土壤碳库研究中土壤数据从矢量到栅格的等精度转换

矢量数据转换成栅格数据是多数区域土壤碳库研究中数据准备的关键步骤。本研究以太湖地区1:5万、1:50万、1:400万3个比例尺土壤矢量数据库为基础,分别转成不同分辨率的栅格数据;基于不同比例尺和栅格分辨率数据,研究水稻土表层(0～20cm)的土壤类型数量、面积、有机碳储量以及有机碳密度变化,并以矢量数据获得的这4个指标为基准,用相对变异百分数(VIV)来判别不同栅格数据与其对应比例尺土壤矢量数据之间的精度差异。结果表明,在4个指标的|VIV|<1%前提下,3个比例尺矢量数据分别转换成0.2km×0.2km、1km×1km、9km×9km的栅格数据,既保证数据转换过程中精度要求,又避免了数据冗余。土壤数据比例尺与栅格分辨率等精度转换对应关系可描述为y=0.0225x-0.01233(R²=0.999),对区域土壤碳循环研究具有重要参考价值。     

Altitude pattern of carbon stocks in desert grasslands of an arid land region

For estimating the altitude-distribution pattern of carbon stocks in desert grasslands and analyzing the possible mechanism for this distribution, a detailed study was performed through a series of field vegetation surveys and soil samplings from 90 vegetation plots and 45 soil profiles at 9 sites of the Hexi Corridor region, Northwestern China. Aboveground, belowground, and litter-fall biomass-carbon stocks ranged from 43 to 109, 23 to 64, and 5 to 20 g/m2, with mean values of 80.82,44.91, and 12.15 g/m2, respectively. Soil-carbon stocks varied between 2.88 and 3.98 kg/m2, with a mean value of 3.43 kg/m2 in the 0–100-cm soil layer. Both biomass-and soil-carbon stocks had an increasing tendency corresponding to the altitudinal gradient. A significantly negative correlation was found between soil-carbon stock and mean annual temperature, with further better correlations between soil-and biomass-carbon stocks, and mean annual precipitation. Furthermore, soil carbon was found to be positively correlated with soil-silt and-clay content, and negatively correlated with soil bulk density and the volume percent of gravel. It can be concluded that variations in soil texture and climate condition were the key factors influencing the altitudinal pattern of carbon stocks in this desert-grassland ecosystem. Thus, by using the linear-regression functions between altitude and carbon stocks, approximately 4.18 Tg carbon were predicted from the 1,260 km2 of desert grasslands in the study area.     

基于数字相机图像的长白山森林物候模拟

植被物候作为全球植被和陆面过程模型的重要参数,对其状态的准确描述在很大程度上决定着模型的模拟精度。温带森林作为北半球中高纬度地区主要植被类型及全球重要碳源,研究其物候期的变化将提高对区域碳通量的估算精度。本文以长白山阔叶红松林为研究对象,探讨了数字相机图像在物种尺度物候模拟及群落尺度物候模型改进方面的作用,结果如下：（1）物种尺度上,利用数字相机能获取两种植被（红松,蒙古栎）较为准确的物候期（与人工观测数据比较,绝对误差〈3d）;（2）群落尺度上,基于数字相机图像获取的冠层状态数据提高了基于气象数据的物候模型（GSI：growingseasonindex）的模拟精度（R2=0．9）,尤其是秋季物候模拟,为进一步分析群落物候的环境控制因子提供了有力手段。研究表明：数字相机不仅能够提供精确地基于物种尺度的物候数据,还可为遥感物候数据的校正提供参考,同时为生态模型中物候模块的改进及降低区域尺度碳通量模拟不确定性提供了新的思路。     

Remote-sensing data reveals the response of soil erosion intensity to land use change in Loess Plateau,China

