Catena最新文献

{"title":"Early-mid Holocene vegetation and diversity evolution on the Ningshao Plain, eastern China","authors":"","doi":"10.1016/j.catena.2024.108446","DOIUrl":"10.1016/j.catena.2024.108446","url":null,"abstract":"<div><div>The study of Holocene vegetation diversity changes and mechanisms in the Ningshao Plain is of great significance for understanding their responses to the coupled relationship between climate, sea level, and human activities. In this study, we analyzed pollen and charcoal from the Tianluoshan and Jingtoushan sites (TLS1402 and JTS1501) to represent the regional vegetation history, particularly changes in vegetation diversity during the early to mid-Holocene. The findings show that after 7.5 cal kyr BP, arboreal pollen (AP) declined significantly and that subtropical evergreen deciduous broad-leaved mixed forest replaced deciduous broad-leaved forest as the predominant vegetation type. The increase in Poaceae (&gt;38 μm) and charcoal corresponds well with the decrease of AP (mainly manifested as deciduous species), suggesting that vegetation change may be related to human activities and that coniferous taxa (mainly <em>Pinus</em>) are more sensitive to fire response. Vegetation diversity based on the <em>Hill</em> numbers (<em>N</em>0, <em>N</em>1, <em>N</em>2 and Evenness) is shown to decline three times, viz. at 8.5, 8.2, and 7.5 cal kyr BP, among which the decrease around 8.5 and 7.5 cal kyr BP corresponds to two regional sea level rise events. The decrease in Jingtoushan diversity at 8.2 cal kyr BP may have superimposed signals of human interference beyond the influence of climate. The development of the Jingtoushan Culture commenced after the first sea level rise events (around 8.3–7.8 cal kyr BP), but was then interrupted by the second sea level transgression. Thereafter, the sea level became relatively stable, and the emergence of fire-assisted agriculture marked a new stage in the relationship between humans and the environment. Changes in vegetation diversity are closely related to regional fires and human activities. In addition, during the Jingtoushan and Hemudu cultures, the impact of human activities on AP diversity was significantly greater than that on non-arboreal pollen (NAP) taxa.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the RUSLE-based structural sediment connectivity approach for agricultural erosion management","authors":"","doi":"10.1016/j.catena.2024.108420","DOIUrl":"10.1016/j.catena.2024.108420","url":null,"abstract":"<div><div>Models play a crucial role in guiding agricultural erosion management, though their incorporation of sediment connectivity and management strategies varies. This study evaluated the RUSLE/IC/SDR model’s potential for simulating agricultural erosion management at both the field scale and across two catchments. We tested the model’s ability to simulate erosion management measures at a high spatial resolution (2 m × 2 m) across diverse topographies, assessed whether incorporating sediment connectivity improves RUSLE-based erosion management planning within catchments, and explored its capacity to tailor measures based on local connectivity characteristics. Our findings showed significant variability in sediment sources and connectivity. The simulation of no-till and buffer strip measures effectively demonstrated their varying effectiveness across fields and catchments. At the catchment scale, erosion management planning that incorporates sediment connectivity through the RUSLE/IC/SDR approach did not contribute to significant additional sediment delivery reduction compared to using RUSLE alone. However, at the field scale, RUSLE/IC/SDR offered improved opportunities for tailoring erosion management measures to local sediment connectivity characteristics. These simulations highlight both the potential and limitations of RUSLE/IC/SDR, advancing our understanding of its application for erosion management. In conclusion, while RUSLE/IC/SDR represents a valuable extension of RUSLE, further research is needed to fully realize its practical applications. Nonetheless, it shows promise for high-resolution simulation of sediment connectivity and erosion management at the field scale, across large catchments and regions.