Agricultural and Forest Meteorology最新文献

{"title":"Impact of wetland conversion to cropland on ecosystem carbon budget and greenhouse gas emissions in Northeast China","authors":"Junjie Li ,&nbsp;Junji Yuan ,&nbsp;Yanhong Dong ,&nbsp;Deyan Liu ,&nbsp;Huijie Zheng ,&nbsp;Weixin Ding","doi":"10.1016/j.agrformet.2024.110311","DOIUrl":"10.1016/j.agrformet.2024.110311","url":null,"abstract":"<div><div>Wetlands provide a huge carbon (C) sink and represent strategic areas for regulating climate change. However, extensive wetlands have been lost since 1700, primarily for conversion to cropland. Currently, few studies have comprehensively evaluated changes in C budgets and greenhouse gas (GHG) emissions following wetland conversion to cropland. Here, we measured annual carbon dioxide (CO₂), methane (CH₄), and nitrous oxide (N₂O) emissions from a <em>Phragmites australis</em>-dominated wetland and adjacent wetland-converted soybean cropland by combining eddy covariance and chamber methods. We included biomass removal from cropland in the full C and GHG accounting. Annually, the <em>P. australis</em> wetland was a substantial atmospheric CH₄ source (50 ± 1 g CH₄ m^‒2) but strong CO₂ (‒1217 ± 162 g CO₂ m^‒2) and weak N₂O (‒0.1 kg N₂O ha^‒1) sinks, which collectively shaped a big C sink (‒294 ± 44 g C m^‒2) and net GHG source (180 ± 164 g CO₂-eq m^‒2). Converting <em>P. australis</em> wetland to soybean cropland demolished atmospheric CO₂ and N₂O sinks, and formed net sources of CO₂ (140 ± 149 g CO₂ m^‒2 yr^‒1) and N₂O (1.1 ± 0.2 kg N₂O ha^‒1 yr^‒1). Meanwhile, this conversion greatly reduced CH₄ emissions to 1.2 ± 0.5 g CH₄ m^‒2 yr^‒1. Taken together, soybean cropland was a net direct atmospheric C source of 39 ± 41 g C m^‒2 yr^‒1, while holding a GHG budget of 203 ± 150 g CO₂-eq m^‒2 yr^‒1. Further, grain and straw in cropland were removed during harvest, creating a C loss of 142 ± 18 g C m^‒2 yr^‒1, and eventually increased GHG budget to 722 ± 165 g CO₂-eq m^‒2 yr^‒1. Consequently, the full GHG debt of wetland-cropland conversion increased by dozens of times to 542 ± 233 g CO₂-eq m^‒2 yr^‒1, 95.8% of which attributed to biomass removal. Overall, our study contributes to growing recognition of C loss risks of wetland conversion to cropland and highlights the importance of straw return in mitigating climate impacts during agricultural activities.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"360 ","pages":"Article 110311"},"PeriodicalIF":5.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637061","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":"Spatially continuous estimation of urban forest aboveground biomass with UAV-LiDAR and multispectral scanning: An allometric model of forest structural diversity","authors":"Yalin Zhai ,&nbsp;Lei Wang ,&nbsp;Yunlong Yao ,&nbsp;Jia Jia ,&nbsp;Ruonan Li ,&nbsp;Zhibin Ren ,&nbsp;Xingyuan He ,&nbsp;Zhiwei Ye ,&nbsp;Xinyu Zhang ,&nbsp;Yuanyuan Chen ,&nbsp;Yezhen Xu","doi":"10.1016/j.agrformet.2024.110301","DOIUrl":"10.1016/j.agrformet.2024.110301","url":null,"abstract":"<div><div>Aboveground biomass (AGB) is a key parameter for assessing the carbon sequestration potential of urban ecosystems. However, traditional empirical models for AGB estimation often have poor transferability in urban environments, leading to overestimation or underestimation and limiting the ability to create continuous spatial maps of AGB. Recently, the relatively stable allometric relationships between forest structure and AGB have been further validated. With the increasing use of UAV remote sensing to monitor forest structural diversity (FSD) in urban areas, there is an urgent need to develop a method for quickly and accurately estimating AGB using FSD. This study focuses on an urban forestry demonstration base as the research area, aiming to establish an allometric growth model based on FSD to estimate AGB, grounded in the power-law relationship between forest structure and AGB. By systematically defining FSD, integrating UAV-LiDAR and multispectral data, and performing regression analysis, allometric modeling, model comparison, and accuracy assessment of extracted indicators, we thoroughly explored the optimal parameter combinations and estimation accuracy for estimating urban forest AGB using the FSD allometric model. The results show that combining FSD indicators through allometric relationships can improve AGB estimation accuracy to 80 % (R²_b=0.80, RMSE_b=2.79 kg/m², MAE_b=2.19 kg/m²), surpassing models that use only simplified FSD indicators (R²_b=0.63). Additionally, the proposed method captures nonlinear relationships and complex interactions better than traditional MLR, avoiding the overfitting that can occur with RF and XGBoost. This study confirms that allometric relationships with FSD indicators can be used for AGB prediction, highlighting the biological and physiological significance of FSD. It provides an alternative solution for rapid and large-scale AGB assessment in Urban forest.