Reliability of map accuracy assessments: A comment on Hunter et al. (2016)

Map validation data that are ambiguously allocated to map units and collected via poorly designed sampling methods are not statistically reliable and will misrepresent map quality. A recent paper published in Ecological Management and Restoration (Ecological Management & Restoration, 17, 2016 and 40) reported that a map in south‐eastern Australia provided little or no predictive accuracy based on new field data, but the validation suffered from the aforementioned pitfalls. In this comment, we outline the basic guidelines for a robust, reliable and transparent accuracy assessment of thematic maps, pointing out where (Ecological Management & Restoration, 17, 2016 and 40) fails to meets these guidelines.     

Reliability of map accuracy assessments: A reply to Roff et al. (2016)

Roff et al. (Ecological Management and Restoration, 17 , 2016, 000) provide a discussion of the criteria expected for the best approach to validation of mapping programs and uses Hunter (Ecological Management & Restoration 17 , 2016, 40) to highlight issues involved. While we support the general principles outlined, we note that the review does not apply the same standards to Sivertsen et al. (Greater Hunter Native Vegetation Mapping Geodatabase Guide (Version 4.0). Office of Environment and Heritage, Department of the Premier and Cabinet, Sydney, Australia, 2011), the original document critiqued by Hunter (Ecological Management & Restoration 17 , 2016, 40). The Hunter (Ecological Management & Restoration 17 , 2016, 40) validation was based on a larger sample size, greater sampling within mapping units and greater representation of landscapes than Sivertsen et al. (Greater Hunter Native Vegetation Mapping Geodatabase Guide (Version 4.0). Office of Environment and Heritage, Department of the Premier and Cabinet, Sydney, Australia, 2011). Survey and validation sites being placed along public roads and lands are common to both the general Office of Environment and Heritage (OEH) and Hunter (Ecological Management & Restoration 17 , 2016, 40) validation methodologies. Thus, the criticisms of Roff et al. (Ecological Management and Restoration, 17 , 2016, 000) of the Hunter (Ecological Management & Restoration 17 , 2016, 40) approach apply equally, if not more, to Sivertsen et al. (Greater Hunter Native Vegetation Mapping Geodatabase Guide (Version 4.0). Office of Environment and Heritage, Department of the Premier and Cabinet, Sydney, Australia, 2011). We outline in the article how the Roff et al. (Ecological Management and Restoration, 17 , 2016, 000) critique was selective and in some cases incorrect in its analysis of issues presented in Hunter (Ecological Management & Restoration 17 , 2016, 40) and did not apply the same criteria to their own work. We conclude by discussing future directions for validating and mapping vegetation communities.     

陕北丘陵沟壑区撂荒地自然恢复植被的组成结构与数量分类

采用样带调查与TWINSPAN分类等方法,对陕北丘陵沟壑区延安、安塞和吴旗174个撂荒地样方的物种组成、出现频率与盖度、及群落类型进行了统计与分类.植被组成结构的统计结果表明:该区自然恢复的植被几乎一半是由禾本科、菊科、豆科和蔷薇科的物种组成,北温带、旧世界温带、世界与泛热带分布成分占到总物种数近75%,且以中旱生、中生和旱生的草本类植物为主,具有典型的温带地面芽植物气候特征.植被的数量分类表明:调查样方基本包括了该区自然恢复的主要植被类型,延安、安塞和吴旗的植被在1年生草本群落到多年生蒿禾类草本群落阶段,依次均以猪毛蒿(Artemisia scoparia)、赖草(Leymus secalinus)、长芒草(Stipa bungeana)、达乌里胡枝子(Lespedeza davurica)、铁杆蒿(Artemisia gmelinii)、茭蒿(Artemisia giraldii)、白羊草(Bothriochloa ischaemun)等为主要优势物种构成的不同组合的植物群落,且这些物种具有较高的盖度和频度;但在植被演替后期,不同植被带及阴阳坡的演替方向却发生了明显的变化.以延安为代表的森林带,阴坡可形成黄刺玫(Rosa xanthina)、三角槭(Acer buergerianum)、辽东栎(Quercus liaotungensis)等为优势种的群落,阳坡可形成狼牙刺(Sophora viciifolia)、侧柏(Platycladus orientalis)等为优势种的群落;以安塞为代表的森林草原带,阴坡可形成黄刺玫、紫丁香(Syringa julianae)、虎榛子(Ostryopsis davidiana)等为优势种的群落,阳坡可形成白羊草(Bothriochloa ischaemun)、狼牙刺等为优势种的群落;而以吴旗为代表的草原带,阴阳坡植被分异不明显,为多年生蒿禾类草本群落.这些演替后期的灌乔优势物种均为高位芽植物,在阴坡为中生,在阳坡为旱生、中旱生,虽具有比较高的盖度,但分布仅仅是零散出现,并不是目前黄土丘陵沟壑区的主要植被类型.     

Space remote sensing for spatial vegetation characterization

The study area, Madhav National Park (MP) represents northern tropical dry deciduous forest. The national park, due to its unique location (nearest to township), is under tremendous biotic pressure. In order to understand vegetation structure and dynamics, vegetation mapping at community level was considered important. Prolonged leafless period and background reflection due to open canopy poses challenge in interpretation of satellite data. The vegetation of Madhav National Park was mapped using Landsat TM data. The ground data collected from sample points were subjected to TWINSPAN analysis to cluster sample point data into six communities. The vegetation classification obtained by interpretation (visual and digital) of remote sensing data and TWINSPAN were compared to validate the vegetation classification at community level. The phytosociological data collected from sample points were analysed to characterize communities. The results indicate that structural variations in the communities modulate spectral signatures of vegetation and form basis to describe community structure subjectively and at spatial level.     

