土地利用和土地覆盖变化及其影响因素评估:以柬埔寨马德望省为例

Taingaung Sourn, Sophak Pok, Phanith Chou, Nareth Nut, Dyna Theng, Lyhour Hin
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引用次数: 0

摘要

本研究分析了1998 - 2018年柬埔寨马德望土地利用和土地覆盖(LULC)的变化,并确定了影响农业生产的因素和制约因素。利用1998年、2008年和2018年的陆地卫星图像来确定LULC的变化。综合而言,我们于2021年8月进行了一项社会调查,采用有目的抽样,根据世界银行的柬埔寨贫困评估,从柬埔寨马德望省的高地到低地,从穷人(65人)和富人(135人)两个财富阶层中选择了200人的总样本。对不同阶层的家庭特征、农场规模和限制条件进行了比较。采用R Program和RStudio进行t检验、方差分析(ANOVA)和Likert量表分析,并采用Pearson相关检验确定影响农用地的因素。结果表明,1998年至2018年间,森林覆盖率下降了79%。相比之下,农业用地扩张最高(54%)。受访者的平均家庭人数及年龄分别为5.0人/户及50.1岁。在所有受访者中,约80%的人只上过小学。富裕家庭的农场总面积(7.0公顷/户)大于贫困家庭(5.2公顷/户)。研究发现,人口增长、机械使用和基础设施改善与农业用地利用呈正相关。贫困家庭和富裕家庭面临的最大限制是相同的:化肥的使用。当时,干旱和洪水也是所有人面临的挑战。在土地、信贷和劳动力方面,它们并不是主要的制约因素。因此,从生物物理和社会的角度来看,建议跨学科利益相关者和政策框架的参与非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Land Use and Land Cover (LULC) Change and Factors Affecting Agricultural Land: Case Study in Battambang Province, Cambodia
This study analyzed land use and land cover (LULC) change from 1998 to 2018 in Battambang, Cambodia, and determined factors and constraints affecting agricultural production. Landsat satellite images in 1998, 2008, and 2018 were used to identify the changes in LULC. In combination, a social survey was conducted in August 2021 using purposive sampling, selecting a total sample of 200 from two wealth classes: the poor (65) and the better off (135) based on the Cambodia poverty assessment by the World Bank, from uplands to lowlands of Battambang Province, Cambodia. Household characteristics, farm size, and constraints were compared between the classes. T-tests, the analysis of variance (ANOVA), and Likert scale analysis were adopted using the R Program and RStudio, while Pearson's correlation test was used to determine the factors affecting agricultural land. The results show that between 1998 and 2018, the forest cover decreased by 79%. In contrast, agricultural land expansion was the highest (54%). The average household size and age of the respondents were 5.0 persons/household and 50.1 years, respectively. Of all the interviewees, about 80% attended no higher than primary school. The total farm size of the better-off (7.0 ha/household) was larger than that of the poor (5.2 ha/household). The population growth, machinery use, and improved infrastructure were found to be positive and strongly related to agricultural land use. The highest constraints of the poor and the better-off households were the same: chemical fertilizer use. Then, drought and flooding were also challenges for all. In terms of land, credit, and labor, they were not the main constraints. Thus, it is recommended that the involvement of interdisciplinary stakeholders and policy frameworks is really important from both biophysical and social perspectives.
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