Modelling of Vegetation Dynamics from Satellite Time Series to Determine Proglacial Primary Succession in the Course of Global Warming-A Case Study in the Upper Martell Valley (Eastern Italian Alps)

被引：9

作者：

Knoflach, Bettina ^{[1
]}

Ramskogler, Katharina ^{[2
]}

Talluto, Matthew ^{[3
]}

Hofmeister, Florentin ^{[4
]}

Haas, Florian ^{[5
]}

Heckmann, Tobias ^{[5
]}

Pfeiffer, Madlene ^{[6
]}

Piermattei, Livia ^{[7
]}

Ressl, Camillo ^{[8
]}

Wimmer, Michael H. ^{[8
]}

Geitner, Clemens ^{[1
]}

Erschbamer, Brigitta ^{[2
]}

Stoetter, Johann ^{[1
]}

机构：

[1] Univ Innsbruck, Dept Geog, A-6020 Innsbruck, Austria

[2] Univ Innsbruck, Dept Bot, A-6020 Innsbruck, Austria

[3] Univ Innsbruck, Dept Ecol, A-6020 Innsbruck, Austria

[4] Tech Univ Munich, Dept Civil Geo & Environm Engn, D-80333 Munich, Germany

[5] Catholic Univ Eichstatt Ingolstadt, Dept Phys Geog, D-85072 Eichstatt, Germany

[6] Univ Bremen, Inst Geog, D-28359 Bremen, Germany

[7] Univ Oslo, Dept Geosci, N-0316 Oslo, Norway

[8] TU Wien, Dept Geodesy & Geoinformat, A-1040 Vienna, Austria

来源：

REMOTE SENSING | 2021年 / 13卷 / 21期

基金：

奥地利科学基金会;

关键词：

vegetation cover 1; NDVI; 2; glacier foreland 3; Bayesian beta regression model 4; European Alps 5; CLIMATE-CHANGE IMPACTS; GLACIER NATIONAL-PARK; SOUTH TYROL; ECOLOGICAL APPLICATIONS; DIVERSITY CHANGES; PLANT DIVERSITY; COVER CHANGE; ICE-AGE; NDVI; SOIL;

D O I：

10.3390/rs13214450

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Satellite-based long-term observations of vegetation cover development in combination with recent in-situ observations provide a basis to better understand the spatio-temporal changes of vegetation patterns, their sensitivity to climate drivers and thus climatic impact on proglacial landscape development. In this study we combined field investigations in the glacier forelands of Furkele-, Zufall- and Langenferner (Ortles-Cevedale group/Eastern Italian Alps) with four different Vegetation Indices (VI) from Landsat scenes in order to test the suitability for modelling an area-wide vegetation cover map by using a Bayesian beta regression model (RStan). Since the model with the Normalized Difference Vegetation Index (NDVI) as predictor showed the best results, it was used to calculate a vegetation cover time series (1986-2019). The alteration of the proglacial areas since the end of the Little Ice Age (LIA) was analyzed from digital elevation models based on Airborne Laser Scanning (ALS) data and areal images, orthophotos, historical maps and field mapping campaigns. Our results show that a massive glacier retreat with an area loss of 8.1 km(2) (56.9%; LIA-2019) resulted in a constant enlargement of the glacier forelands, which has a statistically significant impact on the degree of vegetation cover. The area covered by vegetation increased from 0.25 km(2) (5.6%) in 1986 to 0.90 km(2) (11.2%) in 2019 with a significant acceleration of the mean annual changing rate. As patterns of both densification processes and plant colonization at higher elevations can be reflected by the model results, we consider in-situ observations combined with NDVI time series to be powerful tools for monitoring vegetation cover changes in alpine proglacial areas.

引用

页数：24