“We Don’t Equal Even Just One Man”: Gender and Social Control in Conservation Adoption

Women own or co-own approximately half of the farmland in Iowa, United States, yet researchers are only beginning to study these landowners’ social relationships in relation to their land. This study analyzes qualitative data collected in Iowa through a series of meetings hosted by the Women, Food and Agriculture Network (WFAN). I find that social control through exclusion constrains women landowners’ access to information about and implementation of conservation. Specifically, I identify how women landowners experience the social processes of boundary maintenance and othering in land management. These processes create barriers to conservation adoption and maintain gendered agricultural landscapes. The women who participated in WFAN’s conservation programs express their experience of and resistance to dominant narratives as they attempt to create landscape change. These findings highlight the importance of further study of inequality processes and their relation to control of farmland if conservation goals are to be met.     

Lesbian and Queer Sustainable Farmer Networks in the Midwest

Heteropatriarchy underpins contemporary U.S. agriculture, even within the alternative sector. This paper builds on the legacies of women farmers and farmers of color creating peer networks to circumvent heteropatriarchal hurdles by investigating how lesbian, bisexual, trans, and queer (LBTQ) sustainable farmers access human resources. If and how did the farmers encounter or resist heteropatriarchy in this process? Drawing on four years of ethnographic research with 40 LBTQ Midwest sustainable farmers, I argue that resources through government agencies, neighborhood farmers, and like-minded practitioners did not necessarily align with LBTQ farmers’ sustainable practices or queer identities. LBTQ farmers convened with others at the intersections of their queerness and sustainable practices formally, informally, and through the labor market to access human resources removed from heteropatriarchal domination. I conclude that LBTQ farmer networks bolster human resources in sustainable agriculture and conservation practices.     

Relational Agriculture: Gender,Sexuality, and Sustainability in U.S. Farming

Although 97% of U.S. farms are “family-owned,” little research examines how gender and sexual relationships – inherent in familial dynamics – influence farmers’ practices and livelihoods. Gender and sexual dynamics – shaped by race and class – affect who is considered a farmer, land management decisions, and access to resources like land, subsidies, and knowledge. We use feminist and queer lenses to illuminate how today’s agricultural gender and sexual relations are not “natural,” but when left uninterrogated are constructed in ways that harm women and queer farmers while limiting potential to develop sustainable practices. Women and queer farmers also resist, “re-orienting” gender and sexual relations in ways that expand possibilities for achieving food justice and ecological sustainability. We offer “relational agriculture” as a tool for making visible and re-orienting gender and sexual relations on farms. Relational agriculture brings sexuality into food justice and demonstrates the centrality of gender and sexuality to agricultural sustainability.     

中国碱蓬属Suaeda植物研究中的分类学错误

以纠正碱蓬属Suaeda盐生植物研究中广泛存在的分类错误为目的,针对碱蓬属研究中因缺乏正确的种属鉴定与使用错误种名等导致无法确定研究对象是何植物,使研究结果丧失确定性和科学价值的问题,通过对相关错误文献的梳理,对包括《中国高等植物图鉴》在内的有关碱蓬属植物研究文献进行了初步分析,指出了有关碱蓬属植物研究中的同物异名、同名异物以及中文名与拉丁名错乱等问题并予以纠正。对提高碱蓬属植物研究的科学性与可靠性具有重要参考价值。     

地理国情监测成果在农业、旅游领域中的应用

开展地理国情监测工作的目的是为了获取自然与人类社会经济活动引起的地表变化信息,具体包括地表自然要素、人文地理要素和社会经济信息的空间分布特征及其相互关系,是基本国情的重要组成部分,为政府管理决策、企业生产运营、人民群众生活提供数据基础和决策依据。本文基于地理国情监测数据,结合多种测绘地理信息数据和技术手段,探讨如何利用地理国情监测成果促进农业与旅游业的发展,以期深入挖掘和提升监测成果价值,全面拓展监测成果应用服务的新思路、新方向。     

基于AHP-PSR模型的西南丘陵地区农用地集约利用动态评价

针对西南丘陵地区农用地利用效率低、耕地质量锐减、人地关系逐步恶化等问题构建了基于AHP-PSR模型的西南丘陵地区农用地集约利用评价系统。采用专家打分法进行指标筛选后,基于AHP-PSR模型进行农用地集约利用动态评价,对系统内部协调及稳定性进行分析、评估,较深入地研究农用地集约利用驱动因子,并采用最优子集选取策略分析集约利用驱动力,以避免仅以简单相关性就加入或剔除驱动力因素导致回归系数不符合实际内涵的现象。实验表明:可利用系统调整指标间权重,动态展示人地关系协调可持续发展关系,其分析结果可供有关部门决策参考。     