The concept of potential natural vegetation: an epitaph?

We discuss the usefulness of the concept of Potential Natural Vegetation (PNV), which describes the expected state of mature vegetation in the absence of human intervention. We argue that it is impossible to model PNV because of (i) the methodological problems associated to its definition and (ii) the issues related to the ecosystems dynamics.We conclude that the approach to characterizing PNV is unrealistic and provides scenarios with limited predictive power. In places with a long‐term human history, interpretations of PNV need to be very cautious, and explicit acknowledgement made of the limitations inherent in available data.     

纸坊沟流域植被恢复区灌木林昆虫群落时间结构及动态

通过对纸房沟流域不同植被恢复区昆虫进行调查,结果表明:昆虫种类数以天然灌木林最高,混交林次之,单纯林分较低,个体数量以柠条林昆虫数量最高,其次为混交林和沙棘林,天然灌木林变化幅度最小。各植被昆虫种类和数量季节变化符合y=ax3 bx2 cx d函数变化规律。从特征指数来分析:昆虫群落多样性指数5～9月份大小次序均为天然灌木林>混交林>单纯林分,均匀度以单纯林和混交林的昆虫群落变化幅度较大,天然灌木林变化幅度最小。群落的优势度与均匀度值的变化呈相反趋势。主分量分析表明:植物类型不同的昆虫群落,其主导因素和时间格局不同,且结构越复杂,主导因素和时间格局越明显;相反,则主导因素和时间格局分化不明显;通过排序植食性昆虫、捕食性昆虫、寄生性昆虫在各植被昆虫群落变化的不同时期占主导因素。     

雅砻江和大渡河干旱河谷植被物种多样性比较:气候、地形与空间的影响

干旱河谷植被是我国西南横断山区的一类特殊的隐域性生态系统, 影响不同河谷之间植物群落差异的因素与作用大小尚不清楚。本研究调查了四川省雅砻江和大渡河流域干旱河谷段植被组成, 并比较了两个地区在植物多样性上的差别。结果表明: (1)影响两个地区植被类型的主要因素不同, 雅砻江干旱河谷植被主要受海拔和地形(坡度和坡向)影响, 大渡河干旱河谷植被主要受年平均降水量影响。(2)雅砻江和大渡河干旱河谷植物物种丰富度均随着年均温升高而降低。(3)坡向由北至南, 雅砻江干旱河谷灌木、草本物种丰富度减小, 而大渡河干旱河谷灌木、草本丰富度增加。(4)坡度越大, 雅砻江和大渡河干旱河谷灌木的丰富度越高。(5)雅砻江、大渡河干旱河谷植物β多样性受环境距离影响大, 受地理距离影响小。两条江植被间地理隔离效应约为地理距离产生差异的5倍。本研究弥补了干旱河谷研究中对于雅砻江和大渡河干旱河谷植物多样性研究的空白, 为相关区域植被保护提供了参考信息, 同时还为定量估计地理隔离效应对区域间生物多样性差异的影响提供了可行方法。     

Vegetation Mapping of the Mond Protected Area of Bushehr Province （South-west Iran）

Arid regions of the world occupy up to 35% of the earth＇s surface, the basis of various definitions of climatic conditions, vegetation types or potential for food production. Due to their high ecological value, monitoring of arid regions is necessary and modern vegetation studies can help in the conservation and management of these areas. The use of remote sensing for mapping of desert vegetation is difficult due to mixing of the spectral reflectance of bright desert soils with the weak spectral response of sparse vegetation. We studied the vegetation types in the semiarid to arid region of Mond Protected Area, south-west Iran, based on unsupervised classification of the Spot XS bands and then produced updated maps. Sixteen map units covering 12 vegetation types were recognized in the area based on both field works and satellite mapping. Halocnemum strobilaceum and Suaeda fruticosa vegetation types were the dominant types and Ephedra foliata, Salicornia europaea-Suaeda heterophylla vegetation types were the smallest. Vegetation coverage decreased sharply with the increase in salinity towards the coastal areas of the Persian Gulf. The highest vegetation coverage belonged to the riparian vegetation along the Mond River, which represents the northern boundary of the protected area. The location of vegetation types was studied on the separate soil and habitat diversity maps of the study area, which helped in final refinements of the vegetation map produced.     

香港瓮缸群岛野生植物资源调查研究

香港瓮缸群岛共有维管植物166种,隶属于69个科138个属,其中蕨类植物7科8属10种,裸子植物2科2属2种,被子植物60科128属154种。瓮缸群岛为香港著名离岛,植被生境无人为干扰,野生植物资源利用度较低,本文通过对瓮缸群岛的植被类型和野生植物资源进行统计分析,结果表明,该群岛可供利用的植物资源共10类,分别为：药用植物103种、观赏植物107种、食用植物21种、牧草及饲用植物23种、材用植物17种、油脂植物22种、芳香精油植物25种、纤维植物13种、鞣料植物11种、有毒植物26种等,都有很高的开发利用潜力,在此基础上提出相应的保育及开发利用建议,旨在更好地保护和合理利用该群岛的野生植物资源。