Version 1
: Received: 15 May 2024 / Approved: 15 May 2024 / Online: 15 May 2024 (13:41:00 CEST)
How to cite:
Zhang, X.; Arellano, B.; Roca, J. Study on Factors Influencing Forest Distribution in Barcelona Metropolitan Region. Preprints2024, 2024051049. https://doi.org/10.20944/preprints202405.1049.v1
Zhang, X.; Arellano, B.; Roca, J. Study on Factors Influencing Forest Distribution in Barcelona Metropolitan Region. Preprints 2024, 2024051049. https://doi.org/10.20944/preprints202405.1049.v1
Zhang, X.; Arellano, B.; Roca, J. Study on Factors Influencing Forest Distribution in Barcelona Metropolitan Region. Preprints2024, 2024051049. https://doi.org/10.20944/preprints202405.1049.v1
APA Style
Zhang, X., Arellano, B., & Roca, J. (2024). Study on Factors Influencing Forest Distribution in Barcelona Metropolitan Region. Preprints. https://doi.org/10.20944/preprints202405.1049.v1
Chicago/Turabian Style
Zhang, X., Blanca Arellano and Josep Roca. 2024 "Study on Factors Influencing Forest Distribution in Barcelona Metropolitan Region" Preprints. https://doi.org/10.20944/preprints202405.1049.v1
Abstract
As a precious natural resource, forests are being destroyed. In previous studies, there is a lack of interactive assessment of its distribution that comprehensively considers multiple external disturbances. This paper takes the Barcelona Metropolitan Region as an example. Based on remote sensing, it analyzes the development process of the forest from 2006 to 2018 through multiple landscape indicators, and OLS models were established to analyze variables that have direct and indirect effects on forest distribution. In addition, the ecological structure of the forest was analyzed based on NDVI. It was found that the forest area is the largest but has been decreasing, becoming more complex in distribution structure. Much of the forest was converted to agricultural land and grassland. The green quality of forests was increasing, and the broad-leaved forest, the second largest area, contributes the most. NDVI is the most important positively correlated variable, and daytime surface temperature is an important inverse factor related to NDVI. In addition, NDBI is also a negative condition that inhibits forest development. In conclusion: The BMR forest area is decreasing and becoming more fragmented. NDVI and daytime LST are the two most significant factors. Climate warming may lead to worse forest development.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
