Catena最新文献

{"title":"Deciphering moisture-driven divergence in soil carbon limitation via microbial necromass dynamics across arid versus humid alpine grassland restoration chronosequences","authors":"Xianzhi Deng ,&nbsp;Jie Shen ,&nbsp;Yanbao Lei ,&nbsp;Meiqun Sheng ,&nbsp;Juan Xue ,&nbsp;Geng Sun","doi":"10.1016/j.catena.2025.109207","DOIUrl":"10.1016/j.catena.2025.109207","url":null,"abstract":"<div><div>Grassland restoration enhances soil organic carbon (SOC) sequestration, a process crucial for global C cycling and climate regulation. However, the influence of aridity gradients on the successional trajectories of SOC fractions during ecological restoration on the Qinghai-Xizang Plateau remains unclear. To address this, we employed a multi-biomarker approach, utilizing amino sugars, lignin phenols, and plant lipids, to quantify microbial necromass and plant-derived C dynamics across arid-to-humid alpine grassland restoration chronosequences. Our findings revealed moisture-dependent C storage dynamics along the restoration chronosequences. In humid regions, SOC exhibited biphasic dynamics: early-stage surges occurred in both plant-derived C (an 872.9% increase, from long-chain fatty acids, suberin, and cutin) and microbial C (an 268.3% increase), followed by late-stage decline. This decline included a 48.7% decrease in subsoil, while overall plant- and microbial-derived C decreased by 67.4% and 59.7%, respectively. In contrast, arid regions maintained stable SOC, which was predominantly composed of microbial necromass (ranging from 33.9 to 52.2% of total SOC). Plant inputs in these regions were primarily limited to lignin phenol enrichment, showing increases of 235.8% in topsoil and 305.7% in subsoil, respectively, compared to unrestored sites. Fungal-derived C was the predominant contributor to microbial SOC formation, with its levels being 2.72 to 8.89 times higher than those of bacteria-derived C. Arid regions exhibited microbial-dominated SOC regulation, whereas humid regions showed stronger plant-soil feedback mediated by pH and C/N ratios. Our findings underscore the importance of microbial-driven C storage in arid regions and highlight the necessity of optimizing soil physicochemical properties in humid regions to enhance C sequestration on the Qinghai-Xizang Plateau.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"258 ","pages":"Article 109207"},"PeriodicalIF":5.4,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230249","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":"Estimation of soil organic carbon in tropical rainforest regions by combining UAV hyperspectral and LiDAR data","authors":"Zongzhu Chen ,&nbsp;Yiqing Chen ,&nbsp;Tiezhu Shi ,&nbsp;Xiaohua Chen ,&nbsp;Xiaoyan Pan ,&nbsp;Jinrui Lei ,&nbsp;Tingtian Wu ,&nbsp;Yuanling Li ,&nbsp;Qian Liu ,&nbsp;Xu Liu","doi":"10.1016/j.catena.2025.109195","DOIUrl":"10.1016/j.catena.2025.109195","url":null,"abstract":"<div><div>Accurate acquisition of soil organic carbon (SOC) is important for the stability of ecosystems and the global climate. Hyperspectral remote sensing has emerged as a significant data source for digital soil mapping. However, in ecosystems with dense canopy cover, optical sensors face challenges in directly capturing soil surface spectra due to canopy obstruction. Consequently, estimating SOC in forest ecosystems remains a difficult task. LiDAR can capture forest structural attributes and soil surface information, providing possibility for SOC estimation in forest ecosystems. To date, the potential of LiDAR data in forest SOC estimation has not been fully explored. Here, we conducted SOC investigations in two tropical rainforests. Firstly, hyperspectral and LiDAR data were collected for the study areas using unmanned aerial vehicle (UAV) platforms. Subsequently, 40 vegetation indices (VI) and 101 LiDAR-derived variables were extracted from the hyperspectral images and LiDAR data, respectively. Furthermore, the RRelieff algorithm was employed to select the most robust variables. Finally, a deep neural network (DNN) model was utilized to establish the relationship between these variables and measured SOC, and to map the spatial distribution of SOC in the rainforests. It stems from the results that carotenoid reflectance index 2 (CRI2), non-linear index (NLI), and carotenoid reflectance index 1 (CRI1) were the best VIs for forest SOC estimation. Among the LiDAR variables, canopy height model (CHM) and digital elevation model (DEM) were the most important for model building. The performance of SOC estimation model based solely on LiDAR features (R² = 0.61) surpassed that of the model using only optical VI (R² = 0.59). Additionally, the combination of VI + LiDAR feature variables achieved optimal estimation accuracy (R² = 0.76) among the tested models. This study provided strong evidence for the potential use of LiDAR data in digital soil mapping in forest ecosystems.