The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates the individual identification of leopards via their roars DOI Creative Commons
Jonathan Growcott, Alex L. Lobora, Andrew Markham

и другие.

Remote Sensing in Ecology and Conservation, Год журнала: 2024, Номер unknown

Опубликована: Дек. 22, 2024

Abstract Conservation requires accurate information about species occupancy, populations and behaviour. However, gathering these data for elusive, solitary species, such as leopards ( Panthera pardus ), is often challenging. Utilizing novel technologies that augment collection by exploiting different species' traits could enable monitoring at larger spatiotemporal scales. Here, we conducted the first, large‐scale (~450 km 2 ) paired passive acoustic n = 50) camera trapping survey 50), large African carnivores, in Nyerere National Park, Tanzania. We tested whether be individually distinguished their vocalizations. identified individual from trap images then extracted roaring bouts concurrent audio. leopard roar summary features used 2‐state Gaussian Hidden–Markov Models (HMMs) to model temporal pattern of roars. Using features, vocal discrimination was achieved a maximum accuracy 46.6%. When using HMMs evaluate leopard's roar, identification more successful, with an overall 93.1% macro‐F1 score 0.78. Our study shows multiple modes technology, which record complementary data, can discover traits, as, Even though additional equipment, management analytical expertise are required, surveys still promising methodology exploit wider variety monitor inform conservation efficiently, than single technology studies alone.

Язык: Английский

Habitat Use and Spatial Distribution Patterns of Endangered Pheasants on the Southern Slopes of the Himalayas DOI Creative Commons
Kai Zhao, Ning Wang, Jiliang Xu

и другие.

Global Ecology and Conservation, Год журнала: 2025, Номер unknown, С. e03414 - e03414

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
The use of BirdNET embeddings as a fast solution to find novel sound classes in audio recordings DOI Creative Commons
Slade Allen‐Ankins, Sebastian Hoefer,

Jacopo Bartholomew

и другие.

Frontiers in Ecology and Evolution, Год журнала: 2025, Номер 12

Опубликована: Янв. 16, 2025

Passive acoustic monitoring has emerged as a useful technique for vocal species and contributing to biodiversity goals. However, finding target sounds without pre-existing recognisers still proves challenging. Here, we demonstrate how the embeddings from large model BirdNET can be used quickly easily find new sound classes outside original model’s training set. We outline general workflow, present three case studies covering range of ecological use cases that believe are common requirements in research management: invasive species, generating lists, detecting threatened species. In all cases, minimal amount class examples validation effort was required obtain results applicable desired application. The demonstrated success this method across different datasets taxonomic groups suggests wide applicability novel classes. anticipate will allow easy rapid detection which no current exist, both conservation

Язык: Английский

Процитировано

0
Cattle exclusion increases encounters of wild herbivores in Neotropical forests DOI Creative Commons
Juliana Vélez, William J. McShea, Budhan S. Pukazhenthi

и другие.

Journal of Applied Ecology, Год журнала: 2024, Номер 61(10), С. 2444 - 2454

Опубликована: Сен. 9, 2024

Abstract Ongoing habitat loss and species extinctions require managers to implement quantify the effectiveness of conservation actions for protecting biodiversity. Fencing, when done properly, is an important management tool in landscapes where wildlife domestic animals co‐occur, potentially enhancing use through selective exclusion species. For instance, fencing forest patches Neotropics expected reduce degradation understory vegetation by cattle, releasing these resources native community browsers fruit consumers. Here, we implemented ecological experiment using a before‐after control‐impact design effect cattle on encounter probability consumers, percent ground cover multifunctional Colombian Orinoquía. We built 14 km wildlife‐permeable fences along edges four (i.e. blocks) containing control fenced (treatment) sites. installed 33 camera traps obtain information about probabilities, before after were constructed. used Bayesian generalised linear mixed effects models via interaction between time period (before built) treatment (control or sites). Fencing was effective at reducing probabilities treated sites, it had positive impact relative seven studied (herbivores including black agouti [dry season only], lowland tapir only] spotted paca [both seasons] omnivore, South American coati [rainy only]). The negative collared peccary but only during dry season. No statistically significant detected white‐lipped white‐tailed deer. Synthesis applications : provide experimental evidence that are selectively excluding increasing rates wild consumers co‐occur with cattle. Our results highlight application ecology Neotropical forests, implementation feasible due smaller body sizes compared such as

Язык: Английский

Процитировано

3
The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates the individual identification of leopards via their roars DOI Creative Commons
Jonathan Growcott, Alex L. Lobora, Andrew Markham

и другие.

Remote Sensing in Ecology and Conservation, Год журнала: 2024, Номер unknown

Опубликована: Дек. 22, 2024

Abstract Conservation requires accurate information about species occupancy, populations and behaviour. However, gathering these data for elusive, solitary species, such as leopards ( Panthera pardus ), is often challenging. Utilizing novel technologies that augment collection by exploiting different species' traits could enable monitoring at larger spatiotemporal scales. Here, we conducted the first, large‐scale (~450 km 2 ) paired passive acoustic n = 50) camera trapping survey 50), large African carnivores, in Nyerere National Park, Tanzania. We tested whether be individually distinguished their vocalizations. identified individual from trap images then extracted roaring bouts concurrent audio. leopard roar summary features used 2‐state Gaussian Hidden–Markov Models (HMMs) to model temporal pattern of roars. Using features, vocal discrimination was achieved a maximum accuracy 46.6%. When using HMMs evaluate leopard's roar, identification more successful, with an overall 93.1% macro‐F1 score 0.78. Our study shows multiple modes technology, which record complementary data, can discover traits, as, Even though additional equipment, management analytical expertise are required, surveys still promising methodology exploit wider variety monitor inform conservation efficiently, than single technology studies alone.

Язык: Английский

Процитировано

3