Global Change Biology最新文献

{"title":"Dominant Edaphic Controls on Particulate Organic Carbon in Global Soils","authors":"Ziyu Guo, Jianzhao Liu, Liyuan He, Jorge L. Mazza Rodrigues, Ning Chen, Yunjiang Zuo, Nannan Wang, Xinhao Zhu, Ying Sun, Lihua Zhang, Yanyu Song, Dengjun Zhang, Fenghui Yuan, Changchun Song, Xiaofeng Xu","doi":"10.1111/gcb.17619","DOIUrl":"https://doi.org/10.1111/gcb.17619","url":null,"abstract":"The current soil carbon paradigm puts particulate organic carbon (POC) as one of the major components of soil organic carbon worldwide, highlighting its pivotal role in carbon mitigation. In this study, we compiled a global dataset of 3418 data points of POC concentration in soils and applied empirical modeling and machine learning algorithms to investigate the spatial variation in POC concentration and its controls. The global POC concentration in topsoil (0–30 cm) is estimated as 3.02 g C/kg dry soil, exhibiting a declining trend from polar regions to the equator. Boreal forests contain the highest POC concentration, averaging at 4.58 g C/kg dry soil, whereas savannas exhibit the lowest at 1.41 g C/kg dry soil. We developed a global map of soil POC density in soil profiles of 0-30 cm and 0–100 cm with an empirical model. The global stock of POC is 158.15 Pg C for 0–30 cm and 222.75 Pg C for 0–100 cm soil profiles with a substantial spatial variation. Analysis with a machine learning algorithm concluded the predominate controls of edaphic factors (i.e., bulk density and soil C content) on POC concentration across biomes. However, the secondary controls vary among biomes, with solid climate controls in grassland, pasture, and shrubland, while strong vegetation controls in forests. The biome-level estimates and maps of POC density provide a benchmark for modeling C fractions in soils; the various controls on POC suggest incorporating biological and physiochemical mechanisms in soil C models to assess and forecast the soil POC dynamics in response to global change.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"38 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142804887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biogeography of a Global Plant Invader: From the Evolutionary History to Future Distributions","authors":"Lei Zhang, Isolde van Riemsdijk, Mu Liu, Zhiyong Liao, Armand Cavé-Radet, Jingwen Bi, Shengyu Wang, Yujie Zhao, Peipei Cao, Madalin Parepa, Oliver Bossdorf, Armel Salmon, Malika Aïnouche, Rui-Ting Ju, Jihua Wu, Christina L. Richards, Bo Li","doi":"10.1111/gcb.17622","DOIUrl":"https://doi.org/10.1111/gcb.17622","url":null,"abstract":"Biological invasions pose a global challenge, affecting ecosystems worldwide and human societies. Knowledge of the evolutionary history of invasive species is critical to understanding their current invasion success and projecting their future spread. However, to date, few studies have addressed the evolutionary history and potential future spread of invaders simultaneously. In this study, we explored both evolutionary history and spatiotemporal dynamic patterns of the distribution of <i>Reynoutria japonica</i>, known as one of the world's worst plant invaders. We analysed 265 <i>R. japonica</i> samples from its current geographical ranges across three continents, using seven chloroplast DNA (cpDNA) markers to establish the phylogenetic relationships among extant populations. We combined these with ecological niche modelling to infer historical and more recent migration patterns and predict potential future distribution changes under climate change. Our results indicate that climate fluctuations and sea level changes likely facilitated the expansion of <i>R. japonica</i> from southern Japan to continental East Asia in the Pliocene, followed by a contraction in East Asian populations. In the recent Holocene, human activities have then enabled a linage of this species to spread from Japan to Europe and North America, resulting in three major global clades. Future climate scenarios suggest a northward expansion of <i>R. japonica</i> in Europe and North America, but shrinking habitat in China. Our study, thus, demonstrates the complex influences of historical climate-driven migrations, human activities and future climate changes on the global distribution of an invasive species.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"2 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142797824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phosphorus Cycling as a Function of Soil Microbiome","authors":"Youzhi Feng, Ruirui Chen","doi":"10.1111/gcb.17611","DOIUrl":"https://doi.org/10.1111/gcb.17611","url":null,"abstract":"Phosphorus (P), especially its availability, plays a pivotal role in the productivity of terrestrial ecosystems. The recent article makes several key discoveries with substantial implications for understanding the global soil P cycling as a function of microbiome and ecological effects of human activities.