Global reintroduction perspectives: 2018. Case studies from around the globe

Published: April 18, 2018

The IUCN Species Survival Commission advocates evidence-based conservation interventions.Our more than 7,500 experts from virtually every country of the world, are organized into over 140 specialist groups, primarily focused on particular types plants, fungi or animals.The knowledge that they generate informs Red List Threatened (Red Lists), allowing for evaluation species' risk extinction, and compilation an extensive database population trends, geographic distribution, natural history, interventions.The scientific output groups is fundamental guiding society politicians towards actions likely to have a positive impact.All activities SSC fall along what we call Assess-Plan-Act cycle.As mentioned above, begin with assessments List.But this only first step: data then used develop species action plans, following systematic process spearheaded by Conservation Planning Specialist Group.Finally, prioritized in these plans represent interventions most improve status species, encouraging donor organizations, practitioners governments align their financial human resources best available evidence possible success.This cycle never ends, however.Once implemented, impact must be evaluated, adjusted, adapted new conditions, starting again.This sixth edition Global Reintroduction Perspectives magnificent example cycle.Compiled Group (RSG), invertebrates, fish, amphibians, reptiles, birds, mammals, summarize results translocations reintroductions purposes.The case studies presented add growing body knowledge, now reaches 349 examples all around world.It clearly team work, involving numerous people institutions.The work Pritpal Singh Soorae Axel Moehrenschlager has been fundamental, Program Officer Chair RSG, respectively.

Language: Английский

---

Maintaining tiger connectivity and minimizing extinction into the next century: Insights from landscape genetics and spatially-explicit simulations

Biological Conservation, Journal Year: 2017, Volume and Issue: 218, P. 181 - 191

Published: Dec. 30, 2017

Language: Английский

---

The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers

CATENA, Journal Year: 2019, Volume and Issue: 187, P. 104421 - 104421

Published: Dec. 23, 2019

Language: Английский

---

Landscape connectivity modeling from the perspective of animal dispersal

Landscape Ecology, Journal Year: 2019, Volume and Issue: 35(1), P. 41 - 58

Published: Nov. 19, 2019

Language: Английский

---

Spatio-temporal ecology of sympatric felids on Borneo. Evidence for resource partitioning?

PLoS ONE, Journal Year: 2018, Volume and Issue: 13(7), P. e0200828 - e0200828

Published: July 20, 2018

Niche differentiation, the partitioning of resources along one or more axes a species' niche hyper-volume, is widely recognised as an important mechanism for sympatric species to reduce interspecific competition and predation risk, thus facilitate co-existence. Resource may be facilitated by behavioural differentiation three main dimensions: habitat, food time. In this study, we investigate extent which these mechanisms can explain coexistence assemblage five felids in Borneo. Using multi-scale logistic regression, show that Bornean exhibit differences both their broad fine-scale habitat use. We calculate temporal activity patterns overlap between species, present evidence separation within felid guild. Lastly, conducted all-subsets regression predict occurrence each function co-occurrence large number other showed co-occurred with range some could candidate prey. Our study reveals apparent resource assemblage, operating all dimension axes. These results provide new insights into ecology broader community they live also information conservation planning guild predators.

Language: Английский

---

Multispecies assessment of core areas and connectivity of desert carnivores in central Iran

Diversity and Distributions, Journal Year: 2017, Volume and Issue: 24(2), P. 193 - 207

Published: Nov. 9, 2017

Abstract Aim Central Iran is a priority area for biodiversity conservation, which threatened by encroachment on core habitats and fragmentation roads. The goal of this study was to identify areas connectivity corridors set desert carnivores predicting habitat suitability calculating resistant kernel, factorial least‐cost path modelling graph network indices. Location Iran. Methods We used an ensemble model ( EM ) methods predict the potential leopard, cheetah, caracal, wild cat, sand cat grey wolf kernel important between patches. also analysis quantify importance each patch landscape connectivity. Results Potential studied appeared be strongly influenced prey density, annual precipitation, topographical roughness, shrubland density anthropogenic factors. Most patches were covered protected no‐hunting areas. This may attributed relatively high resistance outside leading isolated occupied Patch significantly correlated with extent, dispersing individuals probability occurrence in patch. Main conclusions Our findings revealed that abundance critically important, has higher influence than per se. In addition, our provided first map multiple species conserving these requires integrated landscape‐level management reduce mortality risk protect linkages among them. These results will assist development multispecies conservation strategies carnivores.

