共查询到20条相似文献，搜索用时 0 毫秒
1.
Florian Zellweger Andri Baltensweiler Patrick Schleppi Markus Huber Meinrad Küchler Christian Ginzler Tobias Jonas 《Ecology and evolution》2019,9(16):9149-9159
Light is a key driver of forest biodiversity and functioning. Light regimes beneath tree canopies are mainly driven by the solar angle, topography, and vegetation structure, whose three‐dimensional complexity creates heterogeneous light conditions that are challenging to quantify, especially across large areas. Remotely sensed canopy structure data from airborne laser scanning (ALS) provide outstanding opportunities for advancement in this respect. We used ALS point clouds and a digital terrain model to produce hemispherical photographs from which we derived indices of nondirectional diffuse skylight and direct sunlight reaching the understory. We validated our approach by comparing the performance of these indices, as well as canopy closure (CCl) and canopy cover (CCo), for explaining the light conditions experienced by forest plant communities, as indicated by the Landolt indicator values for light (Llight) from 43 vegetation surveys along an elevational gradient. We applied variation partitioning to analyze how the independent and joint statistical effects of light, macroclimate, and soil on the spatial variation in plant species composition (i.e., turnover, Simpson dissimilarity, βSIM) depend on light approximation methodology. Diffuse light explained Llight best, followed by direct light, CCl and CCo (R2 = .31, .23, .22, and .22, respectively). The combination of diffuse and direct light improved the model performance for βSIM compared with CCl and CCo (R2 = .30, .27 and .24, respectively). The independent effect of macroclimate on βSIM dropped from an R2 of .15 to .10 when diffuse light and direct light were included. The ALS methods presented here outperform conventional approximations of below‐canopy light conditions, which can now efficiently be quantified along entire horizontal and vertical forest gradients, even in topographically complex environments such as mountains. The effect of macroclimate on forest plant communities is prone to be overestimated if local light regimes and associated microclimates are not accurately accounted for. 相似文献
2.
Noëlle Klein Coralie Theux Raphaël Arlettaz Alain Jacot Jean&#x;Nicolas Pradervand 《Ecology and evolution》2020,10(23):13518
A growing food demand and advanced agricultural techniques increasingly affect farmland ecosystems, threatening invertebrate populations with cascading effects along the food chain upon insectivorous vertebrates. Supporting farmland biodiversity thus optimally requires the delineation of species hotspots at multiple trophic levels to prioritize conservation management. The goal of this study was to investigate the links between grassland management intensity and orthopteran density at the field scale and to upscale this information to the landscape in order to guide management action at landscape scale. More specifically, we investigated the relationships between grassland management intensity, floral indicator species, and orthopteran abundance in grasslands with different land use in the SW Swiss Alps. Field vegetation surveys of indicator plant species were used to generate a management intensity proxy, to which field assessments of orthopterans were related. Orthopteran abundance showed a hump‐shaped response to management intensity, with low values in intensified, nutrient‐rich grasslands and in nutrient‐poor, xeric grasslands, while it peaked in middle‐intensity grasslands. Combined with remote‐sensed data about grassland gross primary productivity, the above proxy was used to build landscape‐wide, spatially explicit projections of the potential distribution of orthopteran‐rich grasslands as possible foraging grounds for insectivorous vertebrates. This spatially explicit multitrophic approach enables the delineation of focal farmland areas in order to prioritize conservation action. 相似文献
3.
