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Relevant bibliographies by topics / Wildlife connectivity

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Journal articles

Academic literature on the topic 'Wildlife connectivity'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Wildlife connectivity"

1

Zeller, Katherine, David Wattles, Javan Bauder, and Stephen DeStefano. "Forecasting Seasonal Habitat Connectivity in a Developing Landscape." Land 9, no. 7 (2020): 233. http://dx.doi.org/10.3390/land9070233.

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Connectivity and wildlife corridors are often key components to successful conservation and management plans. Connectivity for wildlife is typically modeled in a static environment that reflects a single snapshot in time. However, it has been shown that, when compared with dynamic connectivity models, static models can underestimate connectivity and mask important population processes. Therefore, including dynamism in connectivity models is important if the goal is to predict functional connectivity. We incorporated four levels of dynamism (individual, daily, seasonal, and interannual) into an individual-based movement model for black bears (Ursus americanus) in Massachusetts, USA. We used future development projections to model movement into the year 2050. We summarized habitat connectivity over the 32-year simulation period as the number of simulated movement paths crossing each pixel in our study area. Our results predict black bears will further colonize the expanding part of their range in the state and move beyond this range towards the greater Boston metropolitan area. This information is useful to managers for predicting and addressing human–wildlife conflict and in targeting public education campaigns on bear awareness. Including dynamism in connectivity models can produce more realistic models and, when future projections are incorporated, can ensure the identification of areas that offer long-term functional connectivity for wildlife.

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2

LACHER, IARA, and MARIT L. WILKERSON. "Wildlife Connectivity Approaches and Best Practices in U.S. State Wildlife Action Plans." Conservation Biology 28, no. 1 (2013): 13–21. http://dx.doi.org/10.1111/cobi.12204.

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3

Lines, Robin, Joseph Tzanopoulos, and Douglas MacMillan. "Status of terrestrial mammals at the Kafue–Zambezi interface: implications for transboundary connectivity." Oryx 53, no. 4 (2018): 764–73. http://dx.doi.org/10.1017/s0030605317001594.

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AbstractThe Kavango–Zambezi Transfrontier Conservation Area Programme promotes landscape-level connectivity between clusters of wildlife management areas in five neighbouring countries. However, declining regional biodiversity can undermine efforts to maintain, expand and link wildlife populations. Narratives promoting species connectivity should thus be founded on studies of system and state changes in key resources. By integrating and augmenting multiple data sources throughout eight wildlife management areas, covering 1.7 million ha, we report changes during 1978–2015 in the occurrence and distribution of 31 mammal species throughout a landscape linking the Greater Kafue System to adjacent wildlife management areas in Namibia and Botswana. Results indicate species diversity is largely unchanged in Kafue National Park and Mulobezi and Sichifulo Game Management Areas. However, 100% of large carnivore and 64% of prey diversity have been lost in the Simalaha areas, and there is no evidence of migrational behaviour or species recolonization from adjacent wildlife areas. Although temporal sampling scales influence the definition of species occupancy and distribution, and data cannot elucidate population size or trends, our findings indicate an emerging connectivity bottleneck within Simalaha. Evidence suggests that at current disturbance levels the Greater Kafue System, Zambia's majority component in the Kavango–Zambezi Transfrontier Conservation Area, is becoming increasingly isolated at the trophic scale of large mammals. Further investigations of the site-specific, interacting drivers influencing wildlife distribution and occurrence are required to inform appropriate conservation interventions for wildlife recovery in key areas identified to promote transboundary connectivity in the Kavango–Zambezi Transfrontier Conservation Area.

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4

Buchholtz, Erin K., Amanda Stronza, Anna Songhurst, Graham McCulloch, and Lee A. Fitzgerald. "Using landscape connectivity to predict human-wildlife conflict." Biological Conservation 248 (August 2020): 108677. http://dx.doi.org/10.1016/j.biocon.2020.108677.

