Suche nach Personen

plus im Publikationsserver
plus bei Google Scholar

Bibliografische Daten exportieren
 

Reanalysis datasets outperform other gridded climate products in vegetation change analysis in peripheral conservation areas of Central Asia

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005345
URN zum Zitieren der Version auf EPub Bayreuth: urn:nbn:de:bvb:703-epub-5345-3

Titelangaben

Zandler, Harald ; Senftl, Thomas ; Vanselow, Kim A.:
Reanalysis datasets outperform other gridded climate products in vegetation change analysis in peripheral conservation areas of Central Asia.
In: Scientific Reports. Bd. 10 (31 Dezember 2020) . - No. 22446.
ISSN 2045-2322
DOI der Verlagsversion: https://doi.org/10.1038/s41598-020-79480-y

Volltext

[thumbnail of s41598-020-79480-y.pdf]
Format: PDF
Name: s41598-020-79480-y.pdf
Version: Veröffentlichte Version
Verfügbar mit der Lizenz Creative Commons BY 4.0: Namensnennung
Download (5MB)

Angaben zu Projekten

Projekttitel:
Offizieller Projekttitel
Projekt-ID
Open Access Publizieren
Ohne Angabe

Projektfinanzierung: UNDP GEF grant AA/Pj/PIMS: 00076820/0088001/5038
Fondation Segré grant "Transboundary Conservation of Mountain Monarchs in Afghanistan and Pakistan”

Abstract

Global environmental research requires long-term climate data. Yet, meteorological infrastructure is missing in the vast majority of the world’s protected areas. Therefore, gridded products are frequently used as the only available climate data source in peripheral regions. However, associated evaluations are commonly biased towards well observed areas and consequently, station-based datasets. As evaluations on vegetation monitoring abilities are lacking for regions with poor data availability, we analyzed the potential of several state-of-the-art climate datasets (CHIRPS, CRU, ERA5-Land, GPCC-Monitoring-Product, IMERG-GPM, MERRA-2, MODIS-MOD10A1) for assessing NDVI anomalies (MODIS-MOD13Q1) in two particularly suitable remote conservation areas. We calculated anomalies of 156 climate variables and seasonal periods during 2001–2018, correlated these with vegetation anomalies while taking the multiple comparison problem into consideration, and computed their spatial performance to derive suitable parameters. Our results showed that four datasets (MERRA-2, ERA5-Land, MOD10A1, CRU) were suitable for vegetation analysis in both regions, by showing significant correlations controlled at a false discovery rate < 5% and in more than half of the analyzed areas. Cross-validated variable selection and importance assessment based on the Boruta algorithm indicated high importance of the reanalysis datasets ERA5-Land and MERRA-2 in both areas but higher differences and variability between the regions with all other products. CHIRPS, GPCC and the bias-corrected version of MERRA-2 were unsuitable and not important in both regions. We provide evidence that reanalysis datasets are most suitable for spatiotemporally consistent environmental analysis whereas gauge- or satellite-based products and their combinations are highly variable and may not be applicable in peripheral areas.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Keywords: Climate sciences; Ecology; Environmental sciences
Themengebiete aus DDC: 500 Naturwissenschaften und Mathematik > 500 Naturwissenschaften
500 Naturwissenschaften und Mathematik > 550 Geowissenschaften, Geologie
500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie
900 Geschichte und Geografie > 910 Geografie, Reisen
Institutionen der Universität: Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften > Professur Klimatologie
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften > Professur Klimatologie > Professur Klimatologie - Univ.-Prof. Dr. Cyrus Samimi
Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Bayreuther Zentrum für Ökologie und Umweltforschung - BayCEER
Fakultäten
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften
Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Geowissenschaften
Forschungseinrichtungen
Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen
Sprache: Englisch
Titel an der UBT entstanden: Ja
URN: urn:nbn:de:bvb:703-epub-5345-3
Eingestellt am: 19 Mrz 2021 09:43
Letzte Änderung: 09 Okt 2023 10:51
URI: https://epub.uni-bayreuth.de/id/eprint/5345

Downloads

Downloads pro Monat im letzten Jahr