Catena最新文献

{"title":"Predictive modeling of river blockage severity from debris flows: Integrating statistical and machine learning approaches with insights from Sichuan Province, China","authors":"Wei Zhou,&nbsp;Yaping Zhou,&nbsp;Renwen Liu,&nbsp;Huaqiang Yin,&nbsp;Haowen Nie","doi":"10.1016/j.catena.2024.108576","DOIUrl":"10.1016/j.catena.2024.108576","url":null,"abstract":"<div><div>River blockages caused by debris flows pose serious threats to the environment and infrastructure. This study introduces the river blockage index (<em>RBI</em>) as a key measure of river blockage severity. We collected data from 60 debris flow events to build a comprehensive dataset. To enhance model robustness and accuracy, we optimized variable selection using multicollinearity analysis and the Akaike information criterion (<em>AIC</em>). Four statistical models were developed, including multiple linear, logarithmic, power, and exponential regressions. We also constructed models based on machine learning algorithms, including random forests and gradient boosting decision trees, and tested them using 5-fold cross-validation. After confirming that the training dataset met linear statistical assumptions, we built robust regression models. We tested the significance of the regression equations and coefficients using <em>F</em>-tests and <em>t</em>-tests. Hyperparameters of the machine learning algorithms were optimized through Bayesian methods. Model performance was evaluated using metrics such as <em>R</em>², adjusted <em>R</em>², mean absolute error (<em>MAE</em>), mean relative error (<em>MRE</em>), and root mean square error (<em>RMSE</em>). Results show that the most important factors influencing <em>RBI</em> are catchment area (<em>A</em>) and the discharge ratio between the debris flow and the main river (<em>Q</em>). Among the statistical models, the logarithmic and power models performed best due to their simplicity and efficiency. The random forest model demonstrated the highest predictive accuracy and stability overall. By combining statistical methods with machine learning, we improved prediction accuracy and provided practical guidance for disaster prevention strategies. This approach overcomes the limitations of numerical simulations and experimental studies, offering a more flexible and efficient method for <em>RBI</em> prediction. Future work will extend these findings to other geological settings to further enhance model adaptability and performance.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108576"},"PeriodicalIF":5.4,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757087","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 and application of a multi-scale numerical model for determining subsurface drainage system design criteria in arid agriculture areas","authors":"Xudong Han,&nbsp;Yingzhi Qian,&nbsp;Wei Yang,&nbsp;Yan Zhu,&nbsp;Jiesheng Huang,&nbsp;Yulan Lu","doi":"10.1016/j.catena.2024.108568","DOIUrl":"10.1016/j.catena.2024.108568","url":null,"abstract":"<div><div>Subsurface drainage is an effective measure for mitigating soil salinization, while few studies investigated the subsurface drainage design criteria in regional scale and its determining method and influencing factors. In this study, a multi-scale numerical model was established using SDR, MODFLOW-LGR and MT3DMS to simulate the regional groundwater and subsurface drainage. After the model was calibrated and validated by real-world data, a total of 1288 scenarios were simulated to evaluate the effect of subsurface drainage simulation method, grid size and study the influence of irrigation quantity, initial groundwater table depth (GWD_ini) and soil texture on subsurface drainage design criteria. The results show that utilizing the DRN package to simulate subsurface drainage led to substantial errors, with relative root mean square errors exceeding 120 %. The subsurface drainage amount simulated by SDR generally decreased with increasing grid size, because the groundwater level at the midway is averaged by a larger adjacent region. To balance simulation efficiency and accuracy, a 1 m grid size is appropriate for the SDR package in subsurface drainage simulation, with relative errors smaller than 4.8 %. The design criteria depends on the hydraulic conductivity of the first layer aquifer (<em>K_a</em>), followed by irrigation quantities during the winter irrigation (IWP), GWD_ini and irrigation quantities during the growth period (IGP). On average, for every 10 % reduction in IWP and IGP (i.e., 64 and 30.2 mm), the minimum pipe depth (MPD) increases by approximately 0.08 m and 0.03 m, respectively. For every 1 m reduction in GWD_ini, the MPD increases by approximately 0.13 m. When <em>K_a</em> is less than 0.5 m/d, there is a significant increase in MPD due to the decrease in <em>K_a</em>, especially at larger pipe spacing. This study provides references for accurate predictions of regional groundwater and salt dynamics, subsurface drainage and the determination of subsurface drainage design criteria.