黄瓜砧用白籽南瓜对不同盐胁迫的耐性评价 总被引：1，自引：0，他引：1
采用营养液栽培,研究Ca(NO3)2和NaCl胁迫对黄瓜嫁接用砧木南瓜幼苗生长和抗氧化酶活性的影响,并用隶属函数法综合评价其耐盐性.结果表明： 低浓度盐30 mmol·L-1Ca(NO3)2和等渗的45 mmol·L-1 NaCl处理促进砧木幼苗生长;高浓度盐60、120 mmol·L-1Ca(NO3)2和等渗的90、180 mmol·L-1NaCl胁迫下,各砧木幼苗的生长和抗氧化酶系统均受到不同程度的抑制,其中,‘青砧1号’的盐害指数最小,生物量及超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)活性的下降幅度以及相对电导率的上升幅度均小于其他砧木.高盐Ca(NO3)2胁迫下,各砧木SOD、POD和CAT酶活性均高于等渗的NaCl,而盐害指数和相对电导率低于NaCl,表明Ca(NO3)2对砧木南瓜幼苗生长的危害小于NaCl.4个砧木品种的耐盐性顺序为‘青砧1号’>‘佐木南瓜’>‘丰源铁甲’>‘超霸南瓜’. 相似文献
4.
城市公园和郊区公园生物多样性评估的指标 总被引：17，自引：0，他引：17
随着城市化进程的加快,城市的生物多样性不可避免地受到城市化的各种影响,城市及其郊区的生物多样性保护越来越受到人们的重视。城市公园与郊区公园中往往具有高度多样化的生境,并保存着某些自然植被片段和动物物种,那里的生物多样性较高。可见,在城市和郊区的生物多样性保护中,公园生物多样性的保护是一个非常关键的环节,而对其生物多样性的评估又是有效保护的基础。目前,我国生物多样性评估方面的研究工作多集中于物种水平,而对生境的研究较少,但实践证明,保护生境比保护物种更为重要。本文介绍了比利时学者Hermy & Cornelis在比利时西佛兰德省的Loppem市立公园的保护实践中构建的一种对城市公园和郊区公园中的生物多样性进行评估的方法。该方法从两个方面展开：生境多样性和物种多样性。在生境水平上,首先对各种生境单元进行分类,这些单元被分为面状、线状和点状要素。针对每种要素,分别计算了Shannon-Wiener多样性指数和饱和度指数。饱和度指数是实际的多样性指数与最大可能的多样性指数之比。在物种水平上,使用了物种数、Shannon-Wiener多样性指数和饱和度指数来评估公园中的高等植物、蝴蝶、两栖动物和饲养的鸟类等物种。这样,就获得了20个生物多样性指标,根据这些指数就可以对Loppem市立公园内的生物多样性进行评估。结合我国生物多样性评估工作的实际要求,文章最后对上述方法进行了讨论,指出该方法对我国公园的生物多样性评估工作具有借鉴意义,但在运用时各地需要结合本地的实际情况。 相似文献
5.
Arturo Sanchez‐Azofeifa Jose Antonio Guzmán Carlos A. Campos Saulo Castro Virginia Garcia‐Millan Joanne Nightingale Cassidy Rankine 《Biotropica》2017,49(5):604-619
The fields of tropical biology and conservation face significant transformations due to rapid technological developments in remote sensing. Other fields (e.g. Archeology) are experiencing this momentous change even more rapidly. In this article, we review some of the challenges that the fields of tropical biology and conservation face during the first quarter of the twenty‐first century from the perspective of various remote sensing technologies, and discuss the transformations that they may bring to these disciplines. In addition, we review two emerging technologies driving paradigm changes in the nexus of ecology, remote sensing, and analytics: near‐surface remote sensing and Wireless Sensor Networks. These two technologies, arising from the eScience paradigm, offer unique opportunities to integrate field observations at hyper‐temporal and spatial resolutions that were not possible as recently as 5 years ago. 相似文献
6.
