FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311192292> ?p ?o ?g. }

• W4311192292 endingPage "225" @default.
• W4311192292 startingPage "221" @default.
• W4311192292 abstract "The Ruaha-Rungwa conservation landscape is a ~45,000 km2 Protected Area (PA) complex in south-central Tanzania. The area is believed to harbour globally important populations of lion (Panthera leo; Bauer et al., 2016), cheetah (Acinonyx jubatus; Durant et al., 2017), and African wild dog (Lycaon pictus; Woodroffe & Sillero-Zubiri, 2020), as well as important populations of leopard (Panthera pardus), spotted hyaena (Crocuta crocuta), and striped hyaena (Hyaena hyaena) (TAWIRI, 2009). However, no empirical estimates of landscape-wide population abundance exist for these populations, with the only available estimates being based on expert opinion or extrapolations from densities elsewhere (Mesochina et al., 2010; Riggio et al., 2013). Here, we present landscape-level population density and abundance estimates of five large carnivore species in Ruaha-Rungwa. We calculated population density as an index from spoor (track) data, while acknowledging the technique's low precision (as revealed by recent research) and providing recommendations for future monitoring. The complex includes Ruaha National Park (NP), one of the largest NPs in eastern Africa at 20,226 km2, which is used for photographic tourism; three Game Reserves (GRs – Rungwa, 9175 km2; Kizigo, 5140 km2; Muhesi, 2720 km2), where trophy hunting tourism is the primary revenue generation mechanism; and a number of multiple-use areas, including Lunda-Mkwambi Game Controlled Area (GCA), Rungwa South Open Area (OA), and MBOMIPA and Waga Wildlife Management Areas (WMAs) (Figure 1). Vegetation cover primarily comprises a mosaic of Acacia-Commiphora open savannah/bushland and central Zambezian and Eastern Brachystegia-dominated miombo woodland, complemented by riverine forests and floodplain grasslands (Olson et al., 2001). We carried out vehicle-based spoor surveys over two dry seasons, between July and November 2017 and June and November 2018. The study area was divided into 225-km2 grid cells, and a minimum of 6 km and a maximum of 20 km were surveyed within all cells with sufficient road access (Henschel et al., 2020). The maximum 20 km of transects were carried out in all sites where this was possible. For data collection, we employed the protocols presented in Henschel et al. (2020). We counted the number of fresh track observations for each species for each transect and from this calculated standardised ‘track densities’ (Table 1), equivalent to the number of fresh tracks per 100 km of transect (Funston et al., 2010). Population densities were then estimated from track densities using the general equation for all large carnivore species developed by Winterbach et al. (2016), modified from Funston et al. (2010). We calculated confidence intervals (CIs) for the population density and abundance estimates using the method employed by Bauer et al. (2017) and Dröge et al. (2020); although this results in wider confidence intervals than the method from Funston et al. (2010), the latter has been shown to overestimate precision (Dröge et al., 2020). As a result of ongoing land disputes, a portion of southwestern Ruaha NP (~2400 km2) hosts permanent settlements and industrial agriculture activities and was found to be largely devoid of wildlife (Figure 1). Transects in this area were excluded from the analyses, and density and abundance estimates for Ruaha NP refer to the area of the NP without such activities (17,827 km2). We carried out a total of 2393 km of spoor transects. Overall, we surveyed ~85% of sampling sites in the landscape, ensuring similar sampling in both the primary vegetation types, as well as with regard to distance to rivers, PA boundaries and type, and other natural and anthropogenic features (Figure 1). We detected a total of 151 independent fresh tracks of lion, 149 of leopard, 9 of cheetah, 54 of wild dog, and 572 of spotted hyaena. Table 2 presents overall and PA-specific (where possible) population density and abundance estimates. See Appendix S1 for detection maps for all large carnivores, and Appendix S2 for the track and population density estimates calculations. Our surveys indicate that Ruaha-Rungwa is home to important populations of lion, leopard, spotted hyaena, and African wild dog. Although cheetah population estimates exhibit very low precision, the low number of detections suggest a relatively sparse population (Table 2). Results confirm that Ruaha-Rungwa is home to an important population of lion, with detections suggesting