan Batjav, Christiane M. Ritz, Ulan Kasymov, Ganzorig Gonchigsumlaa, Karsten Wesche, Sugar Damdindorj, Thanh Noi Phan, Lukas Lehnert, Lukas Drees, Khurelpurev Oyundelger, Marion Mehring, Yun Wang
article en

Abstract

Mongolian steppes are still under traditional land use by mobile pastoralism and remain relatively intact. Traditional ecological knowledge (TEK) has always played an essential role in herders' assessments of pasture conditions, and decision-making regarding their movements. In the last two decades, Mongolia's rapid socio-economic development resulted in dramatically increasing livestock numbers and expanding settlements, raising concerns about rangeland degradation associated with potential declines in herders' TEK. We compared quantitative and qualitative data from interviews on herders' TEK and standard ecological assessments to assess the level of congruence. In 2020, a total of 367 households across ten sampling sites were interviewed about pasture condition, TEK on forage and degradation indicator plants. For the same sites, we collected field-based data on plant species richness, composition and biomass, as well as remote sensing-derived biomass estimates. Our results highlight variance in TEK: even within the same sites, there were widely diverging perspectives on pasture condition and its trends, forage palatability and degradation indicator plants, suggesting that there is limited exchange among herders. Multivariate analyses showed that herders' assessments had a moderate association with field-based vegetation data, reinforcing that comprehensive evaluations of pasture conditions still require field-based assessments. These findings underscore the need for stronger communication between scientists and herders, as well as enhanced transfer of TEK regarding current and changing pasture conditions. Since TEK and its transmission play a key role in herders' movement decisions and are vital for future rangeland monitoring, capacity building is recommended to support the development of sustainable land use policies that uphold ecological integrity. • First attempt to cross-validate herders’ traditional ecological knowledge with ecological assessments of pasture condition in Mongolia • Partial congruence between the two approaches • Large variance among herders' assessments pointing to limited knowledge transfer between herders • We recommend capacity building on pasture assessment to assist local herders

Biological ConservationVol. 313
Mongolian Academy of Sciences (MN), Mongolian University of Life Sciences (MN), German Centre for Integrative Biodiversity Research (DE), Senckenberg Biodiversity and Climate Research Centre (DE), Institute for Social-Ecological Research (DE), Senckenberg Museum für Naturkunde Görlitz (DE), International University Institute (IHI) Zittau (DE), Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences (DE), National University of Mongolia (MN), Technische Universität Dresden (DE), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 58%
Rangeland Management and Livestock Ecology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.