Developing an effective approach to rapidly assess the effects of restoration projects on soil erosion intensity and their extensive spatial and temporal dynamics is important for regional ecosystem management and the development of soil conservation strategies in the future. This study applied a model that was developed at the pixel scale using water soil erosion indicators (land use, vegetation coverage and slope) to assess the soil erosion intensity in the Loess Plateau, China. Landsat TM/ETM+ images in 2000, 2005 and 2010 were used to produce land use maps based on the object-oriented classification method. The MODIS product MOD13Q1 was adopted to derive the vegetation coverage maps. The slope gradient maps were calculated based on data from the digital elevation model. The area of water soil-eroded land was classified into six grades by integrating slope gradients, land use and vegetation coverage. Results show that the Grain-To-Green Project in the Loess Plateau worked based on the land use changes from 2000 to 2010 and enhanced vegetation restoration and ecological conservation. These projects effectively prevented soil erosion. During this period, lands with moderate, severe, more severe and extremely severe soil erosion intensities significantly decreased and changed into less severe levels, respectively. Lands with slight and light soil erosion intensities increased. However, the total soil-eroded area in the Loess Plateau was reduced. The contributions of the seven provinces to the total soil-eroded area in the Loess Plateau and the composition of the soil erosion intensity level in each province are different. Lands with severe, more severe and extremely severe soil erosion intensities are mainly distributed in Qinghai, Ningxia, Gansu and Inner Mongolia. These areas, although relatively small, must be prioritised and preferentially treated.     

陕北黄土高原人工林下土壤干化原因与防治

黄土高原的退耕还林是一项史无前例的宏伟工程,成功实施该项工程对恢复该区严重恶化了的生态环境和减少黄河下游水患具重大现实意义。当前植树造林面临的需要解决的重要问题是土壤干化。土壤干化导致人工林生长不良,甚至干枯死亡,查明土壤干化原因对在植树造林工作中采取合理对策有重要作用。野外调查和资料分析显示,陕北黄土高原土壤干化原因有两个方面:一是自然原因;二是人为原因。自然原因包括该区本来降水量较少,近50 a来降水减少和气温升高3个方面。人为原因包括植被破坏,人工林密度过大,在不适于森林发育的地带进行了造林和没有遵循植被演替规律进行了造林4个方面。根据黄土高原已经发生了变化的自然条件,本文建议在陕西延安以南至关中盆地南缘的落叶阔叶林带应采取植被的自然恢复或人工草灌和稀疏的植树相结合的措施恢复森林植被,在延安至长城之间的森林草原带应以人工发展优良草灌为主,配合大间距的植树恢复森林草原植被,在长城以北以种草为主。为提高乔木成活率和确保人工林正常生长,继续采取建造鱼鳞坑等集雨工程措施是很必要的。     

中国西北地区蒸发散量计算的遥感研究

自然陆面区域蒸发散的教育处是一个复杂的问题，在利用遥感资料求取地表特征参数的基础上，首先建立了2种极端条件下（裸露地表和全植被覆盖）的裸土蒸发和全植被覆盖蒸散计算模型，然后结合植被覆盖度给出非均匀陆面条件下的区域蒸发散计算方法，实测资料验算表明该模型具有较高的计算精度，最后利用该模型对我国西北5省区的蒸发散量进行了计算，并对该研究区蒸发散的特点进行了分析。     

Distribution of soil organic carbon under different vegetation zones in the Ili River Valley,Xinjiang

We analyzed and estimated the distribution and reserves of soil organic carbon under nine different vegetation conditions including alpine meadow, meadow steppe, typical steppe, desert steppe, and temperate coniferous forest and so on, in the Ili River valley, Xinjiang according to data from field investigations and laboratory analyses in 2008 and 2009. The study results show that the soil organic carbon content in the Ili River valley varies with the type of vegetation. In the 0–50 cm soil horizon, the soil organic carbon content is the highest under the vegetation types of alpine meadow and meadow steppe, slightly lower under temperate coniferous forest and typical steppe, and the lowest under the intrazonal vegetation and desert vegetation types. The soil organic carbon content shows basically a tendency to decrease as soil depth increases under various vegetation types except in the case of the intrazonal vegetation. Similarly, the soil organic carbon density is the highest and varies little under the vegetation types of alpine meadow, meadow steppe and temperate coniferous forest, and is the lowest under the desert vegetation type. Both the soil organic carbon content and density in the topsoil of meadows in the Ili River valley are high, so protecting meadows in the Ili River valley, and especially their topsoil, should be a priority so that the potential of change in soil organic carbon in the shallow soil horizon is reduced, and this means maintenance of the stability of the soil carbon pool.     

