Pub Date : 2024-12-19DOI: 10.1016/j.agrformet.2024.110369
Han Chen , Yizhao Wei , Jinhui Jeanne Huang
Urban net ecosystem productivity (NEPu) plays a pivotal role in enhancing urban ecological conditions and human comfort in living environments. However, the response mechanism of NEPu to urbanization remains unclear due to the challenge of accurately estimating NEPu. This study proposes a hybrid model architecture that combines Residual Networks and Carnegie–Ames–Stanford approach (CASA) model (ResNets-CASA) to estimate NEPu. The ResNets-CASA model is trained and verified at four urban eddy covariance (EC) sites in Tianjin and Shenzhen, China. The model shows an average root-mean-square-error (RMSE) of 1.09 gC/m2/day and a coefficient of determination (R2) of 0.83 for daily NEPu simulation across the four EC sites. The trained ResNets-CASA model at the site scale is further employed for regional-scale NEPu mapping and the generation of long-term historical NEPu datasets (1986–2022) for the two cities. The long-term trend analysis indicates that the NEPu of the two cities shows a significant downward trend over the past 37 years, with an average decline rate of 2.1 gC/m2/year across the two cities. The main cause for the decline trend of NEPu is the changed urban landscape pattern, including: 1) a decrease in urban vegetation coverage resulting from urbanization; 2) shifts in the composition of urban vegetation species due to the substitution of natural woodland and cultivated land with urban landscape grassland. These results emphasize the dominant role of changes in urban landscape patterns, rather than urban microclimate, in the long-term decline of NEPu trends.
{"title":"Urbanization diminishes net ecosystem productivity by changing the landscape pattern","authors":"Han Chen , Yizhao Wei , Jinhui Jeanne Huang","doi":"10.1016/j.agrformet.2024.110369","DOIUrl":"10.1016/j.agrformet.2024.110369","url":null,"abstract":"<div><div>Urban net ecosystem productivity (NEP<sub>u</sub>) plays a pivotal role in enhancing urban ecological conditions and human comfort in living environments. However, the response mechanism of NEP<sub>u</sub> to urbanization remains unclear due to the challenge of accurately estimating NEP<sub>u</sub>. This study proposes a hybrid model architecture that combines Residual Networks and Carnegie–Ames–Stanford approach (CASA) model (ResNets-CASA) to estimate NEP<sub>u</sub>. The ResNets-CASA model is trained and verified at four urban eddy covariance (EC) sites in Tianjin and Shenzhen, China. The model shows an average root-mean-square-error (RMSE) of 1.09 gC/m<sup>2</sup>/day and a coefficient of determination (R<sup>2</sup>) of 0.83 for daily NEP<sub>u</sub> simulation across the four EC sites. The trained ResNets-CASA model at the site scale is further employed for regional-scale NEP<sub>u</sub> mapping and the generation of long-term historical NEP<sub>u</sub> datasets (1986–2022) for the two cities. The long-term trend analysis indicates that the NEP<sub>u</sub> of the two cities shows a significant downward trend over the past 37 years, with an average decline rate of 2.1 gC/m<sup>2</sup>/year across the two cities. The main cause for the decline trend of NEP<sub>u</sub> is the changed urban landscape pattern, including: 1) a decrease in urban vegetation coverage resulting from urbanization; 2) shifts in the composition of urban vegetation species due to the substitution of natural woodland and cultivated land with urban landscape grassland. These results emphasize the dominant role of changes in urban landscape patterns, rather than urban microclimate, in the long-term decline of NEP<sub>u</sub> trends.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110369"},"PeriodicalIF":5.6,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142849081","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}
Pub Date : 2024-12-18DOI: 10.1016/j.agrformet.2024.110355
Nela Altmanová , Pavel Fibich , Jiří Doležal , Václav Bažant , Tomáš Černý , Julieta G. Arco Molina , Tsutomu Enoki , Toshihiko Hara , Kazuhiko Hoshizaki , Hideyuki Ida , Pavel Janda , Akira Kagawa , Martin Kopecký , Kirill A. Korznikov , Pavel V. Krestov , Yasuhiro Kubota , Vojtěch Lanta , Martin Macek , Marek Mejstřík , Masahiro Nakamura , Jan Altman
Ongoing climate change is having profound impacts on the growth and distribution of trees worldwide. However, there remain substantial gaps in our understanding of how environmental factors influence tree-growth responses to climate at larger scales, which is critical for identifying regions susceptible to the impacts of climate change. In this study, we aimed to reveal the main environmental factors that determine the spatial heterogeneity of tree-growth sensitivity to temperature, precipitation, and drought across temperate forests in Northeast Asia (30–45° N, 124–146° E). Utilising an extensive tree-ring network of 101 chronologies of 22 tree species, across 79 sites, we found that local climate, and especially climate water deficit, plays a dominant role in shaping the spatial heterogeneity of tree-growth sensitivity, while geospatial variables were less important. Our analysis revealed a pervasive pattern of increased tree susceptibility to drought across Northeast Asian forests. Specifically, at sites experiencing high climate water deficit, tree growth was consistently reduced across both broadleaved and coniferous species under conditions of low precipitation, elevated temperatures, and increased dryness during the growing season. Our findings suggest that ongoing climate warming may further negatively affect tree-growth performance, especially at drier sites, across Northeast Asian forests.
