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江西丘陵山区大螟的发生特点及防治对策 被引量:2
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作者 兰红萍 吴清华 +2 位作者 吴小勇 刘剑青 邓为红 《现代农业科技》 2013年第4期140-140,142,共2页
介绍大螟的生物学特性、在丘陵山区的发生特点、发生原因,并提出综合防治对策,以为大螟的防治提供参考。
关键词 大螟 生物学特性 防治对策 江西丘陵山区
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江西丘陵山区无公害立体种养模式与技术初探 被引量:1
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作者 金卫根 《江西农业科技》 2003年第7期24-26,共3页
关键词 江西丘陵山区 无公害农业 立体种养 种养模式 农大高油115玉米 南江黄羊 鱼类 栽培技术 养殖技术 综合效益
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家庭生命周期视角下农户耕地撂荒行为差异及其影响因素——以江西省丘陵山区为例 被引量:6
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作者 谢花林 施佳颖 冷克诚 《资源科学》 CSSCI CSCD 北大核心 2023年第11期2170-2182,共13页
【目的】揭示家庭生命周期对农户耕地撂荒行为的作用机理,明晰不同家庭生命周期阶段耕地撂荒行为的差异化影响因素,以期为丘陵山区耕地撂荒分类治理提供决策参考。【方法】基于2020、2021年的江西省丘陵山区农户微观调研数据,借助Logit... 【目的】揭示家庭生命周期对农户耕地撂荒行为的作用机理,明晰不同家庭生命周期阶段耕地撂荒行为的差异化影响因素,以期为丘陵山区耕地撂荒分类治理提供决策参考。【方法】基于2020、2021年的江西省丘陵山区农户微观调研数据,借助Logit和Tobit模型探究了家庭生命周期对农户耕地撂荒决策及撂荒规模的影响,并利用中介效应模型检验劳动力非农转移在稳定期家庭对农户耕地撂荒行为的影响机制。【结果】①不同生命周期阶段的家庭耕地撂荒决策和撂荒规模存在显著差异性。相较于抚养期家庭,稳定期和空巢期家庭撂荒耕地的概率更高,稳定期、赡养期和空巢期家庭耕地撂荒规模更大。②相对于抚养期家庭,稳定期家庭可以通过劳动力非农转移的增加间接影响农户耕地撂荒规模。③不同家庭生命周期阶段耕地撂荒行为的影响因素存在异质性。【结论】应充分考虑不同家庭生命周期农户的撂荒行为特征,有针对性地提出耕地撂荒治理策略。 展开更多
关键词 耕地撂荒 家庭生命周期 农户 劳动力非农转移 中介效应 Logit模型 江西丘陵山区
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Spatio-temporal Pattern of Cropland Abandonment in Hilly and Mountainous Areas:A Case Study of Jiangxi,China
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作者 WEN Jiaming XIE Hualin 《Journal of Resources and Ecology》 CSCD 2024年第5期1311-1323,共13页
Cropland abandonment is common and widely distributed in hilly and mountainous areas.Clarifying the current situation and development of cropland abandonment can provide reference for the rational and classified manag... Cropland abandonment is common and widely distributed in hilly and mountainous areas.Clarifying the current situation and development of cropland abandonment can provide reference for the rational and classified management of cropland abandonment in hilly and mountainous areas.Taking Jiangxi Province as the study area,and using the Google Earth Engine and Landsat data,the scale and years of abandoned cropland from 2002 to 2020 were calculated by using the random forest classifier and rules for identifying cropland abandonment.The spatio-temporal pattern of cropland abandonment at the county level was analyzed.The results indicated that the overall accuracy of land use classification was over 90%.The cropland abandonment rate ranged from 3%to 5.5%from 2002 to 2020,while the cropland abandonment rate was highest in 2013 and showed a downward trend after 2017.Among the years,the area of first-time abandoned cropland was the largest in 2005.The distribution of the cropland abandonment rate was low in the middle and north,but high in the surrounding area and the south.A notable positive spatial correlation was observed in the cropland abandonment rate,with a gradual intensification of spatial clustering.The LISA cluster map revealed a significant north-south disparity,exhibiting an incremental trend over time in the characteristics of the“High-High”cluster in the Southeastern Mountainous Area and the“Low-Low”cluster in the Poyang Lake Hilly Plain in Jiangxi.The results of this study can provide data for extracting spatial information and analyzing the driving factors of cropland abandonment in hilly and mountainous areas,and they can also provide a basis for the development of policies for the utilization and classification management of abandoned cropland. 展开更多
关键词 cropland abandonment Google Earth Engine hilly and mountainous areas spatio-temporal pattern Jiangxi Province
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