基于TM和ASTER的植被指数建模性能对比

在对TM、ASTER数据进行多种植被指数生成的基础上,结合研究区48个杨树样地的测树因子数据,分别就杨树单位面积蓄积量、杨树平均高和杨树年龄进行了遥感统计建模研究,通过植被指数及其变形式共65个特征对比结果表明,由ASTER数据派生的植被指数中RVI3(0.5)对于上述3个测树因子的估测性能最好,由TM数据导出的植被指数中则是DVI2对上述3个测树因子回归效果最好,从建模性能上分析,ASTER数据生成的植被指数要优于TM数据生成的植被指数。     

海南万宁神州半岛自然植被类型及其特征分析

以海南省万宁市神州半岛区域现有植被作为调查对象,采用路线调查和样方调查相结合的野外植被调查方法,研究该地区植被类型的情况。依据《中国植被》的植被分类原则把该半岛的自然植被划分为3个植被型组,6个植被型,16个群系,并对各个植被类型的基本特征给予较为详细的介绍。     

祁连山主要植被下土壤对降雨分配的研究

以祁连山主要植被类型下的土壤为研究对象，对其物理性质、渗透率、渗流速度及其地表径流进行研究，结果表明：土壤的物理性质决定着土壤对降雨的分配情况，有林地将降雨全部分配成入渗水，而牧坡草地根据降雨强度和持续时间不同将降雨按不同的比例分配成入渗水和地表径流水2部分，不同植被的土壤蓄水量也各不相同。林地土壤100cm土层蓄水量为320．2～509．7mm，比牧坡草地高5．4％～60．47％，灌丛云杉和高山灌丛土壤蓄水量最高；轻度放牧的草地土壤蓄水量比强度放牧的高33．48％。     

煤矸石山植被生态恢复机械化施工技术的探索——以山西中部某自燃矸石山植被生态恢复工程为例

根据现有的矸石山自燃发生理论和防治技术原理以及困难立地条件下植被生态恢复理论,结合十一五国家科技支撑计划项目专题陡坡绿化喷播技术研究与开发的研究内容,在矸石山植被生态恢复工程实践中探索出一套技术装备、两类泥浆配方、多种喷射施工工艺的机械化综合治理技术方案,将矸石山自燃防范措施与高陡边坡植被重建技术有机地结合起来,创造出一种符合循环经济要求、成本低廉、可机械化高效率施工的方法。     

Effects of early cleaning on young Picea abies stands

Young Norway spruce stands (Picea abies [L.] Karst) are typically cleaned of non-crop species on one or several occasions during young stand stage. In order to objectively evaluate the perceived benefits of early cleaning (EC), we studied the effects of EC on three study sites 2–2.5 years after receiving the treatment. Experiments were established as a randomised complete block design with a total of 40 blocks. Although height growth and mortality were not significantly affected, we found that EC substantially reduced canopy competition and, consequently, the mean diameter of released spruce grew 21–32% faster depending on the site. Furthermore, non-crop trees that were cleared during EC had fewer sprouts in two of the three sites and the sprouts were substantially smaller than the corresponding non-crop trees on control in all sites. EC can reduce the cost of pre-commercial thinning because EC reduced the estimated time needed for subsequent management by 18–49%. Thus, EC offers forest owners and managers an economically viable young stand management option.     

不同固沙植被下沙丘土壤水分动态比较

以毛乌素沙地覆盖度>90%的油蒿、50%～60%的沙柳、35%～40%的樟子松固定沙丘为研究对象,流动沙丘为对照,采用自动监测系统实时监测降雨、0～200 cm土壤含水量及200 cm以下渗漏量,分析5—11月不同固沙植被下沙丘土壤水分动态差异,以期为固沙植被稳定性评价提供参考。结果表明:较低覆盖度樟子松与高盖度油蒿、沙柳相比更具固沙优势。3种固沙植被表层0～30 cm土壤水分受降雨影响大,对>20 mm降雨均产生响应;60～200 cm土壤水分时间变化特征存在差异,樟子松与对照变化趋势一致,油蒿和沙柳仅对40 mm降雨产生响应;0～200 cm土壤水分垂直变化没有相同规律,变异性较大,樟子松变幅最大,为(5.03±3.09)%;深层渗漏特征基本一致,均有极少量水分渗漏到200 cm以下。     

Effects of agriculture,climate, and policy on NDVI change in a semi-arid river basin of the Chinese Loess Plateau

In 1999, the Grain for Green Project was implemented by the Chinese government. Since then, the vegetation of Zuli River Basin, a semi-arid river basin of the Chinese Loess Plateau, has been greatly changed. Clearly understanding the impact of natural and artificial factors on vegetation change is important for policy making and ecosystem management. In this study, spatio-temporal variations in vegetation cover in Chinese Zuli River Basin during 1999–2016 were investigated using Landsat normalized difference vegetation index (NDVI) data. Analyses of several indicators, including changes in NDVI in different slopes and land use changes and the relationships between climatic factors and NDVI change, were presented to quantitatively evaluate the effects of agriculture, climate, and policy on NDVI change. The NDVI in the Zuli River Basin increased during the study period, and the main contributors to this change were forest in 1999–2011, cropland, abandoned farmland, and grassland in 2009–2016, and land with slopes ≤ 15°. Land with slope > 15°, where the “Project” was implemented, slightly contributed to the increase in regional NDVI. In 1999–2011, the project (?98.16%) combined with climate change (?68.18%) showed negative effects on the increase in NDVI in the Zuli River Basin, but agriculture (22.28%) played a positive role in increasing this index. In 2009–2016 and 1999–2016, the project (38.45% and 35.25%, respectively), the project combined with climate change (49.83% and 46.30%, respectively), agriculture (18.61% and 23.30%, respectively), promoted increases in NDVI in the basin.     