that the Great Ruaha and Mzombe river valleys are particularly important for the population in the dry season (Appendix S1). Our findings also suggest that Ruaha-Rungwa hosts what is likely to be one of the continent's largest remaining populations of wild dogs, although standard errors for the estimate are especially high due to high variability in spoor densities between transects, which should be kept in mind when interpreting results. Rungwa GR appears particularly important for the species, possibly due to the area consisting primarily of miombo woodlands, which have been suggested to be particularly suitable for the species (Creel, 2001). Spotted hyaena were the species estimated to have the highest abundance in the complex, while leopard track densities were comparable with those from studies employing the same methodology elsewhere (Bauer et al., 2015; Henschel et al., 2020). Finally, we appreciate that recent research (Dröge et al., 2020) showed that population density and abundance estimates from track densities exhibit lower precision than previously thought. Indeed, the CIs estimated through the amended formula presented by Dröge et al. (2020) (Table 2) are unlikely to be suitable to monitor population changes over time. Nevertheless, we believe that there is value in sharing our estimates, given the complete lack of empirical landscape-scale population estimates for Ruaha-Rungwa's large carnivores. Going forward, however, we recommend exploring instead the scalability of methods that can provide greater levels of precision, such as spatially explicit capture-recapture (SECR) models applied to data from camera traps (e.g., Strampelli, Henschel, Dickman et al., 2022) or direct sightings (e.g., Elliot & Gopalaswamy, 2016), which have typically been applied over smaller areas. Alternatively, where scalability proves challenging or too resource-intensive, we recommend considering the estimation of alternative robust status parameters (e.g., occupancy; Strampelli, Henschel, Searle et al., 2022) from track data to monitor population status over large scales. Fieldwork for this research was carried out under permits 2017-210-NA-2017-107 and 2018-367-NA-2017-107, granted by the Tanzania Commission for Science and Technology (COSTECH) and the Tanzania Wildlife Research Institute (TAWIRI). We would like to thank the Government of Tanzania, TAWIRI, Tanzania National Parks Authority (TANAPA), Tanzania Wildlife Management Authority (TAWA), and Idodi-Pawaga MBOMIPA WMA for their support of this research. We also thank TANAPA Rangers and TAWA and MBOMIPA Game Scouts, as well as Mr. Stivin G. Pangamwene and Mr. Hamis S. Dongo, for their assistance during to fieldwork. We thank Mdonya Old River Camp and Essential Destinations, Ikuka Safari Camp and Nomad Tanzania for their support in Ruaha, and Tanzania Big Game Safaris for their assistance in Rungwa Ikiri. Scholarship funding for PS, and for some fieldwork costs, was provided by the University of Oxford's NERC Environmental Research DTP, and by The Queen's College of the University of Oxford. Additional fieldwork funding was provided by grants from the National Geographic Society, the Columbus Zoological Park Association, Inc., the Chicago Zoological Society, Panthera and the Royal Geographical Society (with IBG), who we thank for their generosity. AD was funded by a Recanati-Kaplan Fellowship. The authors have no conflicts of interest to declare. Data employed in this study are freely available and can be accessed at: https://github.com/pstrampelli/RuahaRungwaLargeCarnivoreDensities. AppendixS1 AppendixS2 Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article." @default.
• W4311192292 created "2022-12-24" @default.
• W4311192292 creator A5016989139 @default.
• W4311192292 creator A5024739285 @default.
• W4311192292 creator A5059251726 @default.
• W4311192292 creator A5060441990 @default.
• W4311192292 creator A5062119084 @default.
• W4311192292 creator A5063845595 @default.
• W4311192292 creator A5082902541 @default.
• W4311192292 date "2022-12-02" @default.
• W4311192292 modified "2023-10-14" @default.
• W4311192292 title "Index‐based large carnivore population density and abundance estimates for the <scp>Ruaha‐Rungwa</scp> conservation complex in Tanzania" @default.
• W4311192292 cites W2255332103 @default.
• W4311192292 cites W2272473773 @default.
• W4311192292 cites W2562359147 @default.
• W4311192292 cites W2564983818 @default.
• W4311192292 cites W2603026326 @default.
• W4311192292 cites W2619106725 @default.
• W4311192292 cites W3008800151 @default.
• W4311192292 cites W3010318828 @default.
• W4311192292 cites W4282932159 @default.
