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Feng X, Peterson AT, Aguirre-López LJ, Burger JR, Chen X, Papeş M. Rethinking ecological niches and geographic distributions in face of pervasive human influence in the Anthropocene. Biol Rev Camb Philos Soc 2024; 99:1481-1503. [PMID: 38597328 DOI: 10.1111/brv.13077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/08/2024] [Accepted: 03/18/2024] [Indexed: 04/11/2024]
Abstract
Species are distributed in predictable ways in geographic spaces. The three principal factors that determine geographic distributions of species are biotic interactions (B), abiotic conditions (A), and dispersal ability or mobility (M). A species is expected to be present in areas that are accessible to it and that contain suitable sets of abiotic and biotic conditions for it to persist. A species' probability of presence can be quantified as a combination of responses to B, A, and M via ecological niche modeling (ENM; also frequently referred to as species distribution modeling or SDM). This analytical approach has been used broadly in ecology and biogeography, as well as in conservation planning and decision-making, but commonly in the context of 'natural' settings. However, it is increasingly recognized that human impacts, including changes in climate, land cover, and ecosystem function, greatly influence species' geographic ranges. In this light, historical distinctions between natural and anthropogenic factors have become blurred, and a coupled human-natural landscape is recognized as the new norm. Therefore, B, A, and M (BAM) factors need to be reconsidered to understand and quantify species' distributions in a world with a pervasive signature of human impacts. Here, we present a framework, termed human-influenced BAM (Hi-BAM, for distributional ecology that (i) conceptualizes human impacts in the form of six drivers, and (ii) synthesizes previous studies to show how each driver modifies the natural BAM and species' distributions. Given the importance and prevalence of human impacts on species distributions globally, we also discuss implications of this framework for ENM/SDM methods, and explore strategies by which to incorporate increasing human impacts in the methodology. Human impacts are redefining biogeographic patterns; as such, future studies should incorporate signals of human impacts integrally in modeling and forecasting species' distributions.
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Affiliation(s)
- Xiao Feng
- Department of Biology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | | | | | - Joseph R Burger
- Department of Biology, University of Kentucky, Lexington, KY, 40502, USA
| | - Xin Chen
- Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, 21532, USA
| | - Monica Papeş
- Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, 37996, USA
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2
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Hua F, Wang W, Nakagawa S, Liu S, Miao X, Yu L, Du Z, Abrahamczyk S, Arias-Sosa LA, Buda K, Budka M, Carrière SM, Chandler RB, Chiatante G, Chiawo DO, Cresswell W, Echeverri A, Goodale E, Huang G, Hulme MF, Hutto RL, Imboma TS, Jarrett C, Jiang Z, Kati VI, King DI, Kmecl P, Li N, Lövei GL, Macchi L, MacGregor-Fors I, Martin EA, Mira A, Morelli F, Ortega-Álvarez R, Quan RC, Salgueiro PA, Santos SM, Shahabuddin G, Socolar JB, Soh MCK, Sreekar R, Srinivasan U, Wilcove DS, Yamaura Y, Zhou L, Elsen PR. Ecological filtering shapes the impacts of agricultural deforestation on biodiversity. Nat Ecol Evol 2024; 8:251-266. [PMID: 38182682 DOI: 10.1038/s41559-023-02280-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 11/14/2023] [Indexed: 01/07/2024]
Abstract
The biodiversity impacts of agricultural deforestation vary widely across regions. Previous efforts to explain this variation have focused exclusively on the landscape features and management regimes of agricultural systems, neglecting the potentially critical role of ecological filtering in shaping deforestation tolerance of extant species assemblages at large geographical scales via selection for functional traits. Here we provide a large-scale test of this role using a global database of species abundance ratios between matched agricultural and native forest sites that comprises 71 avian assemblages reported in 44 primary studies, and a companion database of 10 functional traits for all 2,647 species involved. Using meta-analytic, phylogenetic and multivariate methods, we show that beyond agricultural features, filtering by the extent of natural environmental variability and the severity of historical anthropogenic deforestation shapes the varying deforestation impacts across species assemblages. For assemblages under greater environmental variability-proxied by drier and more seasonal climates under a greater disturbance regime-and longer deforestation histories, filtering has attenuated the negative impacts of current deforestation by selecting for functional traits linked to stronger deforestation tolerance. Our study provides a previously largely missing piece of knowledge in understanding and managing the biodiversity consequences of deforestation by agricultural deforestation.