Language: Английский

---

A reporting framework for Sustainable Development Goal 15: Multi-scale monitoring of forest degradation using MODIS, Landsat and Sentinel data

Remote Sensing of Environment, Journal Year: 2019, Volume and Issue: 237, P. 111592 - 111592

Published: Dec. 11, 2019

Language: Английский

---

Human footprint differentially impacts genetic connectivity of four wide‐ranging mammals in a fragmented landscape

Diversity and Distributions, Journal Year: 2019, Volume and Issue: 26(3), P. 299 - 314

Published: Dec. 25, 2019

Abstract Aim Maintaining connectivity is critical for long‐term persistence of wild carnivores in landscapes fragmented due to anthropogenic activity. We examined spatial genetic structure and the impact landscape features on four widespread species—jungle cat ( Felis chaus ), leopard Panthera pardus sloth bear Melursus ursinus ) tiger tigris ). Location Our study was carried out central Indian landscape, a stronghold terms distribution abundance large mammals. The comprises forests embedded heterogeneous matrix multiple land use types. Methods Microsatellite data from non‐invasively sampled individuals (90 jungle cats, 82 leopards, 104 bears 117 tigers) were used investigate differentiation. Impact inferred using multimodel resistance optimization approach. Results All species revealed significant isolation by distance (IBD). correlation between geographic only over short cat, followed longer distances bear, tiger. Overall, human footprint had high negative gene flow tigers, least cats. Individual variables—land use, population density, density linear roads—impacted differently. Although found be an important variable explaining all species, amount variation explained, optimum resolution values different classes varied. Main conclusions As expected theory, but rarely demonstrated empirical data, pattern autocorrelation scaled with dispersal ability species. Landscape analyses species‐specific provided insights into interactions biology structure. results emphasize need incorporating functional landscape‐level conservation planning.

Language: Английский

---

Meta‐replication, sampling bias, and multi‐scale model selection: A case study on snow leopard (Panthera uncia) in western China

Ecology and Evolution, Journal Year: 2020, Volume and Issue: 10(14), P. 7686 - 7712

Published: July 1, 2020

Abstract Replicated multiple scale species distribution models (SDMs) have become increasingly important to identify the correct variables determining and their influences on ecological responses. This study explores multi‐scale habitat relationships of snow leopard ( Panthera uncia ) in two areas Qinghai–Tibetan Plateau western China. Our primary objectives were evaluate degree which relationships, expressed by predictors, scales response, magnitude effects, consistent across or locally landcape‐specific. We coupled univariate optimization maximum entropy algorithm produce multivariate SDMs, inferring relative suitability for ensembling top performing models. optimized SDMs based average omission rate ensembles’ overlap with a simulated reference model. Comparison highlighted landscape‐specific responses limiting factors. These dependent effects hydrological network, anthropogenic features, topographic complexity, heterogeneity landcover patch mosaic. Overall, even accounting specific local differences, we found general landscape attributes associated requirements, consisting positive association uplands ridges, aggregated low‐contrast landscapes, large extents grassy herbaceous vegetation. As means performance bias correction methods, explored three datasets showing range intensities. The corrections depends intensity; however, density kernels offered reliable strategy under all circumstances. reveals response leopards environmental confirms role meta‐replicated designs identification spatially varying Furthermore, this makes contributions ongoing discussion about best approaches sampling correction.

Language: Английский

---

Prioritizing areas for conservation outside the existing protected area network in Bhutan: the use of multi-species, multi-scale habitat suitability models

Landscape Ecology, Journal Year: 2021, Volume and Issue: 36(5), P. 1281 - 1309

Published: March 15, 2021

Abstract Context Understanding the environmental and anthropogenic factors influencing habitat selection of multiple species is a foundation for quantifying human impacts on biodiversity developing effective conservation measures. Objectives To determine effect scales environmental/topographic variables landscape patterns suitability terrestrial mammals in Bhutan, assess effectiveness current protected area network, identify areas high richness outside existing area, evaluate potential indicator umbrella planning. Methods We modelled multi-scale sixteen across Bhutan using data from nation-wide camera trap survey. used predicted distribution maps to multi-species network. performed simulations priority based their suitability, proximity overall connectivity within species. correlation analysis among occurrence multivariate cluster evaluated utility each as by assessing how well optimal that would protect suitable all 16 simultaneously. Results Protected forest cover were strongly associated with use most Additionally, topographical features, like terrain roughness slope position, contributed species, but often different ways. Environmental mostly selected at medium broad scales. Anthropogenic (agriculture built-up areas) negatively both fine Conservation assessment found south-central have terms mean total protected. Similarly, biological corridors region offered protection. Our simulation additional protection abutting southern relative muntjac, wild pig, serow, sambar Asian golden cat are broader tiger, gaur, dhole, clouded leopard, black bear common leopard Conclusions This study highlights need optimally located species-rich areas. kind provides important information optimize future development plans national regional

Language: Английский

---