Does the seed fall far from the tree? Weak fine-scale genetic structure in a continuous Scots pine population by Niskanen, Alina K., Kujala, Sonja T., Kärkkäinen, Katri, Savolainen, Outi, Pyhäjärvi, Tanja

“…Detailed empirical estimates of dispersal are necessary both in studying post-glacial recolonization and predicting the response of forest trees to climate change.…”
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Energy sufficiency for deep decarbonization: A modeling framework by Jingjing Zhang, Michelle Johnson-Wang, Nina Khanna, Max Wei, Bianka Shoai-Tehrani, Nan Zhou

“…Both elements are vital to rethinking established systems of production and consumption in the face of energy crises and climate change. The developing field of energy sufficiency can potentially constrain energy use within planetary resources while meeting humanity’s needs. …”
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Enhanced gap-filling for satellite-derived crop monitoring using temperature-driven reconstruction techniques by Flavian Tschurr, Lukas Valentin Graf, Achim Walter, Helge Aasen

“…A solid understanding of plant growth is crucial for maintaining future crop productivity in the face of climate change. Remote sensing of crop functional traits using optical satellite imagery provides a valuable tool for determining effective management techniques that reduce risk and enhance agroecosystem resilience. …”
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Study on the Impact of Climate Warming on Mariculture in China by GAO Jia, YANG Huaiyu

“…Based on the above research results, this paper puts forward a series of targeted policy suggestions, including strengthening the construction of climate change research and early warning system, optimize the spatial layout of mariculture industry, strengthen disease prevention and control and health management measures, establish and improve the risk management mechanism, in order to cope with the impact of climate warming, promote the sustained, stable and development of mariculture in China provide important reference.…”
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A Monthly Water Balance Model for Vineyard Planning and Inter-Row Management by Maria Costanza Andrenelli, Sergio Pellegrini, Claudia Becagli, Alessandro Orlandini, Rita Perria, Paolo Storchi, Nadia Vignozzi

“…Vineyard is one of the most complex and vulnerable agroecosystems, and ongoing climate change makes it necessary to identify effective management and adaptation practices. …”
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Rebuilding Participatory Institutions in Brazil: The <i>PPA Participativo</i> Between Corporate Demands and Climate and Animal Rights by Priscila Delgado de Carvalho, Priscila Zanandrez, Diego Matheus de Menezes

“…The program of the Ministry of the Environment on climate change reached the top position in this segment, largely due to its strong campaigning strategy. …”
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Microbial Inoculants in Sustainable Agriculture: Advancements, Challenges, and Future Directions by Alondra María Díaz-Rodríguez, Fannie Isela Parra Cota, Luis Alberto Cira Chávez, Luis Fernando García Ortega, María Isabel Estrada Alvarado, Gustavo Santoyo, Sergio de los Santos-Villalobos

“…The rapid growth of the human population has significantly increased the demand for food, leading to the intensification of agricultural practices that negatively impact the environment. Climate change poses a significant threat to global food production, as it can disrupt crop yields and modify the lifecycle stages of phytopathogens and pests. …”
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Revealing joint evolutions and causal interactions in complex ecohydrological systems by a network-based framework by L. Wang, H. Gu, L. Liu, X. Liang, S. Chen, Y.-P. Xu

“…<p>There is evidence that climate change and human activities are changing ecohydrological systems, yet the complex relationships among ecological (normalized difference vegetation index, gross primary productivity, and water use efficiency) and hydrological variables (runoff, soil water storage, groundwater storage, etc.) remain understudied. …”
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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

“…<h4>Background</h4>Leptospirosis is a neglected zoonotic disease prevalent worldwide, particularly in tropical regions experiencing frequent rainfall and severe cyclones, which are further aggravated by climate change. This bacterial zoonosis, caused by the Leptospira genus, can be transmitted through contaminated water and soil. …”
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Changes in physical characteristics of extreme rainfall events during the Indian summer monsoon based on downscaled and bias-corrected CMIP6 models by Stella Jes Varghese, Sreenivas Pentakota, Pushpalatha Thadivalasa, Gopikrishna Podapati, Karumuri Ashok

“…The future changes in EREs projected by these models for four climate change scenarios—Shared Socioeconomic Pathways (SSPs), 1–2.6, 2–4.5, 3–7.0 and 5–8.5 were estimated using percentile thresholds. …”
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How to Achieve a 50% Reduction in Nutrient Losses From Agricultural Catchments Under Different Climate Trajectories? by Maarten Wynants, Johan Strömqvist, Lukas Hallberg, John Livsey, Göran Lindström, Magdalena Bieroza

“…Overall, this study successfully demonstrated a modeling approach for evaluating best‐management practices under diverging climate change trajectories, tailored to the catchment characteristics and specific nutrient reduction targets.…”
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Exploring household water conservation behaviors in Saudi Arabia: A structural equation modeling approach by Abdulaziz I. Almulhim, Ismaila Rimi Abubakar

“…Water conservation is crucial for human sustainable development, particularly in the face of increasing global challenges such as freshwater scarcity, rapid urbanization, and climate change. This study employs structural equation modeling (SEM) to investigate water conservation behaviors among households in Saudi Arabia. …”
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A globalizáció és a kohéziós politika hatása Magyarországon a 2014-2020-as időszakban (Globalisation and the Effect of the Cohesion Policy in Hungary in 2014-2020) by Csaba Sarido, Péter Bertalan

“…According to the EU budget for 2014-2020 the cohesion policy invests 325 billion euros in member states in order to be able to accomplish the aims related to growth and the creation of workplaces and deal with the challenges of climate change, energy dependency and social exclusion. …”
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Evaluation and Analysis of Soil Temperature Data over Poyang Lake Basin, China by Ming-jin Zhan, Lingjun Xia, Longfei Zhan, Yuanhao Wang

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Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

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Spatiotemporal Variability and Change of the South China Spring Precipitation during 1961–2012 by Hong-Lan Liu, Qiang Zhang, Jun-Qin Guo, Jun-Guo Zhang, Sheng Wang

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“Pillaring Effects” in Cross-Linked Cellulose Biopolymers: A Study of Structure and Properties by Inimfon A. Udoetok, Lee D. Wilson, John V. Headley

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Taxonomic Blind Spots: A Limitation of Environmental DNA Metabarcoding‐Based Detection for Canadian Freshwater Fishes by Kevin C. Morey, Erika Myler, Robert Hanner, Gerald Tetreault

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DETERMINATIONS OF THE SOWING TIME OF GRASS PEA IN TEF- GRASS PEA RELAY INTERCROPPING SYSTEMS by Agegnehu Shibabaw, Bitwoded Derebe, Yechale Mengie, Oumer Beshir, Wudu Getahun, Alemayehu Assefa

“…However, the productivity of grass pea in the tef-grass pea double cropping system is extremely unreliable due to the shortening of the growing period as a result of climate change. Tef-grass pea relay intercropping has practiced without a defined planting date for grass peas after tef sowing. …”
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Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem by Lu Ye, Saadya Fahad Jabbar, Musaddak M. Abdul Zahra, Mou Leong Tan

“…The artificial intelligence (AI) algorithm is generally used for stochastic forecasting rainfall which is not capable to simulate unseen extreme rainfall events which become common due to climate change. A new model is developed in this study for prediction of daily rainfall for different lead times based on sea level pressure (SLP) which is physically related to rainfall on land and thus able to predict unseen rainfall events. …”
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