排序方式： 共有11条查询结果，搜索用时 62 毫秒
1.
The Lower Mississippi Alluvial Valley (LMAV) was home to about ten million hectare bottomland hardwood (BLH) forests in the Southern U.S. It experienced over 80 % area loss of the BLH forests in the past centuries and large-scale afforestation in recent decades. Due to the lack of a high-resolution cropland dataset, impacts of land use change (LUC) on the LMAV ecosystem services have not been fully understood. In this study, we developed a novel framework by integrating the machine learning algorithm, county-level agricultural census, and satellite-based cropland products to reconstruct the LMAV cropland distribution during 1850–2018 at a 30-m resolution. Results showed that the LMAV cropland area increased from 0.78 × 104 km2 in 1850 to 6.64 × 104 km2 in 1980 and then decreased to 6.16 × 104 km2 in 2018. Cropland expansion rate was the largest in the 1960s (749 km2 yr−1) but decreased rapidly thereafter, whereas cropland abandonment rate increased substantially in recent decades with the largest rate of 514 km2 yr−1 in the 2010s. Our dataset has three notable features: (1) the depiction of fine spatial details, (2) the integration of the county-level census, and (3) the inclusion of a machine-learning algorithm trained by satellite-based land cover product. Most importantly, our dataset well captured the continuous increasing trend in cropland area from 1930–1960, which was misrepresented by other cropland datasets reconstructed from the state-level census. Our dataset would be important to accurately evaluate the impacts of historical deforestation and recent afforestation efforts on regional ecosystem services, attribute the observed hydrological changes to anthropogenic and natural driving factors, and investigate how the socioeconomic factors control regional LUC pattern. Our framework and dataset are crucial to developing managerial and policy strategies for conserving natural resources and enhancing ecosystem services in the LMAV. 相似文献
2.
土壤湿度作为影响陆气水热交换的重要变量,指示了干旱的演变特征。为揭示中国旱作农田土壤湿度的变化特征及其气象驱动要素,本文利用站点数据研究了1992—2018年中国旱作农田土壤湿度变化趋势的时间和空间特征,采用相关性、敏感性分析等方法探究了土壤湿度的驱动机制。结果表明：2001年中国旱作农田土壤湿度的变化趋势发生转折,土壤湿度年际变化普遍由下降趋势变为上升趋势,主要由夏季和秋季土壤湿度主导。而且土壤湿度的变化存在空间异质性,2001年后东北地区的土壤湿度在显著增加,而西南地区在显著下降。降水量和蒸散发的时空变化是土壤湿度趋势发生时空变化的主要原因,二者存在协同作用,北方地区由降水主导,南方地区由蒸散发主导。 相似文献
3.
中国土壤有机碳库及其演变与应对气候变化 总被引：33，自引：0，他引：33
潘根兴 《气候变化研究进展》2008,4(5):282-289
通过综述和评价中国土壤,特别是农田土壤有机碳库（以下简称碳库）的现状与演变态势, 讨论其对我国应对气候变化的意义, 提出了我国土壤碳库及其演变与应对气候变化的基本国情是：1) 我国土壤背景碳储量较低且区域分布不均衡;2) 我国土壤固碳效应明显,未来固碳减排潜力显著;3) 技术和政策是实现和提高我国土壤碳汇、促进我国应对气候变化能力建设的重要途径。建议进一步加强对我国农田土壤固碳减排的研发投入, 完善农业应对气候变化的相关政策和鼓励措施体系,研究构建气候友好的新型农业,以期在提高和稳定农业生产力与应对气候变化能力上获得双赢。 相似文献
4.
Chandrashekhar M. Biradar Prasad S. Thenkabail Praveen Noojipady Yuanjie Li Venkateswarlu Dheeravath Hugh Turral Manohar Velpuri Murali K. Gumma Obi Reddy P. Gangalakunta Xueliang L. Cai Xiangming Xiao Mitchell A. Schull Ranjith D. Alankara Sarath Gunasinghe Sadir Mohideen 《International Journal of Applied Earth Observation and Geoinformation》2009
The overarching goal of this study was to produce a global map of rainfed cropland areas (GMRCA) and calculate country-by-country rainfed area statistics using remote sensing data. A suite of spatial datasets, methods and protocols for mapping GMRCA were described. These consist of: (a) data fusion and composition of multi-resolution time-series mega-file data-cube (MFDC), (b) image segmentation based on precipitation, temperature, and elevation zones, (c) spectral correlation similarity (SCS), (d) protocols for class identification and labeling through uses of SCS R2-values, bi-spectral plots, space-time spiral curves (ST-SCs), rich source of field-plot data, and zoom-in-views of Google Earth (GE), and (e) techniques for resolving mixed classes by decision tree algorithms, and spatial modeling. The outcome was a 9-class GMRCA from which country-by-country rainfed area statistics were computed for the end of the last millennium. The global rainfed cropland area estimate from the GMRCA 9-class map was 1.13 billion hectares (Bha). The total global cropland areas (rainfed plus irrigated) was 1.53 Bha which was close to national statistics compiled by FAOSTAT (1.51 Bha). The accuracies and errors of GMRCA were assessed using field-plot and Google Earth data points. The accuracy varied between 92 and 98% with kappa value of about 0.76, errors of omission of 2–8%, and the errors of commission of 19–36%. 相似文献
5.