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108568"},"PeriodicalIF":5.4,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757088","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":"Assembly processes and networks of soil microbial communities along karst forest succession","authors":"Wanxia Peng ,&nbsp;Min Song ,&nbsp;Hu Du ,&nbsp;Shanghua Jiang ,&nbsp;Fuping Zeng ,&nbsp;Huijun Chen ,&nbsp;Tongqing Song","doi":"10.1016/j.catena.2024.108574","DOIUrl":"10.1016/j.catena.2024.108574","url":null,"abstract":"<div><div>Understanding the assembly processes of soil microbial communities as secondary succession proceeds offers a critical insight into ecosystem recovery after disturbance. However, a comprehensive understanding of which ecological processes govern the assembly remains elusive. In this study, soil samples were sampled across four seasons (i.e., spring, summer, autumn, and winter) from various forest succession including shrubland, secondary forest, and primary forest, within a karst region in southwestern of China. The assembly of microbial communities was analyzed using the method of the null model, coupled with measurements of environmental variability. The results demonstrate that soil bacterial assembly is primarily dominated by the deterministic processes with their relative influence increases as karst forest proceeds; while soil fungal assembly is dominated by the stochastic processes, and the relative significance of stochasticity peaks in the secondary forest. Moreover, both soil bacterial and fungal communities’ co-occurrence networks intensifies as forest succession. The shift in the balance between deterministic and stochastic across successional stages is predicted by factors such as plant DBH and soil nutrient availability. Specially, soil nitrate nitrogen (NO₃^–-N), along with plant diameter at breast height (DBH), available potassium (AK), available phosphorus (AP), and total phosphorus (TP), emerged as crucial determinants of soil microbial assembly as karst forest succeeds. Overall, our study provides the evidence that the bacterial and fungal communities’ assembly vary within and across forest succession, and highlights the importance of plant properties and soil micro-environment for these community assembly in karst soil.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108574"},"PeriodicalIF":5.4,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756873","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":"Neolithic formation of chernozem in south-eastern Germany?","authors":"Anna S. Holmer ,&nbsp;Ildikó Bősze ,&nbsp;Günther Moosbauer ,&nbsp;Susanne Lindauer ,&nbsp;Jörg Völkel","doi":"10.1016/j.catena.2024.108543","DOIUrl":"10.1016/j.catena.2024.108543","url":null,"abstract":"<div><div>The polygenetic development and age of black soils and Chernozems in Central Europe are widely discussed. The development and age of these soils in Germany is still not fully understood. While a significant share of Chernozems in Central Germany is assumed to have formed naturally during the early Holocene, such a natural formation can be excluded for all of southern Germany for paleoclimatic and –vegetative reasons. Therefore, soils with chernic horizons of natural origin are not to be expected south of the central German uplands. Active soil alteration by the human population in the Neolithic has also been observed to lead to Chernozem-like soils in other regions of Germany, like Lower Saxony and North Rhine-Westphalia. The unexpected black horizon investigated in this study is located close to Straubing in Bavaria, southeast Germany. The prevailing natural soil type in the area is a calcic Luvisol on loess substrate. The black horizon is located in close proximity to a neolithic settlement and its graveyard. We hypothesise that the inhabitants of the nearby neolithic settlement used the area with the black horizon as an agricultural field and were managing it actively. The core area with the most pronounced black horizon is rectangular and comprises within the excavation a surface of ca. 0.83 ha. Several decimetres of Holocene colluvium buried the black horizon in the Late Bronze Age and subsequent periods (OSL and ¹⁴C-Dating). Dating results from the black horizon prove human impact on the soil starting in the Linearbandkeramik (LBK) period (<em>cal BC 5,209–4,911</em>, ¹⁴C-Dating). NMR- and FTIR-DRIFT-analysis show high contents of pyrogenic carbon in the black horizon, which is responsible for its dark colour, even though the mean share of carbon is not higher than 0.50 ± 0.03 % (mean ± se). These results match those of recent literature and, therefore, indicate that neolithic farmers also applied their targeted soil amendment practices in southern Germany. This follows archaeological findings on the colonization of the area by the neolithic settlers: Primordially coming from the Fertile Crescent (northern Middle East), they followed the Danube through the Pannonian Region and brought their agronomic knowledge from the prior settlement area, where their active soil management is archaeologically proven.