伊犁河谷不同植被带下土壤有机碳分布

结合2008年和2009年野外实地调查与室内分析的资料,运用方差分析等方法对伊犁河谷高山草甸、草甸草原、典型草原、荒漠草原、温性针叶林等9种不同植被条件下的土壤有机碳含量分布及其储量进行了分析估算.研究结果表明:伊犁河谷土壤有机碳含量因植被类型变化而不同.在0～50 cm土层范围,高山草甸、草甸草原土壤有机碳含量较高,其次是温性针叶林和典型草原,含量最低的是隐域植被和荒漠植被土壤.除隐域植被外,各植被类型下土壤有机碳含最基本呈随着土层深度增加而降低的,变化趋势.有机碳密度同样是高山草甸、草甸草原和温性针叶林土壤有机碳密度较高且比较相近,荒漠植被下土壤有机碳密度最低.伊犁河谷草地表层土壤有机碳含量高、密度大,因此应重视对伊犁河谷草地的保护,尤其要保护草地表层土壤以降低浅层土壤有机碳发生变化的可能性,维护土壤碳库的稳定性.     

遥感在土壤碳储量估算中的应用

土壤碳库是陆地生态系统碳库的主体,在全球碳平衡中具有重要作用。从20世纪70年代早期Landsat-MSS数据的使用开始,各种传感器的卫星多光谱测量开始广泛应用于土壤调查中。首先,分析了利用遥感方法估算土壤碳储量的可行性。之后,系统分析总结了国内外在土壤碳储量研究中的常用遥感方法,即遥感影像直接估算法、植被指数法和光谱测定分析法。最后,对遥感在土壤碳储量估算研究中的发展趋势做出展望。     

Analysis of vegetation seasonality in Sahelian environments using MODIS LAI,in association with land cover and rainfall

Present-day Sahelian vegetation in a highly anthropized semi-arid region is assessed from local to regional scales, through the joint analysis of MODIS LAI (1 km² and 8-day resolutions), daily rainfall, morphopedological and land cover datasets covering the period 2000–2008. The study area is located in northwest Senegal and consists of the “Niayes” and the northwestern “Peanut Basin” eco-regions, characterized by market gardening and rain-fed cultivated crops, respectively. The objectives are i) to analyse at pixel scale LAI time series and their relation to vegetation and soil types, ii) the estimation of phenological metrics (start of season SOS, end of season EOS, growing season length GSL) and their inter-annual variability, iii) to recognize the vegetation responses to rainfall trends (mean annual precipitation, MAP; frequency of rainy events, K; combination of MAP and K, called F).Pixel-scale analyses show that LAI time series 1) describe the actual phenology (agreeing with ground-truth AGHRYMET data), and thus can be used as a proxy for Sahelian vegetation dynamics, 2) are strongly dependent on soil types. Median maps of SOS and EOS suggest an increase of the GSL from Saint-Louis to Dakar, in agreement with both the North-South rainfall gradient and the intensification of agricultural practices around Dakar. Significant correlations (R: 0.64) between annual variation coefficient of LAI and MAP for both herbaceous crops and natural vegetation are highlighted; this correlation is reinforced (R: 0.7) using the rainfall distribution factors K and F. Rainfall thresholds allowing the SOS can be defined for each type of vegetation. These thresholds are estimated at 0–5 mm, 20 mm and 40 mm for natural herbs, herbaceous crops and shrublands, respectively.If previous works revealed the close link between the MAP and the SOS, our results highlight that LAI dynamics are also controlled by rainfall distribution during the Monsoon season. In this study, climatic indicators are proposed for estimating vegetation dynamics and monitoring SOS. Coupling Earth Observation data, such as MODIS LAI, with rainfall data, vegetation and soil information is found to be a reliable method for vegetation monitoring and for assessing the impact of human pressure on vegetation degradation.     