湘西不同植被类型土壤重金属分布及相关性研究

【目的】探讨湘西地区不同植被下土壤环境的状况,揭示土壤富集重金属元素的规律。【方法】以湖南湘西地区针叶林、针阔混交林、阔叶林和灌木林4种森林土壤不同层次(0~15 cm和15~30 cm)的Cd、Cu、Ni、Pb、Zn为研究对象,采用单因素分析法和主成分分析法分析重金属分布及相关性。【结果】不同植被下土壤中5种重金属含量的变异系数为0.18%~0.69%,由大到小的排列顺序为Cu>Zn>Ni>Pb>Cd。主成分分析表明Cu和Cd在PC1中有较大的荷载值,在PC2中有中等的荷载值。各因素相关性分析结果显示,灌木林土壤容重与Zn之间存在显著的负相关性,针叶林土壤容重与Cu之间存在显著的正相关性;灌木林土壤有机质与Cd之间有显著的正相关性,针叶林土壤pH值与Ni和Zn之间有显著的正相关性;针阔混交林土壤pH值与Pb、Cu和Ni之间存在显著的正相关性,灌木林土壤重金属含量之间的相关性较显著。【结论】湘西地区不同植被类型土壤重金属含量的垂直分布规律存在差异,表现为针阔混交林的上层土壤中重金属含量均低于下层土壤,常绿阔叶林的上层土壤中重金属含量均高于下层土壤,而针叶林和灌木林土壤中重金属含量无差异性变化;湘西地区土壤容重、有机质、坡度、pH值、土层厚度对Cd含量的影响较大,海拔对Pb、Ni和Cu的影响较大,坡度对Ni的影响较大;湘西地区灌木林中重金属来源相同的可能性相较于其他3种植被类型更大。     

Relationships of Spectral Reflectance with Plant Tissue Mineral Elements of Common Bean (Phaseolus Vulgaris L.) Under Drought and Salinity Stresses

ABSTRACT

Salinity and drought stresses are critical for Phaseolus vulgaris L. growth and development. They affect plants in various ways, including tissue mineral element content. Micro- and macro-elements in leaves of Phaseolus vulgaris L. (cv. ‘Blue lake’ and cv. ‘Terli’) subjected to deficit irrigation and salinity treatments were investigated, both analytically and with regards to their effect on the leaves’ spectral reflectance. B (boron), K (potassium), Mn (manganese), Na (sodium), Si (silicon) and Zn (zinc) appeared to be influenced by stress factors, mainly responding to salinity increase. The leaf spectral reflectance of the plants appeared to be significantly correlated with most of the elements under investigation. Multivariate regression identified a relationship of the reflectance at particular regions of the spectrum with phosphorus and NDVI (normalized difference vegetation index) and indicated a significant correlation with B, Fe (iron), K, Mn, P (phosphorus) and Zn. Moreover, customized spectral indices, exhibiting significantly high correlation with B, Fe, K, Mg (magnesium), Mn, Na, P, Zn and N (nitrogen), were developed.     

基于USLE模型的长株潭城市群生态绿心区水土流失研究

[目的]研究2018年长株潭(长沙市—株州市—湘潭市)城市群生态绿心区最佳植被覆盖和水土流失状况,为区域综合治理提供理论依据。[方法]运用GIS和RS技术,以长株潭区域降雨、土壤、地形、土地利用等数据为基础,采用归一化植被指数(NDVI)模型和USLE国际通用土壤流失方程为优选模型。[结果]长株潭绿心区总面积为52 287 hm~2,整体植被状况较好,高覆盖度(75%～100%)面积最大,占绿心区总面积一半以上,为26 598.40 hm~2;中低覆盖度(30%～40%)面积最小,占区域总面积的8.61%,为4 501.91 hm~2。长株潭城市群生态绿心区总侵蚀(不含微度)面积为3 654.24 hm~2,占总面积的6.99%。湘潭市侵蚀比重最高,为8.51%,长沙市次之,为6.67%,株洲市侵蚀总比例最小,为5.68%。工程建设用地在禁止开发区、限制开发区和控制建设区的侵蚀面积分别为963.92,310.74,735.11 hm~2。[结论]受人为因素、城市建设、产业分布等影响,长株潭城市群生态绿心区覆盖度空间呈现西部低,中东部高的格局,工程建设是造成绿心区土壤侵蚀的主要原因。