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108543"},"PeriodicalIF":5.4,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756958","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":"Spatial distribution pattern of soil organic matter in the wind erosion region of northeastern China based on the cokriging method","authors":"Xintong Wu ,&nbsp;Ning Jiang ,&nbsp;Anqi Li ,&nbsp;Yang Yang ,&nbsp;Hong Cheng","doi":"10.1016/j.catena.2024.108575","DOIUrl":"10.1016/j.catena.2024.108575","url":null,"abstract":"<div><div>Soil wind erosion triggers complex particle migration from the source to downwind regions. During this process, soil organic matter (SOM), primarily adsorbed onto particle surfaces, exhibits distinct spatial differentiation across affected areas. Knowledge about the spatial distribution of SOM and its impact factors in wind erosion regions is essential for a deep understanding of global carbon cycling. In the wind erosion region of northeastern China, a crucial base for livestock and commercial grain production, profound changes in land quality driven by climate change and human activities have intricately altered SOM spatial patterns. However, detailed studies on the spatial variability of surface SOM in this region remain scarce. A total of 374 surface soil samples from this region were analyzed for SOM and soil pH. Combined with spatial data sets including particle-size distribution, soil moisture (SM), air temperature (T), and the normalized difference vegetation index (NDVI), the regional spatial distribution patterns of SOM were revealed and mapped using the ordinary kriging (OK) and cokriging (CK) approaches. The results indicated strong variations of SOM in space, with corresponding coefficients of variation exceeding 35 % across the entire region and each land use. According to the semivariogram analysis, SOM demonstrates moderate spatial dependency in the study region, exhibiting spatially positive correlations with clay content (CLAY), SM, and NDVI, and negative correlations with pH, soil sand content (SAND), and T. Among the various impact factors, incorporating SAND as an auxiliary variable in CK interpolation achieved the greatest improvement in the accuracy of SOM spatial distribution simulation compared to the OK model, increasing the explained variance from 35 % to 75 %. This simulation showed a general downward trend of SOM from the northeast to the southwest of the study region, with 65.24 % of the area displaying SOM ranging from 10-30 g·kg⁻¹. The values of SOM greater than 30 g·kg⁻¹, comprising 19.43 % of the total region, were primarily located in the humid and semi-humid meadow steppes and forests. In contrast, areas with SOM below 10 g·kg⁻¹ accounted for only 15.33 %, mainly situated in the arid desert steppe and the Horqin sandy lands. These findings provide a scientific basis for understanding regional SOM loss and developing efficient measures for sand prevention and control.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108575"},"PeriodicalIF":5.4,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756875","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":"Detection of tree destruction induced by heavy rainfall in the afforested loess catchment of China","authors":"Mingkui Hao ,&nbsp;Zhao Jin ,&nbsp;Pengfei Li ,&nbsp;Yi Song ,&nbsp;Guofan Cao","doi":"10.1016/j.catena.2024.108573","DOIUrl":"10.1016/j.catena.2024.108573","url":null,"abstract":"<div><div>Rainstorm events are becoming increasingly frequent due to the impacts of global warming, which results in widespread erosion disasters and related tree destruction. However, previous corresponding studies of forest damage have focused on typhoons or wildfires, ignoring the increasing risk of rainstorm erosion-induced tree destruction. It is unclear what scale of tree destruction can be caused by heavy rainfall. In this study, we used a tree segmentation method based on airborne light detection and ranging (LiDAR) technology to accurately quantify the tree destruction during heavy rainfall in a representative afforested catchment on the Chinese Loess Plateau. Additionally, topographic changes were calculated using pre- and post-heavy rainfall LiDAR datasets, and tree destruction was assessed by combining terrain information and tree structural parameters. The results showed that 3253 trees in the catchment (0.9 km²) were destroyed due to rainstorm erosion, among which 2845 trees were located on gully slope landform, accounting for 87.4 % of all destroyed trees. Tree destruction on steep gully slope (slope: 45.5°-50.5°) was mainly induced by rainstorm erosion, while that on both sides of the gully bed (altitude: 1137 m-1147 m) was mainly induced by sediment deposition. In the catchment, the deposition area that resulted in tree destruction (21265 m²) was greater than the erosion area (20020 m²). However, the damage caused by erosion was more destructive than that caused by deposition. There was a significant linear relationship between tree structural parameters and terrain in the forestland catchment. Our study provides a reference methodology for studies of forest damage due to extreme weather events worldwide, and has significant implications for ecosystem management and reforestation in the context of global change.