银川平原土壤盐渍化与中低产田遥感应用研究 总被引：10，自引：0，他引：10
土壤盐渍化是影响农业生产与生态环境的一个重要因素。长期以来,宁夏银川平原的次生土壤盐渍化问题十分突出,形成了许多盐渍型中低产田,影响和制约了区域农业的可持续发展。主要采用遥感解译方法提取了银川平原土壤盐渍化的分类与分布的现状信息。在此基础上,依据中低产田的分类标准,将相关的耕地类型、土壤肥力、作物产量、灌排水指标等因子转化成数字化专题图层,采用多源信息复合分类的方法,通过“综合分析,主导因子判定”实现了GIS辅助下的中低产田分类,为遥感和地理信息系统技术在土壤盐渍化和中低产田调查研究中的应用,探索出了一条可行的途径。 相似文献
6.
Murali Krishna Gumma Pardhasaradhi G. Teluguntla Adam Oliphant Jun Xiong Chandra Giri 《地理信息系统科学与遥感》2020,57(3):302-322
ABSTRACT The South Asia (India, Pakistan, Bangladesh, Nepal, Sri Lanka and Bhutan) has a staggering 900 million people (~43% of the population) who face food insecurity or severe food insecurity as per United Nations, Food and Agriculture Organization’s (FAO) the Food Insecurity Experience Scale (FIES). The existing coarse-resolution (≥250-m) cropland maps lack precision in geo-location of individual farms and have low map accuracies. This also results in uncertainties in cropland areas calculated from such products. Thereby, the overarching goal of this study was to develop a high spatial resolution (30-m or better) baseline cropland extent product of South Asia for the year 2015 using Landsat satellite time-series big-data and machine learning algorithms (MLAs) on the Google Earth Engine (GEE) cloud computing platform. To eliminate the impact of clouds, 10 time-composited Landsat bands (blue, green, red, NIR, SWIR1, SWIR2, Thermal, EVI, NDVI, NDWI) were derived for each of the three time-periods over 12 months (monsoon: Days of the Year (DOY) 151–300; winter: DOY 301–365 plus 1–60; and summer: DOY 61–150), taking the every 8-day data from Landsat-8 and 7 for the years 2013–2015, for a total of 30-bands plus global digital elevation model (GDEM) derived slope band. This 31-band mega-file big data-cube was composed for each of the five agro-ecological zones (AEZ’s) of South Asia and formed a baseline data for image classification and analysis. Knowledge-base for the Random Forest (RF) MLAs were developed using spatially well spread-out reference training data (N = 2179) in five AEZs. The classification was performed on GEE for each of the five AEZs using well-established knowledge-base and RF MLAs on the cloud. Map accuracies were measured using independent validation data (N = 1185). The survey showed that the South Asia cropland product had a producer’s accuracy of 89.9% (errors of omissions of 10.1%), user’s accuracy of 95.3% (errors of commission of 4.7%) and an overall accuracy of 88.7%. The National and sub-national (districts) areas computed from this cropland extent product explained 80-96% variability when compared with the National statistics of the South Asian Countries. The full-resolution imagery can be viewed at full-resolution, by zooming-in to any location in South Asia or the world, at www.croplands.org and the cropland products of South Asia downloaded from The Land Processes Distributed Active Archive Center (LP DAAC) of National Aeronautics and Space Administration (NASA) and the United States Geological Survey (USGS): https://lpdaac.usgs.gov/products/gfsad30saafgircev001/. 相似文献
7.
8.
等高固氮植物篱技术——山区坡耕地保护开发利用的有效途径 总被引：22，自引：1，他引：22
固氮植物篱近年来被热带地区用作防治坡耕地的水土流失和肥力退化的有效手段。在地处亚热带金沙江干热河谷区的中国科学院成都生物研究所宁南持续发展实验站的研究结果表明：与传统顺坡耕作方式相比，利用新银合欢(L．1eucocephala)或山毛豆(T．candida)在坡耕地上每隔4m培植高密度的双行等高植物篱可使坡耕地的径流量平均减少49．6％以上，土壤侵蚀及其产生的养分流失均减少98％以上，土壤有机质、全氮、阳离子交换量等养分有很大程度的恢复和改善。农作物产量得以维持和提高，这说明等高固氮植物篱对我国亚热带坡耕地的水土保持和土壤改良同样具有十分良好的效果。 相似文献
9.
水田在休耕期间蓄水,除了可维持水田原有之生态机能外,亦可增加土壤水分涵养与补注地下水.利用砂箱来模拟休耕田区中打入砂桩以补注地下水时,砂桩存在对灌溉水中之溶质在土壤中传输之影响.由试验结果得知当砂桩贯穿牛踏层时可增加水分入渗速率约40倍,相对的,砂桩亦加速溶质在不同土壤层间之传输速率,尤其在牛踏层下方之土壤为砂层时,其影响更为显著.因此,蓄水过程中需注意水源之品质,以避免土壤与地下水受污染. 相似文献
10.