《Plant Ecology & Diversity》2013,6(4):343-351
Background: Species-rich Nardus stricta grasslands are a priority habitat for conservation in Europe. They typically occur on siliceous substrates and less frequently are found on calcareous bedrock.Aims: The present paper aimed to identify the environmental factors (i.e. bedrock type, topographic, and climatic factors) that are related with community diversity and to assess if differences in plant diversity between N. stricta communities on calcareous and siliceous bedrock occur. We hypothesised that Nardus grasslands on calcareous bedrock hosted a higher vascular plant diversity than those on siliceous bedrock.Methods: Based on 579 vegetation surveys carried out in the south-western Alps, we assessed vascular plant diversity (species richness, Shannon diversity, and Pielou’s equitability index) of species-rich Nardus grasslands and compared it between N. stricta communities on calcareous and siliceous bedrock.Results: Elevation was identified as the main factor related to species composition, while species diversity was mostly related to mean annual precipitation and bedrock type. Species richness, Shannon diversity, and Pielou’s equitability index were higher within the communities on calcareous rather than on siliceous bedrock and a total of 89 and 34 indicator species were detected, respectively.Conclusions: Based on our results, we suggest to protect primarily, as a habitat of priority interest, N. stricta grasslands on calcareous substrates for the higher vascular plant diversity hosted. 相似文献
7.
生态多样性是诸如物种、景观元和HLZ生态系统等研究对象丰富性和空间分布均一性的综合.理论分析表明,Shannon模型存在诸多理论的缺陷和应用的局限性.例如,Shannon模型具有大样本需求,不能反映空间尺度信息,也不能表达丰富性方面的多样性信息.本文引进Scaling生态多样性模型,以新疆维吾尔族自治区阜康市为案例区进行模拟研究.结果表明,随着空间分辨率逐渐粗化,Shannon模型模拟结果缺乏规律性,而Scaling生态多样性模型模拟得到的景观元多样性在30 m×30 m～150 m×150 m的空间尺度范围内不受空间分辨率的影响;在150 m×150 m～480 m×480 m的空间尺度范围内,随着空间分辨率的逐渐粗化,景观元多样性的模拟结果严格递减. 相似文献
8.
人类活动导致全球范围内生物多样性丧失日趋严重。物种多样性是研究最为深入以及最贴近生物多样性管理的层次。物种多样性的研究往往受到多时空尺度生态过程的影响, 传统物种多样性调查方法受到人力物力影响, 局限性大, 物种多样性的研究与管理亟需整合不同来源的数据。遥感技术从传统的光学遥感阶段发展到不同平台、不同维度相结合的多源遥感阶段, 并逐渐进入以高空间分辨率和高光谱为特征、以激光雷达为前沿发展方向的综合遥感阶段。遥感技术因为其监测范围广、能监测人迹罕至地区以及长期可重复等特性, 为研究不同时空尺度的生态学科学问题提供了更新更优的研究手段。本文围绕种群动态、种间关系与群落多样性、功能属性及功能多样性以及生物多样性保护管理等生物多样性研究热点问题, 系统地论述了航空航天遥感技术在物种多样性研究与保护领域的应用, 总结了航空航天遥感技术在研究与物种多样性有关的主要生态学问题中的机遇与挑战。我们认为航空航天遥感技术利用多光谱甚至高光谱与激光技术从空中监测物种多样性, 从不同视角、基于不同光源提供了物种多样性不同侧面的信息, 能够减小地面调查强度, 在大范围和边远地区的物种多样性调查研究中有着至关重要的作用。依据光谱特性的物种判别以及依据激光雷达的三维结构量测将促进生物多样性的研究与管理, 加强遥感学家和生物多样性研究者的沟通交流将有助于促进不同时空尺度的生物多样性与遥感技术的结合。 相似文献
9.
In search of the best correlates for local organismal biodiversity in cultivated areas 总被引：10，自引：0，他引：10
Based on a transect consisting of 19 identical trap stations in cultivated areas and seminatural habitats, the correlation of species numbers of higher taxonomic groups with total species numbers of flowering plants and arthropods per trap site was calculated. A total of 191214 invertebrate specimens and 2221 species of plants and animals were analysed. Considering the value of the correlation coefficient R2 as well as the effort for sorting and identification, a top twenty list of indicator groups favours Heteroptera, flowering plants, Symphyta and aculeate Hymenoptera as the best choice for biodiversity evaluation. In general, flight traps rated better than pitfall traps. In most taxonomic groups, diversity indices such as the Shannon and the Simpson index were only weakly correlated with local species diversity. 相似文献
10.
11.
