Distribution changes of woody plants in Western Iran as monitored by remote sensing and geographical information system: a case study of Zagros forest
Journal of Forestry Research, ISSN: 1993-0607, Vol: 28, Issue: 1, Page: 145-153
2017
- 13Citations
- 17Captures
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
The status of woody plants in dry-land systems is a fundamental determinant of key ecosystem processes. Monitoring of this status plays an important role in understanding the dynamics of woody plants in arid and semi-arid ecosystems. The present study determined the dynamism of the Zagros forests in Iran using Remote Sensing and Geographic Information System techniques and statistical science. The results show that the density of trees varied from 10 to 53 % according to the physiographic and climatic conditions of semi-arid regions. The best and lowest correlation between vegetation indices and forest density were obtained for the global environmental monitoring index (GEMI; R = 0.94) and soil adjust vegetation index (R = 0.81), respectively. GEMI is used to monitor land use changes over a 10-year period. Results show that 2720 ha of forest have been destroyed by human interference and tillage on steep slopes during this period which also resulted in the loss of the fertile soil layer. GEMI determined the areas with a biomass of trees and could normally separate border regions with low biomass density of trees from regions without canopy cover. The results revealed that assessment of forest and vegetation cover in arid and semi-arid arduous forest regions using satellite digital numbers and ordinary sampling is subject to uncertainty. A stratified grouping procedure should be established to increase the accuracy of assessment.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84976324407&origin=inward; http://dx.doi.org/10.1007/s11676-016-0295-1; http://link.springer.com/10.1007/s11676-016-0295-1; http://link.springer.com/content/pdf/10.1007/s11676-016-0295-1; http://link.springer.com/content/pdf/10.1007/s11676-016-0295-1.pdf; http://link.springer.com/article/10.1007/s11676-016-0295-1/fulltext.html; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=5923882&internal_id=5923882&from=elsevier; https://dx.doi.org/10.1007/s11676-016-0295-1; https://link.springer.com/article/10.1007/s11676-016-0295-1
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know