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Affiliation(s)
- Fangyuan Hua
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China.
| | - Weiyi Wang
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia
| | - Shinichi Nakagawa
- Evolution and Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Shuangqi Liu
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Xinran Miao
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China
- Fenner School of Environment and Society, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Le Yu
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
- Ministry of Education Ecological Field Station for East Asia Migratory Birds, Tsinghua University, Beijing, China
- Tsinghua University (Department of Earth System Science)-Xi'an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping, Beijing, China
| | - Zhenrong Du
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China
| | - Stefan Abrahamczyk
- Department of Botany, State Museum of Natural History Stuttgart, Stuttgart, Germany
| | - Luis Alejandro Arias-Sosa
- Laboratorio de Ecología de Organismos (GEO-UPTC), Escuela de Ciencias Biológicas, Universidad Pedagógica y Tecnológica de Colombia, Tunja, Colombia
| | - Kinga Buda
- Department of Behavioural Ecology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland
| | - Michał Budka
- Department of Behavioural Ecology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland
| | - Stéphanie M Carrière
- Institut de Recherche pour le Développement, UMR SENS, IRD, CIRAD, Université Paul Valéry Montpellier 3, Université de Montpellier, Montpellier, France
| | - Richard B Chandler
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, USA
| | | | - David O Chiawo
- Centre for Biodiversity Information Development, Strathmore University, Nairobi, Kenya
| | - Will Cresswell
- Centre of Biological Diversity, University of St Andrews, St Andrews, Scotland
| | - Alejandra Echeverri
- Department of Environmental Science, Policy and Management, University of California Berkeley, Berkeley, CA, USA
| | - Eben Goodale
- Department of Health and Environmental Science, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Guohualing Huang
- School of Environment and Science, Griffith University, Brisbane, Queensland, Australia
| | - Mark F Hulme
- Department of Life Sciences, Faculty of Science and Technology, University of the West Indies, St Augustine, Trinidad and Tobago
- British Trust for Ornithology, Norfolk, UK
| | - Richard L Hutto
- Division of Biological Sciences, University of Montana, Missoula, MT, USA
| | - Titus S Imboma
- Ornithology Section, Zoology Department, National Museums of Kenya, Nairobi, Kenya
| | - Crinan Jarrett
- Department of Bird Migration, Swiss Ornithological Institute, Sempach, Switzerland
| | - Zhigang Jiang
- Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Vassiliki I Kati
- Department of Biological Applications and Technology, University of Ioannina, Ioannina, Greece
| | - David I King
- Northern Research Station, USDA Forest Service, Amherst, MA, USA
| | - Primož Kmecl
- Group for Conservation Biology, DOPPS BirdLife Slovenia, Ljubljana, Slovenia
| | - Na Li
- Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, China
| | - Gábor L Lövei
- Institute of Applied Ecology, Fujian University of Agriculture and Forestry, Fuzhou, China
- HUN-REN-DE Anthropocene Ecology Research Group, University of Debrecen, Debrecen, Hungary
| | - Leandro Macchi
- Instituto de Ecología Regional (IER), CONICET, Universidad Nacional de Tucumán, Tucumán, Argentina
| | - Ian MacGregor-Fors
- Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Lahti, Finland
| | - Emily A Martin
- Institute of Animal Ecology and Systematic Zoology, Justus Liebig University of Gießen, Giessen, Germany
| | - António Mira
- MED (Mediterranean Institute for Agriculture, Environment and Development), CHANGE (Global Change and Sustainability Institute) and UBC (Conservation Biology Lab), Department of Biology, School of Sciences and Technology, University of Évora, Évora, Portugal
| | - Federico Morelli
- Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
- Department of Life and Environmental Sciences, Bournemouth University, Poole, UK
| | - Rubén Ortega-Álvarez
- Investigadoras e Investigadores por México del Consejo Nacional de Ciencia y Tecnología (CONACYT), Dirección Regional Occidente, Mexico City, Mexico
| | - Rui-Chang Quan
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, China
| | - Pedro A Salgueiro
- MED (Mediterranean Institute for Agriculture, Environment and Development), CHANGE (Global Change and Sustainability Institute), Institute for Advanced Studies and Research and UBC (Conservation Biology Lab), University of Évora, Évora, Portugal