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"258 ","pages":"Article 109195"},"PeriodicalIF":5.4,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230248","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 climatic and soil properties on soil water repellency","authors":"Maria Then ,&nbsp;Soudabeh Shemehsavar ,&nbsp;David J. Henry ,&nbsp;Richard J. Harper","doi":"10.1016/j.catena.2025.109218","DOIUrl":"10.1016/j.catena.2025.109218","url":null,"abstract":"<div><div>Soil water repellency (SWR) is a major agro-ecological soil management issue caused by hydrophobic organic compounds that hinder soil water absorption and affect soil function. Recent modelling studies indicate that climate change will increase the severity of SWR, compounding these effects. This study investigated the effects of climatic and soil factors on SWR in surface (0–10 cm) soils from 355 sites under uniform land-use across an area of 60,000 km² in south-western Australia, a region with a Mediterranean climate. There were marked gradients in temperature (mean minimum temperature (Meanmin, 7.7–12.2 °C), mean maximum temperature (Meanmax, 19.0–22.9 °C), rainfall (507–1443 mm/year) and pan evaporation (Evap, 1169–1772 mm/year) across the sites. SWR was measured in the laboratory on oven dried samples using the ethanol droplet test. Boosted regression tree analysis showed that 10 soil variables explained 78 % of the variance in SWR, with clay, silt and OC contents the main contributors. Incorporating the four climatic variables explained 84 % of the variance of SWR, with Meanmax the major contributing factor. Thus, while soil properties dominated the expression of SWR, climate had a secondary impact. Meanmax however, was inversely related to SWR, suggesting that rising temperatures due to climate change could result in a reduction in SWR. Furthermore, given the strong relationship between SWR and OC content, climate mitigation projects aimed at enhancing soil OC storage may inadvertently increase the expression and severity of SWR. Recognition of this should be included in soil carbon mitigation project protocols.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"258 ","pages":"Article 109218"},"PeriodicalIF":5.4,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230245","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":"Evaluation of the WEPS hydrology sub-model for surface soil water content under different tillage practices in the inland Pacific Northwest, USA","authors":"Huawei Pi ,&nbsp;David R. Huggins ,&nbsp;Larry.E. Wagner ,&nbsp;Fred. Fox ,&nbsp;Sisi Li ,&nbsp;Nicholas P. Webb","doi":"10.1016/j.catena.2025.109209","DOIUrl":"10.1016/j.catena.2025.109209","url":null,"abstract":"<div><div>Surface soil water content (SSWC) is an important factor affecting wind erosion and crop management decisions, especially in semi-arid and arid regions that are often characterized by low rainfall and thus encounter severe wind erosion and insufficient seed-zone water for planting. Land management practices (e.g. tillage) play an important function in soil hydro-physical properties by modifying soil structure and soil surface characteristics. However, predicting SSWC spatio-temporal variability, and effects on wind erosion, in response to different land management practices is challenging. One tool available to soil conservationists is the Wind Erosion Prediction System (WEPS), which incorporates predictions of SSWC into a process-based model to simulate field-scale wind erosion. In this study, we test the WEPS hydrology sub-model, as typically applied by soil conservationists, to simulate the SSWC of agricultural land with disk, minimum tillage, and no-tillage treatments for winter wheat–summer fallow rotation at 12 sites from 2004 to 2019 in the inland Pacific Northwest (iPNW), USA. Despite widespread application of WEPS for conservation planning, little is known about the effectiveness of the WEPS hydrological sub-model when applied to contrasting tillage systems. The performance of the model differed among each tillage treatment. We found reasonable agreement between simulated SSWC and experimental measurements in the upper 10 cm across all periods as indicated by high value for the index of agreement (d = 0.7) for no-tillage. However, the model overestimated SSWC for disk and no-tillage across various layers in the upper 30 cm. The overestimation was due to the model improperly simulating some higher SSWC (&gt;0.2 m³ m⁻³) values for both tillage treatments. The WEPS also overestimated SSWC for the minimum tillage treatment with d = 0.67. As SSWC suppresses wind erosion by increasing cohesion between soil grains, overestimating SSWC is likely to lead to underprediction of wind erosion risk by WEPS for the studied tillage systems. Care should, therefore, be taken by practitioners when using WEPS to assess potential wind erosion risks and benefits of tillage treatments in the iPNW. Our results contribute to the ongoing development of a serviceable tool for soil and water conservation planning in the iPNW.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"258 ","pages":"Article 109209"},"PeriodicalIF":5.