Prediction of pine mistletoe infection using remote sensing imaging: A comparison of the artificial neural network model and logistic regression model

In this study, the prediction of pine mistletoe distribution in Scots pine ecosystems was explored using remote sensing variables to compare the multilayer perceptron (MLP) artificial neural network (ANN) and logistic regression (LR) model performances. For this purpose, 109 sample plots were distinguished in pure Scots pine forests (natural) in the Eastern Black Sea Region of Turkey. Distinguishing mistletoe-infected stands (69) and uninfected stands (40) was performed with field observations. The variables acquired from Landsat 8 (Level 1) images were used as independent variables for independent-sample t-test, MLP ANN and LR models. Remote sensing variables indicated that mistletoe-infected stands were in drier areas with a lower vegetation-leaf area index. Based on the performance results of both models, the sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV) and accuracy of the MLP ANN model were superior to those of the LR model. The prediction percentages (SEN, SPE, PPV and NPV) of mistletoe-infected stands were better than the prediction percentages of uninfected stands. The prediction accuracies of LR and MLP ANN models were 74.3% and 89.6%, respectively. However, all remote sensing variables were included in the prediction equation of the MLP ANN model, while the thermal infrared 1 (TIRS1) variable was included in the LR model. In the MLP ANN model, the TIRS1 variable also had the highest normalized importance (100%). The area under the curve (AUC) value for identifying the mistletoe-infected stands of Scots pine forests used by the MLP ANN model (0.892 ± 0.034) was higher than in the LR model (0.838 ± 0.039), explaining the more accurate predictions obtained from the MLP ANN model. The MLP ANN model showed much better performance than the LR model. The results of this study are expected to make important contributions to the identification of potential mistletoe-infected areas.     

森林消防头盔的人机工程学分析

森林消防头盔的人机工程学设计与其安全性能紧密相关,为了提高森林消防头盔的安全性能,对国内应用广泛的3款消防头盔产品,从外形结构、材料、安全、舒适性等方面进行了性能评价.并根据消防员的使用情况进行数据分析,提出了使用悬挂系统、安装高度调节器、使用外设旋钮的可调式护目镜、分解使用头盔、护目镜、面罩等设计建议,为今后的森林消...     

提升公益林生态保护功能质量的技术措施

针对微州区生态公益林现状,提出提升生态公益林生态保护功能质量的培育改造技术措施,除提高生态效益外,最大程度地实现其社会效益和经济效益。     

政策性森林保险开展的现状·问题及对策研究——以江西吉安市为例

以江西省吉安市为例,阐述了该市政策性森林保险开展的基本情况和特点,并分析了当前存在的主要问题,即森林保险宣传力度不够,林农保险意识低下,森林保险有效需求不足,森林保险技术人才匮乏,经营成本较高,各部门之间的协调配合不到位。针对这些不足与问题,提出了推动吉安市政策性森林保险发展的对策建议。     

大通白桦林改造措施及成效分析

大通县白桦低效林在白桦林分中占29%,在乔木林中占10.6%,且有逐年增加的趋势。通过对大通县老爷山公园后山白桦更新造林措施、成效分析,提出白桦林改造的较好途径。     

青海省林木种苗生产现状、技术措施对策

阐述目前林木种苗生产、经营监督力度不够,种苗市场混乱,生产管理粗放,科技含量不高等主要问题。     

奉化市“十二五”期间年森林采伐限额的编制

根据编制原则及范围,采用2007年森林资源二类调查成果,利用国家林业局调查规划设计院开发的"森林合理年采伐量测算系统"和由浙江省森林资源监测中心开发的"浙江省十二五编限数据处理系统"组成的软件,测算出奉化市合理年采伐量为49413m3.为利于林业可持续发展,确定奉化市"十二五"期间年森林采伐限额建议指标为46980m3,其中主伐4440 m3,抚育采伐32970 m3,更新采伐5570 m3,其它采伐4000 m3.     

林权变更中时空信息分析

分析了林权变更中的时间变化特点,以及随着时间变化林地空间与属性变化情况,在此基础上对林权变更中的时空信息进行组织与管理,实现时空信息管理系统时空查询和历史回溯功能。     

天然林保护工程封山育林国家投资标准探讨

以重庆市涪陵区2012年天保工程封山育林规划设计概算为依据，将涪陵区现行天保工程封山育林按国家标准的投资进行细分，在此基础上结合实际情况进行重新调整，提出了天保工程封山育林新标准，为确定天保工程封山育林标准提供参考。     

Capercaillie (Tetrao urogallus) Lekking sites in fragmented Finnish forest landscape

The location of Capercaillie lekking sites was compared in forest mosaics of different level of fragmentation. In north Finland the stand characteristics of the lekking sites did not differ from those of randomly selected stands in the 1950s judged from forestry maps and stand registers. In the 1980s, when forestry had considerably altered stand structure, lekking stands were older, larger and had a higher timber volume than random stands. These features evenly changed from the lek centre to the distance of 4 km, to which distance the adjacent areas were assessed. Southern and central Finnish analyses, based on topographic maps, showed that the proportion of forest distinctly decreased with increasing distance from a lek centre, up to a distance of 1–1.5 km. The average patch size of lekking stands were largest in the north (where both cut areas and remaining stands are large) and smallest in central Finland dominated by fine‐grained forest landscape. The results are discussed in terms of landscape ecology and forestry planning.