南北过渡带1∶5万植被类型图遥感制图案例研究

编制南北过渡带地区1∶25万和典型山地1∶5万植被类型图是南北过渡带综合科学考察的主要任务之一。以往植被类型图的编制都是采用大量的地面调查来完成的,地面调查方法虽然精确,但费时费力,并且由于自然条件的限制,地面调查往往只能覆盖较小的范围。遥感数据因为其全覆盖的优势,可以很好地弥补样方调查的局限性,但目前大范围的植被类型遥感信息提取尤其是自动提取方面仍然存在一定的困难和瓶颈。本文以1∶5万太白山植被类型图的编制为例,利用多源多时相的高分辨率遥感数据,结合地面调查数据、以往的各种比例尺的植被类型图数据和森林资源调查数据等,探讨并研究基于山地垂直带谱的中大比例尺植被类型图的遥感提取方法和制图方法。研究结果表明：① 山地植被垂直带谱可以有效地支持1∶5万山区植被类型图的遥感制图。利用太白山植被垂直带谱和1∶1万数字表面模型数据（DSM）可以生成具有垂直带谱信息的地形约束因子;将地形约束因子与多源多时相高分辨率遥感数据、地面调查数据、以往的小比例尺植被类型图数据等相结合,可以有效提取各级植被类型,从而实现中大比例尺植被类型图的编制。② 典型山地1∶5万植被类型图的遥感制图基本流程为植被型组解译→植被群系组、群系、亚群系解译→植被型、植被亚型分类,采取自上而下和自下而上相结合的分类方法来分类。本文的研究成果可以为中大比例尺植被类型图的编制提供示范和科学依据。     

多尺度土地利用与土壤侵蚀

土地利用能够通过改变一系列的自然现象和生态过程影响土壤侵蚀,尺度不同,土地利用与土壤侵蚀的作用机制也会发生变化。本文针对坡面尺度、小流域／流域尺度和区域尺度,综述了不同尺度上土地利用对土壤侵蚀的影响研究。其中,在坡面尺度上,土地利用与土壤侵蚀的研究主要包括土地利用方式和土地管理措施对土壤侵蚀的影响,相应尺度上的模型有USLE／RUSLE、WEPP等;在小流域／流域尺度上,土地利用与土壤侵蚀的研究主要涉及土地利用结构和土地利用格局对土壤侵蚀的影响,相关的模型有LISEM、AGNPS、EUROSEM和SEDEM等;在区域尺度上土壤侵蚀评价研究主要是通过尺度上推和宏观因子评价的方法进行。多尺度土地利用与土壤侵蚀研究作为自然地理学研究中的热点问题,在进一步的研究中需要关注多尺度综合与尺度转换、土地利用政策效应、土地利用格局与土壤流失过程等方面的研究内容。     

基于土壤水分和气象要素的林火预报研究——以广东省为例

基于国内现行的森林火险气象指数和单因子火险贡献度模型,以及逻辑回归模型和随机森林模型,在林火预报中引入微波遥感土壤水分信息,使用MCD14DL火点数据集和地面气象观测资料对广东省不同时间尺度的林火发生概率进行预测。结果表明：逻辑回归模型和随机森林模型构建的林火预测模型显著优于现行的森林火险气象指数和单因子火险贡献度模型,预测精度提升约20%。其中,随机森林模型对林火频数的解释程度最高（两者相关系数为0.476）。此外,加入微波土壤水分信息后,相较原有的基于气象要素的林火预测模型,2种机器学习模型的预测精度均略有提升,体现了表层土壤水分信息在林火预报中的重要性。研究可为高效提取对地观测信息,以改进华南地区不同时间尺度的林火预报工作提供参考。     

Theoretical basis and technical path for the regional all-for-one customization model of black soil granary

