Species Distribution Models in plant conservation science: a comprehensive review with a focus on Iran DOI Creative Commons
Hooman Babanezhad,

Naqinezhad Alireza

Natural History Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

This review article thoroughly examines the role of Species Distribution Models (SDMs) in plant conservation science, with a specific focus on applications within Iran. Commencing an extensive methodological approach, involving exhaustive search across reputable academic databases such as Scopus, Web Science, and Google Scholar, synthesizes comprehensive set studies. It offers deep insights into SDM principles, challenges, transformative applications. Addressing these explores contemporary data collection methods, including use remote sensing, drones, citizen which enhance precision scope SDMs. A detailed examination various modelling algorithms approaches, MaxEnt, Random Forest, Bayesian models, others, highlights their contributions to conservation. The also integrates climate change scenarios SDMs, showcasing case studies that illustrate SDMs' potential predict shifts distributions response changing conditions overexploitation. Emphasizing importance spatial scale, discusses its critical impact accuracy planning. concludes by underlining indispensable SDMs advancing efforts, offering tailored recommendations for researchers, policymakers, practitioners.

Language: Английский

The importance of integrating herbarium records into conservation plans: a case study on Honduran ferns and lycophytes DOI Creative Commons
Sven P. Batke, Thom Dallimore, Johan Reyes‐Chávez

et al.

Plants People Planet, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Societal Impact statement Herbarium collections are powerful, yet underutilized, tools for global biodiversity conservation and protected area management. By integrating digitized herbarium records with existing data, previously unknown plant species were uncovered, exposing critical gaps in knowledge. These insights underscore the urgent need to harness data refine strategies, equip decision‐makers more precise information, drive evidence‐based policy. Maximizing potential of these vast botanical archives can transform efforts, safeguarding ecosystems essential both planetary health human well‐being. Summary The world's herbaria represent an invaluable reservoir increasingly accessible through digitization specimens. This wealth serves as a tool informing shaping national strategies areas. assessments into local management plans, efficient effective approach is achieved. In species‐rich countries like Honduras, knowledge often represented by specimens housed institutions worldwide; however, this valuable information frequently remains excluded from plans lists. A case study focusing on Honduran ferns lycophytes reveals several significant discrepancies: only 66 unique reported compared 216 identified solely same Approximately 30% recorded lack valid vouchers deposited herbaria. Notably, incorporation highlights considerable inconsistencies how within Honduras's areas, Nonmetric Multidimensional Scaling (NMDS) analysis indicating difference community composition between plan records. To address gaps, we propose best practice protocol lists at level, along targeted determination verification

Language: Английский

Citations

0

Nomenclatural updating of the Manitoba Museum Herbarium DOI

Diana Bizecki Robson,

Jackie Krindle

Botany, Journal Year: 2025, Volume and Issue: 103, P. 1 - 11

Published: Jan. 1, 2025

Data from herbaria are used to assess the extinction risk of plants, and subsequently, create conservation plans. However, some research suggests that identification errors, including misidentification use outdated nomenclature, in widespread. At Manitoba Museum, nomenclatural updating vascular plant specimens occurred 1999 2001. due staff time limitations, close examination did not occur. As a result, misidentified were detected. In 2010s, we began second project, but this one both verified identities, updated names, our collection. Of 17 338 spore-producing conifers, monocots, dicots examined so far, nearly third either misidentified, or labelled with an out-of-date name. We describe process resulted correction taxonomic errors through five case studies. noted seven factors influenced accuracy (1) lack time, (2) good resources, (3) expertise/familiarity, (4) poor specimen quality, (5) temporary inaccessibility collection, (6) superficial similarity species, (7) technology. Changes now being implemented at Museum help reduce future.

Language: Английский

Citations

0

From Dormant Collections to Repositories for the Study of Habitat Changes: The Importance of Herbaria in Modern Life Sciences DOI Creative Commons
Mauro Mandrioli

Life, Journal Year: 2023, Volume and Issue: 13(12), P. 2310 - 2310

Published: Dec. 8, 2023

In recent decades, the advent of new technologies for massive and automatized digitization, together with availability methods DNA sequencing, strongly increased interest relevance herbarium collections study plant biodiversity evolution. These approaches prompted projects aimed at creation a large dataset molecular phenological data. This review discusses challenges opportunities herbaria in context numerous national that are currently ongoing, prompting specimens understanding loss habitat shifts as consequence climate changes destruction due to human activities. With regard this, National Biodiversity Future Center (active Italy since 2022) started large-scale digitization project Herbarium Centrale Italicum Florence (Italy), which is most important Italian botanical collection, consisting more than 4 million samples present.

Language: Английский

Citations

5

Species Distribution Models in plant conservation science: a comprehensive review with a focus on Iran DOI Creative Commons
Hooman Babanezhad,

Naqinezhad Alireza

Natural History Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 6, 2024

This review article thoroughly examines the role of Species Distribution Models (SDMs) in plant conservation science, with a specific focus on applications within Iran. Commencing an extensive methodological approach, involving exhaustive search across reputable academic databases such as Scopus, Web Science, and Google Scholar, synthesizes comprehensive set studies. It offers deep insights into SDM principles, challenges, transformative applications. Addressing these explores contemporary data collection methods, including use remote sensing, drones, citizen which enhance precision scope SDMs. A detailed examination various modelling algorithms approaches, MaxEnt, Random Forest, Bayesian models, others, highlights their contributions to conservation. The also integrates climate change scenarios SDMs, showcasing case studies that illustrate SDMs' potential predict shifts distributions response changing conditions overexploitation. Emphasizing importance spatial scale, discusses its critical impact accuracy planning. concludes by underlining indispensable SDMs advancing efforts, offering tailored recommendations for researchers, policymakers, practitioners.

Language: Английский

Citations

0