Impact of secondary vegetation succession on soil quality in a humid Mediterranean landscape

Hall, Rutger L. van; Cammeraat, Erik; Keesstra, Saskia; Zorn, Matija

doi:10.1016/j.catena.2016.05.021

Cited by 122 publications

(63 citation statements)

References 78 publications

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“…This seems to be a very high rate of loss. In the UK, over the last two decades, successive surveys have noted a 6 · 6% decline in the number of hedgerows (Carey et al, 2008Haines-Young et al, 2000. This is a disappearance rate rather smaller (3 · 3% per decade) than of the one observed in the study area.…”

Section: Discussionmentioning

confidence: 66%

Evaluating the Role of a Protected Area on Hedgerow Conservation: The Case of a Spanish Cultural Landscape

et al. 2016

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Hedgerows are key features in agricultural landscapes performing diverse functions that are both economically and ecologically significant. Here, we quantify how the characteristics of a relict hedgerow network of a Spanish cultural landscape (Guadarrama mountains in the north of Madrid region) have changed over a single decade both inside and outside the boundaries of a Protected Area, the aim of which is to conserve cultural uses and biodiversity. A gradient of abandonment of pasture systems was detected, including a decline and loss of woody species from hedgerows associated with grazed areas towards shrub encroachment zones. These tendencies were similar inside and outside the boundaries of the Protected Area. The results highlight the management weaknesses of the Protected Area in order to achieve its objectives. Based on the results, we propose to include a specific conservation status for hedgerow landscapes in the regulatory framework of Spanish protected areas. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 66%

Evaluating the Role of a Protected Area on Hedgerow Conservation: The Case of a Spanish Cultural Landscape

et al. 2016

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“…Wen et al [38] researched the land degradation and restoration in different land use types, and the result indicated that after fields were abandoned, vegetation self-restored, and plant species composition moved toward that of the natural grassland community with time. Van Hall et al [39] found that the soil quality increased after abandonment in the form of elements such as carbon and nitrogen, which improved seed germination and vegetation growth, and made more seeds disperse into the soil. So, we could improve the soil quality in the process of vegetation restoration using the soil seed bank.…”

Section: Effects Of Disturbance On Soil Seed Bank and Vegetationmentioning

confidence: 99%

Responses of Soil Seed Bank and Vegetation to the Increasing Intensity of Human Disturbance in a Semi-Arid Region of Northern China

Xiao

Wang

et al. 2017

Sustainability

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Abstract:To provide more insights into the responses of the soil seed bank and vegetation to human disturbance intensity, we selected four land use types, including: native grassland (no human disturbance), abandoned artificial grassland (light human disturbance), artificial grassland (moderate human disturbance), and farmland (severe human disturbance) in a semi-arid climate of northern China. The species composition and density of the soil seed bank were measured, as well as the species composition and amount of vegetation. The native grassland had a significantly higher soil seed density and species richness than the other land use types. Moreover, the common species both in the soil seed bank and vegetation between the native grassland and other land use types gradually decreased as disturbance intensity increased. The abandoned artificial grassland and artificial grassland still had abundant soil seed banks according to their seed density (≥28.2% of the native grassland) and species richness (≥70.0% of the native grassland) to restore the vegetation. Conversely, it was hard to restore the vegetation on the farmland due to its low soil seed density (10.0% of the native grassland) and species richness (40.0% of the native grassland). In conclusion, human disturbance would generate significant negative effects on the soil seed bank in desertified regions in a semi-arid climate; however, the soil seed bank in land use types with light/moderate disturbance are more adapted to vegetation restoration compared with land use types with severe disturbance in a semi-arid region.

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“…Soil conservation includes the maintenance of soil fertility and quality. To determine soil quality, we need a large amount of data that is difficult to obtain due to a lack of measurements, particularly in developing regions, because of their high cost (Masto et al, 2015;Van Leeuwen et al, 2015;Van Hall et al, 2017). The development of easy, accurate and low cost ways to determine soil properties important in the evaluation of soil quality to improve the management of the soil system in areas where data is scarce or non-existent is needed (Costa et al, 2015;Pulido et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Modeling soil cation exchange capacity in multiple countries

Khaledian

Brevik

Pereira

et al. 2017

CATENA

102

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A B S T R A C TCation exchange capacity (CEC), as an important indicator for soil quality, represents soil's ability to hold positively charged ions. We attempted to predict CEC using different statistical methods including monotone analysis of variance (MONANOVA), artificial neural networks (ANNs), principal components regressions (PCR), and particle swarm optimization (PSO) in order to compare the utility of these approaches and identify the best predictor. We analyzed 170 soil samples from four different nations (USA, Spain, Iran and Iraq) under three land uses (agriculture, pasture, and forest). Seventy percent of the samples (120 samples) were selected as the calibration set and the remaining 50 samples (30%) were used as the prediction set. The results indicated that the MONANOVA (R 2 = 0.82 and Root Mean Squared Error (RMSE) = 6.32) and ANNs (R 2 = 0.82 and RMSE = 5.53) were the best models to estimate CEC, PSO (R 2 = 0.80 and RMSE = 5.54) and PCR (R 2 = 0.70 and RMSE = 6.48) also worked well and the results were very similar to each other. While the most influential variables for the various countries and land uses were different and CEC was affected by different variables in different situations, clay (positively correlated) and sand (negatively correlated) were the most influential variables for predicting CEC for the entire data set. Although the MANOVA and ANNs provided good predictions of the entire dataset, PSO gives a formula to estimate soil CEC using commonly tested soil properties. Therefore, PSO shows promise as a technique to estimate soil CEC. Establishing effective pedotransfer functions to predict CEC would be productive where there are limitations of time and money, and other commonly analyzed soil properties are available.

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Impact of secondary vegetation succession on soil quality in a humid Mediterranean landscape

Cited by 122 publications

References 78 publications

Evaluating the Role of a Protected Area on Hedgerow Conservation: The Case of a Spanish Cultural Landscape

Evaluating the Role of a Protected Area on Hedgerow Conservation: The Case of a Spanish Cultural Landscape

Responses of Soil Seed Bank and Vegetation to the Increasing Intensity of Human Disturbance in a Semi-Arid Region of Northern China

Modeling soil cation exchange capacity in multiple countries

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