The black soil area in Northeast China serves as a “ballast” to ensure China’s food security. Unreasonable development and utilization lead to serious black soil degradation in some areas and affect regional food production and economic and social development. In the context of the intensification of the contradiction between food supply and demand worldwide, we should pay more attention to the overall situation of regional sustainable development and seek for systematic, scientific, and economic solutions. This study establishes a regional all-for-one customization model of black soil granary on the basis of the regional system of human-land relationship, customized and accurate management, agricultural system theory, and agricultural informatization with the guidance of integrated geography concept. The aim of this regional all-for-one customization model is to systematically diagnose the key problems and leading factors of black soil degradation and determine a solution that combines the commonness and individuality of black soil protection from the perspective of multiscale linkage, multifactor coupling, and multitechnology cooperation. The regional all-for-one customization model of black soil granary integrates the two perspectives of “regional” and “customization” into the protection and comprehensive utilization of black soil for the first time. It adopts zoning, grading, and classification as the main strategy and big data and artificial intelligence as the main technical approaches. This model constructs three strategies of different scales by combining the “satellite-air-ground-network” 3D monitoring system and the all-for-one customization platform driven by big data and artificial intelligence. First, the “implementing strategies by regions” are implemented at the regional scale to formulate the regional agricultural resource allocation scheme and agricultural zoning, which can provide strategies to protect and utilize black soil effectively. Second, the “determining strategies in accordance with villages” are implemented at the village scale to formulate a black soil protection and utilization model for different categories of villages, which can promote the organic integration of black soil protection and rural revitalization. Third, a “one strategy for one field” concept is applied at the field scale to provide accurate strategies for soil restoration and yield improvement in a fixed, quantitative, and regular manner. Multiscale integrated demonstration and scheme verification of the regional all-for-one customization model of black soil granary are conducted in Qiqihar City at three scales, namely, region, village, and field, to solve the key issues in black soil protection and utilization and form a replicable and popularized system solution, thereby providing a model for the sustainable development of Chinese and global black soil agriculture. The proposed regional all-for-one customization model of black soil granary has important theoretical and practical value in promoting the high-quality development of regional agriculture and rural revitalization, and provides a demonstration model of land protection and utilization for the black soil area in China and the whole world.     

黑土粮仓全域定制模式的理论基础与技术路径

东北黑土地是中国粮食生产的“压舱石”。不合理开发利用导致部分地区黑土地退化严重,影响局部区域粮食生产和经济社会发展。在全球范围内粮食供需矛盾加剧的背景下,亟需着眼于区域可持续发展战略全局,寻求系统性、科学性和经济性的解决方案。黑土粮仓全域定制模式以地理学综合思想为指导,系统诊断黑土地退化的关键问题与主导因素,构建多尺度联动、多要素耦合、多技术协同的黑土地保护共性与个性相结合的解决方案。该模式依托“星—空—地—网”立体监测系统,结合大数据与人工智能驱动的全域定制平台,构建3个不同尺度策略：① 市域尺度实施“分区施策”,制定服务于黑土保护的农业资源优化配置方案和全域农业区划方案等;② 村域尺度实施“依村定策”,制定不同类型村庄的黑土地保护利用模式;③ 地块尺度实施“一地一策”,提供黑土保护与种植管理等土壤修复和产量提升精准策略。在齐齐哈尔市开展“市域—村域—地块”多尺度的方案验证与集成示范,以破解黑土地保护与利用难题,形成可复制可推广的系统解决方案,为中国和全球黑土地农业的可持续发展提供示范样板。     

LUCC对湿地碳储量及碳排放的影响

湿地生态系统是陆地上重要的碳库,其碳储量和排放通量的变化对全球碳循环和气候变化起着重要作用。湿地碳库的变化受到诸多因素的影响,其中土地利用/覆盖变化(LUCC)是影响湿地碳库的主要因素之一。研究表明,土地利用/覆盖变化通过影响湿地植被覆盖状况、土壤湿度、氧化还原电位、微生物活性等方面,影响着湿地的碳储存与碳排放。湿地垦殖后大量的碳被释放出来,湿地的碳汇和碳源功能发生了变化。     

