Ecosystem classification and mapping: A proposal for Italian landscapes
Applied Vegetation Science, ISSN: 1402-2001, Vol: 3, Issue: 2, Page: 233-242
2000
- 133Citations
- 73Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This paper deals with the development of a hierarchical land classification for describing and mapping landscapes at different scales. After a brief overview of the theoretical background, an integrative framework is proposed which incorporates different hierarchical levels from plant sociology as diagnostic attributes. The feasibility of this proposal has been tested in different sample landscapes in central Italy. This system has a potential for applications to Italian landscapes from national to local scales, because it is based on solid theory and on information which is generally available in Italy.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know