98%
921
2 minutes
20
Seasonal tropical environments are among those regions that are the most affected by shifts in temperature and rainfall regimes under climate change, with potentially severe consequences for wildlife population persistence. This persistence is ultimately determined by complex demographic responses to multiple climatic drivers, yet these complexities have been little explored in tropical mammals. We use long-term, individual-based demographic data (1994 to 2020) from a short-lived primate in western Madagascar, the gray mouse lemur (), to investigate the demographic drivers of population persistence under observed shifts in seasonal temperature and rainfall. While rainfall during the wet season has been declining over the years, dry season temperatures have been increasing, with these trends projected to continue. These environmental changes resulted in lower survival and higher recruitment rates over time for gray mouse lemurs. Although the contrasting changes have prevented the study population from collapsing, the resulting increase in life-history speed has destabilized an otherwise stable population. Population projections under more recent rainfall and temperature levels predict an increase in population fluctuations and a corresponding increase in the extinction risk over the next five decades. Our analyses show that a relatively short-lived mammal with high reproductive output, representing a life history that is expected to closely track changes in its environment, can nonetheless be threatened by climate change.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083614 | PMC |
http://dx.doi.org/10.1073/pnas.2214244120 | DOI Listing |
Environ Sci Technol
September 2025
School of the Environment, The University of Queensland, Brisbane, Queensland 4072, Australia.
As the global urban heat island (UHI) effect intensifies, understanding how UHI intensity responds to its influencing factors changes is critical for designing effective mitigation strategies. We focused on global megacities, shifted the UHI intensity assessment from physical indicators to human-related parameters, and then evaluated how human-centered UHI intensity responded to influencing factor change. We verified a significant discrepancy between traditional UHI intensity and human-centered UHI intensity worldwide, an average absolute difference of 1.
View Article and Find Full Text PDFAnnu Rev Entomol
September 2025
5Department of Entomology, University of Georgia, Athens, Georgia, USA; email:
Wetlands and their aquatic arthropods are threatened by climate change (temperature, precipitation). In this review, we first synthesize the literature on environmental controls on wetland arthropods (hydroperiod, temperature, dissolved oxygen) and then assess how these controls operate across freshwater wetlands from different global biomes (tropical/subtropical, temperate, high latitude/altitude, and dry climates) and how changes in climates alter arthropod fauna with consequent modifications to wetland ecosystem functions (decomposition, food web dynamics). We also describe ways to develop bioassessment of climate change impacts on wetlands.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Biology, Stanford University, Stanford, CA 94305.
Climate change is expected to pose significant threats to public health, particularly vector-borne diseases. Despite dramatic recent increases in dengue that many anecdotally connect with climate change, the effect of anthropogenic climate change on dengue remains poorly quantified. To assess this link, we assembled local-level data on dengue across 21 countries in Asia and the Americas.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Indira Gandhi Conservation Monitoring Centre, World Wide Fund-India, New Delhi, 110003, India.
Understanding the intricate relationship between land use/land cover (LULC) transformations and land surface temperature (LST) is critical for sustainable urban planning. This study investigates the spatiotemporal dynamics of LULC and LST across Delhi, India, using thermal data from Landsat 7 (2001), Landsat 5 (2011) and Landsat 8 (2021) resampled to 30-m spatial resolution, during the peak summer month of May. The study aims to target three significant aspects: (i) to analyse and present LULC-LST dynamics across Delhi, (ii) to evaluate the implications of LST effects at the district level and (iii) to predict seasonal LST trends in 2041 for North Delhi district using the seasonal auto-regressive integrated moving average (SARIMA) time series model.
View Article and Find Full Text PDFStress Biol
September 2025
Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.
Understanding the genetic mechanism of cold adaptation in cashmere goats and dairy goats is very important to improve their production performance. The purpose of this study was to comprehensively analyze the genetic basis of goat adaptation to cold environments, clarify the impact of environmental factors on genome diversity, and lay the foundation for breeding goat breeds to adapt to climate change. A total of 240 dairy goats were subjected to genome resequencing, and the whole genome sequencing data of 57 individuals from 6 published breeds were incorporated.
View Article and Find Full Text PDF