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"360 ","pages":"Article 110301"},"PeriodicalIF":5.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637059","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 influence of calibration data diversity on the performance of temperature-based spring phenology models for forest tree species in Central Europe","authors":"A. Picornell ,&nbsp;L. Caspersen ,&nbsp;E. Luedeling","doi":"10.1016/j.agrformet.2024.110302","DOIUrl":"10.1016/j.agrformet.2024.110302","url":null,"abstract":"<div><div>Global temperatures are increasing due to human-driven climate change, with notable implications for the flowering phenology of many forest tree species. Modelling the thermal requirements of these species is critical for projecting the impacts of climate change on forests and for developing appropriate adaptation strategies. Fitting models to phenological observations requires long time series of data, but such data are scarce. Researchers would benefit from combining databases from different locations to fit a single model. The aims of this study are to model the thermal requirements for flowering of the most relevant angiosperm tree species in central Europe and to determine if the accuracy of the models can be improved by limiting the geographic spread of the calibration data. To this end, we fitted the PhenoFlex phenology modelling framework using various subsets of records from the Pan-European Phenology database, which were paired with local temperature data. We used all available data for five species (<em>Acer platanoides, Alnus glutinosa, Betula pendula, Corylus avellana</em> and <em>Fraxinus excelsior</em>) to fit general thermal requirement models. We also fitted models using subsets of the dataset, limiting the calibration sets to data from climatically homogeneous regions and different geographical extents. The general models had average mean absolute errors of 8.51–15.15 days, indicating that they are effective in forecasting flowering onset for central Europe. Predictions did not improve when fitting models with data from temperature-homogeneous areas or from within small geographical extents. These findings suggest that fitting several models to cover parts of an extensive region does not necessarily perform better than fitting a single model for the whole region. This implies that including data from different locations within central Europe when calibrating models would increase the size of calibration datasets without causing a significant increase in model errors. This may help alleviate problems of data scarcity.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"360 ","pages":"Article 110302"},"PeriodicalIF":5.6,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142609787","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":"Convergence and differentiation of tree radial growth in the Northern Hemisphere","authors":"Yuan Yao ,&nbsp;Shu-Miao Shu ,&nbsp;Jian Feng ,&nbsp;Pei Wang ,&nbsp;Hao Jiang ,&nbsp;Xiao-Dan Wang ,&nbsp;Sheng Zhang","doi":"10.1016/j.agrformet.2024.110300","DOIUrl":"10.1016/j.agrformet.2024.110300","url":null,"abstract":"<div><div>Tree radial growth records both ontogenetic growth trends and environmental information. Although the former is usually excluded from climate-growth analyses, its gradual changes have a more profound effect on forest carbon sequestration. Elucidating the kinetic mechanism behind this intrinsic trend will greatly improve our understanding and prediction of climate-growth relationships. The iterative growth model (IGM) and its extensions link organism growth, lifespan, and respiration, providing important insights into this trend. Here, we extended the IGM to the tree-ring scale (IGMR) and used tree-ring width datasets across the Northern Hemisphere to analyse the constraints of tree ontogenetic growth trends on radial growth rate (along the radius gradient). On this basis, we further elucidated the convergence and differentiation of these growth trends across different climate types and clades. The results showed that: (i) ontogenetic growth trends of trees cause the radial growth rate to follow a typical unimodal pattern along the radius gradient. (ii) This unimodal pattern is a function of tree radial size, metabolic exponent, and maintenance metabolic rate, constraining the response of tree radial growth to climate. (iii) Ontogenetic growth trends result in an inherent trade-off between tree radial growth rate and lifespan. In conclusion, different growth drivers do not alter the constraining effect of tree size on radial growth. Ontogenetic growth trends should be considered in future studies of climate-growth relationships.