增塑剂邻苯二甲酸二异癸酯致小鼠肺组织氧化损伤作用

探究邻苯二甲酸二异癸酯(diisodecyl phthalate,DIDP)对小鼠肺组织的氧化损伤。以BALB/c小鼠为受试动物,随机分为7组,包括1个阴性对照组(生理盐水)、4个DIDP染毒组(0.15,1.5,15,150 mg·kg~(-1))、1个维生素E(100 mg·kg~(-1))组和1个高剂量DIDP(150 mg·kg~(-1))加维生素E(100 mg·kg~(-1))组,灌胃染毒14 d。处死小鼠,制备肺组织匀浆样品,以化学荧光法检测活性氧(reactive oxygen species,ROS)含量,以分光光度试剂盒法检测还原型谷胱甘肽(glutathione,GSH)的含量、以硫代巴比妥酸(TBA)法检测丙二醛(malondialdehyde,MDA)的含量、以酶联免疫吸附(EILSA)试剂盒法检测8-羟基脱氧鸟苷(8-hydroxy-deoxyguanosine,8-OHdG)的含量,同时观察肺组织的病理变化与荧光染色结果。随着DIDP染毒剂量的升高,肺组织的ROS、MDA、8-OHdG含量逐渐上升,GSH含量逐渐降低,各指标呈一定的剂量-效应关系。染毒剂量为15 mg·kg~(-1)时,ROS、GSH、8-OHdG含量差异有统计学意义(P 0.05,P 0.01);染毒剂量为150 mg·kg~(-1)时,上述指标差异均有统计学意义(P 0.05,P 0.01)。小鼠肺组织HE染色和荧光染色观察结果表明,随着DIDP染毒剂量的增加,小鼠肺细胞的病理损伤越严重。与150 mg·kg~(-1)DIDP剂量组比较,150 mg·kg~(-1)DIDP+维生素E组的ROS、MDA和8-OHdG含量均有下降,GSH含量上升(P 0.05,P 0.01);小鼠肺组织病理损伤减轻。以上结果说明,较高剂量(≥15 mg·kg~(-1))的DIDP能造成小鼠肺组织的氧化损伤,维生素E对其损伤有拮抗作用。     

Identifying the possibilities and pitfalls of conducting IUCN Red List assessments from remotely sensed habitat information based on insights from poorly known Cuban mammals

The International Union for Conservation of Nature's Red List of Threatened Species (RLS) is the key global tool for objective, repeatable assessment of species’ extinction risk status, and plays an essential role in tracking biodiversity loss and guiding conservation action. Satellite remote sensing (SRS) data sets on global ecosystem distributions and functioning show exciting potential for informing range-based RLS assessment, but their incorporation has been restricted by low temporal resolution and coverage of data sets, lack of incorporation of degradation-driven habitat loss, and noninclusion of assumptions related to identification of changing habitat distributions for taxa with varying habitat dependency and ecologies. For poorly known mangrove-associated Cuban hutias (Mesocapromys spp.), we tested the impact of possible assumptions regarding these issues on range-based RLS assessment outcomes. Specifically, we used annual (1985–2018) Landsat data and land-cover classification and habitat degradation analyses across different internal time series slices to simulate range-based RLS assessments for our case study taxa to explore potential assessment uncertainty arising from temporal SRS data set coverage, incorporating proxies of (change in) habitat quality, and assumptions on spatial scaling of habitat extent for RLS parameter generation. We found extensive variation in simulated species-specific range-based RLS assessments, and this variation was mostly associated with the time series over which parameters were estimated. However, results of some species-specific assessments differed by up to 3 categories (near threatened to critically endangered) within the same time series, due to the effects of incorporating habitat quality and the spatial scaling used in RLS parameter estimation. Our results showed that a one-size-fits-all approach to incorporating SRS information in RLS assessment is inappropriate, and we urge caution in conducting range-based assessments with SRS for species for which habitat dependence on specific ecosystem types is incompletely understood. We propose novel revisions to parameter spatial scaling guidelines to improve integration of existing time series data on ecosystem change into the RLS assessment process.     