Riparian zones are central landscape features providing several ecosystem services and are exceptionally rich in biodiversity. Despite their relatively low area coverage, riparian zones consequently represent a major concern for land and water resource managers confirmed within several European directives. These directives involve effective multi-scale monitoring to assess their conditions and their ability to carry out their functions. The objective of this research was to develop automated tools to provide from a single aerial LiDAR dataset new mapping tools and keystone riparian zone attributes assessing the ecological integrity of the riparian zone at a network scale (24 km).Different metrics were extracted from the original LiDAR point cloud, notably the Digital Terrain Model and Canopy Height Model rasters, allowing the extraction of riparian zones attributes such as the wetted channel (0.89 m; mean residual) and floodplain extents (6.02 m; mean residual). Different riparian forest characteristics were directly extracted from these layers (patch extent, overhanging character, longitudinal continuity, relative water level, mean and relative standard deviation of tree height). Within the riparian forest, the coniferous stands were distinguished from deciduous and isolated trees, with high accuracy (87.3%, Kappa index).Going further the mapping of the indicators, our study proposed an original approach to study the riparian zone attributes within different buffer width, from local scale (50 m long channel axis reach) to a network scale (ca. 2 km long reaches), using a disaggregation/re-agraggation process. This novel approach, combined to graphical presentations of the results allow natural resource managers to visualise the variation of upstream–downstream attributes and to identify priority action areas.In the case study, results showed a general decrease of the riparian forests when the river crosses built-up areas. They also highlighted the lower flooding frequency of riparian forest patches in habitats areas.Those results showed that LiDAR data can be used to extract indicators of ecological integrity of riparian zones in temperate climate zone. They will enable the assessment of the ecological integrity of riparian zones to be undertaken at the regional scale (13,000 km, completely covered by an aerial LIDAR survey in 2014). 相似文献
12.
The paper deals with the hypothesis that ecosystems have well-defined potentials of biodiversity. These potentials can be quantified as information entropy of the corresponding ecosystem type. The hypothesis is verified for the diversity of plant species.
A vegetation database of North-Central European forests containing more than 12000 relevés is analyzed computationally. The samples are classified into ecosystem types that are homogeneous with respect to vegetation patterns, ecological site factors, and, implicitly, with respect to ecosystem processes. Growing numbers of relevés are selected randomly from the representatives of different ecosystem types and investigated mathematically.
Shannon information (product of logarithmic species number and evenness) obeys a hyperbolic saturation equation approaching a finite value on infinite area. This asymptotic limit defines the ecological potential of species diversity. Within a given plant-geographical region, it is determined by ecological site factors like climate and soil controlling interrelations between plants. Competition relationships and hence potentials of phytodiversity are altered by management significantly. The curve of evenness versus area size is hump-shaped. Maximum evenness is proportional to the ecological potential of species diversity. The area size where evenness attains its maximum can be interpreted as the minimum area of the respective forest type. The ecological potentials of plant species diversity modelled from information entropies correspond to vegetation patterns consisting of a limited number of plant species. These vegetation patterns are closely related to ecosystem processes like nutrient cycling, plant nutrition, evapotranspiration, microbial processes, or net-primary production. Revealing the relationships between vegetation patterns and ecosystem processes allows scaling functional information from local measurement scales up to regional scales.
It is suggested to explore genetic, proteomic, and species data in order to derive comprehensive ecological potentials of biodiversity on various levels from population to landscape. The expected results could improve the understanding of the relationship between biodiversity and ecosystem functioning as well as the sustainability of ecosystem management. 相似文献
13.
J. Luis Hernandez-Stefanoni 《Biodiversity and Conservation》2006,15(4):1441-1457
The relationships among landscape characteristics and plant diversity in tropical forests may be used to predict biodiversity.