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108573"},"PeriodicalIF":5.4,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756874","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":"Litter removal effectively alleviates the nitrogen limitation in grazing exclusion alpine meadows","authors":"Jiangqin Song ,&nbsp;Yali Yin ,&nbsp;Wen Zhao ,&nbsp;Qiqi Sui ,&nbsp;Jiuyan Huo ,&nbsp;Wenxian Zheng ,&nbsp;Shixiong Li","doi":"10.1016/j.catena.2024.108561","DOIUrl":"10.1016/j.catena.2024.108561","url":null,"abstract":"<div><div>Litter accumulation in the alpine meadows after long-term grazing exclusion hinders the restoration efforts of degraded or mismanaged grassland ecosystems. Little is still known about how removing the litter affects the soil’s nutrient cycling and microbial metabolism. Here, we sampled soils in alpine meadows after four years grazing exclusion along a mass gradient of litter removal (MGLR) and a time gradient of litter removal (TGLR) in the northeastern region of the Qinghai-Tibet Plateau, China. Five soil extracellular enzyme activity (EEA, including carbon-, nitrogen-, and phosphorus- acquiring enzymes), and soil environmental variables were measured, and microbial metabolic limitation was calculated using vector analysis. The results indicated that short interval TGLR had no significant effect on soil enzyme activity. Meanwhile, the MGLR increase eventually promoted the activity of the soil C-, N-, and P-acquiring enzymes, which was beneficial for nutrient cycling. Microbial C limitation displayed the maximum value (1.47) after 50% removal of the litter. Litter removal effectively relieved the pressure on N limitation. The study further provided evidence that the dissolved organic carbon-to-soil available nitrogen ratio (DOC:SAN) and the soil available nitrogen-to-soil available phosphorus ratio (SAN:SAP) were the main environmental factors influencing microbial C limitation and nutrient limitation, respectively. The microbial C (1.33–1.35) and N (34.00°­34.09°) limitation were relatively low when the MGLR was 70%-90%, which was conducive to the element balance and efficient utilization of soil nutrient resources. Altogether, these findings indicated that litter removal had a significant impact on enhancing the activity of EEA and alleviating nutrient limitation despite the other unknown drawbacks. Litter removal and increasing the number of nitrogen-fixing plants may be the effective methods at present to alleviate nitrogen limitation in alpine meadows.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108561"},"PeriodicalIF":5.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756871","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 complex interplay of flooding intensity and land use on soil microbial communities in riparian zones: Insights for ecological restoration","authors":"Kai Zhu ,&nbsp;Fei Ye ,&nbsp;Yu Mei ,&nbsp;Weitao Jia ,&nbsp;Xiai Zhu ,&nbsp;Shuzhen Li ,&nbsp;Shengjun Wu ,&nbsp;Songlin Zhang ,&nbsp;Ping Huang","doi":"10.1016/j.catena.2024.108549","DOIUrl":"10.1016/j.catena.2024.108549","url":null,"abstract":"<div><div>The impact of hydrological regimes and land use on soil microorganisms in riparian zones has been well-documented, but their combined effects on the composition and assembly mechanisms of these communities remain unclear. To address this knowledge gap, we conducted a study examining the fungal and bacterial communities in three land use types—artificial mixed forests, natural grasslands, and cornfields—within riparian zones of the China’s Three Gorges Reservoir. We also considered how these communities responded to different flooding intensity gradients. Our results show that natural grasslands fostered increased diversity and network complexity of soil microorganisms with stronger flooding at middle and lower elevations. In contrast, artificial mixed forests enhanced microbial diversity and complexity at higher elevations with lower flooding intensity. Notably, land use had a greater influence on shaping soil microbial community structure, while flooding intensity had a greater impact on assembly processes. Dam-triggered flooding led to a convergence of bacterial community assembly processes across land use types, with deterministic processes playing a dominant role. However, this flooding also magnified the influence of stochastic processes on the structure of soil fungal communities. The assembly processes of these communities were primarily influenced by soil pH, SOC, and TK. These findings underscore the importance of developing vegetation restoration strategies based on riparian zone elevations to maintain soil microbial diversity and stability. This approach offers valuable guidance for ecological restoration efforts in similar regions.