Towards precision forestry: Drought response from remote sensing-based disturbance monitoring and fine-scale soil information in Central Europe

被引:8
作者
Putzenlechner, Birgitta [1 ]
Koal, Philipp [2 ]
Kappas, Martin [1 ]
Loew, Markus [3 ]
Mundhenk, Philip [2 ]
Tischer, Alexander [4 ]
Wernicke, Jakob [2 ]
Koukal, Tatjana [3 ]
机构
[1] Georg August Univ, Inst Geog, Dep Cartog GIS & Remote Sensing, Goldschmidtstr 5, D-37077 Gottingen, Germany
[2] ThuringenForst AoR, Forestry Res & Competence Ctr, Jagerstr 1, D-99867 Gotha, Germany
[3] Fed Res & Training Ctr Forests Nat Hazards & Lands, Seckendorff Gudent Weg 8, A-1130 Vienna, Austria
[4] Friedrich Schiller Univ, Inst Geog, Lobdergraben 32, D-07743 Jena, Germany
关键词
Available water capacity; Fagus sylvatica; Forest site information; Picea abies; Remote sensing; Sentinel-2; TREE SPECIES CLASSIFICATION; IPS-TYPOGRAPHUS L; NORWAY SPRUCE; TIME-SERIES; TATRA MOUNTAINS; INFESTATION; PREDISPOSITION; FEATURES; EVENTS; SITE;
D O I
10.1016/j.scitotenv.2023.163114
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Prolonged drought and susceptibility to biotic stressors induced an extensive calamity in Norway spruce (Picea abies (L.) Karst.) and widespread crown defoliation in European beech (Fagus sylvatica L.) in Central Europe. For future man-agement decisions, it is crucial to link changes in canopy cover to site conditions. However, current knowledge on the role of soil properties for drought-induced forest disturbance is limited due to the scarcity and low spatial resolution of soil information. We present a fine-scale assessment on the role of soil properties for forest disturbance in Norway spruce and European beech derived from optical remote sensing. A forest disturbance modeling framework based on Sentinel-2 time series was applied on 340 km2 in low mountain ranges of Central Germany. Spatio-temporal infor-mation on forest disturbance was calculated at 10 m spatial resolution in the period 2019-2021 and intersected with high-resolution soil information (1:10,000) based on roughly 2850 soil profiles. We found distinct differences in dis-turbed area, depending on soil type, texture, stoniness, effective rooting depth and available water capacity (AWC). For spruce, we found a polynomial relationship between AWC (R2 = 0.7) and disturbance, with highest disturbed area (65 %) for AWC between 90 and 160 mm. Interestingly, we found no evidence for generally higher disturbance on shallow soils, although stands on the deepest soils were significantly less affected. Noteworthy, sites affected first did not necessarily exhibit highest proportions of disturbed area post-drought, indicating recovery or adaptation. We conclude that site-and species-specific understanding of drought impacts benefits from a combination of remote sensing and fine-scale soil information. Since our approach revealed which sites were affected first and most, it qual-ifies for prioritizing in situ monitoring activities to most vulnerable stands in acute drought conditions as well as for developing long-term strategies for reforestation and site-specific risk assessment for precision forestry.
引用
收藏
页数:17
相关论文
共 75 条
[1]   RELATIONSHIP BETWEEN VARIABLE SELECTION AND DATA AUGMENTATION AND A METHOD FOR PREDICTION [J].
ALLEN, DM .
TECHNOMETRICS, 1974, 16 (01) :125-127
[2]  
[Anonymous], BODENKUNDLICHE KARTI, V5th
[3]  
Arbeitskreis Standortkartierung, 2016, FORSTL STAND BEGR DE, V7th
[4]   Assessing the consequences of global change for forest disturbance from herbivores and pathogens [J].
Ayres, MP ;
Lombardero, MJ .
SCIENCE OF THE TOTAL ENVIRONMENT, 2000, 262 (03) :263-286
[5]   Factors Affecting the Health Condition of Spruce Forests in Central European Mountains-Study Based on Multitemporal RapidEye Satellite Images [J].
Balazy, Radomir ;
Hycza, Tomasz ;
Kaminska, Agnieszka ;
Osinska-Skotak, Katarzyna .
FORESTS, 2019, 10 (11)
[6]   Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland [J].
Baltensweiler, Andri ;
Walthert, Lorenz ;
Hanewinkel, Marc ;
Zimmermann, Stephan ;
Nussbaum, Madlene .
GEODERMA REGIONAL, 2021, 27
[7]   Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity [J].
Bastos, A. ;
Ciais, P. ;
Friedlingstein, P. ;
Sitch, S. ;
Pongratz, J. ;
Fan, L. ;
Wigneron, J. P. ;
Weber, U. ;
Reichstein, M. ;
Fu, Z. ;
Anthoni, P. ;
Arneth, A. ;
Haverd, V ;
Jain, A. K. ;
Joetzjer, E. ;
Knauer, J. ;
Lienert, S. ;
Loughran, T. ;
McGuire, P. C. ;
Tian, H. ;
Viovy, N. ;
Zaehle, S. .
SCIENCE ADVANCES, 2020, 6 (24)
[8]   Algorithms for quantitative pedology: A toolkit for soil scientists [J].
Beaudette, D. E. ;
Roudier, P. ;
O'Geen, A. T. .
COMPUTERS & GEOSCIENCES, 2013, 52 :258-268
[9]  
Beaudette D.E., 2022, soilDB: Soil database interface
[10]  
Benning R., 2016, WALDOKOLOGIE LANDSCH, V2016, P35