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230246","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":"Historical and future dynamics of soil organic carbon and driving mechanisms in mountainous soils of China","authors":"Lei Zhang ,&nbsp;Tongtong Xu ,&nbsp;Yue Bai ,&nbsp;Martin Wiesmeier ,&nbsp;Huiwen Li ,&nbsp;Yue Huang ,&nbsp;Yu Liu ,&nbsp;Beilong Xie ,&nbsp;Mingrui Song ,&nbsp;Jiaru Wu ,&nbsp;Chen Liu","doi":"10.1016/j.catena.2025.109212","DOIUrl":"10.1016/j.catena.2025.109212","url":null,"abstract":"<div><div>Mountain ecosystems exhibit unique microclimate conditions and high plant diversity, resulting in heterogeneous patterns and dynamics of soil organic carbon (SOC). Climate change strongly impacts the spatial and temporal dynamics of SOC, yet long-term spatiotemporal variations of SOC stocks in mountainous soils and their responses to climate change are not well understood. In this study, we employed machine learning to comprehensively investigate the spatiotemporal distribution patterns of SOC and their drivers in the Qinling Mountains from 2006 to 2022, and further projected future SOC trajectories under different climate scenarios. Results showed that the SOC pools within the top 20 cm were 1.20 Pg C. Forest ecosystems accounted for the largest proportion (74 %), followed by cropland (18 %), grassland (7 %), and shrub ecosystems (1 %). Overall, SOC in the Qinling Mountains significantly increased from 2006 to 2022. Nevertheless, the SOC in forest ecosystems of high-altitude regions exhibited a declining trend, suggesting that SOC in high-altitude forests is more sensitive to climate change and more likely to be lost. A structural equation model revealed that climate drivers (mean annual temperature and aridity index) negatively affected SOC through both direct and indirect pathways, which indicates the risk of soil carbon losses in mountains due to warming and drought. In contrast, gross primary productivity positively impacted SOC, underscoring the decisive role of plant carbon inputs in SOC accumulation in mountain ecosystems. Comparatively, soil characteristics and topographical features had little effect on SOC. Our projections further indicated an increase in SOC under the low-emission scenario (SSP1-1.9), while SOC would decrease under medium (SSP2-4.5) and high-emission (SSP5-8.5) scenarios. This study suggests that future global warming will lead to the loss of SOC in mountainous soils. Therefore, ecosystem protection, particularly for high-altitude forests, could effectively maintain SOC sequestration capacity and mitigate the negative impacts of climate change.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"258 ","pages":"Article 109212"},"PeriodicalIF":5.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230247","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":"Recent advances in regenerative sustainable agricultural strategies for managing soil carbon and mitigating climate change consequences","authors":"Abhay Kumar,&nbsp;Gabriele Antoniella,&nbsp;Emanuele Blasi,&nbsp;Tommaso Chiti","doi":"10.1016/j.catena.2025.109208","DOIUrl":"10.1016/j.catena.2025.109208","url":null,"abstract":"<div><div>Conventional agricultural practices, like extensive tillage, monoculture farming, and excess synthetic chemical fertilizer application, originally increased productivity but frequently degraded the environment, particularly soil ecosystems. Soil is the primary repository of terrestrial carbon (C), with soil organic C (SOC) levels reflecting the balance between C inputs and losses. Deteriorating soil health alters the SOC budget, affecting soil fertility, depleting nutrients, and increasing erosion susceptibility. Alterations in the SOC budget adversely impact C cycle dynamics, influencing greenhouse gas (GHG) emissions like carbon dioxide and nitrous oxide and leading to climate variability. However, the consolidated information discussing regenerative sustainable management practices for arable land, increasing SOC and soil C-stock, and reducing GHG emissions is limited. Thus, this review synthesizes the latest research on regenerative management strategies, offering a comprehensive analysis and critical discussion of their effects on SOC content and turnover in agricultural systems across various environments. Regenerative strategies, which prioritize biological and ecological balance, include a variety of measures, including conservation agriculture, crop rotation, cover-cropping, organic management, biochar, and agroforestry. These measures encourage soil C sequestration, improve biogeochemical<!--> <!-->cycling, and strengthen resistance to environmental fluctuations. Overall, this study methodologically demonstrates how sustainable soil management can improve SOC pool and C-sequestration. It is based on a comprehensive review of 283 studies that included both short- and long-term field trials. Additionally, it outlines the benefits, challenges, and economic prospects associated with these strategies, emphasizing the significance of improving SOC management to promote soil sustainability and mitigate climate change consequences.