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Background Agricultural systems face unprecedented threats from climate change-induced environmental stresses ( e.g., drought, salinity, and heatwaves). These environmental stresses limit crop productivity, degrade soil health, and threaten global food security, highlighting the urgent need for innovative and sustainable solutions. Harnessing soil and plant-associated microbiomes offers transformative potential to enhance plan...
Bridging Wright–Fisher and Moran modelsNARA Subscribed
SAPEVO-PC: Integrating Multi-Criteria Decision-Making and Machine Learning to Evaluate Navy ShipsOA Marine
The selection of a navy ship is essential to guarantee a country’s sovereignty, deterrence capabilities, and national security, especially in the face of possible conflicts and diplomatic instability. This paper proposes the integration of concepts related to multi-criteria decision making (MCDM) methodology and machine learning, creating the Simple Aggregation of Preferences Expressed by Ordinal Vectors—Principal Components (...
Camera trap surveys of A tlantic F orest mammals: A data set for analyses considering imperfect detection (2004–2020)NARA Subscribed
Camera traps became the main observational method of a myriad of species over large areas. Data sets from camera traps can be used to describe the patterns and monitor the occupancy, abundance, and richness of wildlife, essential information for conservation in times of rapid climate and land‐cover changes. Habitat loss and poaching are responsible for historical population losses of mammals in the Atlantic Forest biodiversity...