Understanding and predicting animal movements and distributions in the Anthropocene DOI Creative Commons
Sara Gómez, Holly M. English, Vanesa Bejarano Alegre

и другие.

Journal of Animal Ecology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 4, 2025

Predicting animal movements and spatial distributions is crucial for our comprehension of ecological processes provides key evidence conserving managing populations, species ecosystems. Notwithstanding considerable progress in movement ecology recent decades, developing robust predictions rapidly changing environments remains challenging. To accurately predict the effects anthropogenic change, it important to first identify defining features human-modified their consequences on drivers movement. We review discuss these within framework, describing relationships between external environment, internal state, navigation motion capacity. Developing under novel situations requires models moving beyond purely correlative approaches a dynamical systems perspective. This increased mechanistic modelling, using functional parameters derived from principles decision-making. Theory empirical observations should be better integrated by experimental approaches. Models fitted new historic data gathered across wide range contrasting environmental conditions. need therefore targeted supervised approach collection, increasing studied taxa carefully considering issues scale bias, modelling. Thus, we caution against indiscriminate non-supervised use citizen science data, AI machine learning models. highlight challenges opportunities incorporating into management actions policy. Rewilding translocation schemes offer exciting collect environments, enabling tests model varied contexts scales. Adaptive frameworks particular, based stepwise iterative process, including refinements, provide mutual benefit conservation. In conclusion, verge transforming descriptive predictive science. timely progression, given that conditions are now more urgently needed than ever evidence-based policy decisions. Our aim not describe existing as well possible, but rather understand underlying mechanisms develop with reliable ability situations.

Язык: Английский

Social media reveals unseen interactions with wildlife during Russia's full‐scale invasion of Ukraine DOI Creative Commons
Adam F. Smith,

Hanna Kuzo

Conservation Science and Practice, Год журнала: 2024, Номер 6(8)

Опубликована: Июль 25, 2024

No war has seen such cyber-complexity as what followed the full-scale Russian invasion of Ukraine in February 2022 and consequential torrent related photographic video content shared. Some this inevitably features animals wild nature previously unseen, unique wartime situations. This creates a opportunity to understand how affects wildlife. Armed conflicts are still unfortunate but significant hallmarks human civilization 21st century. Modern warfare is intrinsically linked technological advancement, smartphones era puts immediate frontline footage hands millions (Hauter, 2023; Su et al., 2023). (Brown, 2022), As social media continues be inundated with happenings ongoing invasion, becomes primary source documenting historical events. situations, which suddenly widely accessible for first time history (Węgrzyn data collection wildlife (i.e., ecology, Hanson, 2018; Machlis & 2008), furthering evidence base that already been established from other sources (Polianska, Russell 2024). Collecting environmental during dangerous endeavor researchers (Lawrence 2015; Shevchuk 2022). Avoiding unnecessary risk research requires finding imaginative solutions generation, proven ecology conservation (Toivonen 2019). Citizen community science now routine initiatives, proactive public participation (Hsing However, passive collections also occur, involve assembling information photographs or videos, providing otherwise difficult collect, about elusive (Wright These records can inform understandings species (e.g., distributions) interactions humans human–wildlife conflict mitigation). In way, even used generation modern From serendipitous browsing (January–December 2023) on "X" platform (formerly Twitter), we collected wild, terrestrial mammals directly impacted by Ukraine. Impacts encompass being killed, injured, rescued due military activities, simply observations where interacted personnel equipment. While was unstructured, potential widely-shared gave us confidence captured high proportion it through daily browsing, believe important promote scientific more comprehensive analyses future. We categorized taxonomic group, type interaction, animal's status show some uses these data. short letter, authors provide remarks rare interesting behaviors observations, well biases collection. Finally, collated into an open-science database scholarship future research. ensured sufficient ethical considerations were met negate harm The public, clearly aimed broad readership, censored identifying (places, faces, etc.) protect individuals operational security. note may distressing (violence; death; blood; animal cruelty death). observed surprising richness mammal (n = 13) multiple families 5) interacting elements (Figure 1, Table S1). Two stood out: gray-dwarf hamster (Nothocricetulus migratorius) marbled polecat (Vormela peregusna), both Red Data Book Ukraine, noting them priority. Indeed, listed IUCN List Threatened Species "vulnerable" (Abramov 2015). A substantial part Ukrainian distribution currently under occupation. fortified positions like trench lines, dugouts, bunkers logical interaction points between soldiers. Occasionally, acted pitfall traps animals, while others they acquire resources. Historical report rodents amass entrenched living quarters World War I, Moore, 2017), because host warmth food. further exaggerated year unharvested crops areas, allowing booming rodent numbers, our most frequently group. saw often, unsurprisingly, killed soldiers if their numbers problematic, caused disruption getting food supplies sleeping quarters. did not expect observe abject toward gathered four reportedly attached weapons. First, anti-personnel mine, seemingly European hedgehog (Erinaceus europaeus). second third separate occasions mice (Mus spp.) fastened first-person-view (FPV) drones carrying explosives, times frame drone's FPV camera. fourth dead mouse, tail drone-dropped explosive. Rescues feeding interactions. foxes (Vulpes vulpes) taking from, by, Civilians involved rescues, rescue (by French correspondent civilian, Arman Soldin, later rocket attack). standout period Russia's destruction Kakhovka Dam June 2023. ensuing floodwaters untold damage, including protected areas landscapes (Moreland Darbyshire, Richardson, Timmins 2023), thousands (Richardson, Social vast space limitless content, just its usefulness revealing unseen true scale forever unknown, metadata location, date) seldom available context. only single platform, reposted there Telegram TikTok. Because X restricted Russia, algorithm sentiment Ukraine-biased, point-of-view second-hand. line principles investigating, highlighting, mitigating impacts environment (Machlis 2008; estimated over 500 billion dollars damage inflicted (Ministry Environmental Protection Natural Resources tantamount ecocide Our work highlights possibilities using media, displays brief snapshot war's effects Consequences Work Group, restoration war-torn (Timmins Adam F. Smith: Conceptualization (equal), curation (lead), writing—original draft writing—review editing (lead). Hanna Kuzo: (equal). highly acknowledge users journalists who share content. grateful colleagues volunteers, especially help support. declare no interest. archive article at: https://osf.io/8xck5. S1. Observations made (on "X") Please note: publisher responsible functionality any supporting supplied authors. Any queries (other than missing content) should directed corresponding author article.

