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  • 11
    In: Precision Agriculture, Springer Science and Business Media LLC, Vol. 22, No. 2 ( 2021-04), p. 493-523
    Abstract: Soil acidification is caused by natural paedogenetic processes and anthropogenic impacts but can be counteracted by regular lime application. Although sensors and applicators for variable-rate liming (VRL) exist, there are no established strategies for using these tools or helping to implement VRL in practice. Therefore, this study aimed to provide guidelines for site-specific liming based on proximal soil sensing. First, high-resolution soil maps of the liming-relevant indicators (pH, soil texture and soil organic matter content) were generated using on-the-go sensors. The soil acidity was predicted by two ion-selective antimony electrodes (RMSE pH : 0.37); the soil texture was predicted by a combination of apparent electrical resistivity measurements and natural soil-borne gamma emissions (RMSE clay : 0.046 kg kg −1 ); and the soil organic matter (SOM) status was predicted by a combination of red (660 nm) and near-infrared (NIR, 970 nm) optical reflection measurements (RMSE SOM : 6.4 g kg −1 ). Second, to address the high within-field soil variability (pH varied by 2.9 units, clay content by 0.44 kg kg −1 and SOM by 5.5 g kg −1 ), a well-established empirical lime recommendation algorithm that represents the best management practices for liming in Germany was adapted, and the lime requirements (LRs) were determined. The generated workflow was applied to a 25.6 ha test field in north-eastern Germany, and the variable LR was compared to the conventional uniform LR. The comparison showed that under the uniform liming approach, 63% of the field would be over-fertilized by approximately 12 t of lime, 6% would receive approximately 6 t too little lime and 31% would still be adequately limed.
    Type of Medium: Online Resource
    ISSN: 1385-2256 , 1573-1618
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2016333-2
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  • 12
    In: Journal of Applied Ecology, Wiley, Vol. 57, No. 10 ( 2020-10), p. 2075-2085
    Abstract: Die Anreicherung von Totholz ist für den Erhalt der Vielfalt von xylobionten Arten in bewirtschafteten Wäldern von wesentlicher Bedeutung. Bisherige Schutzstrategien konzentrieren sich jedoch hauptsächlich auf eine kostenintensive Anreicherung der Totholzmenge, wohingegen die Vielfalt an Totholzstrukturen vernachlässigt wird. Totholzobjekte, d.h. Äste und Stämme, von sechs verschiedenen Baumarten wurden in der Sonne, natürlich beschattet durch Baumkronen und künstlich beschattet über vier Jahre experimentell exponiert. Im Anschluss wurden die Alpha‐, Beta‐ und Gamma‐Diversität xylobionter Käfer, holzbesiedelnder Pilze und Spinnen untersucht. Die Analyse der Beta‐Diversität umfasste weiterhin die räumliche Distanz zwischen den exponierten Totholzobjekten. Ein Zufallsentnahmeverfahren wurde verwendet, um die Kombination von Baumarten und Besonnung zu identifizieren, die die höchste Gamma‐Diversität bei einem Minimum an exponierter Totholzmenge ergab. Bei Besonnung war die Artenzahl aller untersuchten Artengruppen in Stämmen höher als bei Beschattung, wohingegen für xylobionte Käfer aus Ästen das Gegenteil beobachtet wurde. Die Baumart beeinflusste die Artenzahl nur von xylobionten Käfern und holzbesiedelnden Pilzen. Die Beta‐Diversität xylobionter Käfer und holzbesiedelnder Pilze wurde durch die Baumart und die Besonnung beeinflusst, die Beta‐Diversität der Spinnen hingegen nur durch die Besonnung. Für alle xylobionten Artengruppen in Stämmen stiegen die Unterschiede zwischen den Artgemeinschaften mit ansteigender räumlicher Distanz. Eine Kombination aus natürlich beschatteten Stämmen von Carpinus und besonnten Stämmen von Populus ergab die höchste Artenvielfalt aller untersuchten xylobionten Artengruppen unter allen möglichen Kombinationen von Baumarten und unterschiedlicher Besonnung. Synthese und Anwendungen. Wir empfehlen, dass die Anreicherung von Totholz unterschiedlicher Baumarten bei variierender Besonnung in bestehende Schutzstrategien einbezogen wird. Auf Grundlage unserer Ergebnisse schlagen wir vor, dass Stämme von Laubweichholz (z.B. Carpinus und Populus ), Laubhartholz (z.B. Quercus ) und Nadelholz (z.B. Pinus ) bei unterschiedlicher Besonnung räumlich verteilt in der Landschaft angereichert werden sollten, um einen größtmöglichen, positiven Effekt für die Artenvielfalt zu erzielen.