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of calculation unit division in distributed hydrological models on the analysis of hydrological effects of land use change","authors":"","doi":"10.1016/j.catena.2024.108445","DOIUrl":"10.1016/j.catena.2024.108445","url":null,"abstract":"<div><div>Numerous papers have utilized distributed hydrological models to assess the hydrological effects of land use changes. However, can these models reflect actual land use changes? This study focuses on the effect of calculation unit division in distributed hydrological models on the analysis of hydrological effects of land use change. The Soil and Water Assessment Tool (SWAT) model is tested here, using the Dongjiang headwater region in southern China as the study area. Thirteen calculation unit division schemes are developed to analyze the effects of land use generalization caused by calculation unit division on runoff and sediment load simulations by SWAT. Two indices, including Land Use Identification Accuracy (LUIA) and Land Use Change Identification Accuracy (LUCIA) are employed to quantify the model’s precision in describing land use and changes under various scenarios. In addition, this study examines how differences in land use descriptions, resulting from calculation unit division, influence the hydrological effect of land use changes in the SWAT model. The findings indicate that: (1) Calculation unit division leads to the generalization of land uses identified by the SWAT model. As the sub-watershed Drainage Area Threshold (DAT) increases, the small land use types tend to aggregate into the larger land use types. (2) Land use generalization, resulting from calculation unit division, significantly affects runoff and sediment load simulations. An increase in DAT induces a significant rise in simulated runoff and sediment load (P&lt;0.001). (3) Calculation unit division substantially impacts the model’s description of land use. LUIA and LUCIA show a significant downward trend as DAT increases. (4) Calculation unit division significantly alters the analysis results of hydrological effects of land use changes. Different calculation unit division schemes yield different analysis results of hydrological effects of land use changes. These results demonstrate that the division of calculation units in the SWAT model leads to land use generalization, which impacts the model’s description of land use changes and subsequently affects the assessment of the hydrological effects of land use changes. The research results imply that when analyzing the hydrological effects of land use change, a more refined calculation unit division scheme should be adopted as far as possible to improve the accuracy of model’s description of land use change and reduce the uncertainty of model simulation results.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of roots and earthworms on aggregate size distribution and their associated carbon under contrasting soil types and soil moisture conditions","authors":"","doi":"10.1016/j.catena.2024.108434","DOIUrl":"10.1016/j.catena.2024.108434","url":null,"abstract":"<div><div>Soil’s potential as a carbon sink is uncertain due to biotic and abiotic interactions. Soil aggregates are important carriers of organic carbon (OC), and clarifying the response of aggregates and their associated OC to plant roots and earthworms can better understand the carbon cycle in terrestrial ecosystems. Herein, we determined the regulatory role of plant roots (<em>Lolium perenne</em>) and earthworms (<em>Metaphire tschiliensis</em>) in isolation and in combination on aggregate size distribution and their associated OC and readily oxidizable OC (ROOC) under contrasting soil types (Phaeozems and Anthrosols) and soil moisture conditions (constant wetting, CW; wetting–drying cycle repeated four times, 4WD) by a laboratory microcosm experiment. Results showed that earthworm presence significantly increased plant biomass by 30 % and 221 % in Phaeozems and Anthrosols, respectively (<em>p</em> &lt; 0.05). For Phaeozems, plant alone (P) and plant and earthworm in combination (PE) had lower proportion of large aggregate (5–8 and 2–5 mm) than bare soil (CK) under 4WD condition (<em>p</em> &lt; 0.05). For Anthrosols, the PE treatment decreased the proportion of 5–8 and 2–5 mm aggregate by 45 % and 25 %, respectively, under CW condition, and decreased the proportion of 5–8 mm aggregate by 37 % under 4WD condition (<em>p</em> &lt; 0.05). Moreover, the proportion of 5–8 and 2–5 mm aggregate in P treatment was lower under CW condition (6.92 % and 22.13 %) but was higher under 4WD condition (11.49 % and 32.55 %) than those in CK (14.69 % and 29.91 %; 8.85 % and 20.56 %) (<em>p</em> &lt; 0.05). Our results further indicated that the PE treatment had relatively higher OC and ROOC contents, especially for small aggregates in Anthrosols. The study indicates that plant roots and earthworms significantly influence aggregate turnover and the carbon cycle, with soil type and moisture playing a crucial role.