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Understanding the Movement Ecology of Wildlife on the Changing Planet
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Understanding the Movement Ecology of Wildlife on the Changing Planet

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 6090

Special Issue Editors

Dr. Kunpeng Yi

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Guest Editor
Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
Interests: bird migration; movement ecology; animal tracking; wildlife conservation; earth observation
Special Issues, Collections and Topics in MDPI journals
Dr. Hengcai Zhang

E-Mail Website
Guest Editor
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: spatial-temporal data mining; urban computing; 3D ST-computing; GeoAI
Special Issues, Collections and Topics in MDPI journals
Dr. Eli S. Bridge

E-Mail Website
Guest Editor
Oklahoma Biological Survey, University of Oklahoma, Norman, OK, USA
Interests: birds; object tracking; edge detection

Special Issue Information

Dear Colleagues,

Humans share the earth with over 6.5 million terrestrial animal species and about 2.2 million aquatic species. These animals engage in continuous movement day and night, following ancient behavioral programs while adapting to the ever-changing conditions of our planet. In 2008, Ran Nathan introduced the Movement Ecology paradigm amidst an ongoing period of innovation in animal tracking technology. We are currently in a period of rapid discovery that is due, in large part, to novel and widespread use of remote sensing technologies that allow for new insights into animal movements. Among these technologies are biologging tags that can be attached to animals to generate location data and other information; automated audio recording units that can be used to identify and quantify species; radars that can detect airborne animals and provide details about their physical properties and behaviors; and advances in machine vision that can automate monitoring animals with video cameras. Data from these technologies are often interpreted in combination with contextual information about the environment (often including other remote-sensing products) to yield new knowledge across spatial and temporal scales about the status of biological diversity, ecosystem services, and mounting pressures on natural populations.

This Special Issue calls for contributions that use remote sensing tools and/or datasets to monitor and comprehend the movement of wildlife, biologging biodiversity, ecological research, and conservation science. The Special Issue will also promote the use of remote sensing to advance the theory of Movement Ecology, as well as relevant methodologies, and equipment. We invite researchers from across the world and across scientific disciplines to share their research articles, reviews, and case studies that address challenges related to biological diversity and ecosystem services through the use of remote sensing technology. In so doing, we aim to bridge the gap between movement ecology and conservation practices while raising awareness of the achievements and challenges inherent in remote sensing within the biological sciences.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • Spatial patterns and mechanisms of animal migration;
  • Advancements and applications of movement ecology theories and methodologies;
  • Utilizing remote sensing technologies in the study of animal movement;
  • Responses of wildlife and human movement behavior to environmental changes;
  • Investigating species migration and habitat selection using location tracking technologies;
  • Contributions of movement ecology to biodiversity conservation and ecosystem services;
  • Multi-scale movement pattern analysis and spatial data mining;
  • Animal migration modeling and predictions based on big data;
  • Applications of social network analysis in movement ecology;
  • Mapping and visualization of movement patterns;
  • Location tracking technology;
  • Trajectory data mining techniques for extracting valuable insights from movement data;
  • Incorporating Internet of Things (IoT) technologies in movement ecology studies;
  • Potential contributions of citizen scientists to remote-sensing datasets.

Research articles and review articles, as well as short communications, are invited.

Dr. Kunpeng Yi
Dr. Hengcai Zhang
Dr. Eli S. Bridge
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 submissions that pass pre-check are 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. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). 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.

Keywords

  • biodiversity
  • migration
  • animal tracking
  • bio-logging
  • habitat monitoring
  • conservation
  • satellite sensors
  • drones
  • camera trapping
  • big data
  • Internet of Things
  • artificial intelligence
  • One Health