To identify and characterize them, the number of species, as well as Shannon and Simpson diversity indices were calculated
from 157 sampling quadrats (17,941 individuals sampled) while the vegetation classes were obtained from multi-spectral satellite
image classification in four landscapes located in the southeast of Quintana Roo, Mexico. The mean number of species of trees,
shrubs and vines as well as the mean value of the total number of species and the other two diversity indices were calculated
for four vegetation classes in every one of the four landscapes. In addition, the relationships between landscape patterns
metrics of patch types and diversity indices were explored. The multiple statistical analyses revealed significant predictor
variables for the three diversity indices. Moreover, the shape, similarity and edge contrast metrics of patch types might
serve as useful indicators for the number of species and the other two diversity variables at the landscape scale. Although
the association between the three diversity indices and patch types metrics showed similar behavior, some differences were
appreciated. The Shannon diversity index, with its greater sensitivity to rare species, should be considered as having a greater
importance in interpretation analysis than Simpson index. 相似文献
14.
Wetland vegetation is a core component of wetland ecosystems. Wetland vegetation structural parameters, such as height and leaf area index (LAI) are important variables required by earth-system and ecosystem models. Therefore, rapid, accurate, objective and quantitative estimations of wetland vegetation structural parameters are essential. The airborne laser scanning (also called LiDAR) is an active remote sensing technology and can provide accurate vertical vegetation structural parameters, but its accuracy is limited by short, dense vegetation canopies that are typical of wetland environments. The objective of this research is to explore the potential of estimating height and LAI for short wetland vegetation using airborne discrete-return LiDAR data.The accuracies of raw laser points and LiDAR-derived digital elevation models (DEM) data were assessed using field GPS measured ground elevations. The results demonstrated very high accuracy of 0.09 m in raw laser points and the root mean squared error (RMSE) of the LiDAR-derived DEM was 0.15 m.Vegetation canopy height was estimated from LiDAR data using a canopy height model (CHM) and regression analysis between field-measured vegetation heights and the standard deviation (σ) of detrended LiDAR heights. The results showed that the actual height of short wetland vegetation could not be accurately estimated using the raster CHM vegetation height. However, a strong relationship was observed between the σ and the field-measured height of short wetland vegetation and the highest correlation occurred (R2 = 0.85, RMSE = 0.14 m) when sample radius was 1.50 m. The accuracy assessment of the best-constructed vegetation height prediction model was conducted using 25 samples that were not used in the regression analysis and the results indicated that the model was reliable and accurate (R2 = 0.84, RMSE = 0.14 m).Wetland vegetation LAI was estimated using laser penetration index (LPI) and LiDAR-predicted vegetation height. The results showed that the vegetation height-based predictive model (R2 = 0.79) was more accurate than the LPI-based model (the highest R2 was 0.70). Moreover, the LAI predictive model based on vegetation height was validated using the leave-one-out cross-validation method and the results showed that the LAI predictive model had a good generalization capability. Overall, the results from this study indicate that LiDAR has a great potential to estimate plant height and LAI for short wetland vegetation. 相似文献
15.
光谱多样性是一种基于植物反射电磁辐射光谱的生物多样性维度, 反映了不同波段光谱反射率在植物种内与种间个体之间的变异程度。由于植物反射光谱特征的差异可以综合地反映植物间生化组分和形态特征的差异, 光谱多样性成为植物多样性监测和评估的重要技术手段。该文介绍了光谱多样性的概念及其生态学意义, 比对了多源、多平台光谱数据各自的技术优势和局限性, 并概述了基于光谱多样性的植物多样性监测和评估方法及其应用, 探讨了光谱多样性整合不同维度生物多样性的能力, 展望了光谱多样性在生物多样性研究中的发展前景。光谱多样性能在多空间尺度服务于植物多样性的监测与评估, 特别是依托基于无人机技术的近地面遥感, 可以实现精细尺度植物多样性的监测与评估, 在生物多样性的保护和管理中具有广阔的应用前景。 相似文献
16.