| | - Sara M Santos
- MED (Mediterranean Institute for Agriculture, Environment and Development), CHANGE (Global Change and Sustainability Institute), Institute for Advanced Studies and Research and UBC (Conservation Biology Lab), University of Évora, Évora, Portugal
| | | | | | | | - Rachakonda Sreekar
- Centre for Nature-based Climate Solutions, National University of Singapore, Singapore, Singapore
| | - Umesh Srinivasan
- Centre for Ecological Sciences, Indian Institute of Science, Bangalore, India
| | - David S Wilcove
- School of Public and International Affairs and Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Yuichi Yamaura
- Shikoku Research Center, Forestry and Forest Products Research Institute, Kochi, Japan
| | - Liping Zhou
- Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Paul R Elsen
- Global Conservation Program, Wildlife Conservation Society, Bronx, NY, USA
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3
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Rolls RJ, Deane DC, Johnson SE, Heino J, Anderson MJ, Ellingsen KE. Biotic homogenisation and differentiation as directional change in beta diversity: synthesising driver-response relationships to develop conceptual models across ecosystems. Biol Rev Camb Philos Soc 2023; 98:1388-1423. [PMID: 37072381 DOI: 10.1111/brv.12958] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/23/2023] [Accepted: 03/28/2023] [Indexed: 04/20/2023]
Abstract
Biotic homogenisation is defined as decreasing dissimilarity among ecological assemblages sampled within a given spatial area over time. Biotic differentiation, in turn, is defined as increasing dissimilarity over time. Overall, changes in the spatial dissimilarities among assemblages (termed 'beta diversity') is an increasingly recognised feature of broader biodiversity change in the Anthropocene. Empirical evidence of biotic homogenisation and biotic differentiation remains scattered across different ecosystems. Most meta-analyses quantify the prevalence and direction of change in beta diversity, rather than attempting to identify underlying ecological drivers of such changes. By conceptualising the mechanisms that contribute to decreasing or increasing dissimilarity in the composition of ecological assemblages across space, environmental managers and conservation practitioners can make informed decisions about what interventions may be required to sustain biodiversity and can predict potential biodiversity outcomes of future disturbances. We systematically reviewed and synthesised published empirical evidence for ecological drivers of biotic homogenisation and differentiation across terrestrial, marine, and freshwater realms to derive conceptual models that explain changes in spatial beta diversity. We pursued five key themes in our review: (i) temporal environmental change; (ii) disturbance regime; (iii) connectivity alteration and species redistribution; (iv) habitat change; and (v) biotic and trophic interactions. Our first conceptual model highlights how biotic homogenisation and differentiation can occur as a function of changes in local (alpha) diversity or regional (gamma) diversity, independently of species invasions and losses due to changes in species occurrence among assemblages. Second, the direction and magnitude of change in beta diversity depends on the interaction between spatial variation (patchiness) and temporal variation (synchronicity) of disturbance events. Third, in the context of connectivity and species redistribution, divergent beta diversity outcomes occur as different species have different dispersal characteristics, and the magnitude of beta diversity change associated with species invasions also depends strongly on alpha and gamma diversity prior to species invasion. Fourth, beta diversity is positively linked with spatial environmental variability, such that biotic homogenisation and differentiation occur when environmental heterogeneity decreases or increases, respectively. Fifth, species interactions can influence beta diversity via habitat modification, disease, consumption (trophic dynamics), competition, and by altering ecosystem productivity. Our synthesis highlights the multitude of mechanisms that cause assemblages to be more or less spatially similar in composition (taxonomically, functionally, phylogenetically) through time. We consider that future studies should aim to enhance our collective understanding of ecological systems by clarifying the underlying mechanisms driving homogenisation or differentiation, rather than focusing only on reporting the prevalence and direction of change in beta diversity, per se.
