scholarly journals To clean or not to clean: Cleaning open‐source data improves extinction risk assessments for threatened plant species

2020 ◽  
Vol 2 (12) ◽  
Author(s):  
Connor T. Panter ◽  
Rosemary L. Clegg ◽  
Justin Moat ◽  
Steven P. Bachman ◽  
Bente B. Klitgård ◽  
...  
2019 ◽  
Vol 67 (7) ◽  
pp. 501 ◽  
Author(s):  
Heidi C. Zimmer ◽  
Tony D. Auld ◽  
Peter Cuneo ◽  
Catherine A. Offord ◽  
Lucy E. Commander

Translocation is the establishment and augmentation of plant populations using ex situ material, and can reduce extinction risk. Historically, translocation has been considered to be high cost and high risk, but today, translocation is increasingly recognised as a necessary option for managing many threatened plant species. To examine the viability of translocation as a management action, we analysed the frequency of it being a recommended management action, its estimated cost over time, and its perceived likelihood of success as compared with other management actions. We did this using the 368 threatened plant species in the New South Wales state register of threatened species management strategies (the Saving our Species (SOS) database). Translocation was recommended as a management action for 30% of threatened plants (112 species), mostly in response to demographic threats (i.e. threats affecting species with small population sizes/restricted distributions, for example, environmental and demographic stochasticity or low genetic diversity). The estimated cost of translocation per species was similar to other common management actions. However, expert elicitation data (in the SoS database) indicated that translocation was less certain of a beneficial outcome, compared with almost all other management actions. Based on these findings, we create a decision framework, which uses the principles of extinction risk assessment to assist conservation managers in determining when translocation is most likely to be beneficial. We suggest that the use of translocation to mitigate the risk of extinction associated with small population sizes/restricted ranges is supported by the principles of extinction risk assessment. With a growing knowledge base, and costs comparable to other management actions, translocation is becoming an increasingly viable option for the conservation management of threatened plants, provided best practice guidelines are followed.


2020 ◽  
Vol 21 (5) ◽  
Author(s):  
Luambo Jeffrey Ramarumo ◽  
ALFRED MAROYI

Abstract. Ramarumo LJ, Maroyi A. 2020. An inventory of useful threatened plant species in Vhembe Biosphere Reserve, Limpopo Province, South Africa. Biodiversitas 21: 2146-2158. Scientists and conservation managers are seeking to understand and monitor plant species that are likely to be on the verge of extinction risk. Monitoring of threatened plants’ extinction risk can be better achieved through insights about indigenous knowledge dynamics associated with those species. This study aimed to document detailed information about useful threatened plant species in the Vhembe Biosphere Reserve, Limpopo Province, South Africa. Data was collected through interviews with 203 participants and literally counting of individuals as per the IUCN’s Red List Criteria. A total of 13 useful and native threatened plants belonging to 12 families were recorded. The majority of the threatened plant species were being used for medicinal purposes only (46.0%) followed by the mixture of medicinal and ornamentals (23.0%). The frequently cited useful threatened species with UV > 0.024, RFC > 0.059 and FL > 5.911%, includes Asparagus sekukuniensis, Bowiea volubilis, Brackenridgea zanguebarica, Ocotea bullata, Rhynchosia vendae, Siphonochilus aethiopicus and Warburgia salutaris. About 47.0% of the recorded useful threatened plants were distributed in remote areas of the Thathe Vonḓo and its surroundings. Threatened plants with the population size < 100 adult individuals constitute an overall of 61.54% of all the recorded species. The current study provides substantial information about useful threatened plant species in the studied region. Detailed information about threatened plant species remains fundamental for making informed decisions that are important for managing species of conservation concern.


2002 ◽  
Vol 50 (1) ◽  
pp. 1 ◽  
Author(s):  
Mark A. Burgman

Despite the fact that the most changes in lists of threatened species reflect changes in knowledge rather than changes in conservation status, the lists continue to provide social and legal mandates for conservation; they are used to report on the state of the environment and to guide the allocation of scarce resources. There is a substantial under-representation of non-vascular species in threatened plant lists, reflected in an absence of documented extinctions among fungi and algae. Turnover in the composition of extinct flora lists in Australia suggests that the lists of threatened species may not be sufficiently reliable to form the basis for reporting on the state of the environment. They are of limited use in distinguishing between levels of threat and may not be a reliable guide for the allocation of scarce conservation resources among plant species. Systems for listing threatened species create a feedback loop, responsive to the subjective preferences of scientists, largely unresponsive to underlying true threats, self-perpetuating and accentuating bias with each iteration. Other tools, including formal decision approaches and the acquisition of new kinds of data, are needed to fill the roles.


2018 ◽  
Vol 80 (6) ◽  
pp. 457-461
Author(s):  
Carlos A. Morales-Ramirez ◽  
Pearlyn Y. Pang

Open-source data are information provided free online. It is gaining popularity in science research, especially for modeling species distribution. MaxEnt is an open-source software that models using presence-only data and environmental variables. These variables can also be found online and are generally free. Using all of these open-source data and tools makes species distribution modeling (SDM) more accessible. With the rapid changes our planet is undergoing, SDM helps understand future habitat suitability for species. Due to increasing interest in biogeographic research, SDM has increased for marine species, which were previously not commonly found in this modeling. Here we provide examples of where to obtain the data and how the modeling can be performed and taught.


2018 ◽  
Vol 231 ◽  
pp. 1100-1108 ◽  
Author(s):  
Alaa Alhamwi ◽  
Wided Medjroubi ◽  
Thomas Vogt ◽  
Carsten Agert

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