Local homogeneity, in ecology, is the often undisclosed assumption that variability within populations is negligible or mostly distributed evenly. In large areas, this can lead to the aggregation of different populations without regard for their unique needs and characteristics, such as drought sensitivity and functional trait distributions. Here, we discuss whether this assumption can be justified, and we hypothesize that discerning the source of variation between plasticity and adaptation could be a feasible approach to formulate an informed decision. We test this hypothesis on plants, resorting to a common garden experiment to determine the source of variation of several plant functional traits at a local scale (~60 km) of three wild species: , , and . Individuals of each species were sourced from three key sites chosen along a local aridity gradient. Our approach led to the rejection of the local homogeneity assumption for and at this scale due to the adaptive divergence observed among neighboring populations. This case study provides evidence that addressing local homogeneity can highlight diverging populations in a relatively simple way. We conclude that gathering empirical evidence on intraspecific variability is a feasible approach that can provide researchers with solid bases to decide whether to adopt the local homogeneity assumption or not.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507572PMC
http://dx.doi.org/10.1002/ece3.10550DOI Listing

Publication Analysis

Top Keywords

local homogeneity
16
source variation
8
feasible approach
8
homogeneity assumption
8
local
7
homogeneity
5
populations
5
tackling local
4
local ecological
4
ecological homogeneity
4

Similar Publications

Precise Synthesis of 4.75 V-Tolerant LiCoO with Homogeneous Delithiation and Reduced Internal Strain.

J Am Chem Soc

January 2025

College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, National Laboratory of Solid State Microstructures, Collaborative Innovation Centre of Advanced Microstructures, Nanjing University, Nanjing 210093, P. R. China.

The rapid advancements in 3C electronic devices necessitate an increase in the charge cutoff voltage of LiCoO to unlock a higher energy density that surpasses the currently available levels. However, the structural devastation and electrochemical decay of LiCoO are significantly exacerbated, particularly at ≥4.5 V, due to the stress concentration caused by more severe lattice expansion and shrinkage, coupled with heterogeneous Li intercalation/deintercalation reactions.

View Article and Find Full Text PDF

Background: Knowledge of the chemical composition of amyloid plaques and tau tangles at the earlier stages of Alzheimer's disease (AD) pathology is sparse. This is due to limited access to human brain during life and at the earlier stages of AD pathophysiology and technical limitations in quantifying amyloid and tau species at a subcellular level. Understanding the chemical composition of plaques and tangles, how rapidly they grow and what factors drive growth is important for developing and refining therapeutics.

View Article and Find Full Text PDF

Background: Our goal is to identify conditions to produce structurally homogeneous and reproducible preparations of different polymorphic structures. Here we investigate the effect of several widely used methods for solubilizing Abeta on the subsequent aggregation process.

Method: Aliquots of HPLC-purified synthetic Aβ40 in originally lyophilized from acetonitrile/water (AcN) 50% v/v were dissolved in hexafluoroisopropanol (HFIP) 100%, AcN 50% v/v, NH4OH 2%, or 50 mM Phosphate buffer (PB), re-aliquoted and lyophilized.

View Article and Find Full Text PDF

Although impurities are unavoidable in real-world and experimental systems, most numerical studies on nucleation focus on pure (impurity-free) systems. As a result, the role of impurities in phase transitions remains poorly understood, especially for systems with complex free energy landscapes featuring one or more intermediate metastable phases. In this study, we employed Monte Carlo simulations to investigate the effects of static impurities (quenched disorder) of varying length scales and surface morphologies on the crystal nucleation mechanism and kinetics in the Gaussian core model system-a representative model for soft colloidal systems.

View Article and Find Full Text PDF

Single cells are typically typed by clustering into discrete locations in reduced dimensional transcriptome space. Here we introduce Stator, a data-driven method that identifies cell (sub)types and states without relying on cells' local proximity in transcriptome space. Stator labels the same single cell multiply, not just by type and subtype, but also by state such as activation, maturity or cell cycle sub-phase, through deriving higher-order gene expression dependencies from a sparse gene-by-cell expression matrix.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!