{"title":"Spatial heterogeneity of tree-growth responses to climate across temperate forests in Northeast Asia","authors":"Nela Altmanová , Pavel Fibich , Jiří Doležal , Václav Bažant , Tomáš Černý , Julieta G. Arco Molina , Tsutomu Enoki , Toshihiko Hara , Kazuhiko Hoshizaki , Hideyuki Ida , Pavel Janda , Akira Kagawa , Martin Kopecký , Kirill A. Korznikov , Pavel V. Krestov , Yasuhiro Kubota , Vojtěch Lanta , Martin Macek , Marek Mejstřík , Masahiro Nakamura , Jan Altman","doi":"10.1016/j.agrformet.2024.110355","DOIUrl":"10.1016/j.agrformet.2024.110355","url":null,"abstract":"<div><div>Ongoing climate change is having profound impacts on the growth and distribution of trees worldwide. However, there remain substantial gaps in our understanding of how environmental factors influence tree-growth responses to climate at larger scales, which is critical for identifying regions susceptible to the impacts of climate change. In this study, we aimed to reveal the main environmental factors that determine the spatial heterogeneity of tree-growth sensitivity to temperature, precipitation, and drought across temperate forests in Northeast Asia (30–45° N, 124–146° E). Utilising an extensive tree-ring network of 101 chronologies of 22 tree species, across 79 sites, we found that local climate, and especially climate water deficit, plays a dominant role in shaping the spatial heterogeneity of tree-growth sensitivity, while geospatial variables were less important. Our analysis revealed a pervasive pattern of increased tree susceptibility to drought across Northeast Asian forests. Specifically, at sites experiencing high climate water deficit, tree growth was consistently reduced across both broadleaved and coniferous species under conditions of low precipitation, elevated temperatures, and increased dryness during the growing season. Our findings suggest that ongoing climate warming may further negatively affect tree-growth performance, especially at drier sites, across Northeast Asian forests.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110355"},"PeriodicalIF":5.6,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841675","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}
Pub Date : 2024-12-18DOI: 10.1016/j.agrformet.2024.110372
Zhu Zhu , Xudong Zhu
Midday depression of photosynthesis (MD) refers to the phenomenon that vegetation's photosynthetic rate decreases at midday experiencing environmental stresses. Mangrove MD and its responses to heat and drought stresses offer valuable insights into understanding the impact of climate change on mangrove blue carbon. However, the temporal variability of mangrove MD and its interactions with these stresses across short time scales remain less investigated. Here, we quantified mangrove MD using two diurnal metrics, relative midday depression (RMD) and diurnal centroid shift (DCS), and examined its responses to heat (air temperature) and drought (vapor pressure deficit (VPD) and rain) stresses in a subtropical estuarine wetland of Southeast China, based on six-year eddy covariance measurements from 2017 to 2022. The results indicate: (1) mangrove MD occurred at air temperature or VPD above a certain threshold but became severe when the stresses co-existed; (2) RMD performed better than DCS in measuring mangrove MD; (3) monthly RMD had a clear seasonal pattern peaking in summer (up to 26.1 %), while annual RMD (5.0 ∼ 10.2 %) changed with gross primary productivity (GPP) in the opposite direction; (4) RMD increased with both air temperature (1.01 ∼ 1.35 %/ °C) and VPD (8.41 ∼ 13.79 %/kPa) for each year but with different sensitivities; (5) larger annual sensitivities of RMD to both air temperature and VPD tended to occur in drier years with less rain. This study highlights the importance of heat and drought stresses in affecting mangrove MD and GPP, implying that future warmer and drier climates are likely to weaken mangrove carbon uptake. Future empirical and model studies on mangrove blue carbon should explicitly consider sub-daily interactions between mangrove MD and environmental stresses to reduce the uncertainty in assessing mangrove carbon budget in the context of climate change.