• W4311192292 doi "https://doi.org/10.1111/aje.13092" @default.
• W4311192292 hasPublicationYear "2022" @default.
• W4311192292 type Work @default.
• W4311192292 citedByCount "0" @default.
• W4311192292 crossrefType "journal-article" @default.
• W4311192292 hasAuthorship W4311192292A5016989139 @default.
• W4311192292 hasAuthorship W4311192292A5024739285 @default.
• W4311192292 hasAuthorship W4311192292A5059251726 @default.
• W4311192292 hasAuthorship W4311192292A5060441990 @default.
• W4311192292 hasAuthorship W4311192292A5062119084 @default.
• W4311192292 hasAuthorship W4311192292A5063845595 @default.
• W4311192292 hasAuthorship W4311192292A5082902541 @default.
• W4311192292 hasBestOaLocation W43111922921 @default.
• W4311192292 hasConcept C105795698 @default.
• W4311192292 hasConcept C136764020 @default.
• W4311192292 hasConcept C144024400 @default.
• W4311192292 hasConcept C149923435 @default.
• W4311192292 hasConcept C163528473 @default.
• W4311192292 hasConcept C188382862 @default.
• W4311192292 hasConcept C18903297 @default.
• W4311192292 hasConcept C199733313 @default.
• W4311192292 hasConcept C205649164 @default.
• W4311192292 hasConcept C2777382242 @default.
• W4311192292 hasConcept C2779357621 @default.
• W4311192292 hasConcept C2908647359 @default.
• W4311192292 hasConcept C33923547 @default.
• W4311192292 hasConcept C41008148 @default.
• W4311192292 hasConcept C77077793 @default.
• W4311192292 hasConcept C86803240 @default.
• W4311192292 hasConcept C91375879 @default.
• W4311192292 hasConceptScore W4311192292C105795698 @default.
• W4311192292 hasConceptScore W4311192292C136764020 @default.
• W4311192292 hasConceptScore W4311192292C144024400 @default.
• W4311192292 hasConceptScore W4311192292C149923435 @default.
• W4311192292 hasConceptScore W4311192292C163528473 @default.
• W4311192292 hasConceptScore W4311192292C188382862 @default.
• W4311192292 hasConceptScore W4311192292C18903297 @default.
• W4311192292 hasConceptScore W4311192292C199733313 @default.
• W4311192292 hasConceptScore W4311192292C205649164 @default.
• W4311192292 hasConceptScore W4311192292C2777382242 @default.
• W4311192292 hasConceptScore W4311192292C2779357621 @default.
• W4311192292 hasConceptScore W4311192292C2908647359 @default.
• W4311192292 hasConceptScore W4311192292C33923547 @default.
• W4311192292 hasConceptScore W4311192292C41008148 @default.
• W4311192292 hasConceptScore W4311192292C77077793 @default.
• W4311192292 hasConceptScore W4311192292C86803240 @default.
• W4311192292 hasConceptScore W4311192292C91375879 @default.
• W4311192292 hasFunder F4320307968 @default.
• W4311192292 hasFunder F4320309024 @default.
• W4311192292 hasFunder F4320310138 @default.
• W4311192292 hasFunder F4320320195 @default.
• W4311192292 hasIssue "1" @default.
• W4311192292 hasLocation W43111922921 @default.
• W4311192292 hasOpenAccess W4311192292 @default.
• W4311192292 hasPrimaryLocation W43111922921 @default.
• W4311192292 hasRelatedWork W1606552287 @default.
• W4311192292 hasRelatedWork W1940328319 @default.
• W4311192292 hasRelatedWork W2014666871 @default.
• W4311192292 hasRelatedWork W2124149848 @default.
• W4311192292 hasRelatedWork W2271627438 @default.
• W4311192292 hasRelatedWork W2754697109 @default.
• W4311192292 hasRelatedWork W3174146188 @default.
• W4311192292 hasRelatedWork W4307432804 @default.
• W4311192292 hasRelatedWork W4367042407 @default.
• W4311192292 hasRelatedWork W4376958962 @default.
• W4311192292 hasVolume "61" @default.
• W4311192292 isParatext "false" @default.
• W4311192292 isRetracted "false" @default.
• W4311192292 workType "article" @default.