Rural population mobility, deforestation, and urbanization: case of Turkey
- 1. Çankırı Karatekin University, Department of Forest Engineering, Faculty of Forestry (Turkey)
Description
The benefits of the forests are well known and are by their existence alone an amenity. Nonetheless, urbanization as one of the most remarkable features of social development has immense effects on forest resources and land use. In this study, it is hypothesized that there are temporal interactions among the rural population dynamics, urbanization, and forest resources. Data set is based on rural population, total population, and forest areas for the period of 1990–2017. Regression analysis (the ordinary least square, OLS) and dummy variable in regression were used by taking the years into consideration. The coefficient of total population in the regression model developed in our study was positive, which means with the increasing total population, there is an increase in forest areas as well, contrary to common opinion in the literature. With this study, a positive/linear temporal relation between the forest area and urbanization via the regression statistics was determined. There is a significant inverse relation between rural population decline and forest area increase too. Our results provide also a compelling evidence that rural population mobility, afforestation, and forestry policy have strong effects and play an important role over the forest management and forest policy in Turkey.
Additional details
Identifiers
Publishing Information
- Journal Title
- Environmental Monitoring and Assessment
- Journal Volume
- 191
- Journal Issue
- 1
- Journal Page Range
- p. 1-12
- ISSN
- 0167-6369
- CODEN
- EMASDH
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52006295
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- ANTHROPOLOGY; DEFORESTATION; ENVIRONMENTAL POLICY; FORESTRY; FORESTS; LAND USE; LEAST SQUARE FIT; POPULATION DYNAMICS; REGRESSION ANALYSIS; RURAL POPULATIONS; TURKEY; URBAN AREAS; URBAN POPULATIONS
- Descriptors DEC
- ASIA; DEVELOPING COUNTRIES; GOVERNMENT POLICIES; HUMAN POPULATIONS; MATHEMATICAL SOLUTIONS; MATHEMATICS; MAXIMUM-LIKELIHOOD FIT; MIDDLE EAST; NUMERICAL SOLUTION; POPULATIONS; STATISTICS
Optional Information
- Copyright
- Copyright (c) 2019 Springer Nature Switzerland AG