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climatic Oscillations and Dynastic Trends: A Multiproxy analysis of the past two millennia in the Indian Subcontinent","authors":"","doi":"10.1016/j.catena.2024.108424","DOIUrl":"10.1016/j.catena.2024.108424","url":null,"abstract":"<div><div>The study examines centennial-scale climatic oscillations over the past two millennia in the monsoon-dominated Indian subcontinent by multiproxy analysis of pollen along with stable carbon isotope, total organic carbon, magnetic susceptibility, and grain size from a 274 cm deep sediment profile in Sarsapukhra Lake, Varanasi, in the Central Ganga Plain (CGP) to portray vegetation changes and their impact on rise and fall of dominant dynasties. Between ∼1800 to 1600 cal yr BP, the coarser silty sand with few Poaceae and Asteraceae pollen with other proxy data, indicate that the region experienced a strong Indian Summer Monsoon (ISM). Subsequently, from ∼1600 to 1350 cal yr BP, presence of mixed moist deciduous taxa such as <em>Shorea robusta, Madhuca indica</em>, Rubiaceae, <em>Morus alba</em>, <em>Syzygium</em>, and Moraceae indicate a moderate ISM while between 1350 to 1200 cal yr BP, the dominance of dry deciduous taxa viz. <em>Acacia</em> sp., <em>Bombax ceiba</em>, <em>Holoptelea</em>, Rutaceae, <em>Madhuca indica</em>, <em>Mangifera indica</em> etc. suggested weak ISM conditions. A pulsative ameliorating trend from ∼1200 to 1030 cal yr BP showed the dominance of deciduous taxa such as <em>Holoptelea</em>, Rutaceae, <em>Ziziphus</em>, Rubiaceae, <em>Maytenus</em> and Acanthaceae etc. indicating warm and moist climatic conditions, followed by a weak ISM until ∼900 cal yr BP and improved ISM until 620 cal yr BP. Subsequently, an improving trend in the ISM from ∼620 to 450 cal yr BP was observed, with increased dominance of wetland taxa, followed by acute dry climate beyond ∼450 cal yr BP indicating poor ISM conditions.</div><div>Additionally, the alternating warm and cold episodes had a direct impact on vegetation, forcing human civilizations to migrate from their original locations and contributing to the downfall of prominent dynasties. Furthermore, this study lays the foundation for future research into issues related to vegetation change, the amount of ISM shift, and human culture−climate relationship.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Space-time modeling of cascading hazards: Chaining wildfires, rainfall and landslide events through machine learning","authors":"","doi":"10.1016/j.catena.2024.108452","DOIUrl":"10.1016/j.catena.2024.108452","url":null,"abstract":"<div><div>The current study sets out to explore yearly landslide susceptibility dynamics on slopes regularly affected by fires. To do so, two yearly inventories have been generated, one for the landslides and one for the wildfires, for an area of approximately 2 km² and for a period of 24 years. It is important to stress that space–time data-driven models employed for susceptibility assessment are relatively new, and their application so far has mostly linked landslide occurrences to the precipitation trigger and the standard morphometric characteristics of the landscape at hand. Here we also consider an additional element of disturbance to the slope equilibrium, in the form of burnt areas tested from one up to three years priors to the reference landslide occurrence time. The relevance of the wildfire spatiotemporal signal is tested as part of a multi-variate modeling procedure. The results highlight at least a 10 % performance increase when these wildfire-related predictors are featured (from an average AUC of 0.75 to 0.85 in a random forest modeling framework). The associated yearly variations in the landslide occurrence probability are translated into individual maps, stressing the extent to which the standard and static definition of susceptibility does not hold especially in the context of multiple hazards and in an urban setting such as the <em>Camaldoli</em> hills (Naples, Italy) we chose for our test site.