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Rivas-Torres, G.

Publications and source records attributed to Rivas-Torres, G..

3 recordsLinked to original sources

Iguanas from above: Citizen scientists provide reliable counts of endangered Galapagos marine iguanas from drone imagery

Population surveys are vital for wildlife management, yet traditional methods often demand excessive time and resources, leading to data gaps for many species. Modern technologies such as drones can facilitate field surveys but may also increase data analysis challenges. Citizen Science (CS) can address this issue by engaging non-specialists for data collection and analysis. We evaluated CS for population monitoring using the endangered Galapagos marine iguana as a case study, assessing online volunteers ability to detect and count animals in aerial images. Comparing against a Gold Standard dataset of expert counts in 4345 images, we explored optimal aggregation methods from CS inputs, considering image quality and filtering data from infrequent and anonymous participants. During three phases of our project -- hosted on the Zooniverse platform -- over 13,000 volunteers made 1,375,201 classifications from 57,838 aerial images; each being independently classified 20 (phases 1 & 2) or 30 (phase 3) times. Volunteers achieved 68% to 94% accuracy in detecting iguanas, with more false negatives than false positives. Image quality strongly influenced accuracy; by excluding data from suboptimal pilot-phase images, volunteers counted with 90% to 92% of accuracy. For detecting presence or absence of iguanas, the commonly used majority vote aggregation approach (where the answer selected is that given by the majority of individual inputs) produced less accurate results than when a minimum threshold of five (from the 20/30 independent classifications) was used. For counting iguanas, HDBSCAN clustering yielded the best results. Excluding inputs from anonymous and inexperienced volunteers decreased accuracy. We conclude that online volunteers can accurately identify and count marine iguanas from drone images, though a tendency to underestimate warrants further consideration. CS-based data analysis is faster than manual counting but still resource-intensive, underscoring the need to develop a Machine Learning approach.

zoology↗

Darwin's Overlooked Radiation: genomic evidence points to the early stages of a radiation in the Galapagos prickly pear cactus (Opuntia, Cactaceae)

The Galapagos Islands are a prime example of a natural laboratory for the study of evolutionary radiations. While much attention has been devoted to iconic species like Darwins finches 1-4, the islands offer an equally unique but often overlooked opportunity for plant radiations 5. Yet, compared to their animal counterparts, our understanding of the patterns and processes underpinning Galapagos plant radiations remains relatively limited 6,7. We present evidence of the early stages of a radiation in prickly-pear cactus (Opuntia, Cactaceae), a plant lineage widespread across the archipelago. Phylogenomic and population genomic analyses show that notwithstanding overall low genetic differentiation across populations, there is marked geographic structure that is broadly consistent with current taxonomy and the dynamic paleogeography of the Galapagos. Because such low genetic differentiation stands in stark contrast to the exceptional eco-phenotypic diversity displayed by cacti across islands, it is plausible that phenotypic plasticity precedes genetic divergence and is the source of adaptive evolution, or that introgression between populations facilitates local adaptation. Models of population relationships including admixture indicate that gene flow is common between certain islands, likely facilitated by dispersal via animals known to feed on Opuntia flowers, fruits, and seeds across the archipelago. Scans of genetic differentiation between populations reveal candidate loci associated with seed traits and environmental stressors, suggesting that a combination of biotic interactions and abiotic pressures due to the harsh conditions characterizing island life in a volcanic, equatorial archipelago may underlie the diversification of prickly-pear cacti. Considered in concert, these results are relevant to both the mechanisms of plant eco-phenotypic differentiation and the evolutionary history and conservation of the Galapagos biota.

evolutionary biology↗

The genomic basis of the plant island syndrome in Darwin's giant daisies

Oceanic archipelagos comprise multiple disparate environments over small geographic areas and are isolated from other biotas. These conditions have led to some of the most spectacular adaptive radiations, which have been key to our understanding of evolution, and offer a unique chance to characterise the genomic basis underlying rapid and pronounced phenotypic changes. Repeated patterns of evolutionary change in plants on oceanic archipelagos, i.e. the plant island syndrome, include changes in leaf morphology, acquisition of perennial life-style, and change of ploidy. Here, we describe the genome of the critically endangered and Galapagos endemic Scalesia atractyloides Arnot., obtaining a chromosome-resolved 3.2-Gbp assembly with 43,093 candidate gene models. Using a combination of fossil transposable elements, k-mer spectra analyses and orthologue assignment, we identify the two ancestral subgenomes and date their divergence and the polyploidization event, concluding that the ancestor of all Scalesia species on the Galapagos was an allotetraploid. There are a comparable number of genes and transposable elements across the two subgenomes, and while their synteny has been mostly conserved, we find multiple inversions that may have facilitated adaptation. We identify clear signatures of selection across genes associated with vascular development, life-growth, adaptation to salinity and changes in flowering time, thus finding compelling evidence for a genomic basis of island syndrome in Darwins giant daisy radiation. This work advances understanding of factors influencing subgenome divergence in polyploid genomes, and characterizes the quick and pronounced genomic changes in a specular and diverse radiation of an iconic island plant radiation.

evolutionary biology↗