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"2 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142797785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil Organic Carbon Increases With Decreasing Microbial Carbon Use Efficiency During Vegetation Restoration","authors":"Jingwei Shi, Lei Deng, Jianzhao Wu, Edith Bai, Ji Chen, Zhouping Shangguan, Yakov Kuzyakov","doi":"10.1111/gcb.17616","DOIUrl":"https://doi.org/10.1111/gcb.17616","url":null,"abstract":"Microbial carbon (C) use efficiency (CUE) describes the proportion of organic C used by microorganisms for anabolic processes, which increases with soil organic C (SOC) content on a global scale. However, it is unclear whether a similar relationship exists during natural vegetation restoration in terrestrial ecosystems. Here, we investigated the patterns of CUE along a 160-year vegetation restoration chronosequence (from farmland to climax forest) estimated by stoichiometric modeling; additionally, we examined the relationship between CUE and SOC content and combined these results with a meta-analysis. The combination indicated that vegetation restoration decreased CUE from 0.35 to 0.28. Surprisingly, SOC content increased with decreasing CUE during vegetation restoration because forest soils have low pH values and high microbial phosphorus limitations compared to early ecosystems, implying that climax forests may not sequester as much soil C as expected. The shift in soil pH was the most important predictor of CUE compared to climate, plant, and microbial factors. CUE changes were directly induced by soil pH and not by the pH-induced microbial community. Alkaline soil acidification tended to decrease CUE. This first large-scale estimate of the relationship between CUE and SOC during natural restoration highlights the need to strengthen C sink management in mature forests to sustain their C sequestration potential.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"19 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142797793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal Monitoring of Cropland Soil Organic Carbon Changes From Space","authors":"Tom Broeg, Axel Don, Martin Wiesmeier, Thomas Scholten, Stefan Erasmi","doi":"10.1111/gcb.17608","DOIUrl":"https://doi.org/10.1111/gcb.17608","url":null,"abstract":"Soil monitoring requires accurate and spatially explicit information on soil organic carbon (SOC) trends and changes over time. Spatiotemporal SOC models based on Earth Observation (EO) satellite data can support large-scale SOC monitoring but often lack sufficient temporal validation based on long-term soil data. In this study, we used repeated SOC samples from 1986 to 2022 and a time series of multispectral bare soil observations (Landsat and Sentinel-2) to model high-resolution cropland SOC trends for almost four decades. An in-depth validation of the temporal model uncertainty and accuracy of the derived SOC trends was conducted based on a network of 100 long-term monitoring sites that were continuously resampled every 5 years. While the general SOC prediction accuracy was high (<i>R</i>² = 0.61; RMSE = 5.6 g kg⁻¹), the direct validation of the derived SOC trends revealed a significantly greater uncertainty (<i>R</i>² = 0.16; <i>p</i> &lt; 0.0001), even though predicted and measured values showed similar distributions. Classifying the results into declining and increasing SOC trends, we found that 95% of all sites were either correctly identified or predicted as stable (<i>p</i> &lt; 0.001), highlighting the potential of our findings. Increased accuracies for SOC trends were found in soils with higher SOC contents (<i>R</i>² = 0.4) and sites with reduced tillage (<i>R</i>² = 0.26). Based on the signal-to-noise ratio and temporal model uncertainty, we were able to show that the necessary time frame to detect SOC trends strongly depends on the absolute SOC changes present in the soils. Our findings highlight the potential to generate significant cropland SOC trend maps based on EO data and underline the necessity for direct validation with repeated soil samples and long-term SOC measurements. This study marks an important step toward the usability and integration of EO-based SOC maps for large-scale soil carbon monitoring.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"18 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cumulative Heat Stress in Fluctuating Temperatures and Implications for the Distribution of Freshwater Fish","authors":"Enrico L. Rezende, Mauricio J. Carter","doi":"10.1111/gcb.17623","DOIUrl":"https://doi.org/10.1111/gcb.17623","url":null,"abstract":"Predicting how rising temperatures will impact different species and communities is imperative and increasingly urgent with ongoing global warming. Here, we describe how thermal–death time curves obtained in the laboratory can be combined with an envelope model to predict the mortality of freshwater fish under field conditions and their distribution limits. We analyze the heat tolerance and distribution of 22 fish species distributed across North America and demonstrate that high temperatures imposed a distribution boundary for 11 of them, employing a null model. Importantly, predicted thermal boundaries closely match the warmest suitable locality of the envelope model. Simulated warming suggests that the distribution of fish species with lower heat tolerances will be disproportionately affected by rising temperatures, and the rate of local extinctions will be higher across fish communities in warmer localities. Ultimately, our analyses illustrate how physiological information can be combined with distribution models to forecast how warming temperatures are expected to impact different species and ecological communities.