遥感数据时间分辨率对土地覆盖变化监测的影响

由于土地覆盖通常存在年际变化和季节变化,区分人为活动引起的变化与这种自然变化需要两期数据时间一致。论文利用黑龙江省1975、1990、2000、和2005代表年Landsat数据,分析了数据时间差在16 d MODIS-NDVI时间序列的误差。研究发现,Landsat数据4个代表年的年际差分别为1975±4 a,1990±4.5 a,2000±1.5 a,2005±1.5 a,季节差为47 d。Landsat季节差对MODIS-NDVI的影响是:当季节差为16~48 d时,东北地区耕地与草地以生长高峰期为参照的MODIS-NDVI变化最高可达0.4以上,林地MODIS-NDVI变化0.1~0.2;当时间差<16 d时,如果仍以生长高峰期为绝对参照,东北大部分地区误差<0.1,只有少数耕地误差0.1~0.2。如果以两个时间为相对参照,则<16 d的误差也可能导致较大的MODIS-NDVI误差,其大小有明显的季节性。在生长高峰期7月12日至8月28日,8 d±8 d的时间差导致的NDVI差大于0.1的像元仅2.93%,是变化检测最佳时期;但在除此之外的6月10日至9月29日间,8 d±8 d时间差导致NDVI差大于0.1的像元比例超过11.42%,选择Landsat必须避开这一敏感期。结论:利用高时间分辨率MODIS-NDVI可在3个方面提高Landsat变化检测效果:①辅助选择最佳时间;②当无法选择最佳时间时,评估时间差可能引起的误差和方向;③直接使用生物物理参数作为变化检测的指标之一。     

盐城海滨湿地植被地上生物量遥感估算研究

以盐城湿地自然保护区核心区的ETM+图像数据和同期野外实测的31 个样方地上生物量干重、湿重数据为数据源,分析了15 个遥感信息变量与湿地植被地上生物量干重、湿重的相关关系,并选择在0.01 水平上显著相关的8 个遥感变量建立一元线性回归模型、一元曲线回归模型以及多元逐步回归模型,并对比得出最优模型,进而计算出整个研究区的地上生物量。研究得出：①与研究区湿地植被地上生物量干重和湿重相关性最大的都是ETM+4 波段,干重的相关系数为0.833,湿重的相关系数为0.796;②研究区植被地上生物量干重和湿重的遥感估算模型都是一元三次函数模型,且干重模型的拟合精度要优于湿重模型;③得到研究区地上生物量干重总重量为2.28×10⁸ kg,湿重总重量为6.10×10⁸ kg。     

基于国内外灾害经济研究与管理实践的启示

中外学者从不同视域对灾害经济与管理问题进行了研究,形成了一些有代表性的观点。各国政府在防灾减灾、灾后重建等方面也积累了大量的经验。这些观点和经验为我们深入研究灾害管理机制奠定了基础,结合汶川8.0级地震导致的惨重损失及灾后重建出现的问题,阐述了构建我国以人为本的灾害管理机制和可持续重建地震灾区的基本对策。     

新《防震减灾法》浅议——以汶川8.0级地震为例

以汶川8.0级地震为例,对新《防震减灾法》进行了解读,新《防震减灾法》在旧法的基础上,主要完善了防震减灾规划制度、建设工程抗震设防制度,增加了对学校医院等重要建筑和农村民居、乡村公共设施的抗震设防要求的规定,强化了防震减灾群测群防制度以加强对地震灾害的预防;完善了地震应急救援机制;进一步规范了地震灾后过渡性安置和恢复重建制度;加强了政府在防震减灾工作中的领导和协调作用。同时文中也指出了新《防震减灾法》存在的不足。     

National aeronautics and space administration

The United States National Aeronautics and Space Administration is an important real and potential source of global environmental data. This paper describes some of its capabilities as they relate to the their R&D and their data centers.     

