The role of power line rights-of-way as an alternative habitat for declined mire butterflies

Habitat loss is one of the greatest threats for biodiversity. In Finland, two thirds of natural mires have been drained for silviculture, which transforms open wetlands into dense forests. However, vegetation management of power line rights-of-way (ROW) maintain the drained mires as open areas. The aim of this study was to determine the effect of the power line ROW vegetation management on butterfly abundance, species richness and community structure by comparing the managed power line ROWs to unmanaged drained control sites and to natural mires. The species richness or abundance of mire butterflies did not differ between the power line ROWs and natural mires. In contrast, both species richness and abundance of butterflies was low on the unmanaged control sites. Tree canopy cover had a negative effect on mire butterflies and this is most likely related to changes in microclimate. The results indicate that the active vegetation removal in the power line ROWs maintain alternative habitats for mire butterflies; yet, the power line ROWs cannot substitute the natural mires.     

“5·12”地震前后都江堰市地表覆盖状况变化分析

本文以应用遥感技术,对“5·12”地震都江堰区域地表覆盖状况进行分析评价。选取都江堰市基于2007年的LandsatTM影像和2010年HJ-1卫星CCD影像,通过面向对象和目视解译相结合的方法,提取了草地、河流、旱地、水田、建设用地等9类生态类型环境覆盖信息。结果表明：“5·12”汶川地震对地表生态环境的变化较大,北...     

基于“三生”适宜性的县域土地利用冲突识别与分析

精准识别潜在土地利用冲突有利于预警权衡和协调冲突用地,有利于科学进行国土空间规划。以“三调”修正数据为基础,基于生产、生活、生态视角,构建高植被覆盖率县域生产、生活、生态即“三生”适宜性评价模型与土地利用冲突识别矩阵,并选取横峰县进行实证分析。结果表明:（1）横峰县“三生”适宜性用地的空间分布与面积构成差异显著,且存在明显的空间叠加特征,暗示着研究区土地利用存在冲突;（2）从潜在冲突识别的结果来看,土地利用适宜区、冲突激烈区、冲突中度区、冲突一般区及冲突微弱区面积占比分别为64.02%、9.66%、17.19%、1.66%、7.48%;（3）各个冲突类型区空间分布、表现形式的差异性决定了冲突和解的对策也需因地制宜。研究结果可为相关及类似县域的国土空间规划提供理论参考。     

塔里木河流域出山径流水化学特征研究

本文以区域地质为背景,对塔里木河流域山区径流水化学组分特征进行分析,探讨溶质的来源及其控制因素.结果表明：塔里木河流域出山径流水体以硅酸盐岩的碳酸化溶滤水为主,离子类型为HCO₃^--Ca²⁺型,其次为SO₄^2--（Ca²⁺+Mg²⁺）混合型.南缘昆仑山/帕米尔高原各子流域的出山径流中,TDS （溶解性总固体）和离子总量的加权平均值（权重为径流量）分别为424.02和356.20 mg/L,远高于北缘天山出山的相应值（268.43和220.04mg/L）,这是因为天山山区分布大量的岩浆岩,抑制了区域水化学侵蚀强度.运用吉布斯图及因子分析等方法,确定出山径流的水质主要受硅酸盐岩的碳酸化作用控制,其中南缘昆仑山/帕米尔高原水系不仅伴有蒸发盐岩风化,还与天山阿克苏河水系一样,伴有碳酸盐岩风化.风化过程中,硫化物氧化产生的H⁺抑制了碳酸化风化,一定程度上限制了大气CO₂消耗,尤其是在有煤层、铜矿等硫化物分布的迪那河、喀拉玉儿滚河和喀什葛河流域.塔里木河流域出山径流中除了F^-和NO₃^-外,其他离子和总离子浓度均与冰川覆盖率和融水占径流比例之间存在良好的相关性.总离子浓度与冰川覆盖率之间建立的指数拟合方程,符合我国西北干旱区出山水质的特点,但受自然与人为因素的制约,与全球尺度拟合的方程存在一定差异.     