{"title":"Increasing midday depression of mangrove photosynthesis with heat and drought stresses","authors":"Zhu Zhu , Xudong Zhu","doi":"10.1016/j.agrformet.2024.110372","DOIUrl":"10.1016/j.agrformet.2024.110372","url":null,"abstract":"<div><div>Midday depression of photosynthesis (MD) refers to the phenomenon that vegetation's photosynthetic rate decreases at midday experiencing environmental stresses. Mangrove MD and its responses to heat and drought stresses offer valuable insights into understanding the impact of climate change on mangrove blue carbon. However, the temporal variability of mangrove MD and its interactions with these stresses across short time scales remain less investigated. Here, we quantified mangrove MD using two diurnal metrics, relative midday depression (RMD) and diurnal centroid shift (DCS), and examined its responses to heat (air temperature) and drought (vapor pressure deficit (VPD) and rain) stresses in a subtropical estuarine wetland of Southeast China, based on six-year eddy covariance measurements from 2017 to 2022. The results indicate: (1) mangrove MD occurred at air temperature or VPD above a certain threshold but became severe when the stresses co-existed; (2) RMD performed better than DCS in measuring mangrove MD; (3) monthly RMD had a clear seasonal pattern peaking in summer (up to 26.1 %), while annual RMD (5.0 ∼ 10.2 %) changed with gross primary productivity (GPP) in the opposite direction; (4) RMD increased with both air temperature (1.01 ∼ 1.35 %/ °C) and VPD (8.41 ∼ 13.79 %/kPa) for each year but with different sensitivities; (5) larger annual sensitivities of RMD to both air temperature and VPD tended to occur in drier years with less rain. This study highlights the importance of heat and drought stresses in affecting mangrove MD and GPP, implying that future warmer and drier climates are likely to weaken mangrove carbon uptake. Future empirical and model studies on mangrove blue carbon should explicitly consider sub-daily interactions between mangrove MD and environmental stresses to reduce the uncertainty in assessing mangrove carbon budget in the context of climate change.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110372"},"PeriodicalIF":5.6,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841674","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}
Pub Date : 2024-12-18DOI: 10.1016/j.agrformet.2024.110365
Alexander Platter , Katharina Scholz , Albin Hammerle , Mathias W. Rotach , Georg Wohlfahrt
{"title":"Corrigendum to “Agreement of multiple night- and daytime filtering approaches of eddy covariance-derived net ecosystem CO2 exchange over a mountain forest” [Agricultural and Forest Meteorology Volume 356 (2024) 110173]","authors":"Alexander Platter , Katharina Scholz , Albin Hammerle , Mathias W. Rotach , Georg Wohlfahrt","doi":"10.1016/j.agrformet.2024.110365","DOIUrl":"10.1016/j.agrformet.2024.110365","url":null,"abstract":"","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110365"},"PeriodicalIF":5.6,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841673","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}
Pub Date : 2024-12-16DOI: 10.1016/j.agrformet.2024.110359
Bingqian Zhao , Wenxin Zhang , Peiyan Wang , Ludovica D'Imperio , Yijing Liu , Bo Elberling
The Arctic is undergoing a shift toward a warmer and wetter climate. Recent experiments indicate that the carbon balance of subarctic wet tundra is sensitive to both summer warming and deeper snow. However, few studies have combined experimental data with process-oriented models to predict how the terrestrial carbon cycle will respond to future climate change. Here, we use CoupModel, a process-oriented model, to investigate CO2 and CH4 dynamics in a subarctic wet tundra ecosystem under two contrasting climate change scenarios over the 21st century. Our findings show that the model successfully reproduced the treatment effects of warming on CO2 and CH4 fluxes comparing to measurements from control, open top chambers and snow addition plots. For 2014–2020, the studied ecosystem functioned as a minor source of CH4 and a neutral balance of CO2, resulting in the overall greenhouse gas emissions of 10.5 ± 79.1 g CO2-eq m-2 yr-1. The calibrated model was used to predict CO2 and CH4 fluxes and their seasonal variations under future climate scenarios. By 2100, a warmer climate could enhance the mean annual sink strength of CO2 to 10.7 g C-CO2 m-2 yr-1 under SSP126 (Shared Socioeconomic Pathway 1 and the radiative forcing level of 2.6 W m-2) and 26.2 g C-CO2 m-2 yr-1 under SSP585 (Shared Socioeconomic Pathway 5 and the radiative forcing level of 8.5 W/m²). However, increasing trends in the CH4 budget were marginally small. The negligible response of CH4 emission can be mainly explained by insignificantly wetter climate and limited soil C stock. For the radiative balance of the ecosystem, CO2-equivalent flux of methane offset 78% of CO2 sink in SSP126, and 31% in SSP585. Overall, the subarctic wet tundra transitions from being a source to a sink for greenhouse gases, excluding N2O.