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108549"},"PeriodicalIF":5.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756872","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":"Pedogenic evidence sheds light on the post-Roman pedo-sedimentological and human history of Tarsus, the Roman capital of CE 60, Cilicia, Mersin, Türkiye","authors":"Selim Kapur ,&nbsp;Erhan Akça ,&nbsp;Selahattin Kadir ,&nbsp;Franco Previtali ,&nbsp;Zeki Billor ,&nbsp;Claudio Zucca ,&nbsp;Enrico Casati ,&nbsp;Muhsin Eren ,&nbsp;Alptekin Karagöz ,&nbsp;Atike Nazik ,&nbsp;Suha Berberoğlu ,&nbsp;İrfan Özberk ,&nbsp;Zehra Yeğingil ,&nbsp;Osman Polat ,&nbsp;Salvatore Madrau ,&nbsp;Levent Zoroğlu ,&nbsp;Cenk Dönmez ,&nbsp;Ahmet Çilek","doi":"10.1016/j.catena.2024.108544","DOIUrl":"10.1016/j.catena.2024.108544","url":null,"abstract":"<div><div>The ancient city of Tarsus is underlying a sediment of 400 cm where the contemporary Tarsus grew. The diffusely stratified layers of the deposited sediment from the Kydnos (Tarsus) river overlying the Roman Road excavation site located in the heart of the modern city. The sediment is laden with technogenic materials. The profile of the stratigraphic layers represents a Pedocomplex (PDC) and its horizons are the Pedomembers (PDMs). All the PDMs were described and sampled for physical, chemical, mineralogical, micromorphological, and thermoluminescense analyses seeking pedogenic evidences. The origin of PDC materials is a fluvial and/or lagoon environment (archaeologically predicted date, about 60 CE<strong>,</strong> and they are calcareous, high in available P and some are high in total phosphorus contents). They have been partially modified by human activity in a settlement area, thus bringing some historical evidence suggesting that the site was part of the growing city after its abandonment. Thin sections show a vigorous biological degradation of the organic residues in the PDMs along with occasional evidence of soil-forming processes. The preliminary conclusions were extracted from the results obtained through the newly formed hydroxyapatite (Hap) determined by micromorphology, therefore proposing the new suffix π for the WRB soil naming system. Primary, high temperature and clay minerals together with TL analyses of the layers, were conducted to reveal the provenance and weathering phases of the horizons. The seeds recovered from an inhabited layer helped to interpret the food and medicinal habits of the local society and the contemporary presence of the lagoon.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108544"},"PeriodicalIF":5.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757162","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":"Wetland CH4 and CO2 emissions show opposite temperature dependencies along global climate gradients","authors":"Baizhi Jiang ,&nbsp;Junqi Zhang ,&nbsp;Guiyao Zhou ,&nbsp;Yanghui He ,&nbsp;Zhenggang Du ,&nbsp;Ruiqiang Liu ,&nbsp;Jie Li ,&nbsp;Hua Chai ,&nbsp;Xuhui Zhou ,&nbsp;Hongyang Chen","doi":"10.1016/j.catena.2024.108557","DOIUrl":"10.1016/j.catena.2024.108557","url":null,"abstract":"<div><div>Methane (CH₄) and carbon dioxide (CO₂) are the two largest contributors to the anthropogenically-driven greenhouse effect, which are the dominant gaseous end-products of wetland C decomposition. However, given our limited understanding of the spatial heterogeneity of wetland CH₄ and CO₂ emissions, it is uncertain how future warming may impact the emissions of these dangerous emissions. Here, we show opposite temperature dependencies of CH₄ and CO₂ emissions along global climate gradients using data from 45 widely distributed wetlands in the FLUXNET-CH₄ database. Specifically, the temperature dependence of CH₄ emissions increased as mean annual temperature (MAT) rose, while the dependence of CO₂ emissions decreased, suggesting that in warmer areas, there is a greater risk for increased wetland CH₄ emissions accompanying lower CO₂ emissions in response to global warming. The ratio of wetland CH₄ to CO₂ emissions increased linearly with increasing temperature only when MAT and mean annual precipitation (MAP) are greater than 4.7 °C and 483 mm, respectively. This response indicates that, compared with those in cold and dry climates, wetland ecosystems in warmer and wetter climates are more prone to methanogenesis as temperatures rise. Our results suggest that neglecting spatial variation of temperature dependencies in models may underestimate wetland CH₄ and CO₂ emissions compared to the use of a static and consistent temperature dependence parameter when only considering temperature effects. These findings highlight the importance of incorporating climate-related variation in the temperature dependencies of CH₄ and CO₂ emissions into models to improve predictions of wetland C-climate change feedbacks in the Anthropocene.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"248 ","pages":"Article 108557"},"PeriodicalIF":5.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757163","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}