Little River Experimental Watershed,a keystone in understanding of coastal plain watersheds     

David D. Bosch  Alisa W. Coffin  Joseph Sheridan  Oliva Pisani  Dinku M. Endale  Tim C. Strickland 《水文研究》2021,35(8):e14334

The US Department of Agriculture-Agricultural Research Service Southeast Watershed Research Laboratory (SEWRL) initiated a hydrologic research program on the Little River Experimental Watershed (LREW) in 1967. Long-term (52 years) streamflow data are available for nine sites, including rainfall-runoff relationships and hydrograph characteristics regularly used in research on interactive effects of climate, vegetation, soils, and land-use in low-gradient streams of the US EPA Level III Southeastern Plains ecoregion. A summary of prior research on the LREW illustrates the impact of the watershed on building a regional understanding of hydrology and water quality. Climatic and streamflow data were used to make comparisons of scale across the nine nested LREW watersheds (LRB, LRF, LRI, LRJ, LRK, LRO, LRN, LRM, and LRO3) and two regional watersheds (Alapaha and Little River at Adel). Annual rainfall for the largest LREW, LRB, was 1200 mm while average annual streamflow was 320 mm. Annual rainfall, streamflow, and the ratio between annual streamflow and rainfall (Sratio) were similar (α = 0.05) across LREWs LRB, LRF, LRI, LRJ, LRK, and LRO. While annual rainfall within the 275 ha LRO3 was found to be similar to LRO and LRM (α = 0.05), annual streamflow and Sratio were significantly different (α = 0.05). Comparisons of annual rainfall, streamflow, and Sratio between LRB and the regional watersheds indicated no differences (α = 0.05). Based upon this analysis, most regional watersheds shared similar hydrologic characteristics. LRO3 was an exception, where increases in row crops and decreases in forest coverage resulted in increased streamflow. LREW data have been instrumental in building considerable scientific understanding of flow and transport processes for these stream systems. Continued operation of the LREW hydrologic network will support hydrologic research as well as environmental quality and riparian research programs that address emerging and high priority natural resource and environmental issues.  相似文献   

甘肃酒泉市观光农业发展研究   总被引：10，自引：3，他引：7  

杨彦明  董锁成 《干旱区地理》2004,27(1):84-89

在对甘肃河西走廊酒泉市旅游业发展制定规划的过程中,认识观光农业对于形成普遍的旅游意识和开发旅游资源、完善旅游业结构具有特殊意义。干旱地区观光农业发展有利于农业向可持续方向转变和保持传统文化的延续。酒泉市观光农业发展有赖于地区旅游业的整体发展,在现阶段依附于木地城镇,重点旅游景点和旅游线路。根据这种依附性可以对观光农业资源进行空问分类,将其划分为城郊型、景点依附型、线路依附型和独立型．并据此对现有观光农业加以评价和考虑布局问题。由于绿洲地区城市空间结构的特点．城郊型观光农业具有很大的发展潜力,布局重点也比较明确。景点依附型观光农业可以集中于几个著名的、比较成熟的景点周边。独立型观光农业的发展主要以现有的生态农业开发区为基础,但是依赖于密集的资金投入。在长期内,在广大范围内丰富的绿洲农业资源的基础上发展观光农业,有赖于未来私人汽车旅游的普及和带薪假期制度的实行．以及旅游业充分发展后线路旅游的成熟。特定商业模式和文化资源的加入以及形成新的旅游观念对于其发展极为重要。  相似文献   

粟类作物稃片植硅体形态研究回顾与展望     

张健平  吕厚远  葛勇  邵孔兰 《第四纪研究》2019,39(1):1-11

中国是粟、黍的起源地,但受植物遗存保存状况及研究方法的限制,对粟类旱作农业起源与驯化的时间、地点、种类、过程等的认识仍然存在不同观点。植硅体分析为准确鉴定粟、黍及其野生祖本和亲缘物种提供了新的途径。本文总结了近几年来针对粟、黍种子稃片植硅体研究取得的新进展,获得以下认识:1)进一步明确了稃片表皮长细胞植硅体的形态特征、大小、数量是鉴定考古文化堆积中粟、黍及其野生祖本和亲缘野生物种的可靠指标;2)通过对比我国北方常见的狗尾草属稃片植硅体,发现了ΩⅢ型仅发育于粟和青狗尾草的稃片中部,且其大小与狗尾草属野生植物差异显著;3)分析和说明了稃片植硅体鉴定流程和方法、重点强调了稃片Ω/η类型的鉴定特征和应用范围,以及植硅体统计量等关键问题;4)讨论了粟类稃片植硅体产量与农作物产量的关系以及植硅体埋藏学问题,最后对深化粟类植硅体形态学研究提出了初步建议。希望通过本文的总结与讨论,能够使植硅体分析方法在粟类作物起源和传播的研究中得到更准确、更广泛的应用。  相似文献   