    Type of Medium: Online Resource
    ISSN: 0021-8901 , 1365-2664
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2020408-5
    detail.hit.zdb_id: 410405-5
    SSG: 12
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  • 13
    In: Precision Agriculture, Springer Science and Business Media LLC, Vol. 23, No. 1 ( 2022-02), p. 127-149
    Abstract: Liming agricultural fields is necessary for counteracting soil acidity and is one of the oldest operations in soil fertility management. However, the best management practice for liming in Germany only insufficiently considers within-field soil variability. Thus, a site-specific variable rate liming strategy was developed and tested on nine agricultural fields in a quaternary landscape of north-east Germany. It is based on the use of a proximal soil sensing module using potentiometric, geoelectric and optical sensors that have been found to be proxies for soil pH, texture and soil organic matter (SOM), which are the most relevant lime requirement (LR) affecting soil parameters. These were compared to laboratory LR analysis of reference soil samples using the soil’s base neutralizing capacity (BNC). Sensor data fusion utilizing stepwise multi-variate linear regression (MLR) analysis was used to predict BNC-based LR (LR BNC ) for each field. The MLR models achieved high adjusted R 2 values between 0.70 and 0.91 and low RMSE values from 65 to 204 kg CaCO 3 ha −1 . In comparison to univariate modeling, MLR models improved prediction by 3 to 27% with 9% improvement on average. The relative importance of covariates in the field-specific prediction models were quantified by computing standardized regression coefficients (SRC). The importance of covariates varied between fields, which emphasizes the necessity of a field-specific calibration of proximal sensor data. However, soil pH was the most important parameter for LR determination of the soils studied. Geostatistical semivariance analysis revealed differences between fields in the spatial variability of LR BNC . The sill-to-range ratio (SRR) was used to quantify and compare spatial LR BNC variability of the nine test fields. Finally, high resolution LR maps were generated. The BNC-based LR method also produces negative LR values for soil samples with pH values above which lime is required. Hence, the LR maps additionally provide an estimate on the quantity of chemically acidifying fertilizers that can be applied to obtain an optimal soil pH value.
    Type of Medium: Online Resource
    ISSN: 1385-2256 , 1573-1618
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2016333-2
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  • 14
    In: Oikos, Wiley, Vol. 129, No. 10 ( 2020-10), p. 1579-1588
    Abstract: The evolutionary split between gymnosperms and angiosperms has far‐reaching implications for the current communities colonizing trees. The inherent characteristics of dead wood include its role as a spatially scattered habitat of plant tissue, transient in time. Thus, local assemblages in deadwood forming a food web in a necrobiome should be affected not only by dispersal ability but also by host tree identity, the decay stage and local abiotic conditions. However, experiments simultaneously manipulating these potential community drivers in deadwood are lacking. To disentangle the importance of spatial distance and microclimate, as well as host identity and decay stage as drivers of local assemblages, we conducted two consecutive experiments, a 2‐tree species and 6‐tree species experiment with 80 and 72 tree logs, respectively, located in canopy openings and under closed canopies of a montane and a lowland forest. We sampled saproxylic beetles, spiders, fungi and bacterial assemblages from logs. Variation partitioning for community metrics based on a unified framework of Hill numbers showed consistent results for both studies: host identity was most important for sporocarp‐detected fungal assemblages, decay stage and host tree for DNA‐detected fungal assemblages, microclimate and decay stage for beetles and spiders and decay stage for bacteria. Spatial distance was of minor importance for most taxa but showed the strongest effects for arthropods. The contrasting patterns among the taxa highlight the need for multi‐taxon analyses in identifying the importance of abiotic and biotic drivers of community composition. Moreover, the consistent finding of microclimate as the primary driver for saproxylic beetles compared to host identity shows, for the first time that existing evolutionary host adaptions can be outcompeted by local climate conditions in deadwood.
    Type of Medium: Online Resource
    ISSN: 0030-1299 , 1600-0706
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2025658-9
    detail.hit.zdb_id: 207359-6
    SSG: 12
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