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5

Mimet, Anne, Céline Clauzel, and Jean-Christophe Foltête. "Locating wildlife crossings for multispecies connectivity across linear infrastructures." Landscape Ecology 31, no. 9 (2016): 1955–73. http://dx.doi.org/10.1007/s10980-016-0373-y.

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6

Niyogi, Rajashekhar, Mriganka Shekhar Sarkar, Poushali Hazra, Masidur Rahman, Subham Banerjee, and Robert John. "Habitat Connectivity for the Conservation of Small Ungulates in A Human-Dominated Landscape." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 180. http://dx.doi.org/10.3390/ijgi10030180.

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Conserving landscape connections among favorable habitats is a widely used strategy to maintain populations in an increasingly fragmented world. A species can then exist as a metapopulation consisting of several subpopulations connected by dispersal. Our study focuses on the importance of human–wildlife coexistence areas in maintaining connectivity among primary habitats of small ungulates within and outside protected areas in a large landscape in central India. We used geospatial information and species presence data to model the suitable habitats, core habitats, and connectivity corridors for four antelope species in an ~89,000 km2 landscape. We found that about 63% of the core habitats, integrated across the four species, lie outside the protected areas. We then measured connectivity in two scenarios: the present setting, and a hypothetical future setting—where habitats outside protected areas are lost. We also modelled the areas with a high risk of human-influenced antelope mortality using eco-geographical variables and wildlife mortality records. Overall, we found that the habitats in multiple-use forests play a central role in maintaining the connectivity network for antelopes. Sizable expanses of privately held farmlands and plantations also contribute to the essential movement corridors. Some perilous patches with greater mortality risk for species require mitigation measures such as underpasses, overpasses, and fences. Greater conservation efforts are needed in the spaces of human–wildlife coexistence to conserve the habitat network of small ungulates.

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7

Sawaya, Michael A., Steven T. Kalinowski, and Anthony P. Clevenger. "Genetic connectivity for two bear species at wildlife crossing structures in Banff National Park." Proceedings of the Royal Society B: Biological Sciences 281, no. 1780 (2014): 20131705. http://dx.doi.org/10.1098/rspb.2013.1705.

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Roads can fragment and isolate wildlife populations, which will eventually decrease genetic diversity within populations. Wildlife crossing structures may counteract these impacts, but most crossings are relatively new, and there is little evidence that they facilitate gene flow. We conducted a three-year research project in Banff National Park, Alberta, to evaluate the effectiveness of wildlife crossings to provide genetic connectivity. Our main objective was to determine how the Trans-Canada Highway and crossing structures along it affect gene flow in grizzly ( Ursus arctos ) and black bears ( Ursus americanus ). We compared genetic data generated from wildlife crossings with data collected from greater bear populations. We detected a genetic discontinuity at the highway in grizzly bears but not in black bears. We assigned grizzly bears that used crossings to populations north and south of the highway, providing evidence of bidirectional gene flow and genetic admixture. Parentage tests showed that 47% of black bears and 27% of grizzly bears that used crossings successfully bred, including multiple males and females of both species. Differentiating between dispersal and gene flow is difficult, but we documented gene flow by showing migration, reproduction and genetic admixture. We conclude that wildlife crossings allow sufficient gene flow to prevent genetic isolation.

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8

Riggio, Jason, and Tim Caro. "Structural connectivity at a national scale: Wildlife corridors in Tanzania." PLOS ONE 12, no. 11 (2017): e0187407. http://dx.doi.org/10.1371/journal.pone.0187407.

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9

McIntyre, Nancy E., Joseph C. Drake, and Kerry L. Griffis-Kyle. "A connectivity and wildlife management conflict in isolated desert waters." Journal of Wildlife Management 80, no. 4 (2016): 655–66. http://dx.doi.org/10.1002/jwmg.1059.

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10

Ghoddousi, Arash, Erin K. Buchholtz, Alia M. Dietsch, et al. "Anthropogenic resistance: accounting for human behavior in wildlife connectivity planning." One Earth 4, no. 1 (2021): 39–48. http://dx.doi.org/10.1016/j.oneear.2020.12.003.

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