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

24 pages, 20759 KiB  
Article
Snowmelt Onset and Caribou (Rangifer tarandus) Spring Migration
by Mariah T. Matias, Joan M. Ramage, Eliezer Gurarie and Mary J. Brodzik
Remote Sens. 2024, 16(13), 2391; https://doi.org/10.3390/rs16132391 - 29 Jun 2024
Viewed by 1419
Abstract
Caribou (Rangifer tarandus) undergo exceptionally large, annual synchronized migrations of thousands of kilometers, triggered by their shared environmental stimuli. The proximate triggers of those migrations remain mysterious, though snow characteristics play an important role due to their influence on the mechanics [...] Read more.
Caribou (Rangifer tarandus) undergo exceptionally large, annual synchronized migrations of thousands of kilometers, triggered by their shared environmental stimuli. The proximate triggers of those migrations remain mysterious, though snow characteristics play an important role due to their influence on the mechanics of locomotion. We investigate whether the snow melt–refreeze status relates to caribou movement, using previously collected Global Positioning System (GPS) caribou collar data. We analyzed 117 individual female caribou with >30,000 observations between 2007 and 2016 from the Bathurst herd in Northern Canada. We used a hierarchical model to estimate the beginning, duration, and end of spring migration and compared these statistics against snow pack melt characteristics derived from 37 GHz vertically polarized (37V GHz) Calibrated Enhanced-Resolution Brightness Temperatures (CETB) at 3.125 km resolution. The timing of migration for Bathurst caribou generally tracked the snowmelt onset. The start of migration was closely linked to the main melt onset in the wintering areas, occurring on average 2.6 days later (range −1.9 to 8.4, se 0.28, n = 10). The weighted linear regression was also highly significant (p-value = 0.002, R2=0.717). The relationship between migration arrival times and the main melt onset on the calving grounds (R2 = 0.688, p-value = 0.003), however, had a considerably more variable lag (mean 13.3 d, se 0.67, range 3.1–20.4). No migrations ended before the main melt onset at the calving grounds. Thawing conditions may provide a trigger for migration or favorable conditions that increase animal mobility, and suggest that the snow properties are more important than snow presence. Further work is needed to understand how widespread this is and why there is such a relationship. Full article
(This article belongs to the Special Issue Understanding the Movement Ecology of Wildlife on the Changing Planet)
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20 pages, 10042 KiB  
Article
Evaluation of Suitable Habitats for Birds Based on MaxEnt and Google Earth Engine—A Case Study of Baer’s Pochard (Aythya baeri) in Baiyangdian, China
by Zengrui Tian, Da Huo, Kunpeng Yi, Jialiang Que, Zhenguang Lu and Jianhua Hou
Remote Sens. 2024, 16(1), 64; https://doi.org/10.3390/rs16010064 - 23 Dec 2023
Cited by 3 | Viewed by 1970
Abstract
The combined impacts of rapid urbanization and climate change pose significant threats to global biodiversity. To counter these threats, the establishment of appropriate habitats is becoming pivotal for species preservation. Due to positive ecological interventions, Baer’s Pochard (Aythya baeri), a critically [...] Read more.
The combined impacts of rapid urbanization and climate change pose significant threats to global biodiversity. To counter these threats, the establishment of appropriate habitats is becoming pivotal for species preservation. Due to positive ecological interventions, Baer’s Pochard (Aythya baeri), a critically endangered avian species per the International Union for Conservation of Nature (IUCN) classification, has made a remarkable resurgence in the wetlands of Baiyangdian (BYD). BYD, located in Xiong’an New Area, central North China, is the largest wetland and an ideal habitat for rare bird species. Our study focuses on identifying ideal habitats within BYD to further its conservation. To this end, unmanned aerial vehicles (UAV) integrated with GPS functionalities were utilized to collect occurrence data for the species. Furthermore, the Google Earth Engine (GEE) provided access to high-resolution, real-time satellite imagery. Our model exhibited substantial reliability, reflected by area under the curve (AUC) values of 0.917 and 0.934 for breeding and migration periods, respectively. During the breeding phase, the prime habitat for Baer’s Pochard spans 162 km2, predominantly encompassing regions like Xiaobaiyangdian (XBYD), Zhaozadian (ZZD), Damaidian (DMD), and Shaochedian (SCD). Factors such as Distance to towns and Landcover predominantly influence breeding habitat selection. In the migration phase, ideal regions covered an expanse of 124 km2, highlighting areas like northern and eastern SCD, the northwestern side of Datian Village (DTV) and Beitian Village (BTV) Fuhe Wetland (FHW), and Xiaoyihe Wetland (XYHW). The predominant determinants for migration habitat are Distance to towns and Wetness. These insights offer a fundamental foundation for the conservation and management strategies of Baer’s Pochard in BYD, presenting a roadmap for future conservation endeavors. Full article
(This article belongs to the Special Issue Understanding the Movement Ecology of Wildlife on the Changing Planet)
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19 pages, 16396 KiB  
Article
Optimizing Water Level Management Strategies to Strengthen Reservoir Support for Bird’s Migration Network
by Kunpeng Yi, Fanjuan Meng, Dehai Gu and Qingyuan Miao
Remote Sens. 2023, 15(23), 5508; https://doi.org/10.3390/rs15235508 - 26 Nov 2023
Viewed by 1521
Abstract
Migratory waterbirds depend on a complex network of wetlands globally for their life cycles. However, habitat loss and degradation pose risks to these networks’ sustainability, potentially impacting wetland habitat availability. This study investigates the impact of water level changes in Beijing’s Miyun Reservoir [...] Read more.
Migratory waterbirds depend on a complex network of wetlands globally for their life cycles. However, habitat loss and degradation pose risks to these networks’ sustainability, potentially impacting wetland habitat availability. This study investigates the impact of water level changes in Beijing’s Miyun Reservoir on white-naped cranes’ (Antigone vipio) habitat use. We utilized satellite imagery from 2000–2021 and monthly data from 2018–2023 to observe changes in the reservoir’s water and land areas. Additionally, the study tracked 32 cranes using GSM-GPS loggers, yielding insights into their movement patterns and habitat preferences. Our findings emphasize the significant influence of reservoir water levels on habitat availability for these cranes. Notably, our results indicate that the decrease in suitable migratory bird habitats in the reservoir is primarily attributed to high-water level management strategies. This study highlights the necessity for balanced management of aquatic and terrestrial areas in reservoir ecosystems to preserve migratory waterbird habitats. Full article
(This article belongs to the Special Issue Understanding the Movement Ecology of Wildlife on the Changing Planet)
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