{"title":"Predicting CO2 and CH4 fluxes and their seasonal variations in a subarctic wetland under two shared socioeconomic pathway climate scenarios","authors":"Bingqian Zhao , Wenxin Zhang , Peiyan Wang , Ludovica D'Imperio , Yijing Liu , Bo Elberling","doi":"10.1016/j.agrformet.2024.110359","DOIUrl":"10.1016/j.agrformet.2024.110359","url":null,"abstract":"<div><div>The Arctic is undergoing a shift toward a warmer and wetter climate. Recent experiments indicate that the carbon balance of subarctic wet tundra is sensitive to both summer warming and deeper snow. However, few studies have combined experimental data with process-oriented models to predict how the terrestrial carbon cycle will respond to future climate change. Here, we use CoupModel, a process-oriented model, to investigate CO<sub>2</sub> and CH<sub>4</sub> dynamics in a subarctic wet tundra ecosystem under two contrasting climate change scenarios over the 21<sup>st</sup> century. Our findings show that the model successfully reproduced the treatment effects of warming on CO<sub>2</sub> and CH<sub>4</sub> fluxes comparing to measurements from control, open top chambers and snow addition plots. For 2014–2020, the studied ecosystem functioned as a minor source of CH<sub>4</sub> and a neutral balance of CO<sub>2</sub>, resulting in the overall greenhouse gas emissions of 10.5 ± 79.1 g CO<sub>2</sub>-eq m<sup>-2</sup> yr<sup>-1</sup>. The calibrated model was used to predict CO<sub>2</sub> and CH<sub>4</sub> fluxes and their seasonal variations under future climate scenarios. By 2100, a warmer climate could enhance the mean annual sink strength of CO<sub>2</sub> to 10.7 g C-CO<sub>2</sub> m<sup>-2</sup> yr<sup>-1</sup> under SSP126 (Shared Socioeconomic Pathway 1 and the radiative forcing level of 2.6 W m<sup>-2</sup>) and 26.2 g C-CO<sub>2</sub> m<sup>-2</sup> yr<sup>-1</sup> under SSP585 (Shared Socioeconomic Pathway 5 and the radiative forcing level of 8.5 W/m²). However, increasing trends in the CH<sub>4</sub> budget were marginally small. The negligible response of CH<sub>4</sub> emission can be mainly explained by insignificantly wetter climate and limited soil C stock. For the radiative balance of the ecosystem, CO<sub>2</sub>-equivalent flux of methane offset 78% of CO<sub>2</sub> sink in SSP126, and 31% in SSP585. Overall, the subarctic wet tundra transitions from being a source to a sink for greenhouse gases, excluding N<sub>2</sub>O.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110359"},"PeriodicalIF":5.6,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142832637","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}
Pub Date : 2024-12-16DOI: 10.1016/j.agrformet.2024.110364
Andrew S. Kowalski , Jesús Abril-Gago
In the late 19th century, Osborne Reynolds published two papers whose impact on atmospheric turbulence studies can hardly be overstated. The first, Reynolds (1883) established both his eponymous, dimensionless number and his reputation as the father of turbulence science, which is beyond doubt. However, his second famous paper (Reynolds, 1895) sowed seeds of confusion regarding the mathematical separation of average (mean) and fluctuating (turbulent) components of a fluid flow. Here, we revisit both the prehistory and after-effects of Reynolds's second famous article, which seems to have been published largely thanks to his already entrenched reputation.
We show that successions of authors have misrepresented Reynolds's innovations – now known as Reynolds averaging and decomposition (RAAD) –, putting his name to methodologies that he never intended. We attribute this, in part, to Reynolds's predilection for long, inscrutable sentences, as well as his self-contradiction regarding the methodology for averaging the normal stress (or pressure). We examine two additional issues that are intimately related to using RAAD to define turbulent fluxes, namely its application to intensive versus extensive variables and the appearance of “Leonard terms” in the averaged equation of motion, neither of which is completely resolved. Throughout the manuscript, we identify a set of unanswered questions concerning RAAD and conclude that a complete mathematical description of turbulence is unlikely to emerge without addressing these issues, including the original inconsistency that was introduced by Osborne Reynolds himself.
