Special Column:Celebration of the 70th Anniversary of IGSNRR, CAS

Exploration of the Causes for Forest Area Changes in Jiangxi Province

Expand
  • 1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received date: 2010-04-16

  Revised date: 2010-10-27

  Online published: 2011-02-20

Abstract

Changes of forest area in Jiangxi Province is considered to be one of the major threats to wood security and ecosystem services at regional extent. However, knowledge about the explanation of forest area changes is far from completeness. Therefore, this research integrates natural environmental information with socio-economic processes and policy changes to build the econometric model to explore the driving mechanism for forest area changes from 1988 to 2005. Tobit regression analysis was used to measure socio-economic and natural factors. The estimation results show that the influencing factors for forest area include population, per capita GDP and location factors on forest area changes. The research finds that one possible way to promote the reforestation is to improve the economic development level, particularly to quicken the pace of infrastructure construction, of less developed areas in Jiangxi Province. And promoting transfer of rural surplus labor of Jiangxi Province may also be beneficial to relieve stresses of deforestation for farmland reclamation. The research results could provide decision making information support for land use planning as well as forest protection.

Cite this article

ZHAN Jin-yan, SHI Na-na, YAN Han-ming, LIN Ying-zhi . Exploration of the Causes for Forest Area Changes in Jiangxi Province[J]. JOURNAL OF NATURAL RESOURCES, 2011 , 26(2) : 335 -343 . DOI: 10.11849/zrzyxb.2011.02.017

References

[1] Food and Agriculture Organization. Forest resources assessment, tropical countries, forestry . FAO, Rome, 1992. [2] Food and Agriculture Organization. State of the world’s forests . FAO, Rome, 1997. [3] Mertens B, Sunderlin W D, Ndoye O, et al. Impact of macroeconomic change on deforestation in South Cameroon: Integration of household survey and remotely-sensed data [J]. World Development, 2000, 28(6):983-999. [4] Scrieciu S S. Can economic causes of tropical deforestation be identified at a global level? [J] Ecological Economics, 2007, 62: 603-612. [5] Lorena R B, Lambin E F. The spatial dynamics of deforestation and agent use in the Amazon [J]. Applied Geography, 2009, 29: 171-181. [6] Bhattarai M, Hammig M. Institutions and the Environmental Kuznets Curve for deforestation: A cross-country analysis for Latin America, Africa and Asia [J]. World Development, 2001, 29(6):995-1010. [7] Culas R J. Deforestation and the environmental Kuznets curve: An institutional perspective [J]. Ecological Modelling, 2007, 61: 429-437. [8] Foster A D, Rosenzweig M R. Economic growth and the rise of forests [J]. Quarterly Journal of Economics, 2003, 118(2): 601-637. [9] 孙玉军. 资源环境监测与评价[M]. 北京:高等教育出版社, 2007. [10] 邹秀萍, 齐清文, 姜莉莉, 等. 怒江流域林地景观演变过程及其驱动力研究[J]. 地理科学进展, 2006, 25(5):41-47. [11] Zwane A P. Does poverty constrain deforestation? Econometric evidence from Peru [J]. Journal of Development Economics, 2007, 84(1):330-349. [12] Sierra R. The role of domestic timber markets in tropical deforestation and forest degradation in Ecuador: Implications for conservation planning and policy [J]. Ecological Economics, 2001, 36(2):327-340. [13] Schmook B, Vance C. Agricultural policy, market barriers, and deforestation: The case of Mexico’s southern Yucatán [J]. World Development, 2009, 37(5): 1015-1025. [14] Mahapatr K, Kant S. Tropical deforestation: A multinomial logistic model and some country-specific policy prescriptions [J]. Forest Policy and Economics, 2005, 7(1):1-24. [15] Oliveira J A P. Property rights, land conflicts and deforestation in the Eastern Amazon [J]. Forest Policy and Economics, 2008, 10 (5): 303-315. [16] Lemenih M, Karltun E, Olsson M. Assessing soil chemical and physical property responses to deforestation and subsequent cultivation in small holders farming system in Ethiopia [J]. Agriculture, Ecosystems & Environment, 2005, 105(1/2):373-386. [17] 王敬贵, 苏奋振, 周成虎, 等. 区位和管理政策对海岸带土地利用变化的影响——以昌黎黄金海岸地区为例[J]. 地理研究, 2005, 24(4):520-527. [18] Agarwal D K, Silander J A, Gelfand A E, et al. Tropical deforestation in Madagascar: Analysis using hierarchical, spatially explicit, Bayesian regression models [J]. Ecological Modelling, 2005, 185(1):105-131. [19] 邓祥征, 刘纪远, 战金艳, 等. 太仆寺旗土地利用变化时空格局的动态模拟[J]. 地理研究, 2004, 23(2):147-156. [20] 张国平, 刘纪远, 张增祥. 基于遥感和GIS的中国20世纪90年代毁林开荒状况分析[J]. 地理研究, 2003, 22(2):221-226. [21] Scrieciu S S. Can economic causes of tropical deforestation be identified at a global level? [J] Ecological Economics, 2007, 62: 603-612. [22] 刘纪远, 张增祥, 庄大方, 等. 20世纪90年代中国土地利用变化时空特征及其成因分析[J]. 地理研究, 2003, 22(1):1-12. [23] Deng X Z, Jiang Q O, Su H B, et al. Trace forest conversions in Northeast China with a 1-km area percentage data model [J]. Journal of Applied Remote Sensing, 2010, 4, 041893:1-13. [24] 邓祥征. 土地系统动态模拟[M]. 北京:中国大地出版社, 2008. [25] 封志明, 杨艳昭, 丁晓强, 等. 气象要素空间插值方法优化[J]. 地理研究, 2004, 23(3):357-364. [26] 邓祥征. 土地用途转换分析[M]. 北京:中国大地出版社, 2008. [27] Anselin L. Spatial effects in econometric practice in environmental and resource economics [J]. American Journal of Agricultural Economics, 2001, 83(3):705-710. [28] McDonald J. Using least squares and Tobit in second stage DEA efficiency analyses [J]. European Journal of Operational Research, 2009, 197(2):792-798. [29] WANG Lan. A simple nonparametric test for diagnosing nonlinearity in Tobit median regression model [J]. Statistics & Probability Letters, 2007, 77(10):1034-1042.
Outlines

/