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"360 ","pages":"Article 110300"},"PeriodicalIF":5.6,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142609983","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":"Coexistence of vascular plants and biocrusts under changing climates and their influence on ecosystem carbon fluxes","authors":"Weiqiang Dou ,&nbsp;Bo Xiao ,&nbsp;Tadeo Saez-Sandino ,&nbsp;Manuel Delgado-Baquerizo","doi":"10.1016/j.agrformet.2024.110298","DOIUrl":"10.1016/j.agrformet.2024.110298","url":null,"abstract":"<div><div>Vascular plants and biocrusts are highly vulnerable to climate change in drylands wherein they control carbon (C) cycling. In drylands, these organisms are known to thrive alone or coexisting with each other. Yet, how multiple combinations of biocrusts and vascular plants influence C cycling remains poorly understood. Here, we conducted a mesocosm field experiment in the Chinese Loess Plateau to investigate the influence of six contrasting microsites (bare soil, biocrust, shrub alone, shrub with biocrust, grass alone, and grass with biocrust) on ecosystem C fluxes, including changes in net ecosystem exchange (NEE), ecosystem respiration (<em>R</em>_e), and gross primary productivity (GPP). We also analyzed the influence of environmental factors (e.g., water and solar radiation) on ecosystem C fluxes across different microsites. Finally, the annual (2022.6–2023.6) NEE was simulated and estimated based on a random forest model to quantify the contributions (net C uptake or emissions) of biocrusts and vascular plants and their coexistence to C budgets in drylands. Our results showed that biocrusts and vascular plants largely regulate C fluxes in this dryland, and more importantly, that the manner in which these biotic components are combined, strongly influence the outcomes for C fluxes. In particular, we showed that microsites of biocrusts, vascular plants, and their coexistence increased GPP and <em>R</em>_e by 1.2–6.1, 1.5–56.2, and 1.1–50.0 times, respectively, compared to bare soil microsite. All these microsites supported a net C uptake (–0.31 to –10.84 μmol m^–2 s^–1) except from bare soil, which was net C emission (+1.39 μmol m^–2 s^–1). However, we also found that compared to vascular plant microsites, biocrust-vascular plant coexistence reduced NEE, <em>R</em>_e, and GPP by 21 %–29 % (closer to zero), 39 %–40 %, and 12 %–33 % respectively, suggesting some sort of competition among biotic components. Also, annual NEE was 37 %–159 % (closer to zero) lower at biocrust-vascular plant coexistence compared to biocrusts or vascular plants thriving alone. Correlation analysis results showed that temporal variation in C fluxes of biocrusts, vascular plants, and their coexistence were mainly driven by soil water content and photosynthetically active radiation. In summary, our work showed that vascular plants and biocrusts are key drivers of C cycling in this dryland, and further provide novel insights that considering the different biotic components of these drylands alone and in combination is critical to finetune our measurements for C fluxes in a context of climate change.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"360 ","pages":"Article 110298"},"PeriodicalIF":5.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142601136","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":"Assessment of non-stationary tree growth responses in the forest-tundra and southern taiga of central Siberia","authors":"Alexander V. Kirdyanov ,&nbsp;Alberto Arzac ,&nbsp;Anatoly S. Prokushkin ,&nbsp;Dmitriy V. Ovchinnikov ,&nbsp;Alexander I. Bondarev ,&nbsp;Pavel P. Silkin ,&nbsp;Tatiana Bebchuk ,&nbsp;Jan Esper ,&nbsp;Ulf Büntgen","doi":"10.1016/j.agrformet.2024.110296","DOIUrl":"10.1016/j.agrformet.2024.110296","url":null,"abstract":"<div><div>Anthropogenically induced climate change largely affects the functioning of vegetation communities worldwide. In the world's largest land biome, the boreal forest, a persistent decoupling of tree growth from rising summer temperatures has been recorded in recent decades. This so-called ‘Divergence Problem’ (DP) has been studied over the past 30 years, yet the causes and spatial patterns within the boreal forest zone are not well understood. Here, we present tree-ring evidence on varying DP in <em>Larix gmelinii</em> from the globally northernmost forest island on Taymyr Peninsula and <em>Larix sibirica</em> from the southern taiga in central Siberia. Tree-ring width and maximum latewood density data reveal DP to be substantially stronger in the south indicating that growth-climate relationships in Siberian larch passed beyond a tipping point under warmer climate and increased anthropogenic pressure. In the north, the temperature signal remained strong and temporally stable underscoring the skill of tree-ring chronologies for long-term climate reconstructions. These findings highlight the heterogeneity of tree growth responses to global warming within the boreal forest zone, from which spatially varying consequences for carbon and water cycle dynamics must be expected. Our study emphasizes the importance of updating tree-ring chronologies in remote regions within boreal forest zone to foster understanding of spatiotemporal patterns in biomass allocation, permafrost degradation, and DP across this large biome.