T. M. Knight

Utilising affordable smartphones and open-source time-lapse photography for monitoring pollinators

This study evaluates using smartphones and time-lapse photography for pollinator monitoring, finding that bees can be identified to genus level but flies are more challenging due to size and features.

Low land-use intensity buffers grasslands against future climate and inter-annual climate variability in a large field experiment

This study shows that low land-use intensity grasslands are more resilient to climate change than intensively managed ones, based on eight years of field experiments in Germany.

A standard protocol to report discrete stage-structured demographic information

The paper identifies issues in reporting matrix population models (MPMs) and introduces a standardized protocol to improve reproducibility and clarity in their presentation.

Antecedent effect models as an exploratory tool to link climate drivers to herbaceous perennial population dynamics data

This study evaluates antecedent effect models for linking climate drivers to plant population dynamics, finding they are better for hypothesis generation than prediction in small datasets.

Increasing temperature threatens an already endangered coastal dune plant

This study forecasts that a coastal dune plant will experience significant population decline and potential extinction due to a 1°C temperature increase.

Short-lived plants have stronger demographic responses to climate

The paper synthesizes population growth rate data from 165 plant populations to show precipitation has a larger effect on population growth than temperature, with short-lived species showing stronger responses.

Automated conservation assessment of the orchid family using deep learning

This study uses a deep learning model to automate conservation assessments for 13,910 orchid species, identifying 31.2% as Possibly Threatened and highlighting priority conservation areas.

Global analysis reveals complex demographic responses of mammals to climate change

The paper analyzes how climate change affects mammal demographics globally, finding that most species experience mixed demographic responses with some rates increasing and others declining.

A multiscale framework for disentangling the roles of evenness, density and aggregation on diversity gradients

The paper extends the MoB framework to analyze diversity gradients by quantifying the roles of evenness, density, and aggregation along environmental gradients using ant data from the Great Smoky Mountains.

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.