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Andreozzi CL, Dawson TE, Kitzes J, Merenlender AM. Influence of microclimate and forest management on bat species faced with global change. Conserv Biol 2024:e14246. [PMID: 38445689 DOI: 10.1111/cobi.14246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 12/21/2023] [Accepted: 12/23/2023] [Indexed: 03/07/2024]
Abstract
Climate refugia, areas where climate is expected to remain relatively stable, can offer a near-term safe haven for species sensitive to warming temperatures and drought. Understanding the influence of temperature, moisture, and disturbance on sensitive species is critical during this time of rapid climate change. Coastal habitats can serve as important refugia. Many of these areas consist of working forestlands, and there is a growing recognition that conservation efforts worldwide must consider the habitat value of working lands, in addition to protected areas, to effectively manage large landscapes that support biodiversity. The sensitivity of forest bats to climate and habitat disturbance makes them a useful indicator taxon. We tested how microclimate and forest management influence habitat use for 13 species of insectivorous bats in a large climate refugium in a global biodiversity hotspot. We examined whether bat activity during the summer dry season is greater in forests where coastal fog provides moisture and more stable temperatures across both protected mature stands and those regularly logged. Acoustic monitoring was conducted at a landscape scale with 20 study sites, and generalized linear mixed models were used to examine the influence of habitat variables. Six species were positively associated with warmer nighttime temperature, and 5 species had a negative relationship with humidity or a positive relationship with climatic moisture deficit. Our results suggest that these mammals may have greater climate adaptive capacity than expected, and, for now, that habitat use may be more related to optimal foraging conditions than to avoidance of warming temperatures and drought. We also determined that 12 of the 13 regionally present bat species were regularly detected in commercial timberland stands. Because forest bats are highly mobile, forage over long distances, and frequently change roosts, the stewardship of working forests must be addressed to protect these species.
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Grants
- National Science Foundation Graduate Research Fellowship Program
- Researcher Starter Grant, Department of Environmental Science, Policy, and Management, University of California, Berkeley
- Bob Berry Scholarship Fund
- Carol Baird Fund
- Save the Redwoods League
- Forestry Endowment Fund, Department of Environmental Science, Policy, and Management, University of California, Berkeley
- Oliver Lyman Wildlife and Fisheries Fund
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Affiliation(s)
- Chelsea L Andreozzi
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA
| | - Todd E Dawson
- Department of Integrative Biology, University of California, Berkeley, Berkeley, California, USA
| | - Justin Kitzes
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Adina M Merenlender
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA
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de Zwaan DR, Huang A, Fox CH, Bradley DW, Ethier DM. Occupancy trends of overwintering coastal waterbird communities reveal guild-specific patterns of redistribution and shifting reliance on existing protected areas. Glob Chang Biol 2024; 30:e17178. [PMID: 38332577 DOI: 10.1111/gcb.17178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 01/11/2024] [Indexed: 02/10/2024]
Abstract
Climate change and anthropogenic stressors are redistributing species and altering community composition globally. Protected areas (PAs) may not sufficiently protect populations of species undergoing distributional shifts, necessitating that we evaluate existing PAs and identify areas for future protection to conserve biodiversity across regional and temporal scales. Coastal waterbirds are important indicators of marine ecosystem health, representing mobile, long-lived, higher trophic-level consumers. Using a 20-year citizen science dataset (1999-2019) with a before-after control-intervention sampling framework for habitat protection, we applied dynamic occupancy models to assess winter occupancy trends along the Pacific coast of Canada. Specifically, we sought to understand potential drivers of regional declines, spatial commonalities among guilds, and changes in habitat use before and after PA designation, as well as between PAs and non-PAs. Occupancy trends varied regionally, with greater declines in the south compared to the north. Regional differences underlined potential range shifts, particularly for species with traits linked to temperature tolerance, movement, and high productivity foraging, as cold-tolerant, migratory benthivores and piscivores wintered farther north relative to 20 years ago or retreated to cold-water fjords. While 21 of 57 (36.8%) species responded positively to PA designation (before-after), greater occupancy declines tended to occur in PAs established pre-1999 relative to non-PAs (control-intervention). Since PAs are currently concentrated in the south, negative associations were most apparent for species retreating northward, but existing PAs may have a stabilizing or transitory effect on southern wintering species shifting into the region from farther south. We emphasize that conservation strategies must balance persistence of current communities with preserving the climate-adapted biodiversity of tomorrow by accounting for community-level effects of species moving into and out of existing PAs. Incorporating range shifts into PA planning by predicting distributional changes will allow conservation practitioners to identify priority habitats, such as cold-water refugia, for persistent wildlife communities.