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"360 ","pages":"Article 110296"},"PeriodicalIF":5.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142601076","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":"Biometeorological feedbacks on peatlands: Raising the water table to reduce meteorologically-related stress on cattle","authors":"Wanda Gherca ,&nbsp;Inke Forbrich ,&nbsp;Adrien Jacotot ,&nbsp;Sara H. Knox ,&nbsp;Paul G. Leahy ,&nbsp;Ross Morrison ,&nbsp;Torsten Sachs ,&nbsp;Elke Eichelmann","doi":"10.1016/j.agrformet.2024.110279","DOIUrl":"10.1016/j.agrformet.2024.110279","url":null,"abstract":"<div><div>Peatland restoration is an important mitigation action in the fight against climate change. Researchers encourage farmers to rewet deep-drained lands on organic soil to a shallow water table depth (WTD) to reduce carbon emissions. Raising WTD under grasslands will likely affect local air temperature (TA) and increase relative humidity (RH), with uncertain consequences during heat waves on cattle welfare. We used WTD, TA and RH data (both measured between 1.25 and 2 m above ground) from 22 peatland sites globally to evaluate peatlands’ overall Temperature Humidity Index (THI), an indicator correlated to cattle welfare used in dairy farms (THI&gt;68 increases heart rate, breathing rate and reduces milk yield). We compared them with THI at state weather stations located on neighbouring lands with short grass on non-organic soil, and assessed the impact of WTD.</div><div>At most sites, peatlands with shallow WTD had lower TA, higher RH, and an overall lower THI than surrounding lands, compared to those with deep WTD. In most cases, THI decreased with increasing WTD, especially at night in the temperate region, except for coastal peatlands. Shallow and submerged sites had 20 % less hours with stressful meteorologic conditions (high THI) than surrounding areas. In contrast, the number of hours with high THI did not change significantly on peatlands with WTD under 20 cm below ground level compared to control sites. Our results confirm the influence of WTD on local temperature and THI, and suggest that raising WTD on drained peatlands will slightly improve cattle welfare with reduced THI during heat waves, but also acknowledge that local geographic characteristics add complexity to this relationship. Our research indicates that raising WTD to ground level in sections of grasslands could provide “heat wave shelters” and increase cattle resilience to climate change while contributing to the global reduction of carbon emissions.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"360 ","pages":"Article 110279"},"PeriodicalIF":5.6,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597516","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":"Flowering seasonality and airborne pollen recent trends in Sierra de las Nieves, the southernmost National Park in continental Spain","authors":"Enrique de Gálvez-Montañez,&nbsp;M. Mar Trigo,&nbsp;Marta Recio,&nbsp;Antonio Picornell","doi":"10.1016/j.agrformet.2024.110295","DOIUrl":"10.1016/j.agrformet.2024.110295","url":null,"abstract":"<div><div>Sierra de las Nieves is the southernmost National Park in continental Spain and, in a global warming scenario, it is important to determine the impacts of climatic variations on the vegetation, with special relevance to their reproductive cycles. The flowering seasonality and intensity of the dominant anemophilous species usually reflect the response of the vegetation to climate variations, which can be monitored through the atmospheric pollen concentrations. In this study, airborne pollen was analysed for 6 years (2018–2023). A pollen calendar was elaborated to show the flowering seasonality and intensity of the dominant anemophilous taxa. Spring was the season with the highest airborne pollen diversity and intensity, <em>Quercus</em> being the pollen type with the highest concentrations. We observed that weather conditions influenced the presence of airborne pollen. Precipitation and relative humidity reduce pollen concentrations, while temperature rises increase them during the pre-peak period and reduce them during the post-peak. Wind dynamics play different roles depending on the pollen type considered given the heterogeneous distribution of the pollen emission sources. Significant advances were detected in the start date of the main pollen season of <em>Quercus</em> and <em>Olea</em>, as well as in the peak date of <em>Quercus.</em> On the contrary, other taxa such as <em>Pinus</em> or Poaceae did not show any trend. This brings to the fore that the responses to climatic variations may differ from one taxon to another, a continuous study in natural areas being required for detecting possible changes in the observed trends.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"359 ","pages":"Article 110295"},"PeriodicalIF":5.