{"title":"Exploring unresolved inquiries regarding the meaning of Reynolds averaging and decomposition: A review","authors":"Andrew S. Kowalski , Jesús Abril-Gago","doi":"10.1016/j.agrformet.2024.110364","DOIUrl":"10.1016/j.agrformet.2024.110364","url":null,"abstract":"<div><div>In the late 19th century, Osborne Reynolds published two papers whose impact on atmospheric turbulence studies can hardly be overstated. The first, Reynolds (1883) established both his eponymous, dimensionless number and his reputation as the father of turbulence science, which is beyond doubt. However, his second famous paper (Reynolds, 1895) sowed seeds of confusion regarding the mathematical separation of average (mean) and fluctuating (turbulent) components of a fluid flow. Here, we revisit both the prehistory and after-effects of Reynolds's second famous article, which seems to have been published largely thanks to his already entrenched reputation.</div><div>We show that successions of authors have misrepresented Reynolds's innovations – now known as Reynolds averaging and decomposition (RAAD) –, putting his name to methodologies that he never intended. We attribute this, in part, to Reynolds's predilection for long, inscrutable sentences, as well as his self-contradiction regarding the methodology for averaging the normal stress (or pressure). We examine two additional issues that are intimately related to using RAAD to define turbulent fluxes, namely its application to intensive versus extensive variables and the appearance of “Leonard terms” in the averaged equation of motion, neither of which is completely resolved. Throughout the manuscript, we identify a set of unanswered questions concerning RAAD and conclude that a complete mathematical description of turbulence is unlikely to emerge without addressing these issues, including the original inconsistency that was introduced by Osborne Reynolds himself.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110364"},"PeriodicalIF":5.6,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825181","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}
Pub Date : 2024-12-14DOI: 10.1016/j.agrformet.2024.110368
Xiaoxiang Zhao , Qiuxiang Tian , Anders Michelsen , Boshen Ren , Zhiyang Feng , Long Chen , Qinghu Jiang , Rudong Zhao , Feng Liu
Leaf litter decomposition plays an important role in nutrient and carbon cycling in terrestrial ecosystems. However, at a global scale, the effects of climate, initial litter chemistry, and different plant functional types on litter decomposition are not fully understood. Additionally, it remains unclear whether the effects of litter chemistry on leaf litter decomposition are consistent with responses observed at local scales. Here, 1585 observations of leaf litter decomposition encompassing 861 species from 298 field studies were synthesized to investigate the effects of climate, litter initial chemistry, and various plant groups on decomposition rates. The results demonstrate that at a global scale, leaf litter decomposition rates increased with mean annual temperature (MAT), mean annual precipitation (MAP), initial litter concentrations of nitrogen (N), phosphorus (P), and magnesium (Mg), but decreased with initial lignin concentrations. Moreover, except for initial leaf litter Mg concentrations, the influence of initial leaf litter chemistry characteristics on decomposition rates were consistent at global and local scales. In woody plants, leaf litters from deciduous, broadleaf, and arbuscular mycorrhizal (AM) species exhibited faster decomposition rates than from evergreen, coniferous, and ectomycorrhizal (ECM) species leaf litters, respectively. In herbaceous plants, the leaf litter of forbs had faster decomposition rates than graminoid and leguminous plants. For all plants, leaf litter decomposition is primarily controlled by MAP and MAT globally, while for woody and herbaceous plants, leaf litter decomposition is primarily controlled by initial leaf N and P concentrations, respectively. These results indicated that various functional groups of plants play a crucial role in understanding the decomposition of leaf litter. Moreover, when investigating the effect of leaf litter initial chemistry on its decomposition, it is almost unnecessary to consider effects at different scales.
落叶分解在陆地生态系统的养分和碳循环中发挥着重要作用。然而,在全球范围内,气候、初始落叶化学和不同植物功能类型对落叶分解的影响尚未完全明了。此外,目前还不清楚落叶化学对落叶分解的影响是否与在局部尺度上观察到的反应一致。本文综合了298项野外研究中对861个物种的1585次枯落叶分解观测,研究了气候、枯落叶初始化学性质和不同植物群对枯落叶分解率的影响。结果表明,在全球范围内,枯落叶分解率随年平均气温(MAT)、年平均降水量(MAP)、枯落叶初始氮(N)、磷(P)和镁(Mg)浓度的增加而增加,但随初始木质素浓度的增加而减少。此外,除初始落叶层镁浓度外,在全球和地方尺度上,初始落叶层化学特征对分解率的影响是一致的。在木本植物中,落叶、阔叶和丛枝菌根(AM)物种叶屑的分解速率分别快于常绿、针叶和外生菌根(ECM)物种叶屑的分解速率。在草本植物中,牧草的落叶分解速度快于禾本科植物和豆科植物。对所有植物而言,叶屑的分解主要受全球 MAP 和 MAT 的控制,而对木本植物和草本植物而言,叶屑的分解分别主要受初始叶片 N 和 P 浓度的控制。这些结果表明,植物的不同功能群对了解落叶的分解起着至关重要的作用。此外,在研究落叶初始化学成分对落叶分解的影响时,几乎没有必要考虑不同尺度的影响。
{"title":"Global pattern in terrestrial leaf litter decomposition: The effects of climate, litter chemistry, life form, growth form and mycorrhizal association","authors":"Xiaoxiang Zhao , Qiuxiang Tian , Anders Michelsen , Boshen Ren , Zhiyang Feng , Long Chen , Qinghu Jiang , Rudong Zhao , Feng Liu","doi":"10.1016/j.agrformet.2024.110368","DOIUrl":"10.1016/j.agrformet.2024.110368","url":null,"abstract":"<div><div>Leaf litter decomposition plays an important role in nutrient and carbon cycling in terrestrial ecosystems. However, at a global scale, the effects of climate, initial litter chemistry, and different plant functional types on litter decomposition are not fully understood. Additionally, it remains unclear whether the effects of litter chemistry on leaf litter decomposition are consistent with responses observed at local scales. Here, 1585 observations of leaf litter decomposition encompassing 861 species from 298 field studies were synthesized to investigate the effects of climate, litter initial chemistry, and various plant groups on decomposition rates. The results demonstrate that at a global scale, leaf litter decomposition rates increased with mean annual temperature (MAT), mean annual precipitation (MAP), initial litter concentrations of nitrogen (N), phosphorus (P), and magnesium (Mg), but decreased with initial lignin concentrations. Moreover, except for initial leaf litter Mg concentrations, the influence of initial leaf litter chemistry characteristics on decomposition rates were consistent at global and local scales. In woody plants, leaf litters from deciduous, broadleaf, and arbuscular mycorrhizal (AM) species exhibited faster decomposition rates than from evergreen, coniferous, and ectomycorrhizal (ECM) species leaf litters, respectively. In herbaceous plants, the leaf litter of forbs had faster decomposition rates than graminoid and leguminous plants. For all plants, leaf litter decomposition is primarily controlled by MAP and MAT globally, while for woody and herbaceous plants, leaf litter decomposition is primarily controlled by initial leaf N and P concentrations, respectively. These results indicated that various functional groups of plants play a crucial role in understanding the decomposition of leaf litter. Moreover, when investigating the effect of leaf litter initial chemistry on its decomposition, it is almost unnecessary to consider effects at different scales.