Determination of the relationship among compound Topographic Index (CTI), soil properties and land-use in karst ecosystems

Dindaroğlu, Turgay; Тунгуз, Весна; Babür, Emre; Menshov, О.; Battaglia, Martín Leonardo

doi:10.1080/02723646.2021.1961361

Cited by 8 publications

(4 citation statements)

References 71 publications

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“…Soil pH, SOC, TN, C/N ratio and SM ranges, maximum and average values were higher in the depressed than the non-depressed areas in most comparisons across the different land uses (Table 2-3). This difference in the study area is the result of the effects of topography, which is one of the main soil forming factors modeling the lanscape features in karstic ecosystems (Dindaroglu et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

Impact of Depression Areas and Land-Use Change in the Soil Organic Carbon and Total Nitrogen contents in a Semi-Arid Karst Ecosystem

Dindaroğlu

Babür

Battaglia

et al. 2021

CERNE

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Background: Depression areas are essential structural components of Karst ecosystems. Their influence in the carbon and nitrogen dynamics under different land uses, which could be effectively used to define management strategies aiming to combat global warming, however, is not clear. This study investigated the changes in selected soil attributes across four land use types (forest, degraded forest, rangeland and cropland) both in depressed and non-depressed areas in a karst ecosystem in Kahramanmaras, Turkey. Soil attributes investigated in this study included soil pH, soil moisture (SM), soil organic carbon (SOC), total nitrogen content (TN), available water (AW), hydraulic conductivity (HC), root rate (RR) and C/N ratio.Results: Discriminant analyses showed that N, AW, SOC, pH and landuse were the most effective variables affecting the distinction between depression and none-depression areas in karstic ecosystems. According to the structural matrix, the most important single factor affecting the distinction between depression and none-depression areas was SOC, with a correlation coefficient of 0.62. Highest values for SOC, TN and other attributes were found in forest and rangeland land use types, while minimum values were found in cropland land use in most comparisons. Depression areas reduced the negative effects of land use in terms of C, TN, C/N, SM, and RR. Conclusion:As a result, while constructing restoration plans, the study area should be evaluated from a geo-ecological perspective. Ecological capabilities of depression areas should be considered especially in karst environments.

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Section: Resultsmentioning

confidence: 99%

Impact of Depression Areas and Land-Use Change in the Soil Organic Carbon and Total Nitrogen contents in a Semi-Arid Karst Ecosystem

Dindaroğlu

Babür

Battaglia

et al. 2021

CERNE

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“…There was a negative correlation between the composite topographic index and wild boar habitat suitability at a small spatial scale of 0.5 km. The composite topographic index is a proxy for environmental moisture status and soil moisture (Dindaroglu et al 2020), which may affect the food supply and digging activities of wild boars in specific locations. Ferretti et al (2021) reported that the rooting behavior of wild boars is closely related to soil moisture and food resources in different locations.…”

Section: Discussionmentioning

confidence: 99%

Habitat suitability and crop damage risk caused by wild boar in Guizhou Plateau, China

Yang,

Peng,

Yang

et al. 2024

J Wildl Manag

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Crop damage caused by wild boar (Sus scrofa) in many agroforestry regions of the world has affected agricultural development and farmers' livelihoods. Understanding the patterns of wild boar crop damage is important for properly managing these conflicts, and can improve the effectiveness of existing prevention strategies. We collected a comprehensive dataset from Guizhou Province, China, from 2017 to 2020, obtained from motion‐sensitive camera monitoring, transect surveys, interview surveys, and wildlife management administrations. These data include 3,156 records of wild boar activity in natural areas and 576 records of crop damage. We applied a multi‐scale MaxEnt model to map the regional distribution of wild boar habitat suitability and crop damage risk in Guizhou Province and focused on the role of habitat suitability in wild boar crop damage from a regional perspective. Wild boar habitat suitability exhibits a divergent pattern, expanding from the central area of Guizhou Province to the eastern, northern, southern, and northwestern regions, with a gradually increasing trend. Suitability of habitat for wild boar was associated with composite topographic index, mean coldest season temperature, isothermality, Shannon diversity index, edge density, and distance to village roads. Similarly, crop damage caused by wild boars in agroforestry areas is mainly concentrated in the northeast, with the risk increasing from west to east. The risk of damage was associated with temperature seasonality, roughness, distance to village roads, precipitation in the warmest quarter, edge density, and contagion index. Furthermore, in agroforestry areas, there is a positive correlation between wild boar habitat suitability and crop damage risk, with Spearman rank correlation coefficients ranging from 0.5759 to 0.5932. This correlation is not perfectly synchronized on a regional scale. This study indicates that the relationship between habitat suitability and crop damage caused by wild boar in Guizhou Province is primarily influenced by changes in population size rather than the habitat. Consequently, we emphasize the importance of controlling wild boar populations through hunting as a way to effectively reduce the risk of crop damage in agroforestry areas, without neglecting the need for proper habitat management.

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“…The processes of decomposition of organic residues are controlled by three main factors: (a) the type of plant residues, (b) edaphic factors and (c) residue management factors [16]. Edaphic factors dominate in areas exposed to adverse weather conditions, while the type of plant residues largely plays the role of a regulator in favorable environmental conditions [17]. Many of these factors are not independent because changing one factor can affect other factors.…”

Section: Factors Controlling the Decomposition Of Harvest Residuesmentioning

confidence: 99%

Significance of Harvest Residues in Sustainable Management of Arable Land I. Decomposition of Harvest Residues

Pržulj¹,

Тунгуз

2022

AFST

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Harvest residues are parts of cultivated plants that remain on the plot after harvest or grazing. Decomposition of plant residues by microorganisms involves two simultaneous processes: mineralization and humification of carbon compounds. Decomposition processes depend on the type of plant residues, edaphic factors and residue management factors. Edaphic factors dominate in areas exposed to adverse weather conditions, while the type of plant residues largely plays the role of a regulator in favorable environmental conditions. Decomposition of plant residues takes place in two stages; phase I is relatively fast and depends on the initial nitrogen content, and phase II is relatively slow and is determined by the decomposition of lignins and phenols. In general, water-soluble fractions are degraded first, followed by structural polysaccharides, and finally lignin. Low winter temperatures and dry soil during the summer limit microbial decomposition, while microbial decomposition is greatest during the wet warm spring and autumn seasons.

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Determination of the relationship among compound Topographic Index (CTI), soil properties and land-use in karst ecosystems

Cited by 8 publications

References 71 publications

Impact of Depression Areas and Land-Use Change in the Soil Organic Carbon and Total Nitrogen contents in a Semi-Arid Karst Ecosystem

Impact of Depression Areas and Land-Use Change in the Soil Organic Carbon and Total Nitrogen contents in a Semi-Arid Karst Ecosystem

Habitat suitability and crop damage risk caused by wild boar in Guizhou Plateau, China

Significance of Harvest Residues in Sustainable Management of Arable Land I. Decomposition of Harvest Residues

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