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"258 ","pages":"Article 109208"},"PeriodicalIF":5.4,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144213485","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 morpho-ecological state of palsa mires in sub-arctic Fennoscandia: insights from high-resolution spatial modelling","authors":"Oona Leppiniemi ,&nbsp;Olli Karjalainen ,&nbsp;Juha Aalto ,&nbsp;Eevi Yletyinen ,&nbsp;Miska Luoto ,&nbsp;Jan Hjort","doi":"10.1016/j.catena.2025.109203","DOIUrl":"10.1016/j.catena.2025.109203","url":null,"abstract":"<div><div>Palsas are unique permafrost landforms that contribute to periglacial bio- and geodiversity and store significant amounts of organic carbon. However, these landforms are highly sensitive to climate change and are degrading rapidly across the Northern Hemisphere. This study assesses the morpho-ecological state of all remaining palsa mires in Finnish Lapland under different climatic and topographical conditions, providing valuable insights into their future persistence. Using spatial multivariate modelling and high-resolution (10 m) geospatial data, we predicted the probability of a good morpho-ecological state of palsa mires. The predictions were evaluated against landform observations derived from historical orthoimagery. Our results show that 53 % of Finnish palsa mires have a low probability (&lt;0.25) of being in a good state, while only 28 % have a high probability (&gt;0.75). Plateau-shaped palsas were predicted to be in a better morpho-ecological state than smaller, dome-shaped palsas. Historical orthoimagery from the Paistunturi Wilderness Area<span><span>¹</span></span> indicates a significant reduction in palsa area (−76 %) since the 1960s, and our model suggests a more moderate decline (−63 %) across Finnish Lapland. The results demonstrate a significant reduction in palsa areas over the past 50 years, emphasizing the critical influence of winter temperatures and precipitation on these changes. The research highlights the need for further monitoring of palsa degradation to better understand the impacts of climate change on periglacial landscapes and systems.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"257 ","pages":"Article 109203"},"PeriodicalIF":5.4,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205235","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":"‘Dancing’ load casts and pseudonodules as characteristic features of glaciolacustrine kames","authors":"Małgorzata Pisarska-Jamroży ,&nbsp;Barbara Woronko ,&nbsp;Albertas Bitinas ,&nbsp;Szymon Belzyt ,&nbsp;Łukasz Bujak ,&nbsp;Danguolė Karmazienė","doi":"10.1016/j.catena.2025.109205","DOIUrl":"10.1016/j.catena.2025.109205","url":null,"abstract":"<div><div>Kames (ice-walled lake plains) are common forms in glacigenic landscapes, widely recognised as indicators of areal deglaciation. In northeastern Poland and southern Lithuania, fine-grained kames are characterised by similar morphology and sedimentological features. This study examines three of these, which characterise a particular style of deformation. The kames are characterized by a distinctive sediment grain size, comprising an admixture of clay, a full range of silt fractions, and fine-grained sand. Based on this granulometric composition, all of the studied kames are classified as glaciolacustrine (glaciolimnic, limnoglacial), subsequently infilled by meltwaters. A characteristic feature of all the kame sediments is the presence of extraordinarily rich soft-sediment deformation structures (SSDS), such as load casts, pseudonodules, flame structures, clastic dykes, dish structures, and fragments of broken-up set of laminae which occur in very thick layers. The largest load casts and pseudonodules, with diameter reaching up to 0.7–2 m, can enclose two, three, or even four generations of smaller load casts and pseudonodules. This complexity results from multiple stages of kame sediment deformation processes, influenced by a large volume of water present during sedimentation and deformation, as well as by variations in sediment density and the melting of ice walls surrounding the glacial lake. The specific water regime played an essential role in SSDS formation. Sedimentation must have occurred before the melting of the depressions’ ice walls, within which the kame sediments were accumulated.</div><div>We suggest that the large size and variable reorientation of the load casts and pseudonodules (described as ‘dancing’) are significant criteria for classifying kames as glaciolacustrine, deposited between blocks of dead ice under fully saturated conditions. We suggest currents of water, ice cracking along with the dumping of ice blocks and density gradients within the sediments, as the three main trigger mechanisms responsible for the deformation processes.