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolution of pore structure and cement composition during weathering of conglomerate at Mogao Grottoes in alkaline and arid regions, NW China","authors":"","doi":"10.1016/j.catena.2024.108453","DOIUrl":"10.1016/j.catena.2024.108453","url":null,"abstract":"<div><div>Numerous conglomerate grottoes have been excavated and preserved in the arid and alkaline regions of NW China. After millennia of weathering, these conglomerate grottoes have suffered from various weathering issues (such as seepage and collapse) that are internally governed by the distribution of pore networks and the degree of cementation. However, studies on conglomerate weathering have mostly been reported in humid and tropical climates, where intensive chemical weathering occurs. Additionally, characterizations of pore evolution during conglomerate weathering have been restricted due to limitations in detecting pore size and pore type using a single pore characterization method. To fill this gap, this study jointly used mercury intrusion porosimetry (MIP) and computed tomography (CT) to characterize the pore evolution process during conglomerate weathering at Mogao Grottoes, a world heritage site in NW China. Mineralogical, hydrological, mechanical and microscopic characterization were also conducted to understand the changes in compositions of bulk samples and cements during weathering. Results revealed that the majority of pores in conglomerate are concentrated in macropores &gt; 5 μm, followed by mesopores and micropores. During weathering, volume fraction of macropores significantly increases and that of micropores decreases, with median/average pore diameters experiencing an 8- to 10-fold increase. Permeability, porosity and fractal dimension exhibited strong positive linear correlations with median/average pore diameters. Throughout weathering, the abundances of calcite and clay minerals show notable decrease, particularly in cements, resulting in an enrichment of feldspars. Frequently occurring sand-carrying wind activities and salt weathering in arid regions are inferred to be responsible for the major cement loss and porosity generation through physical processes. Our combined MIP-CT method for pore network characterization is also applicable to other lithologies with a wide range of pore sizes. The proposed mechanism of pore evolution and cementation failure provides a scientific base for protecting stone heritages in arid zones.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Defining watershed-scale sediment delivery ratio using functional connectivity: Exploring the relationship between monthly-scale sediment delivery ratio and soil erosion — A case study from a karst watershed","authors":"","doi":"10.1016/j.catena.2024.108443","DOIUrl":"10.1016/j.catena.2024.108443","url":null,"abstract":"<div><div>Sediment delivery ratio (SDR) is associated with soil erosion and deposition processes at watershed scale. Accounting for the spatiotemporal variability of SDR is crucial for accurately assessing sediment yields and identifying hotspots of downstream sediment sources. This study aims to improve sediment connectivity index by integrating surface and climatic characteristics of karst regions in southern China and then to develop a monthly SDR model. The Revised Universal Soil Loss Equation (RUSLE) is optimized to develop a RUSLE_k model more suitable for the karst regions. Using the developed models, erosion and sediment delivery were simulated over a decade in a karst watershed in southern China. Based on these simulations, a sediment erosion and delivery (ED) framework is formulated to prioritize areas for sediment control. The results indicated substantial temporal variability in both inter-annual and intra-annual SDR. SDR was highest in June and May and lowest in August during the period from 2012 to 2021. Intra-annual SDR variation was primarily driven by rainfall and vegetation, while inter-annual SDR variation was predominantly influenced by rainfall. Shrub areas in the southern and northern parts of the watershed exhibited high SDR in winter, while cropland areas in the central part maintained consistently high SDR throughout the year. The ED framework indicated a decoupling relationship between erosion and sediment delivery in most sub-basins; however, in June, most sub-basins were hotspots for both erosion and sediment delivery. Despite lower SDR values in July, sediment yield peaked due to high soil erosion modulus. Six sub-basins near the watershed outlet were identified as priority areas for sediment management. This study introduces a novel method for quantifying monthly-scale SDR, aiming to uncover the spatiotemporal patterns of sediment delivery and identify priority management areas within the watershed. It thus provides scientific references for soil and water conservation management in karst watersheds amidst the challenges of climate change.