滨海滩涂土壤有机碳演变驱动因子框架

通过归纳、总结前人大量的研究成果,从土壤有机碳演变的尺度约束框架、滩涂土壤有机碳的核心控制因子以及演变的驱动因素3个方面进行总结。结果表明：①目前形成的监测技术约束下的碳库研究体系,其研究的结果忽视了机理性认识的未来需要,这对于应对未来气候变化条件下的滩涂湿地碳库变化风险稍显不足; ② 滩涂土壤有机碳演变的核心控制因子有泥沙、地貌与埋藏速率、植被与农业活动。滩涂围垦后的农业活动类型与方式是滩涂开发后影响土壤有机碳演变的核心要素,远远高于自然滩涂中的自然主导因子; ③ 不同因素在不同时空尺度上会对滩涂有机碳演变起到重要影响,其中,土地利用/覆被对于有机碳的影响机制是需要重点关注的核心命题; ④ 小尺度、长时间尺度有机碳循环机制的研究需要加强,同时,综合考量要素的时空尺度特性及其技术手段的提升,更加注重过程研究对于指导未来滩涂土壤有机碳研究更具有现实意义。     

基于树轮资料重建森林净初级生产力的研究进展

森林净初级生产力(NPP)反映了森林植被固定和转换光合产物的能力,表示了森林碳汇功能强度,也是评价森林植被的演替状况以及陆地生态系统承载力的主要指标。基于遥感、清查资料等方法估算NPP已经取得了一些进展,但传统的研究方法受限于观测(调查)年份,难以有效获取长时间尺度的区域森林种群或群落年际NPP。树轮资料较为有效地反映了历史时期森林植被的逐年生长状况,从而在估算高精度且长时间尺度区域森林种群及群落NPP中具有较大的优势。本文对利用树轮资料重建区域森林NPP的两种主要方法进行了总结,第一种方法主要是依据树轮资料提供的立木逐年生长量进行生物量以及NPP的估算;第二种方法则是利用树轮指数与其他植被指数的相关性间接反演过去时间段区域森林群落NPP的变化。上述两种估算NPP的方法均存在较多的限制性,未来利用树轮资料估算NPP的时空精度仍有待提高。     

深层土壤有机碳的来源、特征与稳定性

深层土壤有机碳占土壤剖面总有机碳的一半以上．最近发现表层和深层土壤有机碳动态及其调控因素并不相同,这对准确评估土壤固碳潜力具有重要影响．深层土壤有机碳主要来源午根系、根系分泌物、可溶性有机碳、土壤微生物及生物扰动作用,这些来源的相对重要性可能取决于气候、土壤、植被类型和土地利用方式;与表层土壤相比,深层土壤有机碳一般具有较高的稳定性同位素C／N、平均驻留时间长、矿化速率低和高稳定性．深层土壤有机碳的生物化学稳定性、化学稳定性和物理保护三种稳定性机制的相对贡献并不清楚．未来应加强环境变化和人类干扰对深层土壤有机碳动态及稳定性影响的研究．     

粤北岩溶山地土壤地下漏失程度评价指标构建探讨

为了弥补岩溶区地下土壤漏失程度评价指标体系空白,基于在粤北岩溶区连南县多个岩溶山地采矿断面、公路修建断面实地调查获得的56条裂隙、40个漏斗和多个孔穴的调查数据,以及粤北岩溶丘陵、峰林区英德市岩背镇、九龙镇等40多个样方的地表景观实地调查资料,探讨构建岩溶地下土壤漏失程度评价指标与标准。首先,充分考虑了土壤漏失途径、阶段、各指标的关联性、断面调查数据及数据采集的可操作性等,将定性指标与量化指标结合,采用裂隙、洞穴、漏斗3个一级指标和与溶洞连通度、断面比、密度,洞穴类型、数量、位置,漏斗深宽比、形状、周边裂隙发育情况9个二级指标,构建了岩溶区地下漏失无漏失、轻度漏失、中度漏失、重度漏失分级标准;其次,将基岩、地貌、地形、岩石裸露率、植被结构、类型、盖度和土壤深度等地表景观特征作为地下漏失程度的辅助参考指标,使地下漏失评价与地表石漠化程度评价能够有机结合,共同形成岩溶环境评价的整体系统。