Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

Bogunović, Igor; Viduka, Antonio; Magdić, Ivan; Telak, Leon Josip; Francos, Marcos; Pereira, Paulo

doi:10.3390/agronomy10091331

Cited by 23 publications

(12 citation statements)

References 85 publications

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“…Land use changing can change land cover and associated carbon stocks (Deng et al, 2014). The results of present study are in agreement with those of Bogunovic et al (2020), in which the organic matter stocks were higher in the forest soil compared to the plots with intensively tilled cropland, vineyard, and traditional grass-covered orchard. Similarly, losses of organic matter stocks after forest to cropland conversion have mostly been reported in previous studies (Beheshti et al, 2012;Wang et al, 2015).…”

Section: Discussionsupporting

confidence: 89%

“…Compared to forest soil, recorded values of bulk and real density are higher in agricultural land subjected to various types of agricultural use (Bogunovic et al, 2020). In the study of Bini et al (2013), lower densities were observed in soils that were subject to less anthropogenic intervention such as natural forests.…”

Section: Discussionmentioning

confidence: 83%

“…A slight decrease in moisture and retention capacity in the converted soil was reported by numerous studies. It was reported that changes in land use alter their moisture (Bahilu et al, 2016) and decrease its water retention capacity (Bogunovic et al, 2020). The decrease in the properties of water may be caused by organic matter deficit recorded in agricultural land.…”

Section: Discussionmentioning

confidence: 99%

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Changes in soil physico-chemical and biological quality after two decades of forest soil conversion to agricultural land

Allam¹,

Zouidi

Kefifa³

et al. 2023

Zemdirbyste-Agriculture

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The development of agriculture to the detriment of the forest is one of the strongest pressures, essentially anthropogenic. The particularity of this study was that the traditional agricultural practice used was low intensity agriculture (fallow period) since the first conversion. The experiment was conducted in the Keroua forest, Saïda Province, north-western Algeria. Soil samples from two experimental areas were collected at depths ranging from 0 to 10 cm. The findings came from the statistical analysis of the data, some of which revealed the sensitivity of this ecosystem. The conversion of the forest soil to agricultural land increased the alkalinity of the soil (pH H2O increased by 0.16 units), and the acidification of the soil with a significant decrease in pH KCl values (by 0.24 units). Moreover, the organic matter content in the converted soil decreased by more than 50%, while the physical characteristics changed slightly with a decrease in moisture content and water holding capacity and an increase in bulk and real density. Meanwhile, the permeability and total porosity did not change in the two areas. For biological properties, basal respiration and microbial biomass decreased by more than 45% in the converted soil compared to the forest soil.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

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Changes in soil physico-chemical and biological quality after two decades of forest soil conversion to agricultural land

Allam¹,

Zouidi

Kefifa³

et al. 2023

Zemdirbyste-Agriculture

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“…Other research has evaluated peri-urban agricultural multifunctionality and agroecosystem services [37][38][39][40]. Research has noted the diverse functions of urban agriculture [41,42], providing a variety of ES [43] but also producing many negative services [44][45][46].…”

Section: Introductionmentioning

confidence: 99%

Agricultural Transformation and Its Impact on Ecosystem Services and Human Well-Being in Peri-Urban Areas: The Case of Xi’an, China

Zhong-xue

Liu

Zheng

et al. 2022

Land

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There is a gap in understanding the relationships between the transformation of agricultural landscapes, ecosystem services and human well-being in the peri-urban fringe of major cities worldwide. In this paper, we use semi-structured interviews, perception surveys, social surveys and field mapping to examine linkages between agricultural and landscape transition, ecosystem services and human well-being in five sample villages in Xi’an metropolitan zone, China. The results indicate that: (1) Agricultural change has increased landscape fragmentation, with a shift from grain to more profitable horticulture and nursery production. The farming system is more diversified and exhibits a multifunctional character. (2) This transformation has had a significant impact on the character of the agroecosystem. (3) The agricultural transformation towards greater multifunctionality has increased the supply of ecosystem services, including tourism-related activities, potentially improving human well-being. (4) Different combinations of activities in the sample villages were evaluated with respect to a well-being index, indicating the importance of combining horticulture and tourism. (5) Linkages identified between agricultural transformation, ecosystem services and human well-being may have significant implications for potential approaches within future studies.

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“…These socio-ecological maps can be used in the study of scenarios of change and, therefore, in the management of the sustainability. The drivers of change (e.g., emigration, aging or land-use changes, including intensification) [10,11] will transform the socio-ecological landscape, modifying not only spatial units but also spatial boundaries, affecting the delivery of ecosystem services.…”

Section: Introductionmentioning

confidence: 99%

A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks

et al. 2021

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Detecting socio-ecological boundaries in traditional rural landscapes is very important for the planning and sustainability of these landscapes. Most of the traditional methods to detect ecological boundaries have two major shortcomings: they are unable to include uncertainty, and they often exclude socio-economic information. This paper presents a new approach, based on unsupervised Bayesian network classifiers, to find spatial clusters and their boundaries in socio-ecological systems. As a case study, a Mediterranean cultural landscape was used. As a result, six socio-ecological sectors, following both longitudinal and altitudinal gradients, were identified. In addition, different socio-ecological boundaries were detected using a probability threshold. Thanks to its probabilistic nature, the proposed method allows experts and stakeholders to distinguish between different levels of uncertainty in landscape management. The inherent complexity and heterogeneity of the natural landscape is easily handled by Bayesian networks. Moreover, variables from different sources and characteristics can be simultaneously included. These features confer an advantage over other traditional techniques.

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Agricultural and Forest Land-Use Impact on Soil Properties in Zagreb Periurban Area (Croatia)

Cited by 23 publications

References 85 publications

Changes in soil physico-chemical and biological quality after two decades of forest soil conversion to agricultural land

Changes in soil physico-chemical and biological quality after two decades of forest soil conversion to agricultural land

Agricultural Transformation and Its Impact on Ecosystem Services and Human Well-Being in Peri-Urban Areas: The Case of Xi’an, China

A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks

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