基于Sentinel-2A影像估算黄土高原光合/非光合植被盖度

以黄土高原为例,基于Sentinel-2A影像和地表实测地物光谱与盖度数据,分别在模拟混合场景和野外实测混合场景中,评估4种NPV植被指数(NPVI):SWIR32(短波红外比值指数)、DFI(干枯燃料指数)、STI(土壤耕作指数)和NDTI(归一化差异耕作指数)估算非光合植被盖度(f_NPV)的有效性,并利用优化法确定线性光谱混合模型的关键参数端元值,估算研究区光合植被盖度(f_PV)和f_NPV.结果表明,在模拟混合场景下,4种NPVI与模拟f_NPV线性关系的R²是0.365~0.750;在野外场景中,其相关性均有一定程度的降低,R²是0.147~0.211.研究构建NDVI-SWIR32像元三分模型,并确定了最优端元值:NDVI_PV=0.80,SWIR32_PV=0.60, NDVI_NPV=0.17,SWIR32_NPV=0.77,NDVI_BS=0.23,SWIR32_BS=0.99.模型对f_PV和f_NPV估算精度R²分别是0.817和0.463,NSE分别是0.806和0.458.利用该模型估算全区2019年4、8和12月的平均f_PV和f_NPV,分别为20.3%和59.2%,48.6%和33.1%,10.7%和59.0%.随时间推移,f_PV从东南向西北不断增加而后减小,f_NPV与之相反. NDVI-SWIR32模型可以用于Sentinel-2A影像数据来监测黄土高原地区f_PV和f_NPV的时空动态变化.     

An evaluation of procedures for the digestion of soils and vegetation from areas with metalliferous pollution

Various digestion or extraction processes are available for the determination of trace metals in environmental samples using diverse analytical techniques. Our research examines the most efficient and reproducible methods of digestion utilising readily available laboratory equipment, reagents and instrumentation. Extraction procedures reported in over 80 recent research works were considered and the most common methods were critically evaluated. Thus nitric acid, nitric acid/perchloric acid, aqua regia, nitric acid/hydrogen peroxide and microwave-assisted methods were investigated using soil and leaf samples collected adjacent to three old metalliferous workings. Analysis was carried out using Flame Atomic Absorption Spectrometry and the results were evaluated. Differences in efficiency of extraction relative to specific metals and different substrates are highlighted and recommendations made for a digestion procedure suitable for environmental samples. Aqua regia produced the most accurate, efficient and reproducible results; we consider methods of improving both of these factors and sample preparation. Our recommended methodology has applications in environmental surveys, environmental geology, environmental toxicology, geochemistry and provides a means of obtaining meaningful and reliable results for the determination of metals present in soils, minerals and vegetation.     

Evaluating complementary networks of restoration plantings for landscape‐scale occurrence of temporally dynamic species

Multibillion dollar investments in land restoration make it critical that conservation goals are achieved cost‐effectively. Approaches developed for systematic conservation planning offer opportunities to evaluate landscape‐scale, temporally dynamic biodiversity outcomes from restoration and improve on traditional approaches that focus on the most species‐rich plantings. We investigated whether it is possible to apply a complementarity‐based approach to evaluate the extent to which an existing network of restoration plantings meets representation targets. Using a case study of woodland birds of conservation concern in southeastern Australia, we compared complementarity‐based selections of plantings based on temporally dynamic species occurrences with selections based on static species occurrences and selections based on ranking plantings by species richness. The dynamic complementarity approach, which incorporated species occurrences over 5 years, resulted in higher species occurrences and proportion of targets met compared with the static complementarity approach, in which species occurrences were taken at a single point in time. For equivalent cost, the dynamic complementarity approach also always resulted in higher average minimum percent occurrence of species maintained through time and a higher proportion of the bird community meeting representation targets compared with the species‐richness approach. Plantings selected under the complementarity approaches represented the full range of planting attributes, whereas those selected under the species‐richness approach were larger in size. Our results suggest that future restoration policy should not attempt to achieve all conservation goals within individual plantings, but should instead capitalize on restoration opportunities as they arise to achieve collective value of multiple plantings across the landscape. Networks of restoration plantings with complementary attributes of age, size, vegetation structure, and landscape context lead to considerably better outcomes than conventional restoration objectives of site‐scale species richness and are crucial for allocating restoration investment wisely to reach desired conservation goals.     