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Affiliation(s)
- Robert J Rolls
- School of Environmental and Rural Sciences, University of New England, Armidale, New South Wales, 2351, Australia
| | - David C Deane
- School of Agriculture, Biomedicine and Environment, La Trobe University, Bundoora, Victoria, 3086, Australia
| | - Sarah E Johnson
- Natural Resources Department, Northland College, Ashland, WI, 54891, USA
| | - Jani Heino
- Geography Research Unit, University of Oulu, P.O. Box 8000, Oulu, FI-90014, Finland
| | - Marti J Anderson
- New Zealand Institute for Advanced Study (NZIAS), Massey University, Albany Campus, Auckland, New Zealand
| | - Kari E Ellingsen
- Norwegian Institute for Nature Research (NINA), Fram Centre, P.O. Box 6606 Langnes, Tromsø, 9296, Norway
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4
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Neupane B, Dhami B, Panthee S, Stewart AB, Silwal T, Katuwal HB. Forest Management Practice Influences Bird Diversity in the Mid-Hills of Nepal. Animals (Basel) 2022; 12:ani12192681. [PMID: 36230422 PMCID: PMC9559466 DOI: 10.3390/ani12192681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/28/2022] [Accepted: 10/03/2022] [Indexed: 11/30/2022] Open
Abstract
Forest management practice plays a critical role in conserving biodiversity. However, there are few studies on how forest management practice affects bird communities. Here, we compare the effectiveness of the Panchase Protection Forest (PPF; protected forest with government administration) and the Tibrekot Community Forest (TCF; community forest with community forest users' group administration) in hosting bird diversity in the mid-hills of Nepal. We examined 96 point count stations during summer and winter in 2019 and recorded 160 species of birds with three globally threatened vultures (red-headed vulture Sarcogyps calvus, slender-billed vulture Gyps tenuirostris, and white-rumped vulture Gyps bengalensis). Forest management practice, season, and elevation all influenced the richness and abundance of birds. The diversity, richness, and abundance of birds and the most common feeding guilds (insectivore, omnivore, and carnivore) were higher in TCF than in PPF; however, globally threatened species were only recorded in PPF. We also recorded a higher bird species turnover (beta diversity) in TCF than in PPF. Our study indicates that community-managed forests can also provide quality habitats similar to those of protected forests managed by the government, and provide refuge to various bird species and guilds. However, we recommend more comparative studies in other tropical and sub-tropical areas to understand how different forest management practices influence bird diversity.
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Affiliation(s)
- Bijaya Neupane
- Institute of Forestry, Pokhara Campus, Tribhuvan University, Pokhara 33700, Nepal
- Department of Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, 00014 Helsinki, Finland
- Correspondence: (B.N.); (H.B.K.)
| | - Bijaya Dhami
- Institute of Forestry, Pokhara Campus, Tribhuvan University, Pokhara 33700, Nepal
| | - Shristee Panthee
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China
| | - Alyssa B. Stewart
- Department of Plant Science, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Thakur Silwal
- Institute of Forestry, Pokhara Campus, Tribhuvan University, Pokhara 33700, Nepal
| | - Hem Bahadur Katuwal
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China
- Correspondence: (B.N.); (H.B.K.)