Язык: Английский

Процитировано

3
War, relationality and social-ecological systems: an analysis of human-bird interactions DOI Creative Commons
Janine Natalya Clark

Environmental Sociology, Год журнала: 2025, Номер unknown, С. 1 - 14

Опубликована: Янв. 6, 2025

The study of war is changing. Anthropocentric approaches are increasingly being challenged, and there now many studies exploring the environmental impacts war. Although extremely important, such research can potentially reinforce human/nature binaries, by epistemologically compartmentalising separating harms done to environment from 'us.' What needed more integrated analyses examining multiple ways that affects connectivities relationalities between human more-than-human worlds. It striking, moreover, remain largely absent sociology, which has given little attention This interdisciplinary article aims address these gaps, thereby making a novel contribution scholarship foregrounding multi-layered relational dynamics through specific focus on human-bird relations – asking what does them. also make an original social-ecological systems (SES). By discussing how neglected phenomenon within SES both disrupts strengthens relations, including acoustically, framing as one layers connectivity constitute SES, offers different way relationality systems.

Язык: Английский

Процитировано

0
Annual Movement Pattern of a Single Individual Steppe Buzzard Buteo buteo vulpinus Based on GPS Tracking DOI
Ivan Literák,

Maxym Vysochyn,

Šimon Krejčí

и другие.

Acta Ornithologica, Год журнала: 2025, Номер 59(1)

Опубликована: Фев. 28, 2025

Язык: Английский

Процитировано

0
Understanding and predicting animal movements and distributions in the Anthropocene DOI Creative Commons
Sara Gómez, Holly M. English, Vanesa Bejarano Alegre

и другие.

Journal of Animal Ecology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 4, 2025

Predicting animal movements and spatial distributions is crucial for our comprehension of ecological processes provides key evidence conserving managing populations, species ecosystems. Notwithstanding considerable progress in movement ecology recent decades, developing robust predictions rapidly changing environments remains challenging. To accurately predict the effects anthropogenic change, it important to first identify defining features human-modified their consequences on drivers movement. We review discuss these within framework, describing relationships between external environment, internal state, navigation motion capacity. Developing under novel situations requires models moving beyond purely correlative approaches a dynamical systems perspective. This increased mechanistic modelling, using functional parameters derived from principles decision-making. Theory empirical observations should be better integrated by experimental approaches. Models fitted new historic data gathered across wide range contrasting environmental conditions. need therefore targeted supervised approach collection, increasing studied taxa carefully considering issues scale bias, modelling. Thus, we caution against indiscriminate non-supervised use citizen science data, AI machine learning models. highlight challenges opportunities incorporating into management actions policy. Rewilding translocation schemes offer exciting collect environments, enabling tests model varied contexts scales. Adaptive frameworks particular, based stepwise iterative process, including refinements, provide mutual benefit conservation. In conclusion, verge transforming descriptive predictive science. timely progression, given that conditions are now more urgently needed than ever evidence-based policy decisions. Our aim not describe existing as well possible, but rather understand underlying mechanisms develop with reliable ability situations.

Язык: Английский

Процитировано

0