1982~2010年洞庭湖流域植被指数的变化及其与气候因子的相关分析

基于GIMMS 3 g、PAL、LTDR V3、FASIR及MODIS 5种不同的遥感影像数据,及洞庭湖流域30个气象站点的气温、降水和日照时数月值数据,采用逐像元一元线性回归模型,对比分析了在不同数据集背景下的植被变化趋势,并基于时间序列长度以及数据精度的考虑,选择GIMMS 3 g作为研究洞庭湖流域植被覆盖变化的基础数据集,进而利用相关系数和多元线性回归分析模型探讨流域植被覆盖变化与降水、气温、日照时数的关系。结果表明:(1)过去29 a间,流域GIMMS 3 g NDVI在时空尺度上均以增加趋势为主,1998~2000年出现最大的降低,以植被覆盖较好的山区减少最快;(2)去除年际变化趋势和季节性影响的NDVI与同期降水量距平、累积3个月气温距平值及同期日照时数距平值相关性程度最高;(3)统计意义上,降水量、气温和日照时数解释洞庭湖流域植被月NDVI变化的37%,日照时数对该流域NDVI变化的影响最大,其次为降水和气温;(4)在时间和空间范畴,生长季NDVI可以作为反映洞庭湖流域森林覆盖率变化的指标。     

俄罗斯布里亚特共和国植被NPP对气候变化的时空响应

以遥感和气象数据为主要数据源,运用改进后的CASA模型,估算了俄罗斯布里亚特共和国2000-2008年的植被NPP,并验证了模型的精度,分析了该地区植被NPP的时空变化规律及其与气候因子的相互关系。研究结果表明:时间上,植被NPP年际上呈现为在波动中上升,月份上表现为先升后降的趋势;空间上,植被NPP随经度的增加而增大,随纬度的增加而减小,由西南到东北逐渐递增的趋势;不同植被类型的NPP也不同,从大到小依此为:草地与沼泽林>森林>森林与草原>稀树草原>高山植被。其变化主要受气温和降水量变化的作用。改进后的CASA模型运用于布里亚特共和国植被NPP估算的精度较高。该研究对中国北方植被NPP估算和生态跨境研究具有借鉴意义。     

黑河下游重要生态功能区植被防风固沙功能及其价值初步评估

在遥感和地理信息系统支持下,利用风蚀输沙率模型,对1986-2006年期间黑河下游重要生态功能区植被的防风固沙功能及其价值进行了估算。结果表明: 1986、1996和2006年研究区植被防风固沙量分别为9 056×10⁴ t、4 972×10⁴ t和6 296×10⁴ t;不同植被覆盖的土地类型中,有林地防风固沙能力最强,其次为灌木林,低覆盖度草地最小;1986-2006年,区域植被生态系统的防风固沙功能呈现出先减弱后增强的趋势;植被防风固沙功能的空间分布差异性明显,防风固沙能力较高的区域主要零散分布在河流、湖泊沿岸等植被覆盖状况较好的区域;研究区域植被生态系统的防风固沙功能价值较大,2006年达到53.1×10⁸元,明显高于当年研究区的GDP。     

Modelling the impact of thermal adaptation of soil microorganisms and crop system on the dynamics of organic matter in a tropical soil under a climate change scenario

No consensus currently exists about how climate change should affect the status of soil organic matter (SOM) in the tropics. In this study, we analyse the impact of climate change on the underlying mechanisms controlling SOM dynamics in a ferralsol under two contrasting tropical crops: maize (C4 plant) and banana (C3 plant). We model the effect of microbial thermal adaptation on carbon (C) mineralisation at the crop system scale and introduce it in the model STICS, which was previously calibrated for the soil-crop systems tested in this study. Microbial thermal adaptation modelling is based on a reported theory for thermal acclimation of plant and soil respiration. The climate is simulated from 1950 to 2099 for the tropical humid conditions of Guadeloupe (French Antilles), using the ARPEGE model and the IPCC emission scenario A1B. The model predicts increases of 3.4 °C for air temperature and 1100 mm yr⁻¹ for rainfall as a response to an increase of 375 ppm for atmospheric carbon dioxide concentration in the 2090-2099 decade compared with the 1950-1959 decade. The results of the STICS model indicate that the crop affects the response of SOM to climate change by controlling the change in several variables involved in C dynamics: C input, soil temperature and soil moisture. SOM content varies little until 2020, and then it decreases faster for maize than for banana. The decrease is weakened under the hypothesis of thermal adaptation, and this effect is greater for maize (−180 kg C ha⁻¹ yr⁻¹ without adaptation and −140 kg C ha⁻¹ yr⁻¹ with adaptation) than for banana (−60 kg C ha⁻¹ yr⁻¹ and −40 kg C ha⁻¹ yr⁻¹, respectively). The greater SOM loss in maize is mainly due to the negative effect of warming on maize growth decreasing C input from residues. Climate change has a small effect on banana growth, and SOM loss is linked to its effect on C mineralisation. For both crops, annual C mineralisation increases until 2040, and then it decreases continuously. Thermal adaptation reduces the initial increase in mineralisation, but its effect is lower on the final decrease, which is mainly controlled by substrate limitation. No stabilisation in SOM status is attained at the end of the analysed period because C mineralisation is always greater than C input. Model predictions indicate that microbial thermal adaptation modifies, but does not fundamentally change the temporal pattern of SOM dynamics. The vegetation type (C3 or C4) plays a major role in SOM dynamics in this tropical soil because of the different impact of climate change on crop growth and then on C inputs.     