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110368"},"PeriodicalIF":5.6,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823316","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}
Brown spot needle blight disease, caused by the fungus Lecanosticta acicola, affects pine trees across the northern hemisphere. In recent years, its incidence has expanded to new areas and host species. This is in association with climate change. Interest in understanding the basis of its epidemiology and proposing appropriate management measures has also increased. However, there is a lack of studies that characterise the relationship between spore abundance trends and climatic factors, which are essential to understand the spread of the disease. We collected spore abundance data for three years from 16 traps located in pine plantations over the Basque Country (north of Spain), the first European region where L. acicola was detected. A rapid change in pathogen behaviour led to serious financial losses in the forestry sector. We then modelled the relationship between spore abundance and weather variables in terms of generalised additive models. The resulting model was used to estimate the risk of disease spread over the whole area of Basque Country. We also generated a risk projection for the north of the Iberian Peninsula, an area influenced by the Atlantic climate, where the disease is currently causing severe damage. Cumulative rainfall acted as a reliable predictor of the spore abundance of the pathogen; thus, data from weather stations can be directly incorporated into early warning protocols to inform effective preventive actions.
{"title":"Risk prediction of Lecanosticta acicola spore abundance in Atlantic climate regions","authors":"David García-García , Nebai Mesanza , Rosa Raposo , Mª Teresa Pascual , Iskander Barrena , Amaia Urkola , Nagore Berano , Eugenia Iturritxa","doi":"10.1016/j.agrformet.2024.110360","DOIUrl":"10.1016/j.agrformet.2024.110360","url":null,"abstract":"<div><div>Brown spot needle blight disease, caused by the fungus <em>Lecanosticta acicola</em>, affects pine trees across the northern hemisphere. In recent years, its incidence has expanded to new areas and host species. This is in association with climate change. Interest in understanding the basis of its epidemiology and proposing appropriate management measures has also increased. However, there is a lack of studies that characterise the relationship between spore abundance trends and climatic factors, which are essential to understand the spread of the disease. We collected spore abundance data for three years from 16 traps located in pine plantations over the Basque Country (north of Spain), the first European region where <em>L. acicola</em> was detected. A rapid change in pathogen behaviour led to serious financial losses in the forestry sector. We then modelled the relationship between spore abundance and weather variables in terms of generalised additive models. The resulting model was used to estimate the risk of disease spread over the whole area of Basque Country. We also generated a risk projection for the north of the Iberian Peninsula, an area influenced by the Atlantic climate, where the disease is currently causing severe damage. Cumulative rainfall acted as a reliable predictor of the spore abundance of the pathogen; thus, data from weather stations can be directly incorporated into early warning protocols to inform effective preventive actions.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110360"},"PeriodicalIF":5.6,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820614","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}
Evapotranspiration (ET) and its induced perturbations in the surface energy balance have significant impacts on the carbon cycle, water cycle, and regional climate. The partitioning of ET (transpiration (T) and evaporation (E)) has significant implications for agricultural production and water management. Rising tropospheric ozone (O3) concentrations currently alter leaf stomatal conductance, which may affect ET. Paddy fields are characterized by flooding (during most of the growth period), vigorous crop ET, and a high percentage of E in ET. This may cause differences in the effects of elevated O3 on the ET in rice fields relative to previously reported dryland crops. Based on 3 years of in-situ observations, this study investigated energy allocation in a rice ecosystem using the energy balance residual method under two O3 treatments (1.5 times ambient air (AA; E-O3) and AA) at a Free Air O3 Concentration Enrichment facility. E-O3 caused a trend of higher net radiative flux (Rn) and sensible heat flux (H) in rice but only reached statistical significance on some days and at specific growth stages (e.g., jointing or booting) compared with AA. E-O3 attenuated the degree of response in energy allocation owing to the unique land-use patterns of paddy fields and climatic conditions during rice growth. Based on the modified Priestley–Taylor model, T decreased significantly at the grain-filling stage, and E increased during the full reproductive period, causing a significant increase in ET on some days after exposure to elevated O3. In conclusion, rice ecosystems have a weaker capacity to influence the water cycle and regional climate than drylands regarding rising O3 concentrations. However, the effects of E-O3 on E and T adversely affect the carbon cycle and agricultural production, indicating the need to optimize agricultural water management and cropping strategies under high O3 concentration region.