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580098","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":"Contrasting performance of panel and time-series data models for subnational crop forecasting in Sub-Saharan Africa","authors":"Donghoon Lee ,&nbsp;Frank Davenport ,&nbsp;Shraddhanand Shukla ,&nbsp;Greg Husak ,&nbsp;Chris Funk ,&nbsp;James Verdin","doi":"10.1016/j.agrformet.2024.110213","DOIUrl":"10.1016/j.agrformet.2024.110213","url":null,"abstract":"<div><div>We comprehensively examine methodologies tailored for subnational crop yield and production forecasting by integrating Earth Observation (EO) datasets and advanced machine learning approaches. We scrutinized diverse input data types, cross-validation methods, and training durations, focusing on maize production and yield predictions in Burkina Faso and Somalia. Central to our analysis is the comparative assessment of using time-invariant features within a panel data (PD) model versus a time-series data (TD) model. The TD model performed well in predicting both production and yield, while the PD model offered comparable yield predictions. Time-invariant features such as livelihood zones, soil properties, and cropland extents enriched the spatial understanding of crop data, enhancing the R-squared by 0.09 (0.21) for production and 0.11 (0.03) for yield, with corresponding reductions in the Mean Absolute Percentage Error by 90 % (238 %) for production and 5 % (4 %) for yield in Burkina Faso (Somalia). While Burkina Faso's consistent crop data allowed for effective modeling with brief training, Somalia benefited from the adaptability of the PD model to crop statistics outliers, particularly with extended training in high-producing regions. The PD approach showed promise in addressing data gaps, although predicting crop productions for unobserved districts remained a challenge. Our findings highlight the harmonious integration of EO data and machine learning in the field of agricultural forecasting and emphasize the importance of region-specific methodologies, especially in the rapidly changing landscape of EO data convergence.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"359 ","pages":"Article 110213"},"PeriodicalIF":5.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580228","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":"Environmental characterization for rainfed maize production in the US Great Plains region","authors":"Lucas N. Lingua ,&nbsp;Ana J.P. Carcedo ,&nbsp;Víctor D. Giménez ,&nbsp;Gustavo A. Maddonni ,&nbsp;Ignacio A. Ciampitti","doi":"10.1016/j.agrformet.2024.110286","DOIUrl":"10.1016/j.agrformet.2024.110286","url":null,"abstract":"<div><div>Identifying regions with similar productivity and yield-limiting climatic factors enables the design of tailored strategies for rainfed maize (<em>Zea mays L</em>.) production in vulnerable environments. Within the United States (US), the Great Plains region is susceptible to weather fluctuations, particularly in Kansas, where rainfed maize production is a significant agricultural activity. This study aims to delimit environmental regions with similar crop growth conditions and to identify the main climatic factors limiting rainfed maize yield, using the state of Kansas as a case study. For this purpose, databases encompassing the period from 1993 to 2021 period, including NOAA weather station data (<em>n</em> = 208), USDA county maize yield data, and crop phenology reports at the agricultural district scale, were compiled for analysis. Four periods based on crop phenology data were defined: fallow period, vegetative period, critical period around flowering (± 15 days), and grain filling period, each with reported climatic variables. A Fuzzy c-means clustering algorithm identified ten productive regions. Grain yields range from ∼3500 to ∼7500 kg ha⁻¹, spanning South-West to North-East regions. Within each region, correlation analysis was carried out between detrended yields and climatic anomalies to identify the most relevant seasonal climatic factors over 29 years. Extreme degree days (i.e., accumulating maximum air temperature above 35  °C) and vapor pressure deficit during the critical period are the main climatic drivers of rainfed maize yield across regions. In Kansas, extreme degree days exhibit a east-to-west and north-to-south increase. Yield decreased by 46 kg ha⁻¹ per  °Cd of extreme degree days during the critical period across regions, with maximum yield penalty in the south-east region. This methodology contributes to the knowledge of the most relevant climatic drivers of rainfed maize, with the potential for application in other regions for the development of adaptive management strategies and policies.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"359 ","pages":"Article 110286"},"PeriodicalIF":5.6,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142563278","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}