商末气候变化对于稻作农业的影响——基于济南大辛庄、刘家庄遗址商代植物遗存观察     

宫玮  方辉  郭俊峰  陈雪香 《第四纪研究》2019,39(1):170-182

气候变化影响着农作物的生长。文章通过对比济南大辛庄遗址中、晚商时期的植物遗存和济南刘家庄遗址商末周初的植物遗存,发现两个遗址主要农作物均包括粟(Setaria italica (L.)Beauv.)、黍(Panicum miliaceum L.)、大豆(Glycine max(L.)Merr.)和小麦(Ttiticum aestivum L.),大辛庄遗址水稻(Oryza sativa L.)绝对数量较多,但刘家庄遗址未发现水稻。综合本地区其他遗址的植物考古研究结果,可以发现山东地区岳石文化时期、商代水稻仍是主要粮食作物之一,但到商末周初水稻数量急剧减少。同时,邻近的中原地区和关中地区,多处商周时期遗址水稻种植也普遍出现萎缩。多项地质记录表明,商末(3000 a B.P.前后)东亚夏季风快速减弱,降水量显著下降。山东地区受东亚季风影响,这一时期降水量减少,难以保证稻作农业所需的持续充足的水源,从而影响到水稻产量和种植规模。因此,商末气候变化很可能是刘家庄遗址商末周初水稻缺失以及山东地区商末周初水稻数量骤降的主要原因之一,也同时影响到整个黄河中下游这一时期的稻作农业。  相似文献   

Cover crops and precipitation influence soluble reactive phosphorus losses via tile drain discharge in an agricultural watershed     

Matt T. Trentman  Jennifer L. Tank  Todd V. Royer  Shannon L. Speir  Ursula H. Mahl  Lienne R. Sethna 《水文研究》2020,34(23):4446-4458

Subsurface tile drainage speeds water removal from agricultural fields that are historically prone to flooding. While managed drainage systems improve crop yields, they can also contribute tothe eutrophication of downstream ecosystems, as tile-drained systems are conduits for nutrients to adjacent waterways. The changing climate of the Midwestern US has already altered precipitation regimes which will likely continue into the future, with unknown effects on tile drain water and nutrient loss to waterways. Adding vegetative cover (i.e., as winter cover crops) is one approach that can retain water and nutrients on fields to minimize export via tile drains. In the current study, we evaluate the effect of cover crops on tile drain discharge and soluble reactive phosphorus (SRP) loads using bi-monthly measurements from 43 unique tile outlets draining fields with or without cover crops in two watersheds in northern Indiana. Using four water years of data (n = 844 measurements), we examined the role of short-term antecedent precipitation conditions and variation in soil biogeochemistry in mediating the effect of cover crops on tile drain flow and SRP loads. We observed significant effects of cover crops on both tile drain discharge and SRP loads, but these results were season and watershed specific. Cover crop effects were identified only in spring, where their presence reduced tile drain discharge in both watersheds and SRP loads in one watershed. Varying effects on SRP loads between watersheds were attributed to different soil biogeochemical characteristics, where soils with lower bioavailable P and higher P sorption capacity were less likely to have a cover crop effect. Antecedent precipitation was important in spring, and cover crop differences were still evident during periods of wet and dry antecedent precipitation conditions. Overall, we show that cover crops have the potential to significantly decrease spring tile drain P export, and these effects are resilient to a wide range of precipitation conditions.  相似文献   

国外城市农业的角色演变、潜在效益及其对中国的启示     

马恩朴  蔡建明  林静  廖柳文  韩燕 《世界地理研究》2021,30(1):136-147

作为新兴的农业形式,城市农业本质上是一项以食物生产为直接目的的城市生态工程,有望在促进城市可持续发展方面作出积极贡献。据此,文章首先从历史视角回顾了国外城市农业的发展历程,进而基于文献证据,论述了城市农业在环境、社会和经济三个维度上的潜在效益,并以特拉维夫市的绿色城市项目为例,对城市农业多功能效益的具体表现予以鉴析。基于此,文章进一步指出中国在发展城市农业方面尚存在诸多技术缺口,为了应对城市化时代可能面临的重大挑战和缩小城市农业发展上的国内外差距,中国应在建立技术法规与标准体系、提升规划设计与实施水平、促进城市农业装备研发应用和加强多学科技术集成方面及早开展行动。  相似文献   

