The effects of large climate fluctuations on forests as a Big Data approach
Costas A. Varotsos, Vladimir F. Krapivin

TL;DR
This paper explores how large climate fluctuations significantly impact forests globally, utilizing a Big Data approach with a geo-ecological information-modeling system to analyze various reconstruction scenarios.
Contribution
It introduces a novel Big Data-based geo-ecological modeling system with 24 integrated models for analyzing climate impacts on forests.
Findings
Climate fluctuations have significant impacts on forests globally
The proposed system improves analysis of large-scale ecological data
Multiple reconstruction scenarios demonstrate the system's versatility
Abstract
In the present study it is shown that significant impacts on forests can lead to large climate fluctuations at global level. This research takes into account various scenarios for the reconstruction of forest areas using the geo-ecological information-modeling system. This tool is described as a possible improvement of the Big Data approach. Its structure includes 24 blocks that combine a series of models and algorithms for the global processing of large data and their analysis. The key block of this tool is the global model of the climate-nature-society system.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Analysis with R
