DOI: 10.1016/j.foreco.2015.03.005
Scopus记录号: 2-s2.0-84961335408
论文题名: Remote monitoring of defoliation by the beech leaf-mining weevil Rhynchaenus fagi in northern Spain
作者: Rullán-Silva C. ; Olthoff A.E. ; Pando V. ; Pajares J.A. ; Delgado J.A.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2015
卷: 347 起始页码: 200
结束页码: 208
语种: 英语
英文关键词: Fagus sylvatica
; Insect defoliator
; Landsat images
; Mixed-effects model
; Moisture stress index
; Spectral vegetation indices
Scopus关键词: Animals
; Conservation
; Cost effectiveness
; Damage detection
; Mapping
; Moisture
; Population statistics
; Remote sensing
; Vegetation
; Fagus sylvatica
; Insect defoliator
; Landsat images
; Mixed effects models
; Spectral vegetation indices
; Stress indices
; Forestry
; accuracy assessment
; deciduous forest
; defoliation
; error analysis
; forest inventory
; forest management
; Landsat
; remote sensing
; Coefficients
; Fagus Sylvatica
; Images
; Models
; Plants
; Cantabrian Mountains
; Spain
; Agromyzidae
; Fagus
; Fagus sylvatica
; Hexapoda
; Rynchaenus fagi
英文摘要: Beech (Fagus sylvatica L.) forests are among the most widespread and emblematic deciduous forests in Europe, frequently serving as refuge for several endangered species. Populations of the beech leaf-miner weevil Rhynchaenus fagi, a common specific defoliator, usually remain at endemic levels for long periods, but outbreaks occasionally occur under favorable conditions, causing extensive defoliation and forest decline. Monitoring defoliation is highly relevant to integrated beech management, particularly in the beech forests of northern Spain, located in the southernmost range of the Cantabrian Mountains. Monitoring and mapping damage using multispectral satellite remote sensing may be a suitable, cost-effective option in these rugged areas. One hundred eleven defoliation field records from 17 inventory plots over an 8-year period were spectrally related to ten Landsat vegetation indices. A sigmoidal mixed-effects model as a function of vegetation index change for predicting R. fagi defoliation in beech stands was developed based on a recently proposed general Landsat model. The Moisture Stress Index (MSI, Band-5/Band-4) was the best fitted model. The δMSI defoliation model yielded 4.0% RMSE and 3.1% MAE defoliation estimated errors and a significant accuracy of 0.685 R2 (p<0.0001) or 0.632 Nagelkerke's R2. Model was applied to map the spatial-temporal pattern of R. fagi defoliation on beech stands, and a trend of defoliation oscillation was observed in the area during the 8year study. Remote sensing-based model represents a cost-effective tool for health monitoring in large, difficult to access, forested mountain areas, such as those studied. Forest management programs, as those aimed to habitat conservation of southern Cantabrian beech forests, will greatly benefit from remote mapping and the assessment of stand vulnerability to insect damage and other disturbances in current climate warming scenarios. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65457
Appears in Collections: 影响、适应和脆弱性
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作者单位: Sustainable Forest Management Research Institute, University of Valladolid-INIA, Avda. de Madrid 44, Palencia, Spain; División Académica de Ciencias Biológicas, Universidad Juárez Autónoma de Tabasco, Ctra. Villahermosa-Cárdenas, km 0.5, Centro, Tabasco, Mexico
Recommended Citation:
Rullán-Silva C.,Olthoff A.E.,Pando V.,et al. Remote monitoring of defoliation by the beech leaf-mining weevil Rhynchaenus fagi in northern Spain[J]. Forest Ecology and Management,2015-01-01,347