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of rhizospheric organic carbon fractions and accumulation in four different vegetations of coastal saline-alkali soils","authors":"","doi":"10.1016/j.catena.2024.108454","DOIUrl":"10.1016/j.catena.2024.108454","url":null,"abstract":"<div><div>Rhizosphere processes are key pathways through which plants influence the carbon cycling of diverse ecosystems and are closely associated with vegetation types. However, the environmental responses of rhizospheric soil organic carbon (SOC) mediated by the interaction between rhizosphere effect and vegetation type remain uncertain, severely limiting our assessment of the carbon sequestration potential of different coastal vegetation. Here, we identified the core factors driving changes in various soil carbon fractions in the rhizosphere of four coastal vegetation types by testing the contents of the reactive, dissolved, particulate, mineral-associated, heavy and light fractions of SOC and their relationships with physicochemical properties and enzyme activities. It was found that the rhizosphere effect significantly influenced SOC, with rhizospheric SOC contents varying significantly among vegetation types, ranging from 2.12 to 9.04 g/kg. Besides, rhizospheric soil pH was found to contribute significantly to SOC fractions (except for light organic carbon) and exert significant inhibitory effects on SOC, reactive organic carbon, mineral-associated organic carbon and heavy organic carbon. Despite the different responses of various SOC fractions to physicochemical properties and enzyme activities, soil available phosphorus and alkaline phosphatase activity emerged as core environmental factors influencing rhizospheric SOC accumulation across different coastal vegetation types. This study presents a promising framework for understanding the determinants of SOC fractions in rhizospheric soil, and their accumulation in the vegetation of coastal saline-alkali soils. In addition to alkalinity, phosphorus acquisition capacity can be a key predictor of coastal SOC fractions and their accumulation.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Matching and driving mechanism analysis of the supply and demand relationships of soil conservation services in karst peak-cluster depression basin in Southwest Guangxi, China","authors":"","doi":"10.1016/j.catena.2024.108438","DOIUrl":"10.1016/j.catena.2024.108438","url":null,"abstract":"<div><div>The karst peak-cluster depression basin in southwestern Guangxi, characterized by a fragile ecological environment and intensive human activities, is characterized by rocky desertification and ecological function degradation. This degradation not only impairs the region’s ecological integrity but also limits its ecological and welfare benefits. Traditionally, the estimation of soil conservation service supply and demand in karst areas relies on internationally recognized models, which often exclude the critical factor of karst desertification. This omission introduces significant uncertainty in the assessment of soil supply and demand in karst terrains. To address this gap, our study employs an adapted revised universal soil loss equation model tailored for karst regions to conduct a quantitative analysis of the soil supply–demand relationship in southwestern Guangxi. We explore its spatiotemporal evolution and spatial matching characteristics utilizing geographic detectors to identify the driving factors influencing the ecological supply-to-demand ratio (ESDR). Our findings revealed the following: (1) From 2000 to 2020, the soil conservation supply–demand ratio in the study area showed a fluctuating upward trend, with an overall increase of approximately 63.29%. Specifically, there was a fluctuating increase from 2000 to 2008 and from 2013 to 2020, while a downward trend was observed from 2009 to 2012. (2) The predominant matching pattern of the soil conservation services in the research area was “low supply, low demand”, which was primarily located in the southeastern part of southwestern Guangxi. (3) The supply–demand relationship of soil conservation services is significantly influenced by factors such as vegetation coverage, slope, soil type, and lithology, with each factor exhibiting a marked interactive effect on the ESDR. This study evaluates and reveals the supply–demand relationship and driving mechanisms of soil conservation services in the karst region of southwestern Guangxi, which contributes to the precise formulation of strategies for rocky desertification prevention and ecological restoration.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}