Einzeltreffer — DigiBib

Vegetation dynamics is an important aspect for determining climate change trends. The present study delineates to examine spatiotemporal changes of vegetation cover in Pindari valley (Kumaun Himalaya) from the 1972 to 2018 timeline. The study includes the calculation of vegetation spectral indices of normalized vegetation index (NDVI), extraction of different vegetation classes, and statistical analysis of the Mann-Kendall (MK) test on historical metrological data (especially precipitation and temperature) of the study site. For the statistical analysis of metrological data, the power data access viewer datasets have been used. The central feature classes of the study are grassland, scrubland, and forest cover. The results revealed that the region's forest cover significantly decreased by 24.74 sq. km from 1972 to 2018, increased in grassland cover by 17.84 sq. km, respectively, and a slight increase in scrubland class by 3.13 sq. km for the study period. The calculated NDVI shows significant changes over the study location; it has been noticed that the maximum values of the NDVI decreased by 0.24, and the minimum values show growth of about 0.047. The analysis indicates that climatic parameters such as precipitation and temperature are the main limiting factors affecting vegetation growth. The annual mean maximum temperature showed a decreasing trend. The estimated results show an increase in annual rainfall and annual minimum temperature, while the decreasing trend is observed in the case of maximum annual temperature. Objectives of the study are (1) spatiotemporal analysis of the vegetation cover, (2) identification of the main causes of change in the vegetation cover, and (3) statistical trend analysis of long-term metrological data. The outcome of the presented research work would be beneficial for the proper management and monitoring of the forest ecosystem.

