Special Issue "Drones for Biodiversity Conservation and Ecological Monitoring"

A special issue of Drones (ISSN 2504-446X).

Deadline for manuscript submissions: closed (31 October 2018)

Special Issue Editors

Guest Editor
Dr. Ricardo Díaz-Delgado

Remote Sensing and GIS lab (LAST-EBD), Estación Biológica de Doñana, CSIC, Avda. Américo Vespucio s/n, 41092 - Seville, Spain
Website | E-Mail
Interests: Multi and hyperspectral remote sensing for monitoring vegetation; wetlands and landscape changes; Multitemporal analysis of remote sensing images; Predictive mapping of species habitat distribution; Landscape dynamics and interactions with disturbances; carbon and water fluxes with remote sensing imagery
Guest Editor
Dr. C.A. Mücher

Wageningen Environmental Research (Alterra) Wageningen Campus, Building 101, Droevendaalsesteeg 3 P.O Box 47, 6700 AA Wageningen, The Netherlands
Website | E-Mail
Phone: +31 (0) 317 481607
Interests: Biodiversity, Geographical information systems, Landscape ecology, Remote sensing, Monitoring, Land use, Geoinformation, Habitats

Special Issue Information

Dear Colleagues,

Unmanned Aerial Vehicles (UAV) have already become an affordable and cost-efficient tool to quickly map a targeted area for many emerging applications in the arena of Ecological Monitoring and Biodiversity Conservation. Managers, owners, companies and scientists are using professional drones equipped with high-resolution visible, multispectral or thermal cameras to assess the state of ecosystems, the effect of disturbances, or the dynamics and changes of biological communities inter alia. We are now at a tipping point on the use of drones for these type of applications over natural areas. UAV missions are increasing but most of them testing applicability. It is time now to move to frequent revisiting missions, aiding in the retrieval of important biophysical parameters in ecosystems or mapping species distributions.

This Special Issue aims at collecting UAV applications contributing to a better understanding of biodiversity and ecosystem status, threats, changes and trends. We welcome submissions from purely scientific missions to operational management missions, evidencing the enhancement of knowledge in:

  • Essential Biodiversity Variables and Ecosystem Services mapping
  • Ecological Integrity parameters mapping
  • Long-term ecological monitoring based on UAVs
  • Mapping of alien species spread and distribution
  • Upscaling ecological variables from drone to satellite images: methods and approaches
  • Rapid risk and disturbance assessment using drones
  • Ecosystem structure and processes assessment by using UAVs
  • Mapping threats, vulnerability and conservation issues of biological communities and species
  • Mapping of phenological and temporal trends
  • Habitat mapping, monitoring and reporting of conservation status

Dr. Ricardo Díaz-Delgado
Dr. C.A. Mücher

Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Drones is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Open AccessArticle Assessment of Chimpanzee Nest Detectability in Drone-Acquired Images
Received: 6 March 2018 / Revised: 12 April 2018 / Accepted: 18 April 2018 / Published: 23 April 2018
Cited by 2 | PDF Full-text (5945 KB) | HTML Full-text | XML Full-text | Supplementary Files
As with other species of great apes, chimpanzee numbers have declined over the past decades. Proper conservation of the remaining chimpanzees requires accurate and frequent data on their distribution and density. In Tanzania, 75% of the chimpanzees live at low densities on land
[...] Read more.
As with other species of great apes, chimpanzee numbers have declined over the past decades. Proper conservation of the remaining chimpanzees requires accurate and frequent data on their distribution and density. In Tanzania, 75% of the chimpanzees live at low densities on land outside national parks and little is known about their distribution, density, behavior or ecology. Given the sheer scale of chimpanzee distribution across western Tanzania (>20,000 km2), we need new methods that are time and cost efficient while providing precise and accurate data across broad spatial scales. Scientists have recently demonstrated the usefulness of drones for detecting wildlife, including apes. Whilst direct observation of chimpanzees is unlikely given their elusiveness, we investigated the potential of drones to detect chimpanzee nests in the Issa valley, western Tanzania. Between 2015 and 2016, we tested and compared the capabilities of two fixed-wing drones. We surveyed twenty-two plots (50 × 500 m) in gallery forests and miombo woodlands to compare nest observations from the ground with those from the air. We performed mixed-effects logistic regression models to evaluate the impact of image resolution, seasonality, vegetation type, nest height and color on nest detectability. An average of 10% of the nests spotted from the ground were detected from the air. From the factors tested, only image resolution significantly influenced nest detectability in drone-acquired images. We discuss the potential, but also the limitations, of this technology for determining chimpanzee distribution and density and to provide guidance for future investigations on the use of drones for ape population surveys. Combining traditional and novel technological methods of surveying allows more accurate collection of data on animal distribution and habitat connectivity that has important implications for ape conservation in an increasingly anthropogenically-disturbed landscape. Full article
(This article belongs to the Special Issue Drones for Biodiversity Conservation and Ecological Monitoring)

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