Serguei Ponomarenko

TL;DR: EcoVeg as mentioned in this paper is a vegetation classification approach that can describe the diversity of terrestrial ecosystems and their transformations over large time frames, span the full range of spatial and geographic scales across the globe, and provide knowledge of reference conditions and current states of ecosystems required to make decisions about conservation and resource management.

TL;DR: In this paper, the authors mapped climate change impacts on permafrost from 1968 to 2100 at 10 m resolution using a process-based model for Ivvavik National Park, an Arctic region with complex terrain in northern Yukon, Canada.

TL;DR: The elegance of classification lies in its ability to compile and systematize various terminological conventions and masses of information that are unattainable during typical research projects as mentioned in this paper, which describes much of 20th-century vegetation ecology.

TL;DR: In this article, the rapid warming of Arctic climate is driving complex ecological changes in Arctic terrestrial ecosystems that are not well understood, and these ecological changes have important implications for norther...

TL;DR: This paper presents a new image-based predictive ecosystem mapping (I-PEM) method that integrates remote sensing-based vegetation mapping with predictive terrain attributes from a digital elevation model and indicates that a 28-class ecosystem map derived from air-photo interpretation can be reproduced using the method with 85% or greater accuracy.