{"title":"Effects of elevated ozone on evapotranspiration and energy allocation of rice ecosystem under fully open-air field conditions","authors":"Yujie Zhang , Jianghua Wu , Yansen Xu , Yuqing Zhou , Shiyun Xu , Zhaozhong Feng","doi":"10.1016/j.agrformet.2024.110363","DOIUrl":"10.1016/j.agrformet.2024.110363","url":null,"abstract":"<div><div>Evapotranspiration (<em>ET</em>) and its induced perturbations in the surface energy balance have significant impacts on the carbon cycle, water cycle, and regional climate. The partitioning of <em>ET</em> (transpiration (<em>T</em>) and evaporation (<em>E</em>)) has significant implications for agricultural production and water management. Rising tropospheric ozone (O<sub>3</sub>) concentrations currently alter leaf stomatal conductance, which may affect <em>ET</em>. Paddy fields are characterized by flooding (during most of the growth period), vigorous crop <em>ET</em>, and a high percentage of <em>E</em> in <em>ET</em>. This may cause differences in the effects of elevated O<sub>3</sub> on the <em>ET</em> in rice fields relative to previously reported dryland crops. Based on 3 years of <em>in-situ</em> observations, this study investigated energy allocation in a rice ecosystem using the energy balance residual method under two O<sub>3</sub> treatments (1.5 times ambient air (AA; E-O<sub>3</sub>) and AA) at a Free Air O<sub>3</sub> Concentration Enrichment facility. E-O<sub>3</sub> caused a trend of higher net radiative flux (<em>R</em><sub>n</sub>) and sensible heat flux (<em>H</em>) in rice but only reached statistical significance on some days and at specific growth stages (e.g., jointing or booting) compared with AA. E-O<sub>3</sub> attenuated the degree of response in energy allocation owing to the unique land-use patterns of paddy fields and climatic conditions during rice growth. Based on the modified Priestley–Taylor model, <em>T</em> decreased significantly at the grain-filling stage, and <em>E</em> increased during the full reproductive period, causing a significant increase in <em>ET</em> on some days after exposure to elevated O<sub>3</sub>. In conclusion, rice ecosystems have a weaker capacity to influence the water cycle and regional climate than drylands regarding rising O<sub>3</sub> concentrations. However, the effects of E-O<sub>3</sub> on <em>E</em> and <em>T</em> adversely affect the carbon cycle and agricultural production, indicating the need to optimize agricultural water management and cropping strategies under high O<sub>3</sub> concentration region.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110363"},"PeriodicalIF":5.6,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816216","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}
Pub Date : 2024-12-13DOI: 10.1016/j.agrformet.2024.110353
Dongsheng Li , Wei Ouyang , Lei Wang , Jing Chen , He Zhang , Anarmaa Sharkhuu , Soyol-Erdene Tseren-Ochir , Yang Yang
Snowmelt is a critical water supply that affects the environmental security and sustainable development. However, the dynamic contributions of climatic factors to snowmelt and their impacts on soil moisture (SM) and vegetation growth remain unclear. In this study, by combining changes in spring snowmelt (snow water equivalent), climatic factors (precipitation and temperature), SM, and vegetation growth (normalized difference vegetation index [NDVI]) during 1982–2018, the spatiotemporal patterns in snowmelt and its mutual effects on SM and NDVI in a mid-high latitude watershed (Mongolia) were investigated. The results showed that spring snowmelt has decreased (-0.54 m/yr, p < 0.05) in Mongolia, with cold season temperature and precipitation identified as key influencing factors. The negative association between cold season temperature and snowmelt is intensifying (-0.0010 mm/yr, p > 0.05), while the positive influence of cold season precipitation is weakening (-0.0004 mm/yr, p > 0.05). Additionally, snowmelt provides 30 % of SM, and rising spring temperatures, along with reduced snowmelt, is the main reasons for SM decline (0.001 m³/m³/yr, p < 0.05). The negative impact of spring temperature on SM is growing (-0.0029 %/yr, p < 0.05), while snowmelt's positive contribution is diminishing (-0.0011 %/yr, p < 0.05). Furthermore, spring temperature has the strongest direct effect (positive) on vegetation, while SM exerts the greatest total influence (positive). Snowmelt indirectly affects (positive) vegetation through its role in SM. Despite vegetation increased in 60.5 % of the area, the declining trends in SM and snowmelt, alongside the reduced contribution of SM to vegetation (-0.0028/yr, p < 0.05), suggest an increased risk of future drought. Overall, this study provides new insights into the dynamics and interrelationships between snowmelt, SM, and vegetation in mid-to-high latitude regions, offering valuable implications for sustainable development decision-making.