东江流域土壤、植被和悬浮物的碳、氮同位素组成

碳、氮同位素值对监测流域植被组成、环境变迁是一种非常有效的指标,为中短时间尺度环境变化研究提供了一条新的途径。以亚热带山区的东江流域为例,以流域内的植被、土壤及水体悬浮物为研究对象,应用其有机质同位素组成（δ13C、δ15N）,揭示流域植被的成分和环境变化的信息。研究发现：东江流域土壤碳同位素、C/N比值差值不大;植被的氮同位素差值明显,C/N比值差异较大。对东江流域悬浮物δ13C值近20年的监测表明：其值在早期逐年升高,近10年来转趋稳定并呈明显下降趋势,变化范围在-17.8‰～-26.1‰之间,反映了该流域植被破坏和恢复的过程以及土壤侵蚀状况的变化趋势。     

焚烧源挥发性重金属的排放对周边土壤和植被污染的研究进展

城市生活垃圾是一种成分复杂的混合废物,其中含有数量相当可观的重金属,采用焚烧法处理城市生活垃圾时,会有大量重金属因为高温而挥发进入烟气,一部分富集于焚烧飞灰中,而有少部分重金属因其挥发性较大而排放于大气中,最终随大气及雨水沉降而进入土壤和植被中,从而会对焚烧厂周边生态环境造成严重的危害。为了了解焚烧源挥发性重金属（汞（Hg）、镉（Cd）、铅（Pb）和砷（As））的排放对焚烧厂周边土壤和植被生态环境的污染状况,对近年来国内外学者在相关方面的研究状况进行了详细的文献综述,结果发现：国内学者对于焚烧源挥发性重金属的研究多限于焚烧中挥发性Hg对焚烧厂周边土壤的污染的调查研究,而对于焚烧源Cd、Pb、As对周边土壤和植被污染的调查研究相对较少;而国外学者已有的关于垃圾焚烧源重金属（Hg、Cd、Pb、As）对土壤和植被的污染研究只停留在重金属在土壤中的总的浓度和存在形态的研究,而对于挥发性重金属在焚烧源周边土壤和植被中的迁移转化规律方面的研究很缺乏,对于重金属污染物在土壤和植被中的蓄积及迁移转化规律研究较少。文章指出今后的研究应加强对挥发性重金属在焚烧厂周边土壤中的污染特征及其在土壤层以及植被中的蓄积总量和迁移转化机理的研究,这对于焚烧源挥发性重金属的污染防治以及对已被挥发性重金属污染的土壤和植被的生态修复具有重要的意义。     

库布齐沙漠自然植被与人工植被土壤水盐的空间异质性比较研究

干旱半干旱地区土壤水盐的空间分布对土地利用和生态恢复具有重要作用。运用传统统计学和地统计学对库布齐沙漠5种自然植被和5种人工植被0～10和10～20cm深度土壤水分和盐分的空间异质性进行了小尺度比较分析。结果表明：9种群落的土壤水盐平均值下层大于表层,且盐分的空间相关性较水分更高;人工植被土壤水分（CV=5.3%～22.7%）和盐分（CV=15.7%～51.2%）具有空间分布均匀、层间差异不明显等特征,而自然植被水分（CV=9.9%～32.6%）和盐分的（CV=26.9%～180.0%）却与之相反;小尺度上,人工植被土壤不同层间的水分关系、盐分关系以及水盐关系可能随建植时间的增加会越来越不明显,格局强度将不断减弱,这也极有可能改变大尺度上的水盐运移状况,进而影响研究区生态系统的稳定性和安全性。