老挝北部Sentinel-2 A/B云覆盖适宜阈值界定及其影像获取概率时空差异     

刘怡媛  李鹏  肖池伟  刘影  谢正磊 《地球信息科学学报》2020,22(11):2267-2276

光学卫星影像云覆盖时空特征评估是衡量其作为重要遥感监测数据源的前提。Sentinel-2 A/B影像因其免费获取、多光谱（红边）、更高时空分辨率等优势,已在全球不同尺度陆面植被与生态监测中受到重视。相较于Landsat等同类影像产品,有关Sentinel-2 A/B的云覆盖分析还未见报道。本文利用2016—2018年老挝北部所有5288景Sentinel-2 A/B影像（Granule/Tile）的云覆盖元数据,基于不同云覆盖阈值（0~100%）水平下的影像获取概率差异确定了影像获取概率分析的云覆盖适宜阈值,并揭示了云量特征阈值水平下的影像获取概率时空差异。主要结论如下:① Sentinel-2 A/B影像获取概率分析云覆盖适宜特征阈值为20%（即云覆盖≤20%）,该阈值水平下老挝北部Sentinel-2 A/B影像的逐月累积平均获取概率最高（约27.41%）;② 在20%云覆盖阈值水平下,老挝北部Sentinel-2 A/B影像逐月累积平均获取概率差异在时间上与旱季（11月—次年4月）雨季（5月—10月）的时间分布较为吻合。旱季获取概率约为42.91%,3月概率（50.27%）最大,4月与2月次之,时间上与刀耕火种焚烧与橡胶林落叶特征吻合;雨季相应概率约为11.81%,6月最低（约1.26%）;③ 老挝北部Sentinel-2 A/B影像逐月累积平均获取概率在空间上存在东西差异,旱季西部省域单元（如琅南塔）影像获取概率远高于东部,雨季西部地区影像获取概率则略低于东部地区。本研究既可为后续开展大区及全球Sentinel-2 A/B影像云量分析提供借鉴,也对开展联合国减少森林砍伐和退化排放（UN-REDD）计划引发的土地利用变化如刀耕火种农业演变、橡胶林扩张等遥感监测有指导意义。  相似文献   

黑土区田块尺度遥感精准管理分区   总被引：2，自引：0，他引：2  

刘焕军  邱政超  孟令华  付强  姜佰文  闫岩  徐梦园 《遥感学报》2017,21(3):470-478

基于格网采样与空间插值的精准管理分区方法精度高,但时效性差、成本高。本文以东北农垦地区红星农场农田为研究对象,提出一种基于遥感影像的精准管理分区方法:以裸土高空间分辨率遥感影像作为数据源,结合田间格网采样数据,基于裸土反射光谱特征与黑土主要理化性质的显著相关关系,运用面向对象分割、空间统计分析方法,对典型黑土区田块进行精准管理分区研究,并利用土壤理化性质和农作物生理参数,对分区结果进行评价。得出如下结论:(1)典型黑土区田块内部土壤养分含量空间变异显著;(2)基于裸土影像与面向对象的精准管理分区方法精度高,增强了分区之间的土壤养分与归一化植被指数(NDVI)差异性、分区内部各属性的一致性;(3)基于2015年4月1日和2015年5月20日单期影像分区和两期影像波段叠加(Layer stacking)分区,区间变异系数与区内变异系数之比分别为1.42、1.39和7.63,基于两期影像综合信息的分区结果显著优于基于单期影像分区;(4)基于裸土影像面向对象分割的精准管理分区方法时效性强、成本低、精度高。研究成果为田间变量施肥、发展精准农业、实现农业可持续发展提供依据。  相似文献   

Automatic estimation of olive tree dendrometric parameters based on airborne laser scanning data using alpha-shape and principal component analysis     

Edyta Hadas  Andrzej Borkowski  Javier Estornell  Przemyslaw Tymkow 《地理信息系统科学与遥感》2017,54(6):898-917

The aim of this study is to present an automatic approach for olive tree dendrometric parameter estimation from airborne laser scanning (ALS) data. The proposed method is based on a unique combination of the alpha-shape algorithm applied to normalized point cloud and principal component analysis. A key issue of the alpha-shape algorithm is to define the α parameter, as it directly affects the crown delineation results. We propose to adjust this parameter based on a group of representative trees in an orchard for which the classical field measurements were performed. The best value of the α parameter is one whose correlation coefficient of dendrometric parameters between field measurements and estimated values is the highest. We determined crown diameters as principal components of ALS points representing a delineated crown. The method was applied to a test area of an olive orchard in Spain. The tree dendrometric parameters estimated from ALS data were compared with field measurements to assess the quality of the developed approach. We found the method to be equally good or even superior to previously investigated semi-automatic methods. The average error is 19% for tree height, 53% for crown base height, and 13% and 9% for the length of the longer diameter and perpendicular diameter, respectively.  相似文献   

Is remote sensing useful for finding and monitoring urban farms?     

《Applied geography (Sevenoaks, England)》2017

As the world becomes increasingly urbanized, the need for fresh fruits and vegetables in urban areas grows while the difficulty of bringing these perishable products to these areas also increases. Small-scale agriculture located in urban areas is a highly effective and profitable way to provide these products to communities that are far from extensive commercial agricultural areas. Here we describe how remote sensing can be used with data mining approaches to monitor urban and peri-urban farms within cities in both developed and developing countries. Using very high resolution satellite imagery together with moderate and coarse resolution imagery and information from social media and the web, we analyze the usefulness of different methods to identify farms within urban boundaries in four countries. The analysis shows how a mixed-method approach is necessary in order to identify where urban farming is occurring and to monitor its change through time. Although remote sensing-based vegetation and water indices were useful, without ancillary data they are not effective at remotely mapping the locations of urban farms. However, remote sensing is a good way to monitor vegetation condition in locations where actively managed urban farms are known to exist.  相似文献