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5
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Sreekar R, Si X, Sam K, Liu J, Dayananda S, Goodale U, Kotagama S, Goodale E. Land use and elevation interact to shape bird functional and phylogenetic diversity and structure: Implications for designing optimal agriculture landscapes. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.13927] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Rachakonda Sreekar
- Institute of Entomology Biology Centre of the Czech Academy of Sciences Ceske Budejovice Czech Republic
- Department of Biological Sciences National University of Singapore Singapore Singapore
| | - Xingfeng Si
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station School of Ecological and Environmental Sciences East China Normal University Shanghai China
| | - Katerina Sam
- Institute of Entomology Biology Centre of the Czech Academy of Sciences Ceske Budejovice Czech Republic
- Faculty of Science University of South Bohemia Ceske Budejovice Czech Republic
| | - Jiajia Liu
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering School of Life Sciences Fudan University Shanghai China
| | - Salindra Dayananda
- Guangxi Key Laboratory of Forest Ecology and Conservation College of Forestry Guangxi University Nanning China
- Field Ornithology Group of Sri Lanka Department of Zoology University of Colombo Colombo Sri Lanka
| | - Uromi Goodale
- Guangxi Key Laboratory of Forest Ecology and Conservation College of Forestry Guangxi University Nanning China
- State Key Laboratory of Conservation and Utilization of Subtropical Agro‐Bioresources College of Forestry Guangxi University Nanning China
- Seed Conservation Specialist Group Species Survival CommissionInternational Union for Conservation of Nature Gland Switzerland
| | - Sarath Kotagama
- Field Ornithology Group of Sri Lanka Department of Zoology University of Colombo Colombo Sri Lanka
| | - Eben Goodale
- Guangxi Key Laboratory of Forest Ecology and Conservation College of Forestry Guangxi University Nanning China
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6
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Sreekar R, Sam K, Dayananda SK, Goodale UM, Kotagama SW, Goodale E. Endemicity and land-use type influence the abundance-range-size relationship of birds on a tropical island. J Anim Ecol 2020; 90:460-470. [PMID: 33080048 DOI: 10.1111/1365-2656.13379] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 10/16/2020] [Indexed: 11/30/2022]
Abstract
A single adverse environment event can threaten the survival of small-ranged species while random fluctuations in population size increase the extinction risk of less-abundant species. The abundance-range-size relationship (ARR) is usually positive, which means that smaller-ranged species are often of low abundance and might face both problems simultaneously. The ARR has been reported to be negative on tropical islands, perhaps allowing endemic species in such environments to remain extant. But there is a need to understand how endemism and land-use interact to shape ARR. Using 41 highly replicated transects along the full elevational gradient of Sri Lanka, we determined the following: (a) the direction of ARR, (b) if endemism affects ARR and (c) if land-use (rainforest, buffer and agriculture) changes ARR differently for endemics and non-endemics. Additionally, (d) we identified endemics that had both lower abundances and smaller range sizes, and ranked them from most threatened (specific to rainforests) to least threatened using a weighted-interaction nestedness estimator. (a) We found a positive relationship between species abundances and range size. This positive ARR was maintained among endemic and non-endemic species, across land-use types and at local and regional scales. (b) The ARR interacted with endemicity and land-use. Endemics with smaller range sizes had higher abundances than non-endemics, and particularly higher in rainforests compared to agriculture. In contrast, species with larger range sizes had similar abundances across endemicity and land-use categories. Many endemics with smaller range sizes are globally threatened; therefore, higher abundances may buffer them from extinction risks. (c) Nine (29%) endemics had both below average abundance and elevational range size. The nestedness estimator ranked the endemics Sri Lanka Whistling Thrush Myophonus blighi, Red-faced Malkoha Phaenicophaeus pyrrhocephalus, Sri Lanka Thrush Zoothera imbricata and White-faced Starling Sturnornis albofrontus as the four most vulnerable species to local extinction risk, which corresponds to their global extinction risk. We demonstrate that ARR can be positive on tropical islands, but it is influenced by endemism and land-use. Examining shifts in ARR is not only important to understand community dynamics but can also act as a tool to inform managers about species that require monitoring programmes.