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Affiliation(s)
- Devin R de Zwaan
- Department of Biology, Mount Allison University, Sackville, New Brunswick, Canada
- Department of Biology, Acadia University, Wolfville, Nova Scotia, Canada
| | - Andrew Huang
- Canadian Wildlife Service, Environment and Climate Change Canada, Delta, British Columbia, Canada
| | - Caroline H Fox
- Canadian Wildlife Service, Environment and Climate Change Canada, Nanaimo, British Columbia, Canada
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Buenafe KCV, Dunn DC, Everett JD, Brito-Morales I, Schoeman DS, Hanson JO, Dabalà A, Neubert S, Cannicci S, Kaschner K, Richardson AJ. A metric-based framework for climate-smart conservation planning. Ecol Appl 2023; 33:e2852. [PMID: 36946332 DOI: 10.1002/eap.2852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 01/20/2023] [Accepted: 03/09/2023] [Indexed: 06/02/2023]
Abstract
Climate change is already having profound effects on biodiversity, but climate change adaptation has yet to be fully incorporated into area-based management tools used to conserve biodiversity, such as protected areas. One main obstacle is the lack of consensus regarding how impacts of climate change can be included in spatial conservation plans. We propose a climate-smart framework that prioritizes the protection of climate refugia-areas of low climate exposure and high biodiversity retention-using climate metrics. We explore four aspects of climate-smart conservation planning: (1) climate model ensembles; (2) multiple emission scenarios; (3) climate metrics; and (4) approaches to identifying climate refugia. We illustrate this framework in the Western Pacific Ocean, but it is equally applicable to terrestrial systems. We found that all aspects of climate-smart conservation planning considered affected the configuration of spatial plans. The choice of climate metrics and approaches to identifying refugia have large effects in the resulting climate-smart spatial plans, whereas the choice of climate models and emission scenarios have smaller effects. As the configuration of spatial plans depended on climate metrics used, a spatial plan based on a single measure of climate change (e.g., warming) will not necessarily be robust against other measures of climate change (e.g., ocean acidification). We therefore recommend using climate metrics most relevant for the biodiversity and region considered based on a single or multiple climate drivers. To include the uncertainty associated with different climate futures, we recommend using multiple climate models (i.e., an ensemble) and emission scenarios. Finally, we show that the approaches we used to identify climate refugia feature trade-offs between: (1) the degree to which they are climate-smart, and (2) their efficiency in meeting conservation targets. Hence, the choice of approach will depend on the relative value that stakeholders place on climate adaptation. By using this framework, protected areas can be designed with improved longevity and thus safeguard biodiversity against current and future climate change. We hope that the proposed climate-smart framework helps transition conservation planning toward climate-smart approaches.
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Affiliation(s)
- Kristine Camille V Buenafe
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Queensland, Australia
- School of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, Australia
- Department of Biology, University of Florence, Florence, Italy
- The Swire Institute of Marine Science and Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong, China
| | - Daniel C Dunn
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Queensland, Australia
- Centre for Biodiversity and Conservation Science (CBCS), The University of Queensland, Brisbane, Queensland, Australia
| | - Jason D Everett
- School of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, Australia
- Commonwealth Scientific and Industrial Research Organization (CSIRO) Environment, Queensland Biosciences Precinct (QBP), St Lucia, Queensland, Australia
- Centre for Marine Science and Innovation (CMSI), The University of New South Wales, Sydney, New South Wales, Australia
| | - Isaac Brito-Morales
- Betty and Gordon Moore Center for Science, Conservation International, Arlington, Virginia, USA
- Marine Science Institute, University of California Santa Barbara, Santa Barbara, California, USA
| | - David S Schoeman
- Ocean Futures Research Cluster, School of Science, Technology and Engineering, University of the Sunshine Coast, Maroochydore, Queensland, Australia
- Centre for African Conservation Ecology, Department of Zoology, Nelson Mandela University, Gqeberha, South Africa
| | - Jeffrey O Hanson
- Department of Biology, Carleton University, Ottawa, Ontario, Canada
| | - Alvise Dabalà
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, Queensland, Australia
- School of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, Australia
- Systems Ecology and Resource Management, Department of Organism Biology, Faculté des Sciences, Université Libre de Bruxelles - ULB, Brussels, Belgium
- Ecology and Biodiversity, Laboratory of Plant Biology and Nature Management, Biology Department, Vrije Universiteit Brussel - VUB, Brussels, Belgium
| | - Sandra Neubert
- School of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, Australia
- Institute of Computer Science, Leipzig University, Leipzig, Germany
| | - Stefano Cannicci
- Department of Biology, University of Florence, Florence, Italy
- The Swire Institute of Marine Science and Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong, China
| | - Kristin Kaschner
- Department of Biometry and Environmental Systems Analysis, Albert-Ludwigs-University of Freiburg, Freiburg im Breisgau, Germany
| | - Anthony J Richardson
- School of Mathematics and Physics, The University of Queensland, Brisbane, Queensland, Australia
- Commonwealth Scientific and Industrial Research Organization (CSIRO) Environment, Queensland Biosciences Precinct (QBP), St Lucia, Queensland, Australia
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Abstract
Urban parks provide amenities that support both human and animal communities. However, parks are often unevenly distributed within cities. One metric used to assess the distribution of parks to the public is termed the Park Score. The Park Score is an approach to measure access, acreage, investment, and amenities, and is designed to understand a city’s needs for greenspace, with a major focus on public health. In addition to issues related to public health, a disparity in the distribution of urban parks may pose a barrier for wildlife, such as birds. Yet, this remains unclear. We designed a study to quantify the role of parks in providing a refuge for birds across a park-needs gradient in Greater Los Angeles (LA), a metropolis with one of the lowest park scores in the United States. We had two objectives to address our goal. First, we quantified patterns in habitat features and avian communities within and adjacent to parks. Second, we analyzed relationships among habitat features within and adjacent to parks on avian abundance. We sampled birds and habitat features at 48 parks across a park-needs gradient in L.A. from October to March of 2017/2018 and 2018/2019. We found three lines of evidence supporting the refugia effect of parks. First, habitat features within parks were similar between low- and high-needs areas of LA, and this likely influenced avian abundance patterns, which were also alike. Second, avian communities were generally similar across the park-needs gradient, where parks in high-needs areas harbored birds affiliated with forest and shrub ecosystems. Third, bird abundance patterns were related to numerous habitat features within parks, regardless of where parks occurred in the city. The patterns we uncovered were opposite to what is found in residential areas (i.e., luxury effect), suggesting that parks provide important habitat for birds, whether in high- or low-needs sections of LA. Our results stress the role of parks as refugia in park-poor areas because they provide habitat in otherwise inhospitable urban conditions. Continued investment in park development in high-needs areas can thus potentially be a win-win when considering the benefits to people and birds.
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