J. Chase

Local changes dominate variation in biotic homogenization and differentiation

The paper analyzes long-term biodiversity data to show that local diversity changes drive biotic homogenization and differentiation, with homogenization more common at larger spatial and temporal scales.

Interacting abiotic and biotic drivers shape woody invasions across Hawaiian forests

The paper identifies factors shaping alien woody species richness and abundance in Hawaiian forests, finding environmental filtering influences colonization but not dominance.

Differential impact of a dyskeratosis congenita mutation in TPP1 on mouse hematopoiesis and germline

This study examines the impact of a dyskeratosis congenita mutation in TPP1 on mouse hematopoiesis and germline, finding progressive telomere erosion and infertility without bone marrow failure.

Local biodiversity change reflects interactions among changing abundance, evenness and richness

The paper examines how changes in species abundance, evenness, and richness interact in local biodiversity, finding that richness changes are influenced by coordinated shifts in abundance and evenness, with stronger temporal correlations than spatial ones.

Disentangling metacommunity processes using multiple metrics in space and time

The paper develops a Virtual ecologist approach to evaluate metacommunity assembly processes using spatial and temporal community structure statistics and random forests.

Emergence of stable motifs in consumer-resource communities

The paper shows that vertical trophic chains emerge as stable and efficient structures in consumer-resource communities under minimal conditions.

The Internal Structure of Metacommunities

The paper introduces a new framework to analyze the internal structure of metacommunities by examining how different species and sites contribute to metacommunity attributes, using synthetic data and Joint Species Distribution Models.

A process-based metacommunity framework linking local and regional scale community ecology

This paper presents a new metacommunity framework that links local and regional ecological dynamics through three key processes and demonstrates how existing theories are connected by these processes.

A cross-scale assessment of productivity-diversity relationships

This study examines how productivity influences diversity (NPP→S) and diversity influences productivity (S→NPP) across different spatial scales in North American forests.

Island species-area relationships in the Andaman islands emerge because rarer species are disproportionately favored on larger islands.

The paper examines the Island Species-Area Relationship (ISAR) in the Andaman and Nicobar archipelago, finding that larger islands disproportionately favor rarer species, suggesting non-random processes drive biodiversity patterns.

Biodiversity trends are stronger in marine than terrestrial assemblages

The paper analyzes biodiversity trends across 50,000 time-series, finding stronger compositional change and species turnover in marine assemblages compared to terrestrial ones.

Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities

This paper investigates how biodiversity changes across spatial scales and introduces methods to better quantify these changes using rarefaction curves and case studies.

MoB (Measurement of Biodiversity): a method to separate the scale-dependent effects of species abundance distribution, density, and aggregation on diversity change

The paper introduces MoB, a method to decompose changes in species richness into components of abundance distribution, density, and spatial arrangement, and applies it to plant species data in invaded and uninvaded woodlands.

Integrating global patterns and drivers of tree diversity across a continuum of spatial grains

This paper integrates global tree diversity data across different spatial scales to identify drivers of biodiversity and map high-turnover regions.

Routine Single Particle CryoEM Sample and Grid Characterization by Tomography

This study uses fiducial-less tomography to analyze cryoEM grids and finds that 90% of particles are adsorbed to air-water interfaces, impacting protein structure and single particle analysis.