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Affiliation(s)
- Rachakonda Sreekar
- Institute of Entomology, Biology Centre of the Czech Academy of Sciences, Ceske Budejovice, Czech Republic.,Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Katerina Sam
- Institute of Entomology, Biology Centre of the Czech Academy of Sciences, Ceske Budejovice, Czech Republic.,Faculty of Science, University of South Bohemia, Ceske Budejovice, Czech Republic
| | - Salindra K Dayananda
- Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, China.,Field Ornithology Group of Sri Lanka, Department of Zoology, University of Colombo, Colombo, Sri Lanka
| | - Uromi Manage Goodale
- Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, China
| | - Sarath W Kotagama
- Field Ornithology Group of Sri Lanka, Department of Zoology, University of Colombo, Colombo, Sri Lanka
| | - Eben Goodale
- Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, China
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7
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Zhang Q, Holyoak M, Goodale E, Liu Z, Shen Y, Liu J, Zhang M, Dong A, Zou F. Trait-environment relationships differ between mixed-species flocking and nonflocking bird assemblages. Ecology 2020; 101:e03124. [PMID: 32564355 DOI: 10.1002/ecy.3124] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 04/06/2020] [Accepted: 05/05/2020] [Indexed: 12/27/2022]
Abstract
Hypotheses about the mechanisms of community assembly suggest that biotic and abiotic filters constrain species establishment through selection on their functional traits. It is unclear how differences in traits influence the niche dimensions of closely related bird species when they coexist in spatiotemporally heterogeneous environments. Further, it is necessary to take into account their participation in mixed-species flocks, social systems that can include both competition and facilitation. For 6 yr, we conducted counts of forest bird species and took measurements of environmental variables along an elevational gradient in the Nanling Mountains, China. To disentangle different deterministic and historical/stochastic processes between flocking and nonflocking bird assemblages, we first compared phylogenetic and functional structure, and community-weighted mean trait values (CWM). We further assessed elevational variations in trait-environment relationships. We found that the flocking and nonflocking bird assemblages were structured by environmental gradients in contrasting ways. The nonflocking assemblage showed a strong change from over-dispersed to clustered community structure with increasing elevations, consistent with the strong selective pressures of a harsh environment (i.e., environmental filtering). The nonflocking assemblage also displayed significant trait-environment relationships in bivariate correlations and multivariate ordination space, including specific morphological and foraging traits that are linked to vegetation characteristics (e.g., short trees at high elevations). By contrast, flocking birds were more resilient to habitat change with elevation, with relatively consistent community membership, and showed fewer trait-environment associations. CWM of traits that are known to be associated with species' propensity to join mixed-species flocks, including small body size and broad habitat specificity, were linked to the flocking assemblage consistently across the elevational gradient. Collectively, our trait-based analyses provide strong evidence that trait-environment relationships differ between flocking and nonflocking bird assemblages. Besides serving as bellwethers of changing environments, emergent properties of flock systems may increase the resilience of animal communities undergoing environmental change. Mixed-species flocks present an ideal model with which to explore cooccurrence of closely related species, because habitat filtering may be buffered, and the patterns observed are therefore the outcomes of species interactions including both competition and facilitation.
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Affiliation(s)
- Qiang Zhang
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Guangdong Institute of Applied Biological Resources, Guangdong Academy of Science, Guangzhou, 510260, China
| | - Marcel Holyoak
- Department of Environmental Science and Policy, University of California, Davis, California, 95616, USA
| | - Eben Goodale
- Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, 530004, China
| | - Zhifa Liu
- Nanling National Nature Reserve, Shaoguan, 512727, China
| | - Yong Shen
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Guangdong Institute of Applied Biological Resources, Guangdong Academy of Science, Guangzhou, 510260, China
| | - Jiajia Liu
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Min Zhang
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Guangdong Institute of Applied Biological Resources, Guangdong Academy of Science, Guangzhou, 510260, China
| | - Anqiang Dong
- College of Life Sciences, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China
| | - Fasheng Zou
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Guangdong Institute of Applied Biological Resources, Guangdong Academy of Science, Guangzhou, 510260, China
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8
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Sreekar R, Koh LP, Mammides C, Corlett RT, Dayananda S, Goodale UM, Kotagama SW, Goodale E. Drivers of bird beta diversity in the Western Ghats-Sri Lanka biodiversity hotspot are scale dependent: roles of land use, climate, and distance. Oecologia 2020; 193:801-809. [PMID: 32447456 DOI: 10.1007/s00442-020-04671-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 05/08/2020] [Indexed: 11/24/2022]
Abstract
In the last 50 years, intensive agriculture has replaced large tracts of rainforests. Such changes in land use are driving niche-based ecological processes that determine local community assembly. However, little is known about the relative importance of these anthropogenic niche-based processes, in comparison to climatic niche-based processes and spatial processes such as dispersal limitation. In this study, we use a variation partitioning approach to determine the relative importance of land-use change (ranked value of forest loss), climatic variation (temperature and precipitation), and distance between transects, on bird beta diversity at two different spatial scales within the Western Ghats-Sri Lanka biodiversity hotspot. Our results show that the drivers of local community assembly are scale dependent. At the larger spatial scale, distance was more important than climate and land use for bird species composition, suggesting that dispersal limitation over the Palk Strait, which separates the Western Ghats and Sri Lanka, is the main driver of local community assembly. At the smaller scale, climate was more important than land use, suggesting the importance of climatic niches. Therefore, to conserve all species in a biodiversity hotspot, it is important to consider geographic barriers and climatic variation along with land-use change.