无人机与遥感技术的结合,即无人机遥感。与传统的以卫星和有人机遥感相比,无人机遥感具有高时效、高时空分辨率、云下低空飞行、高机动性等优势,是传统卫星和有人机遥感手段所无法比拟的。这些优点使得无人机在生态学和保护生物学等领域获得迅速发展。首先对无人机遥感技术的发展历程、系统组成、分类与选型、应用优势等进行了介绍。在此基础上,对无人机在生态学中的应用案例进行了总结,内容涉及生境监测、植物物候调查、动物监测等方面。最后通过比较国内外相关领域的研究进展对无人机生态学存在的问题(技术门槛较高和法律法规不完善等)和潜在应用前景进行了探讨。 相似文献
17.
随着城镇化速度不断加快以及可持续发展理念的兴起,对城市进行生态经济耦合协调度研究有助于明确城市发展现状,评价其转型效果并对适合其的发展方向进行预测,对我国社会可持续发展具有重要的现实意义。基于MODIS卫星影像,统计出河南省2000—2020年间遥感生态指数(RSEI)。基于夜间灯光数据、人口栅格数据和PM2.5数据构建了一种能够综合反映城市社会经济发展状况的遥感综合经济指数(RSCEI)。通过构建RSEI和RSCEI的耦合协调度模型,分析城市转型过程中生态和经济耦合协调情况。研究表明:(1)使用RSCEI反映城市社会发展状况,可以在社会活动的全过程对城市发展状况进行评价。相比传统的夜光遥感手段,其在经济欠发达地区反映的发展差异更加明显;(2)2000—2020年间,河南省生态环境质量呈现出“先改善后退化再恢复”的趋势。东部和西部区域生态环境质量优于中部区域;(3)2000—2020年间,河南省中心城区经济发展水平逐渐高于城市边缘区域。以第一产业为主的城市RSCEI呈现出先下降后上升的转型过程;以第二、三产业为主的城市靠近经济发达城市有利于城市社会经济发展;(4)河南省耦合协调度在2005年左右遇到转型发展中的瓶颈阶段,产业结构的调整导致耦合协调度持续下降,2015年后耦合协调度开始出现上升趋势,表明新的产业结构有利于河南省生态质量和社会经济协调发展。研究提出的RSCEI,填补了城市生态经济耦合协调度研究领域缺乏一种能够从城市发展全过程反映发展水平的空间化指数的空白,为城市可持续发展研究提供了新的遥感参考指标。 相似文献
18.
内蒙古扁蓿豆遗传多样性的ISSR分析 总被引：1，自引：0，他引：1
应用ISSR分子标记对分布于内蒙古不同地区的扁蓿豆(Medicago ruthenica)8个地理种群进行了遗传多样性研究.结果表明:扁蓿豆具有较高的遗传多样性;15个引物共扩增出363个位点,物种水平上Nei s基因多样性指数为0.198 9,Shannon多样性指数为0.303 7;种内总基因多样性为0.308 6,种群内基因多样性为0.198 9,64.45%的遗传变异存在于种群内,35.55%的遗传变异存在于种群间,种群间的遗传分化系数为0.355 5,基因流为0.906 4,8个种群间基因交流较少,遗传分化较强.UPGMA遗传距离聚类结果表明,生态地理条件相似的种群优先聚集. 相似文献
19.
虽然城市化对生物多样性影响的研究在发达国家是一个重要的研究领域,但是在发展中国家这方面的研究不多。通过案例研究,分析本土植物多样性沿着城市化梯度的变化,及其与生境土壤因子的关系。在廊坊市,中国北部一个快速城市化的地区,沿着中心城区、城区、郊区、远郊区城市化梯度,每个梯度选取6个样地进行本土植物多样性调查,记录种类数、多样性和种类组成,并分析了多样性指数。与远郊区相比,中心城区失去了88%的物种,物种多样性下降了78%,城区物种多属于禾本科、藜科等耐践踏、耐土壤紧实度的物种。远郊区的本土植物属于45个科,科数大于城区物种。相似性指数表明,城区和郊区大部分物种相同,但是远郊区差异较大。DCCA分析表明,土壤总氮、有机质含量是影响物种城市化分布的主要因素。城市化促进了物种分布的匀质化。 相似文献