Leaf morphological traits show greater responses to changes in climate than leaf physiological traits and gas exchange variables.

Ecol Evol

Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences UNSW Sydney New South Wales Australia.

Published: March 2024

AI Article Synopsis

  • Plants can adapt to climate change by altering their leaf characteristics and physiological traits to survive.
  • A study used historic seeds and modern seeds to compare how climate change affected leaf morphology and gas exchange in different regions.
  • Results indicated that regions with more significant climate changes saw greater modifications in leaf traits, particularly in physical characteristics, while physiological traits showed less variation.

Article Abstract

Adaptation to changing conditions is one of the strategies plants may use to survive in the face of climate change. We aimed to determine whether plants' leaf morphological and physiological traits/gas exchange variables have changed in response to recent, anthropogenic climate change. We grew seedlings from resurrected historic seeds from ex-situ seed banks and paired modern seeds in a common-garden experiment. Species pairs were collected from regions that had undergone differing levels of climate change using an emerging framework-Climate Contrast Resurrection Ecology, allowing us to hypothesise that regions with greater changes in climate (including temperature, precipitation, climate variability and climatic extremes) would be greater trait responses in leaf morphology and physiology over time. Our study found that in regions where there were greater changes in climate, there were greater changes in average leaf area, leaf margin complexity, leaf thickness and leaf intrinsic water use efficiency. Changes in leaf roundness, photosynthetic rate, stomatal density and the leaf economic strategy of our species were not correlated with changes in climate. Our results show that leaves do have the ability to respond to changes in climate, however, there are greater inherited responses in morphological leaf traits than in physiological traits/variables and greater responses to extreme measures of climate than gradual changes in climatic means. It is vital for accurate predictions of species' responses to impending climate change to ensure that future climate change ecology studies utilise knowledge about the difference in both leaf trait and gas exchange responses and the climate variables that they respond to.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10951557PMC
http://dx.doi.org/10.1002/ece3.10941DOI Listing

Publication Analysis

Top Keywords

changes climate
20
climate change
20
climate
13
leaf
12
greater changes
12
leaf morphological
8
greater responses
8
changes
8
gas exchange
8
exchange variables
8

Similar Publications

Wolbachia-based mosquito control strategies have gained significant attention as a sustainable approach to reduce the transmission of vector-borne diseases such as dengue, Zika, and chikungunya. These endosymbiotic bacteria can limit the ability of mosquitoes to transmit pathogens, offering a promising alternative to traditional chemical-based interventions. With the growing impact of climate change on mosquito population dynamics and disease transmission, Wolbachia interventions represent an adaptable and resilient strategy for mitigating the public health burden of vector-borne diseases.

View Article and Find Full Text PDF

Objectives: Although bluetongue is not a contagious disease, it is easily transmitted and spread by appropriate insect vectors, causing great economic damage. Climate change has led to the fact that vectors and diseases have spread to the top of Northern Europe, causing great economic losses in livestock production. An even greater problem is controlling the disease, because numerous species of domestic and wild ruminants are susceptible to bluetongue.

View Article and Find Full Text PDF

Application of Machine Learning to Predict CO Emissions in Light-Duty Vehicles.

Sensors (Basel)

December 2024

Department of Computer Science, School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK.

Climate change caused by greenhouse gas (GHG) emissions is an escalating global issue, with the transportation sector being a significant contributor, accounting for approximately a quarter of all energy-related GHG emissions. In the transportation sector, vehicle emissions testing is a key part of ensuring compliance with environmental regulations. The Vehicle Certification Agency (VCA) of the UK plays a pivotal role in certifying vehicles for compliance with emissions and safety standards.

View Article and Find Full Text PDF

Deep FS: A Deep Learning Approach for Surface Solar Radiation.

Sensors (Basel)

December 2024

Department of Computer Engineering, Konya Food and Agriculture University, Konya 42080, Turkey.

Contemporary environmental challenges are increasingly significant. The primary cause is the drastic changes in climates. The prediction of solar radiation is a crucial aspect of solar energy applications and meteorological forecasting.

View Article and Find Full Text PDF

Measuring Precipitation via Microwave Bands with a High-Accuracy Setup.

Sensors (Basel)

December 2024

Department of Informatics and Telecommunications, University of Peloponnese, Acadimaikou G.K. Vlachou, 22100 Tripolis, Greece.

The urgent need for timely and accurate precipitation estimations in the face of ongoing climate change and the increasing frequency and/or intensity of extreme weather events underscores the necessity for innovative approaches. Recently, several studies have focused on estimating the precipitation rate through induced attenuation of radio frequency (RF) signals, which are abundant in modern communication systems. Most research has concentrated on frequencies exceeding 10 GHz, as attenuation at lower frequencies is minimal, posing measurement challenges.

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!