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Measurements meet human observations : integrating distinctive ways of knowing in the Pamir Mountains of Tajikistan to assess local climate change

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005854
URN to cite this document: urn:nbn:de:bvb:703-epub-5854-9

Title data

Haag, Isabell ; Kassam, Karim-Aly ; Senftl, Thomas ; Zandler, Harald ; Samimi, Cyrus:
Measurements meet human observations : integrating distinctive ways of knowing in the Pamir Mountains of Tajikistan to assess local climate change.
In: Climatic Change. Vol. 165 (2021) Issue 1/2 . - No. 5.
ISSN 1573-1480
DOI der Verlagsversion: https://doi.org/10.1007/s10584-021-02988-3

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Project information

Project title:
Project's official titleProject's id
Ecological Calendars and Climate Adaptation in the Pamirs, ECCAPSA 775/12-1

Project financing: Deutsche Forschungsgemeinschaft

Abstract

In mountain environments dimensions of climate change are unclear because of limited availability of meteorological stations. However, there is a necessity to assess the scope of local climate change, as the livelihood and food systems of subsistence-based communities are already getting impacted. To provide more clarity about local climate trends in the Pamir Mountains of Tajikistan, this study integrates measured climate data with community observations in the villages of Savnob and Roshorv. Taking a transdisciplinary approach, both knowledge systems were considered as equally pertinent and mutually informed the research process. Statistical trends of temperature and snow cover were retrieved using downscaled ERA5 temperature data and the snow cover product MOD10A1. Local knowledge was gathered through community workshops and structured interviews and analysed using a consensus index. Results showed, that local communities perceived increasing temperatures in autumn and winter and decreasing amounts of snow and rain. Instrumental data records indicated an increase in summer temperatures and a shortening of the snow season in Savnob. As both knowledge systems entail their own strengths and limitations, an integrative assessment can broaden the understanding of local climate trends by (i) reducing existing uncertainties, (ii) providing new information, and (iii) introducing unforeseen perspectives. The presented study represents a time-efficient and global applicable approach for assessing local dimensions of climate change in data-deficient regions.

Further data

Item Type: Article in a journal
Keywords: Climate change; Pamir Mountains; Local knowledge; Perception; Climate data; Statistical downscaling
DDC Subjects: 500 Science > 500 Natural sciences
900 History and geography
900 History and geography > 910 Geography, travel
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Climatology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Climatology > Professor Climatology - Univ.-Prof. Dr. Cyrus Samimi
Profile Fields > Advanced Fields > Ecology and the Environmental Sciences
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Research Centres
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-5854-9
Date Deposited: 22 Oct 2021 09:00
Last Modified: 22 Oct 2021 09:00
URI: https://epub.uni-bayreuth.de/id/eprint/5854

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