广西农业干旱动态评估模型

以自然条件下大气-作物-土壤系统的水量平衡方程为基础,结合广西干旱灾害特点,建立广西农业干旱评估模型。与广西历史农业旱情实况对比分析表明,该模型能够较客观、定量地对农业干旱的发生、发展过程进行逐日动态监测和灾中、灾后评估。     

Winter cover crops in Dutch maize fields: Variability in quality and its drivers assessed from multi-temporal Sentinel-2 imagery

Planting a cover crop between the main cropping seasons is an agricultural management measure with multiple potential benefits for sustainable food production. In the maize production system of the Netherlands, an effective establishment of a winter cover crop is important for reducing nitrogen leaching to groundwater. Cover crop establishment after maize cultivation is obliged by law for sandy soils and consequently implemented on nearly all maize fields, but the winter-time vegetative ground cover varies significantly between fields. The objectives of this study are to assess the variability in winter vegetative cover and evaluate to what extent this variability can be explained by the timing of cover crop establishment and weather conditions in two growing seasons (2017–2018). We used Sentinel-2 satellite imagery to construct NDVI time series for fields known to be cultivated with maize within the province of Overijssel. We fitted piecewise logistic functions to the time series in order to estimate cover crop sowing date and retrieve the fitted NDVI value for 1 December (NDVI_Dec). We used NDVI_Dec to represent the quality of cover crop establishment at the start of the winter season. The Sentinel-2 estimated sowing dates compared reasonably with ground reference data for eight fields (RMSE = 6.6 days). The two analysed years differed considerably, with 2018 being much drier and warmer during summer. This drought resulted in an earlier estimated cover crop sowing date (on average 19 days) and an NDVI_Dec value that was 0.2 higher than in 2017. Combining both years and all fields, we found that Sentinel-2 retrieved sowing dates could explain 55% of the NDVI_Dec variability. This corresponded to a positive relationship (R² = 0.50) between NDVI_Dec and the cumulative growing degree days (GDD) between sowing date and 1 December until reaching 400 GDD. Based on cumulative GDD derived from two weather stations within Overijssel, we found that on average for the past three decades a sowing date of 19 September (± 7 days) allowed to attain these 400 GDD; this provides support for the current legislation that states that from 2019 onwards a cover crop should be sown before 1 October. To meet this deadline, while simultaneously ascertaining a harvest-ready main crop, in practice implies that undersowing of the cover crop during spring will gain importance. Our results show that Sentinel-2 NDVI time series can assess the effectiveness and timing of cover crop growth for small agricultural fields, and as such has potential to inform regulatory frameworks as well as farmers with actionable information that may help to reduce nitrogen leaching.     

珠三角基塘系统研究回顾及展望

基塘系统是中国劳动人民独创的低洼地利用方式和生态循环农业模式,珠三角基塘系统在历史上曾起到重要的作用,但目前其面积萎缩、生态功能退化。为了推动珠三角传统农业文化遗产的保护、促进区域人地关系协调发展,论文结合文献计量学方法对珠三角基塘系统研究文献进行梳理和概括,发现在基(田)塘生产力、区域水陆生态农业循环模式规律、社会经济发展与传统农业文化遗产保护的关系等方面已经展开研究;但是珠三角基塘系统演变机理研究比较薄弱,区域特色的农业文化遗产保护途径探索还鲜见。建议未来加强珠三角基塘系统演变机理、系统重构技术、农业文化遗产保护价值与途径的研究,以此深化基塘系统理论及实践研究,为协同区域农业生产格局与农业生态系统耦合关系提供支撑。     

基于高分辨率遥感影像的设施农业资源信息采集技术研究

结合设施农业空间位置分布规律及其在高分辨率遥感影像上的纹理特征体现,设计了批量设施自动生成算法,并基于GIS组件开发了基于高分辨率遥感影像的设施农业信息采集系统;该系统以高分辨率遥感影像为基础底图,结合批量设施自动生成算法进行数字化,实现了人机交互式半自动化信息采集。