NEAR REAL-TIME MAPPING OF THE 1975 MISSISSIPPI RIVER FLOOD IN LOUISIANA USING LANDSAT IMAGERY1

ABSTRACT: The project described in this report was undertaken by the Louisiana State Planning Office to establish the extent of backwater flooding in Louisiana in April 1975. Band 7 Landsat imagery, enlarged to a scale of 1:250,000 was used to visually identify flooded areas. Inundated areas were delineated on overlays keyed to 1:250,000 U.S. Geological Survey topographic quadrangles. Tabular data identifying acres flooded, according to land use type, were derived by merging the flood map overlays with computerized 1972 land use data. Approximately 1.12 million acres of the state were inundated by flood waters. The total acreage and land use types affected by flooding were determined within 72 hours from the time the flood areas were imaged. Flooded maps were prepared for 26 parishes. Field observations were made by Louisiana Cooperative Extension Service county agents in order to determine the accuracy of parish flood maps and flood acreage figures by land use type. Results indicated that this was a fast, accurate, and relatively inexpensive method of compiling flood data for disaster planning and postflood analysis.     

Detecting deforestation with a spectral change detection approach using multitemporal Landsat data: a case study of Kinabalu Park, Sabah, Malaysia

Tropical deforestation is occurring at an alarming rate, threatening the ecological integrity of protected areas. This makes it vital to regularly assess protected areas to confirm the efficacy of measures that protect that area from clearing. Satellite remote sensing offers a systematic and objective means for detecting and monitoring deforestation. This paper examines a spectral change approach to detect deforestation using pattern decomposition (PD) coefficients from multitemporal Landsat data. Our results show that the PD coefficients for soil and vegetation can be used to detect deforestation using change vector analysis (CVA). CVA analysis demonstrates that deforestation in the Kinabalu area, Sabah, Malaysia has significantly slowed from 1.2% in period 1 (1973 and 1991) to 0.1% in period 2 (1991 and 1996). A comparison of deforestation both inside and outside Kinabalu Park has highlighted the effectiveness of the park in protecting the tropical forest against clearing. However, the park is still facing pressure from the area immediately surrounding the park (the 1km buffer zone) where the deforestation rate has remained unchanged.     

Landsat ETM+ Images in the Estimation of Seasonal Lake Water Quality in Boreal River Basins

We investigated the use of Landsat ETM+ images in the monitoring of turbidity, colored dissolved organic matter (CDOM), and Secchi disk transparency (Z(SD)) in lakes of two river basins located in southern Finland. The ETM+ images were acquired in May, June, and September 2002 and were corrected for atmospheric disturbance using the simplified method of atmospheric correction (SMAC) model. The in situ measurements consisted of water sampling in the largest lake of the region, routine monitoring results for the whole study area, and Z(SD) observations made by volunteers. The ranges of the water quality variables in the dataset were as follows: turbidity, 0.6-25 FNU; absorption coefficient of CDOM at 400 nm, 1.0-12.2 m(-1); Z(SD), 0.5-5.5 m; and chlorophyll a concentration, 2.4-80 mug L(-1). The estimation accuracies of the image-specific empirical algorithms expressed as relative errors were 23.0% for turbidity, 17.4% for CDOM, and 21.1% for Z(SD). If concurrent in situ measurements had not been used for algorithm training, the average error would have been about 37%. The atmospheric correction improved the estimation accuracy only slightly compared with the use of top-of-atmospheric reflectances. The accuracy of the water quality estimates without concurrent in situ measurements could have been improved if in-image atmospheric parameters had been available. The underwater reflectance simulations of the ETM+ channel wavelengths using water quality typical for Finnish lakes (data from 1113 lakes) indicated that region-specific algorithms may be needed in other parts of the country, particularly in the case of Z(SD). Despite the limitations in the spectral and radiometric resolutions, ETM+ imagery can be an effective aid, particularly in the monitoring and management of small lakes (<1 km(2)), which are often not included in routine monitoring programs.