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Affiliation(s)
- Rachakonda Sreekar
- School of Biological Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia.
| | - Lian Pin Koh
- School of Biological Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Christos Mammides
- Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, 530004, China
| | - Richard T Corlett
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, 666303, Yunnan, China
| | - Salindra Dayananda
- Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, 530004, China.,Foundation for Nature Conservation and Preservation, Panadura, 12500, Sri Lanka
| | - Uromi M Goodale
- Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, 530004, China
| | - Sarath W Kotagama
- Field Ornithology Group of Sri Lanka, Department of Zoology, University of Colombo, Colombo 03, Sri Lanka
| | - Eben Goodale
- Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, 530004, China
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9
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Countryside Biogeography: the Controls of Species Distributions in Human-Dominated Landscapes. ACTA ACUST UNITED AC 2019. [DOI: 10.1007/s40823-019-00037-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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10
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Elevation shapes the reassembly of Anthropocene lizard communities. Nat Ecol Evol 2019; 3:638-646. [DOI: 10.1038/s41559-019-0819-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 01/21/2019] [Indexed: 11/09/2022]
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11
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Neate-Clegg MHC, Jones SEI, Burdekin O, Jocque M, Şekercioğlu ÇH. Elevational changes in the avian community of a Mesoamerican cloud forest park. Biotropica 2018. [DOI: 10.1111/btp.12596] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Montague H. C. Neate-Clegg
- Department of Biology; University of Utah; 257 S 1400 E Salt Lake City UT 84112 USA
- Operation Wallacea Ltd.; Wallace House, Old Bolingbroke Spilsby Lincolnshire PE23 4EX UK
| | - Samuel E. I. Jones
- Operation Wallacea Ltd.; Wallace House, Old Bolingbroke Spilsby Lincolnshire PE23 4EX UK
- School of Biological Sciences; Royal Holloway; University of London; Egham Surrey TW20 0EX UK
| | - Oliver Burdekin
- Operation Wallacea Ltd.; Wallace House, Old Bolingbroke Spilsby Lincolnshire PE23 4EX UK
- burdGIS; Unit G37b; Market Walk Wakefield West Yorkshire WF1 1QR UK
| | - Merlijn Jocque
- Operation Wallacea Ltd.; Wallace House, Old Bolingbroke Spilsby Lincolnshire PE23 4EX UK
- Aquatic and Terrestrial Ecology (ATECO); Royal Belgian Institute of Natural Sciences (RBINS); Vautierstraat 29 1000 Brussels Belgium
| | - Çağan Hakkı Şekercioğlu
- Department of Biology; University of Utah; 257 S 1400 E Salt Lake City UT 84112 USA
- Koç University; Rumelifeneri Istanbul Sarıyer Turkey
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12
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Sreekar R, Katabuchi M, Nakamura A, Corlett RT, Slik JWF, Fletcher C, He F, Weiblen GD, Shen G, Xu H, Sun IF, Cao K, Ma K, Chang LW, Cao M, Jiang M, Gunatilleke IAUN, Ong P, Yap S, Gunatilleke CVS, Novotny V, Brockelman WY, Xiang W, Mi X, Li X, Wang X, Qiao X, Li Y, Tan S, Condit R, Harrison RD, Koh LP. Spatial scale changes the relationship between beta diversity, species richness and latitude. ROYAL SOCIETY OPEN SCIENCE 2018; 5:181168. [PMID: 30839691 PMCID: PMC6170539 DOI: 10.1098/rsos.181168] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 08/22/2018] [Indexed: 06/09/2023]
Abstract
The relationship between β-diversity and latitude still remains to be a core question in ecology because of the lack of consensus between studies. One hypothesis for the lack of consensus between studies is that spatial scale changes the relationship between latitude and β-diversity. Here, we test this hypothesis using tree data from 15 large-scale forest plots (greater than or equal to 15 ha, diameter at breast height ≥ 1 cm) across a latitudinal gradient (3-30o) in the Asia-Pacific region. We found that the observed β-diversity decreased with increasing latitude when sampling local tree communities at small spatial scale (grain size ≤0.1 ha), but the observed β-diversity did not change with latitude when sampling at large spatial scales (greater than or equal to 0.25 ha). Differences in latitudinal β-diversity gradients across spatial scales were caused by pooled species richness (γ-diversity), which influenced observed β-diversity values at small spatial scales, but not at large spatial scales. Therefore, spatial scale changes the relationship between β-diversity, γ-diversity and latitude, and improving sample representativeness avoids the γ-dependence of β-diversity.
