Multi-annual grassland mowing dynamics in Germany: spatio-temporal patterns and the influence of climate, topographic and socio-political conditions

被引:3
作者
Reinermann, Sophie [1 ]
Asam, Sarah [2 ]
Gessner, Ursula [2 ]
Ullmann, Tobias [1 ]
Kuenzer, Claudia [1 ,2 ]
机构
[1] Univ Wurzburg, Inst Geog & Geol, Dept Remote Sensing, Wurzburg, Germany
[2] German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, Earth Observat Ctr EOC, Wessling, Germany
关键词
remote sensing; Sentinel-2; time series; cutting; management; pasture; meadow; Earth observation; EUROPEAN ECOSYSTEMS; ORGANIC-CARBON; USE INTENSITY; LAND-USE; BIOMASS; PRODUCTIVITY; FERTILIZATION; BAVARIA; SOILS;
D O I
10.3389/fenvs.2023.1040551
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Introduction: Grasslands cover one third of the agricultural area in Germany and are mainly used for fodder production. However, grasslands fulfill many other ecosystem functions, like carbon storage, water filtration and the provision of habitats. In Germany, grasslands are mown and/or grazed multiple times during the year. The type and timing of management activities and the use intensity vary strongly, however co-determine grassland functions. Large-scale spatial information on grassland activities and use intensity in Germany is limited and not openly provided. In addition, the cause for patterns of varying mowing intensity are usually not known on a spatial scale as data on the incentives of farmers behind grassland management decisions is not available.Methods: We applied an algorithm based on a thresholding approach utilizing Sentinel-2 time series to detect grassland mowing events to investigate mowing dynamics in Germany in 2018-2021. The detected mowing events were validated with an independent dataset based on the examination of public webcam images. We analyzed spatial and temporal patterns of the mowing dynamics and relationships to climatic, topographic, soil or socio-political conditions.Results: We found that most intensively used grasslands can be found in southern/south-eastern Germany, followed by areas in northern Germany. This pattern stays the same among the investigated years, but we found variations on smaller scales. The mowing event detection shows higher accuracies in 2019 and 2020 (F1 = 0.64 and 0.63) compared to 2018 and 2021 (F1 = 0.52 and 0.50). We found a significant but weak (R (2) of 0-0.13) relationship for a spatial correlation of mowing frequency and climate as well as topographic variables for the grassland areas in Germany. Further results indicate a clear value range of topographic and climatic conditions, characteristic for intensive grassland use. Extensive grassland use takes place everywhere in Germany and on the entire spectrum of topographic and climatic conditions in Germany. Natura 2000 grasslands are used less intensive but this pattern is not consistent among all sites.Discussion: Our findings on mowing dynamics and relationships to abiotic and socio-political conditions in Germany reveal important aspects of grassland management, including incentives of farmers.
引用
收藏
页数:21
相关论文
共 90 条
[1]   Application of Repeat-Pass TerraSAR-X Staring Spotlight Interferometric Coherence to Monitor Pasture Biophysical Parameters: Limitations and Sensitivity Analysis [J].
Ali, Iftikhar ;
Barrett, Brian ;
Cawkwell, Fiona ;
Green, Stuart ;
Dwyer, Edward ;
Neumann, Maxim .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (07) :3225-3231
[2]   ESTIMATION OF GRASSLAND USE INTENSITIES BASED ON HIGH SPATIAL RESOLUTION LAI TIME SERIES [J].
Asam, S. ;
Klein, D. ;
Dech, S. .
36TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 2015, 47 (W3) :285-291
[3]   Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches [J].
Barrett, Brian ;
Nitze, Ingmar ;
Green, Stuart ;
Cawkwell, Fiona .
REMOTE SENSING OF ENVIRONMENT, 2014, 152 :109-124
[4]   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)
[5]   Vulnerability of European ecosystems to two compound dry and hot summers in 2018 and 2019 [J].
Bastos, Ana ;
Orth, Rene ;
Reichstein, Markus ;
Ciais, Philippe ;
Viovy, Nicolas ;
Zaehle, Sonke ;
Anthoni, Peter ;
Arneth, Almut ;
Gentine, Pierre ;
Joetzjer, Emilie ;
Lienert, Sebastian ;
Loughran, Tammas ;
McGuire, Patrick C. ;
Sungmin, O. ;
Pongratz, Julia ;
Sitch, Stephen .
EARTH SYSTEM DYNAMICS, 2021, 12 (04) :1015-1035
[6]   Ecotypes of European grass species respond differently to warming and extreme drought [J].
Beierkuhnlein, Carl ;
Thiel, Daniel ;
Jentsch, Anke ;
Willner, Evelin ;
Kreyling, Juergen .
JOURNAL OF ECOLOGY, 2011, 99 (03) :703-713
[7]   Grasslands-more important for ecosystem services than you might think [J].
Bengtsson, J. ;
Bullock, J. M. ;
Egoh, B. ;
Everson, C. ;
Everson, T. ;
O'Connor, T. ;
O'Farrell, P. J. ;
Smith, H. G. ;
Lindborg, R. .
ECOSPHERE, 2019, 10 (02)
[8]   Explaining grassland biomass - the contribution of climate, species and functional diversity depends on fertilization and mowing frequency [J].
Bernhardt-Roemermann, Markus ;
Roemermann, Christine ;
Sperlich, Stefan ;
Schmidt, Wolfgang .
JOURNAL OF APPLIED ECOLOGY, 2011, 48 (05) :1088-1097
[9]   Landscape dynamics in Germany [J].
Bruns, D ;
Ipsen, D ;
Bohnet, I .
LANDSCAPE AND URBAN PLANNING, 2000, 47 (3-4) :143-158
[10]  
Bundesamt fur Naturschutz, 2020, LAG NAT DEUTSCHL ERG