Using single- and multi-target regression trees and ensembles to model a compound index of vegetation condition

An important consideration in conservation and biodiversity planning is an appreciation of the condition or integrity of ecosystems. In this study, we have applied various machine learning methods to the problem of predicting the condition or quality of the remnant indigenous vegetation across an extensive area of south-eastern Australia—the state of Victoria. The field data were obtained using the ‘habitat hectares’ approach. This rapid assessment technique produces multiple scores that describe the condition of various attributes of the vegetation at a given site. Multiple sites were assessed and subsequently circumscribed with GIS and remote-sensed data.     

Uncertainty propagation in vegetation distribution models based on ensemble classifiers

Ensemble learning techniques are increasingly applied for species and vegetation distribution modelling, often resulting in more accurate predictions. At the same time, uncertainty assessment of distribution models is gaining attention. In this study, Random Forests, an ensemble learning technique, is selected for vegetation distribution modelling based on environmental variables. The impact of two important sources of uncertainty, that is the uncertainty on spatial interpolation of environmental variables and the uncertainty on species clustering into vegetation types, is quantified based on sequential Gaussian simulation and pseudo-randomization tests, respectively. An empirical assessment of the uncertainty propagation to the distribution modelling results indicated a gradual decrease in performance with increasing input uncertainty. The test set error ranged from 30.83% to 52.63% and from 30.83% to 83.62%, when the uncertainty ranges on spatial interpolation and on vegetation clustering, respectively, were fully covered. Shannon’s entropy, which is proposed as a measure for uncertainty of ensemble predictions, revealed a similar increasing trend in prediction uncertainty. The implications of these results in an empirical distribution modelling framework are further discussed with respect to monitoring setup, spatial interpolation and species clustering.     

Effects of experimental protocol on global vegetation model accuracy: A comparison of simulated and observed vegetation patterns for Asia

Prognostic vegetation models have been widely used to study the interactions between environmental change and biological systems. This study examines the sensitivity of vegetation model simulations to: (i) the selection of input climatologies representing different time periods and their associated atmospheric CO₂ concentrations, (ii) the choice of observed vegetation data for evaluating the model results, and (iii) the methods used to compare simulated and observed vegetation. We use vegetation simulated for Asia by the equilibrium vegetation model BIOME4 as a typical example of vegetation model output. BIOME4 was run using 19 different climatologies and their associated atmospheric CO₂ concentrations. The Kappa statistic, Fuzzy Kappa statistic and a newly developed map-comparison method, the Nomad index, were used to quantify the agreement between the biomes simulated under each scenario and the observed vegetation from three different global land- and tree-cover data sets: the global Potential Natural Vegetation data set (PNV), the Global Land Cover Characteristics data set (GLCC), and the Global Land Cover Facility data set (GLCF). The results indicate that the 30-year mean climatology (and its associated atmospheric CO₂ concentration) for the time period immediately preceding the collection date of the observed vegetation data produce the most accurate vegetation simulations when compared with all three observed vegetation data sets. The study also indicates that the BIOME4-simulated vegetation for Asia more closely matches the PNV data than the other two observed vegetation data sets. Given the same observed data, the accuracy assessments of the BIOME4 simulations made using the Kappa, Fuzzy Kappa and Nomad index map-comparison methods agree well when the compared vegetation types consist of a large number of spatially continuous grid cells. The results of this analysis can assist model users in designing experimental protocols for simulating vegetation.     

上海崇明县植被覆盖度动态变化遥感监测研究

植被覆盖度是用于描述和评价生态系统的重要参数。基于1989、2001、2006年的TM/ETM+遥感数据,以上海市崇明县为研究区域,利用改进的像元二分模型,估算出不同时期内崇明县的植被覆盖度,并对其变化进行了定量分析。结果表明:1989-2001年,植被覆盖度负向变化地表约10.17%,正向变化约20.58%,乡镇和湿地区域正向变化的面积大于负向变化,农场区域则相反;2001-2006年,负向变化约29.1%,正向变化约12%,农场和湿地区域正向变化的面积大于负向变化,乡镇区域则相反,并且随着城市化进程的深入,各土地用地类型的植被覆盖度变化在一定程度上都呈现出生态退化的趋势。