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"92 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen Application Stimulates Methane Emissions","authors":"Kaikai Fang","doi":"10.1111/gcb.17621","DOIUrl":"https://doi.org/10.1111/gcb.17621","url":null,"abstract":"Nitrogen fertilizer plays a vital role in rice cultivation, yet its excessive application significantly intensifies methane emissions from rice paddies. Therefore, the urgent adoption of effective agronomic interventions is crucial to mitigate methane emissions resulting from nitrogen fertilizer application.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"20 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biogeography of Soil Phosphorus-Cycling Microbes in a Changing World","authors":"Haiyan Chu, Yuying Ma","doi":"10.1111/gcb.17617","DOIUrl":"https://doi.org/10.1111/gcb.17617","url":null,"abstract":"Soil microbes involved in phosphorus cycling facilitate the fixation and mineralization of phosphorus through various biological processes. The biogeography of soil phosphorus-cycling microbes is of great significance for a comprehensive understanding of their ecological roles and utilization of their functions. It is imperative to underscore the profound impact of human activities on soil phosphorus-cycling microbes, which will significantly contribute to refining soil management practices and fostering sustainable human interactions essential for safeguarding soil ecosystems in our ever-changing world.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"34 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preconditions for Including the Effects of Urease and Nitrification Inhibitors in Emission Inventories","authors":"Nicholas J. Hutchings, Søren O. Petersen, Karl G. Richards, Andreas S. Pacholski, Roland Fuß, Diego Abalos, Patrick J. Forrestal, David Pelster, Richard J. Eckard, Marta Alfaro, Kate E. Smith, Rachel Thorman, Klaus Butterbach-Bahl, Ngonidzashe Chirinda, Shabtai Bittman, Cecile A. M. de Klein, Bernard Hyde, Barbara Amon, Tony van der Weerden, Agustin del Prado, Dominika J. Krol","doi":"10.1111/gcb.17618","DOIUrl":"https://doi.org/10.1111/gcb.17618","url":null,"abstract":"Urease and nitrification inhibitors can reduce ammonia and greenhouse gas emissions from fertilizers and manure but their effectiveness depends on the conditions under which they are used. Consequently, it is essential for the credibility of emission reductions reported in regulatory emission inventories that their effectiveness is assessed under real-world conditions and not just in the laboratory. Here, we specify the criteria we consider necessary before the effects of inhibitors are included in regulatory emission inventories.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"19 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drivers and Annual Totals of Methane Emissions From Dutch Peatlands","authors":"Alexander J. V. Buzacott, Bart Kruijt, Laurent Bataille, Quint van Giersbergen, Tom S. Heuts, Christian Fritz, Reinder Nouta, Gilles Erkens, Jim Boonman, Merit van den Berg, Jacobus van Huissteden, Ype van der Velde","doi":"10.1111/gcb.17590","DOIUrl":"https://doi.org/10.1111/gcb.17590","url":null,"abstract":"Rewetting peatlands is required to limit carbon dioxide (CO₂) emissions, however, raising the groundwater level (GWL) will strongly increase the chance of methane (CH₄) emissions which has a higher radiative forcing than CO₂. Data sets of CH₄ from different rewetting strategies and natural systems are scarce, and quantification and an understanding of the main drivers of CH₄ emissions are needed to make effective peatland rewetting decisions. We present a large data set of CH₄ fluxes (FCH₄) measured across 16 sites with eddy covariance on Dutch peatlands. Sites were classified into six land uses, which also determined their vegetation and GWL range. We investigated the principal drivers of emissions and gapfilled the data using machine learning (ML) to derive annual totals. In addition, Shapley values were used to understand the importance of drivers to ML model predictions. The data showed the typical controls of FCH₄ where temperature and the GWL were the dominant factors, however, some relationships were dependent on land use and the vegetation present. There was a clear average increase in FCH₄ with increasing GWLs, with the highest emissions occurring at GWLs near the surface. Soil temperature was the single most important predictor for ML gapfilling but the Shapley values revealed the multi-driver dependency of FCH₄. Mean annual FCH₄ totals across all land uses ranged from 90 _± 11 to 632 _± 65 kg CH₄ ha⁻¹ year⁻¹ and were on average highest for semi-natural land uses, followed by paludiculture, lake, wet grassland and pasture with water infiltration system. The mean annual flux was strongly correlated with the mean annual GWL (<i>R</i>² = 0.80). The greenhouse gas balance of our sites still needs to be estimated to determine the net climate impact, however, our results indicate that considerable rates of CO₂ uptake and long-term storage are required to fully offset the emissions of CH₄ from land uses with high GWLs.","PeriodicalId":175,"journal":{"name":"Global Change Biology","volume":"226 1","pages":""},"PeriodicalIF":11.6,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142782543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}