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"257 ","pages":"Article 109205"},"PeriodicalIF":5.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204910","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":"Historical soil erosion events in border polje revealed by geochemical fingerprint analysis of soil profiles","authors":"Chunlai Zhang ,&nbsp;Zhongcheng Jiang ,&nbsp;Chaosheng Zhang ,&nbsp;Zhihua Chen ,&nbsp;Ping’an Sun ,&nbsp;Tongbin Zhu","doi":"10.1016/j.catena.2025.109202","DOIUrl":"10.1016/j.catena.2025.109202","url":null,"abstract":"<div><div>Understanding soil erosion history in ecologically fragile karst regions is essential for sustainable land management. The potential use of border polje (BP) soil profiles as reliable records of erosion and deposition remains uncertain. This study investigated the geochemical characteristics of soil profiles developed on limestone and siltstone on both sides of the BP, using geochemical fingerprints to quantify BP soil source proportions and erosion changes. Key findings include (1) the karst and non-karst soil profiles on opposite slopes of BP exhibit distinct geochemical signatures, enabling effective tracing sediment sources. (2) Discriminant analysis and conservative tests effectively distinguished contributions from karst and non-karst slopes, with model goodness-of-fit exceeding 90 % in the BP profiles. (3) Non-karst soils dominate BP soils (&gt;78 % on average), while karst soils contribute significantly to deep layers near karst hills (∼50 %), decreasing to &lt; 10 % in the surface layer. (4) Notable changes in karst and non-karst soil contributions at 1.0–1.4 m depths in the BP soil profile, coupled with the presence of charcoal, suggest shifts in sediment dynamics, highlighting the BP’s sensitivity to erosional environmental changes. These findings validate the feasibility of using BP soil profiles as records of historical erosion, with geochemical fingerprints capturing shifts in sediment contributions from karst and non-karst hills. This study highlights the potential of BP soil profiles as archives of environmental changes, providing a novel framework for reconstructing historical erosion dynamics in karst regions.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"257 ","pages":"Article 109202"},"PeriodicalIF":5.4,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189959","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":"Evolution of fire activity in arid Central Asia since ∼12.9 ka: Transitioning from natural to anthropogenic forces","authors":"Wensheng Zhang ,&nbsp;Guoqiang Ding ,&nbsp;Yong Zhang ,&nbsp;Yuecong Li ,&nbsp;Bing Li ,&nbsp;Chao Lu ,&nbsp;Bo Tan ,&nbsp;Aijun Sun ,&nbsp;Yang Fu ,&nbsp;Chengbang An","doi":"10.1016/j.catena.2025.109213","DOIUrl":"10.1016/j.catena.2025.109213","url":null,"abstract":"<div><div>Fire activity plays a crucial role in carbon emissions and climate change worldwide. Investigating the long-term history and driving mechanisms of fire activity can provide a scientific foundation for future fire management policies. Fragile ecosystems in arid Central Asia (ACA) are significantly affected by fire activity, and more regional fires are occurring against the backdrop of global warming. However, owing to the absence of long-term sedimentary records, knowledge of fire activity history and potential driving factors in ACA remains limited. Therefore, in this study, we analyze loess-paleosol sediments from the central Tianshan Mountains, using black carbon (BC) and charcoal influx indicators to investigate the evolution of fire activity since ∼12.9 ka (1 ka = 1000 cal yr BP). Furthermore, by integrating data on climate, vegetation, and human activities, we explore the interactions between fire activity, climate, vegetation, and human activities. The results indicate that since ∼12.9 ka, the influxes of BC and charcoal have steadily increased, reflecting a corresponding rise in fire activity in the study area, which peaked after ∼1 ka. Between ∼12.9 and 1 ka, fire activity was primarily driven by biomass (fuel) availability, which was influenced by westerly strength (precipitation/humidity). As precipitation and humidity increased, the contraction of desert vegetation communities and the significant expansion of steppe vegetation communities promoted the accumulation of biomass (fuel), ultimately leading to increased fire activity. Additionally, temperature has also played a significant role in the occurrence of fire activity. However, since ∼1 ka, with the substantial increase in anthropogenic pollen, regional population, and agricultural and pastoral activities, fire activity has become decoupled from its relationship with biomass (fuel) controlled by precipitation/humidity. Human activities may have become the dominant driver of fire activity.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"257 ","pages":"Article 109213"},"PeriodicalIF":5.4,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205234","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}