Titel:	Impact of climate on vegetation in Pindari watershed of Western Himalayas, Kumaun, India, using spatiotemporal analysis: 1972-2018.
Autor/in / Beteiligte Person:	Pandey, A ; Parashar, D ; Bhatt, NC ; Palni, S ; Pundir, C ; Yadav, AS ; Singh, AP ; Bhatt, PK
Link:	Full Text Finder (Volltext)
Zeitschrift:	Environmental science and pollution research international, Jg. 29 (2022-12-01), Heft 57, S. 86362-86373
Veröffentlichung:	<2013->: Berlin : Springer ; <i>Original Publication</i>: Landsberg, Germany : Ecomed, 2022
Medientyp:	academicJournal
ISSN:	1614-7499 (electronic)
DOI:	10.1007/s11356-022-19711-z
Schlagwort:	Temperature Forests India China Ecosystem Climate Change
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [Environ Sci Pollut Res Int] 2022 Dec; Vol. 29 (57), pp. 86362-86373. <i>Date of Electronic Publication: </i>2022 Mar 22. MeSH Terms: Ecosystem* ; Climate Change* ; Temperature ; Forests ; India ; China References: OS Babalola AA Akinsanola 2016 Change detection in land surface temperature and land use land cover over Lagos Metropolis Nigeria J Remote Sens GIS 5 3 10 4172. ; XW Chuai XJ Huang WJ Wang G Bao 2013 NDVI, temperature and precipitation changes and their relationships with different vegetation types during 1998–2007 in Inner Mongolia China Int J Climatol 33 7 1696 1706. (PMID: 10.1002/joc.3543) ; L Cui J Shi 2010 Temporal and spatial response of vegetation NDVI to temperature and precipitation in eastern China J Geog Sci 20 2 163 176. (PMID: 10.1007/s11442-010-0163-4) ; RS Defries JRG Townshend 1994 NDVI-derived land cover classifications at a global scale Int J Remote Sens 15 17 3567 3586. (PMID: 10.1080/01431169408954345) ; C Delire N Noblet-Ducoudré de A Sima I Gouirand 2011 Vegetation dynamics enhancing long-term climate variability confirmed by two models J Clim 24 9 2238 2257. (PMID: 10.1175/2010JCLI3664.1) ; M Derrien B Farki H Legleau A Sairouni 1992 Vegetation cover mapping over France using NOAA-11/AVHRR Int J Remote Sens 13 9 1787 1795. (PMID: 10.1080/01431169208904228) ; TD Gebru 2016 Deforestation in Ethiopia: causes, impacts and remedy Int J Energy Dev Res 4 204 209. ; G Fekadu 2015 Forest loss and climate change in Ethiopia Res J Agric Environ Manag 4 5 216 224. ; SN Hailemariam T Soromessa D Teketay 2016 Land use and land cover change in the Bale Mountain Eco-Region of Ethiopia during 1985 to 2015 Land 5 4 41. (PMID: 10.3390/land5040041) ; Kendall, M.G., 1948. Rank correlation methods. ; A Kumar M Kumar 2020 Estimation of biomass and soil carbon stock in the hydroelectric catchment of India and its implementation to climate change J Sustain Forestry 1 16. ; L Bengang T Shu 2000 Correlation between AVHRR NDVI and climate factors Acta Ecol Sin 20 5 898 902. ; H Liu L Zheng S Yin 2018 Multi-perspective analysis of vegetation cover changes and driving factors of long time series based on climate and terrain data in Hanjiang River Basin China Arabian J Geosci 11 17 1 16. ; Liu, S.Z., Zhou, L., Qiu, C.S., Zhang, J.P., Fang, Y.P. and Gao, W.S 1999 Studies on grassland degradation and desertification of Naqu Prefecture in Tibet autonomous region Tibet People’s Press Lasha)[In Chinese]. ; HB Mann 1945 Nonparametric tests against trend.Econometrica J Econ Soc 245 259. ; SM Melese 2016 Effect of land use land cover changes on the forest resources of Ethiopia Int J Natural Res Ecol Manag 1 2 51. ; Nduati, E.W., Murimi, N.M. and Mundia, C.N., 2013. Effects of vegetation change and land use/land cover change on land surface temperature in the mara ecosystem. ; SE Nicholson ML Davenport AR Malo 1990 A comparison of the vegetation response to rainfall in the Sahel and East Africa, using normalized difference vegetation index from NOAA AVHRR Clim Change 17 2 209 241. (PMID: 10.1007/BF00138369) ; A Pandey MS Sarkar M Kumar G Singh S Lingwal JS Rawat 2018 Retreat of Pindari glacier and detection of snout position using remote sensing technology Remote Sens Appl Soc Environ 11 64 69. ; A Pandey G Singh S Palni N Chandra JS Rawat AP Singh 2021 Application of remote sensing in alpine grasslands cover mapping of western Himalaya, Uttarakhand India Environ Monit Assess 193 4 1 14 https://doi.org/10.1007/s10661-021-08956-9. (PMID: 10.1007/s10661-021-08956-9) ; S Piao G Yin J Tan L Cheng M Huang Y Li R Liu J Mao RB Myneni S Peng B Poulter 2015 Detection and attribution of vegetation greening trend in China over the last 30 years Glob Chang Biol 21 4 1601 1609. (PMID: 10.1111/gcb.12795) ; H Puppala AP Singh 2021 Analysis of urban heat island effect in Visakhapatnam, India, using multi-temporal satellite imagery: causes and possible remedies Environ Dev Sustain 1 19 https://doi.org/10.1007/s10668-020-01122-0. ; TS Purevdorj R Tateishi T Ishiyama Y Honda 1998 Relationships between percent vegetation cover and vegetation indices Int J Remote Sens 19 18 3519 3535. (PMID: 10.1080/014311698213795) ; MT Schnur H Xie X Wang 2010 Estimating root zone soil moisture at distant sites using MODIS NDVI and EVI in a semi-arid region of southwestern USA Eco Inform 5 5 400 409. (PMID: 10.1016/j.ecoinf.2010.05.001) ; S Soni 2017 Evaluation of land use land cover change with changing climatic parameters of a watershed of Madhya Pradesh India Trop Plant Res 4 1 115 125. (PMID: 10.22271/tpr.2017.v4.i1.018) ; JL Weiss DS Gutzler JEA Coonrod CN Dahm 2004 Long-term vegetation monitoring with NDVI in a diverse semi-arid setting, central New Mexico, USA J Arid Environ 58 2 249 272. (PMID: 10.1016/j.jaridenv.2003.07.001) ; Yaseen M., Bhatti H. A., Rientjes T., Nabi G., and Latif M., 2013. Temporal and spatial variations in summer flows of upper Indus Basin, Pakistan,” in Proceedings of the 72ndAnnual Session of Pakistan Engineering Congress Paper no 747 315 334. ; YD Zhang YT Xu FX Gu XL Pan 2003 Correlation analysis of NDVI with climate and hydrological factors in oasis and desert Chinese J Plant Ecol 27 6 816. (PMID: 10.17521/cjpe.2003.0117) Contributed Indexing: Keywords: Landsat; Normalized vegetation index; Power data access viewer; Remote sensing; Statistical analysis; Vegetation cover Entry Date(s): Date Created: 20220322 Date Completed: 20221121 Latest Revision: 20221121 Update Code: 20231215

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

BibTeX Citavi, JabRef, u.a.
(Literaturverwaltung)

PDF kein Volltext!
(Merkzettel, Notizen)

RIS Endnote, Citavi u.a.
(Literaturverwaltung)

MODS
(XML zur Weiterverarbeitung)

oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

Gewünschter Zitations-Stil:

oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

Impact of climate on vegetation in Pindari watershed of Western Himalayas, Kumaun, India, using spatiotemporal analysis: 1972-2018.