Filling knowledge gaps: A methodological approach for the rapid investigation of species with restricted populations

• Endemic species with restricted populations often lack data for urgent conservation actions. • Method, resource, and time limitations hinder data acquisition. • NDVI, distance sampling, and landscape ecology revealed Butia pubispatha distribution. • Our method succeeded, leading to the discovery of a new Butia pubispatha population. Gaps in geographic, genetic, and ecological data persist for many plant species, particularly those with restricted populations that are often rare and endangered. This lack of data hampers conservation efforts, especially in regions facing rapid habitat degradation and limited research investment. Additionally, technological, methodological, financial, and governmental challenges further hinder data collection. To address this issue, we developed the Multi-Scale Habitat and Population Rapid Assessment (MHPR) methodology, integrating widely tested, low-cost, and rapid-application technologies to assess distribution, demography, and population decline risks in species with restricted populations. We applied this approach to Butia pubispatha , a critically endangered dwarf palm endemic to the southern Brazilian grasslands, known from a single recorded population. In the first phase, we used Landsat satellite imagery and the Normalized Difference Vegetation Index (NDVI) to analyze habitat degradation between 2013 and 2021. Using landscape ecology principles, we identified the focal habitat patch with the highest potential to support the species. In the second phase, we conducted systematic transects and distance sampling within this area, mapping the population and identifying less degraded sectors. The highest-density sector was censused. In the third phase, we analyzed spatial patterns using Morisita’s Index and Ripley’s K function. Our method proved highly effective and replicable. NDVI successfully detected habitat changes over time, revealing an 86.7% reduction in the focal habitat patch from 2013 to 2021, underscoring the species’ critical threat due to habitat degradation. We recorded 1,615 individuals, with an estimated density of 81.2 in/ha and a dispersal range of 145 m. A second population was identified in this study. Our findings provide key insights for phenological studies, seedling production, genetic research, and public policies aimed at establishing protected areas and translocating individuals for the conservation of Butia pubispatha .

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Publication Details

Journal
Perspectives in Ecology and Conservation
Published
2025-04-01
DOI
https://doi.org/10.1016/j.pecon.2025.04.003
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
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article

Filling knowledge gaps: A methodological approach for the rapid investigation of species with restricted populations

Marília Borgo, Alessandro Camargo Ângelo, Santiago José Elías Velazco, Christopher Thomas Blum et al.
Perspectives in Ecology and Conservation
Species Distribution and Climate Change
article

Filling knowledge gaps: A methodological approach for the rapid investigation of species with restricted populations

Marília Borgo, Alessandro Camargo Ângelo, Santiago José Elías Velazco, Christopher Thomas Blum, Marcos Bergmann Carlucci, André Cesar Furlaneto Sampaio, P. Hoffmann, Ollyver Mauricio Rech Bizarro, Elivelton Marcos Gurski, Mayara Monteiro Ferreira
article en

Abstract

• Endemic species with restricted populations often lack data for urgent conservation actions. • Method, resource, and time limitations hinder data acquisition. • NDVI, distance sampling, and landscape ecology revealed Butia pubispatha distribution. • Our method succeeded, leading to the discovery of a new Butia pubispatha population. Gaps in geographic, genetic, and ecological data persist for many plant species, particularly those with restricted populations that are often rare and endangered. This lack of data hampers conservation efforts, especially in regions facing rapid habitat degradation and limited research investment. Additionally, technological, methodological, financial, and governmental challenges further hinder data collection. To address this issue, we developed the Multi-Scale Habitat and Population Rapid Assessment (MHPR) methodology, integrating widely tested, low-cost, and rapid-application technologies to assess distribution, demography, and population decline risks in species with restricted populations. We applied this approach to Butia pubispatha , a critically endangered dwarf palm endemic to the southern Brazilian grasslands, known from a single recorded population. In the first phase, we used Landsat satellite imagery and the Normalized Difference Vegetation Index (NDVI) to analyze habitat degradation between 2013 and 2021. Using landscape ecology principles, we identified the focal habitat patch with the highest potential to support the species. In the second phase, we conducted systematic transects and distance sampling within this area, mapping the population and identifying less degraded sectors. The highest-density sector was censused. In the third phase, we analyzed spatial patterns using Morisita’s Index and Ripley’s K function. Our method proved highly effective and replicable. NDVI successfully detected habitat changes over time, revealing an 86.7% reduction in the focal habitat patch from 2013 to 2021, underscoring the species’ critical threat due to habitat degradation. We recorded 1,615 individuals, with an estimated density of 81.2 in/ha and a dispersal range of 145 m. A second population was identified in this study. Our findings provide key insights for phenological studies, seedling production, genetic research, and public policies aimed at establishing protected areas and translocating individuals for the conservation of Butia pubispatha .

Perspectives in Ecology and ConservationVol. 23(2)
Universidade Federal da Integração Latino-Americana (BR), National University of Misiones (AR), San Diego State University (US), Instituto de Biología Subtropical (AR), Universidade Federal do Paraná (BR)
Openalex Percentile: Top 94%
Species Distribution and Climate Change
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