融雪是影响环境安全和可持续发展的重要水源。然而,气候因子对融雪的动态贡献及其对土壤水分和植被生长的影响尚不清楚。结合1982-2018年春季融雪(雪水等值)、气候因子(降水和温度)、SM和植被生长(归一化植被指数[NDVI])的变化,研究了中高纬流域(蒙古)融雪的时空格局及其对SM和NDVI的相互影响。结果表明,春季融雪量减少(-0.54 m/yr, p <;0.05),冷季温度和降水是主要影响因素。冷季温度与融雪的负相关正在增强(-0.0010 mm/yr, p >;0.05),而冷季降水的正向影响正在减弱(-0.0004 mm/yr, p >;0.05)。此外,融雪量提供了30%的融雪量,春季气温上升和融雪量减少是融雪量下降的主要原因(0.001 m³/m³/yr, p <;0.05)。春季温度对SM的负面影响越来越大(- 0.0029% /yr, p <;0.05),而融雪的正贡献正在减小(- 0.0011% /年,p <;0.05)。春季气温对植被的直接影响最大(正),而SM对植被的总影响最大(正)。融雪通过其在SM中的作用间接影响(正)植被。尽管植被增加了60.5%,但SM和融雪量呈下降趋势,SM对植被的贡献减少(-0.0028/yr, p <;0.05),表明未来干旱的风险增加。总体而言,本研究为中高纬度地区融雪、SM和植被之间的动态关系和相互关系提供了新的见解,为可持续发展决策提供了有价值的启示。
{"title":"Revisiting snowmelt dynamics and its impact on soil moisture and vegetation in mid-high latitude watershed over four decades","authors":"Dongsheng Li , Wei Ouyang , Lei Wang , Jing Chen , He Zhang , Anarmaa Sharkhuu , Soyol-Erdene Tseren-Ochir , Yang Yang","doi":"10.1016/j.agrformet.2024.110353","DOIUrl":"10.1016/j.agrformet.2024.110353","url":null,"abstract":"<div><div>Snowmelt is a critical water supply that affects the environmental security and sustainable development. However, the dynamic contributions of climatic factors to snowmelt and their impacts on soil moisture (SM) and vegetation growth remain unclear. In this study, by combining changes in spring snowmelt (snow water equivalent), climatic factors (precipitation and temperature), SM, and vegetation growth (normalized difference vegetation index [NDVI]) during 1982–2018, the spatiotemporal patterns in snowmelt and its mutual effects on SM and NDVI in a mid-high latitude watershed (Mongolia) were investigated. The results showed that spring snowmelt has decreased (-0.54 m/yr, <em>p</em> < 0.05) in Mongolia, with cold season temperature and precipitation identified as key influencing factors. The negative association between cold season temperature and snowmelt is intensifying (-0.0010 mm/yr, <em>p</em> > 0.05), while the positive influence of cold season precipitation is weakening (-0.0004 mm/yr, <em>p</em> > 0.05). Additionally, snowmelt provides 30 % of SM, and rising spring temperatures, along with reduced snowmelt, is the main reasons for SM decline (0.001 m³/m³/yr, <em>p</em> < 0.05). The negative impact of spring temperature on SM is growing (-0.0029 %/yr, <em>p</em> < 0.05), while snowmelt's positive contribution is diminishing (-0.0011 %/yr, <em>p</em> < 0.05). Furthermore, spring temperature has the strongest direct effect (positive) on vegetation, while SM exerts the greatest total influence (positive). Snowmelt indirectly affects (positive) vegetation through its role in SM. Despite vegetation increased in 60.5 % of the area, the declining trends in SM and snowmelt, alongside the reduced contribution of SM to vegetation (-0.0028/yr, <em>p</em> < 0.05), suggest an increased risk of future drought. Overall, this study provides new insights into the dynamics and interrelationships between snowmelt, SM, and vegetation in mid-to-high latitude regions, offering valuable implications for sustainable development decision-making.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"362 ","pages":"Article 110353"},"PeriodicalIF":5.6,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816215","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}