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Correction to Land 2023, 12(5), 1054.
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Correction

Correction: Brandolini et al. The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes. Land 2023, 12, 1054

1
McCord Centre for Landscape, School of History, Classics and Archaeology, Newcastle University, Armstrong Building, Newcastle upon Tyne NE17RU, UK
2
Dipartimento di Scienze della Terra “Ardito Desio”, Università degli Studi di Milano, 20133 Milano, Italy
*
Author to whom correspondence should be addressed.
Land 2023, 12(11), 2015; https://doi.org/10.3390/land12112015
Submission received: 9 October 2023 / Revised: 17 October 2023 / Accepted: 18 October 2023 / Published: 3 November 2023
(This article belongs to the Special Issue Historical Landscape Evolution)

Error in Figures

In the original publication [1], there was a mistake in Figure 7 as published. The total soil loss results were not correct due to an error in the conversion of the data from Kg/m2·s to t ha−1 year−1. The corrected Figure 7 appears below.
In the original publication, there was a mistake in Figure 8 as published. The total soil loss results were not correct due to an error in the conversion of the data from Kg/m2·s to t ha−1 year−1. The corrected Figure 8 appears below.

Error in Table

In the original publication, there was a mistake in Table 2 as published. The total soil loss results indicated in Table 2 are not correct due to an error in the conversion of the data from Kg/m2·s to t ha−1 year−1. Furthermore, for the sake of clarity, ‘soil loss’ indicates the resulting amount of soil eroded/deposited in the area. Positive numbers indicate depositions, while negative numbers indicate erosion. The corrected Table 2 appears below.
General Clarification: As suggested by the developers of r.landscape.evol, the USPED equation is best suited for modeling erosion and deposition on hillslopes and small gullies. However, it tends to significantly overpredict erosion/deposition in channels and streams. Nevertheless, the research goal was to display the trend variation of erosion/deposition processes according to different Land Use/Land Cover scenarios. In this regard, the r.landscape.evol module yielded invaluable results regarding the potential benefits of restoring historic agroforestry systems in the area to mitigate soil erosion processes.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Brandolini, F.; Compostella, C.; Pelfini, M.; Turner, S. The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes. Land 2023, 12, 1054. [Google Scholar] [CrossRef]
Figure 7. Estimation of the total soil loss (t ha−1 year−1) in the three models (1950, 2020, and AFS). The simulation indicates that replacing current agro-pastoral land management with agroforestry systems would reduce the soil loss by 40%. Images in .tiff format covering the entire study area are provided in the Supplementary Materials.
Figure 7. Estimation of the total soil loss (t ha−1 year−1) in the three models (1950, 2020, and AFS). The simulation indicates that replacing current agro-pastoral land management with agroforestry systems would reduce the soil loss by 40%. Images in .tiff format covering the entire study area are provided in the Supplementary Materials.
Land 12 02015 g007
Figure 8. Estimation of the total soil loss (t ha−1 year−1) in Model “2050LU20” and in Model “2050AFS” considering the rainfall erosivity projections for the year 2050. The simulation indicates that restoring agroforestry systems would reduce the soil loss of rural area by 36%. Images in .tiff format covering the entire study area are provided in the Supplementary Materials.
Figure 8. Estimation of the total soil loss (t ha−1 year−1) in Model “2050LU20” and in Model “2050AFS” considering the rainfall erosivity projections for the year 2050. The simulation indicates that restoring agroforestry systems would reduce the soil loss of rural area by 36%. Images in .tiff format covering the entire study area are provided in the Supplementary Materials.
Land 12 02015 g008
Table 2. Simulated soil loss (i.e., the result of erosion and deposition processes) (t ha−1 year−1) in the three models (“1950”, “2020”, and “AFS”) for each land-use type and totals. Positive numbers indicate depositions, while negative numbers indicate erosion.
Table 2. Simulated soil loss (i.e., the result of erosion and deposition processes) (t ha−1 year−1) in the three models (“1950”, “2020”, and “AFS”) for each land-use type and totals. Positive numbers indicate depositions, while negative numbers indicate erosion.
Land Use TypeModel “1950”Model “2020”Model “AFS”
Area (ha)Soil Loss (t ha−1 year−1)Area (ha)Soil Loss (t ha−1 year−1)Area (ha)Soil Loss (t ha−1 year−1)
Agroforestry1024.830.935.660.021730.15−1.54
Arable land1220.20−4.65657.00−1.55ndnd
Grassland253.660.631067.49−0.89ndnd
Rough ground190.02−3.29190.74−6.50190.74−6.55
Urban area65.24−0.28184.26−0.45184.26−0.30
Woodland2577.432.863226.225.903226.224.98
Total5331.37−3.805331.37−3.475331.37−3.41
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MDPI and ACS Style

Brandolini, F.; Compostella, C.; Pelfini, M.; Turner, S. Correction: Brandolini et al. The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes. Land 2023, 12, 1054. Land 2023, 12, 2015. https://doi.org/10.3390/land12112015

AMA Style

Brandolini F, Compostella C, Pelfini M, Turner S. Correction: Brandolini et al. The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes. Land 2023, 12, 1054. Land. 2023; 12(11):2015. https://doi.org/10.3390/land12112015

Chicago/Turabian Style

Brandolini, Filippo, Chiara Compostella, Manuela Pelfini, and Sam Turner. 2023. "Correction: Brandolini et al. The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes. Land 2023, 12, 1054" Land 12, no. 11: 2015. https://doi.org/10.3390/land12112015

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