Changes of forestland in China's coastal areas (1996-2015): Regional variations and driving forces

• Zhang, Xiaoxiang ^[1] ; Yao, Jing ^[2] ; Wang, Jing ^[3] ; Sila-Nowicka, Katarzyna ^[4]
  1. [1] Hohai University

     Hohai University

     China

     
  2. [2] University of Glasgow

     University of Glasgow

     Reino Unido

     
  3. [3] Wuhan University

     Wuhan University

     China

     
  4. [4] University of Auckland

     University of Auckland

     Nueva Zelanda

     

  Mostrar afiliaciones +
• Localización: Land use policy: The International Journal Covering All Aspects of Land Use, ISSN 0264-8377, ISSN-e 1873-5754, Nº. 99, 2020
• Idioma: inglés
• DOI: 10.1016/j.landusepol.2020.105018
• Texto completo no disponible (Saber más ...)
• Resumen

  • Coastal forests play a critical role in the defence of natural disasters like typhoons and tsunamis. The deforestation and forest degradation due to rapid urbanization has presented great challenges (e.g. debris flows and floods) to China’s coastal areas. Using a unique national land-use survey dataset and geographical information system (GIS)-based spatial analytics, including local Moran’s I and geographically weighted regression (GWR), this paper investigates the regional variations and associated driving forces of forestland changes in China’s coastal areas across three periods: 1996−2000, 2000–2008 and 2009–2015. The results suggest that the forestland has generally increased until 2008 and has decreased since 2009. Particularly, some counties in the south coast have higher degree of forestland loss during 1996–2008 and the growth of forestland after 2009 was only found in a few counties in the north and east coast. Also, the results indicate that the initial proportion of forestland in each period and the changes of arable-land have significant positive associations with the forestland changes across all the three periods, where the former mainly affects the northern coast while the latter has a primary influence in the southern coast. The findings suggest that government policies for increasing forestland such as the “Grain for Green” project were highly effective in China’s coastal areas before 2008 but have shown less impact ever since. This research provides insights into the dynamics of forestland in China’s coastal areas and can assist with future decision-making regarding forest resources protection and management.

• Referencias bibliográficas
  • J. Alix-Garcia, C. Munteanu, N. Zhao, P.V. Potapov, A.V. Prishchepov, V.C. Radeloff, E. Bragina Drivers of forest cover change in Eastern...
  • L. Anselin Local indicators of spatial association—LISA Geogr. Anal., 27 (2) (1995), pp. 93-115
  • L. Anselin, S.J. Rey Modern spatial econometrics in practice: a guide to GeoDa, GeoDaSpace and PySAL GeoDa Press LLC. (2014)
  • J.S. Brandt, T. Kuemmerle, H. Li, G. Ren, J. Zhu, V.C. Radeloff Using landsat imagery to map forest change in southwest China in response...
  • C. Brunsdon, A.S. Fotheringham, M.E. Charlton Geographically weighted regression: a method for exploring spatial nonstationarity ...
  • G. Byrne, M. Charlton, A.S. Fotheringham Multiple Dependent Hypothesis Tests in Geographically Weighted Regression. Paper Presented...
  • F. Clement, D. Orange, M. Williams, C. Mulley, M. Epprecht Drivers of afforestation in Northern Vietnam: assessing local variations...
  • Z. Feng, Y. Yang, Y. Zhang, P. Zhang, Y. Li Grain-for-green policy and its impacts on grain supply in West China Land Use Policy.,...
  • A.S. Fotheringham, C. Brunsdon, M. Charlton Geographically Weighted Regression: The Analysis of Spatially Varying Relationships ...
  • A.S. Fotheringham, R. Crespo, J. Yao Exploring, modelling and predicting spatiotemporal variations in house prices Ann. Regional....
  • I. Gollini, B. Lu, M. Charlton, C. Brunsdon, P. Harris GWmodel: an R Package for Exploring Spatial Heterogeneity using Geographically...
  • N.B.P. Jaimes, J.B. Sendra, M.G. Delgado, R.F. Plata Exploring the driving forces behind deforestation in the state of Mexico (Mexico)...
  • T. Lin, X. Xue, L. Shi, L. Gao Urban spatial expansion and its impacts on island ecosystem services and landscape pattern: a case...
  • B. Lu, P. Harris, M. Charlton, C. Brunsdon The GWmodel R package: further topics for exploring spatial heterogeneity using geographically...
  • W. Liu, X. Wei, H. Fan, X. Guo, Y. Liu, M. Zhang, Q. Li Response of flow regimes to deforestation and reforestation in a rain‐dominated...
  • J.F. Mas, G. Cuevas Identifying local deforestation patterns using geographically weighted regression models C. Grueau, J. Gustavo...
  • Ministry of Land and Resources China Land and Resources Statistical Yearbook (2000-2013). Geological Publishing House, Beijing, China ...
  • National Bureau of Statistics of China (NBSC) China Statistical Yearbook 2006 China Statistics Press, Beijing, China (2006) ...
  • National Bureau of Statistics of China (NBSC) China Statistical Yearbook 2009 China Statistics Press, Beijing, China (2009) ...
  • National Bureau of Statistics of China (NBSC) China Statistical Yearbook 2016 China Statistics Press, Beijing, China (2016) ...
  • D. Ren The devastating zhouqu storm-triggered debris flow of August 2010: likely causes and possible trends in a future warming climate ...
  • Z. Shirvani, O. Abdi, M.F. Buchroithner, B. Pradhan Analysing spatial and statistical dependencies of deforestation affected by residential...
  • W. Song, B.C. Pijanowski The effects of China’s cultivated land balance program on potential land productivity at a national scale ...
  • J. Wang, Y. Chen, X. Shao, Y. Zhang, Y. Cao Land-use changes and policy dimension driving forces in China: present, trend and future ...
  • S.L. Wang, X.R. Xu, Y.X. Sun, J.L. Liu, H.B. Li Heavy metal pollution in coastal areas of South China: a review Mar. Pollut. Bull.,...
  • J. Wang, T. He, Y. Lin Changes in ecological, agricultural, and urban land space in 1984–2012 in China: Land policies and regional...
  • J. Wang, Y. Lin, T. Zhai, T. He, Y. Qi, Z. Jin, Y. Cai The role of human activity in decreasing ecologically sound land use in China ...
  • M.C. Wimberly, J.L. Ohmann A multi-scale assessment of human and environmental constraints on forest land cover change on the Oregon...
  • F. Wu, J. Xu, A.G.O. Yeh Urban Development in Post-Reform China: State, Market, and Space London and New York, Taylor & Francis ...
  • Xinhua News Agency Hebei: The Area of Afforestation Was Increased by 380,000 Mu after the Reform of Collective Forest Property ...
  • J. Yao, A. Stewart Fotheringham Local spatiotemporal modeling of house prices: a mixed model approach Prof. Geogr., 68 (2) (2016),...
  • Y. Zhang, J. Li, Q. Qin Identification of factors influencing locations of tree cover loss and gain and their spatio-temporally-variant...