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Affiliation(s)
- Rachakonda Sreekar
- School of Biological Sciences, University of Adelaide, Adelaide 5005, South Australia,Australia
| | - Masatoshi Katabuchi
- Kellogg Biological Station, Michigan State University, Hickory Corners, MI 49060, USA
| | - Akihiro Nakamura
- Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan 666303, People's Republic of China
| | - Richard T. Corlett
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Menglun, Yunnan 666303, People's Republic of China
| | - J. W. Ferry Slik
- Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, Brunei Darussalam
| | - Christine Fletcher
- Forestry and Environment Division, Forest Research Institute Malaysia, Kepong, Selangor 52109, Malaysia
| | - Fangliang He
- Department of Renewable Resources, University of Alberta, Edmonton, Alberta, CanadaT6G 2G7
| | - George D. Weiblen
- Bell Museum and Department of Plant and Microbial Biology, University of Minnesota, St Paul, MN, USA
| | - Guochun Shen
- School of Ecological and Environmental Sciences, East China Normal University, Shanghai, People's Republic of China
| | - Han Xu
- Research Institute of Tropical Forestry, Chinese Academy of Forestry, Tianhe, Guangzhou 510520, People's Republic of China
| | - I-Fang Sun
- Department of Natural Resources and Environmental Studies, National Dong Hwa University, Hualien 97401, Taiwan, Republic of China
| | - Ke Cao
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, People's Republic of China
| | - Keping Ma
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, People's Republic of China
| | - Li-Wan Chang
- Institute of Ecology and Evolutionary Biology, National Taiwan University, 1 Roosevelt Road, Section 4, Taipei 10617, Taiwan, Republic of China
| | - Min Cao
- Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Yunnan 666303, People's Republic of China
| | - Mingxi Jiang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Chinese Academy of Sciences, Wuhan Botanical Garden, Wuhan 430074, People's Republic of China
| | | | - Perry Ong
- Institute of Biology, University of the Philippines, Diliman, Philippines
| | - Sandra Yap
- Institute of Arts and Sciences, Far Eastern University, Manila, Philippines
| | | | - Vojtech Novotny
- Institute of Entomology, Biology Centre of the Czech Academy of Sciences and Faculty of Science, University of South Bohemia, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic
- New Guinea Binatang Research Center, PO Box 604, Madang, Papua New Guinea
| | - Warren Y. Brockelman
- BIOTEC, National Science and Technology Development Agency, 113 Science Park, Klongluang, Pathum Thani 12120, Thailand
| | - Wusheng Xiang
- Guangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany, Chinese Academy of Sciences, Guilin 541006, People's Republic of China
| | - Xiangcheng Mi
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, People's Republic of China
| | - Xiankun Li
- Guangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany, Chinese Academy of Sciences, Guilin 541006, People's Republic of China
| | - Xihua Wang
- Tiantong National Forest Ecosystem Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, People's Republic of China
| | - Xiujuan Qiao
- Key Laboratory of Aquatic Botany and Watershed Ecology, Chinese Academy of Sciences, Wuhan Botanical Garden, Wuhan 430074, People's Republic of China
| | - Yide Li
- Research Institute of Tropical Forestry, Chinese Academy of Forestry, Tianhe, Guangzhou 510520, People's Republic of China
| | - Sylvester Tan
- Center for Tropical Forest Science – Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, DC, USA
| | - Richard Condit
- Center for Tropical Forest Science – Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Panama, Republic of Panama
| | - Rhett D. Harrison
- Agroforestry Centre, East and Southern Africa Region, 13 Elm Road, Woodlands, Lusaka, Zambia
| | - Lian Pin Koh
- School of Biological Sciences, University of Adelaide, Adelaide 5005, South Australia,Australia
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