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Riva F, Fahrig L. Obstruction of biodiversity conservation by minimum patch size criteria. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2023; 37:e14092. [PMID: 37021385 DOI: 10.1111/cobi.14092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 03/20/2023] [Accepted: 03/22/2023] [Indexed: 05/09/2023]
Abstract
Minimum patch size criteria for habitat protection reflect the conservation principle that a single large (SL) patch of habitat has higher biodiversity than several small (SS) patches of the same total area (SL > SS). Nonetheless, this principle is often incorrect, and biodiversity conservation requires placing more emphasis on protection of large numbers of small patches (SS > SL). We used a global database reporting the abundances of species across hundreds of patches to assess the SL > SS principle in systems where small patches are much smaller than the typical minimum patch size criteria applied for biodiversity conservation (i.e., ∼85% of patches <100 ha). The 76 metacommunities we examined included 4401 species in 1190 patches. From each metacommunity, we resampled species-area accumulation curves to evaluate how biodiversity responded to habitat existing as a few large patches or as many small patches. Counter to the SL > SS principle and consistent with previous syntheses, species richness accumulated more rapidly when adding several small patches (45.2% SS > SL vs. 19.9% SL > SS) to reach the same cumulative area, even for the very small patches in our data set. Responses of taxa to habitat fragmentation differed, which suggests that when a given total area of habitat is to be protected, overall biodiversity conservation will be most effective if that habitat is composed of as many small patches as possible, plus a few large ones. Because minimum patch size criteria often require larger patches than the small patches we examined, our results suggest that such criteria hinder efforts to protect biodiversity.
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Affiliation(s)
- Federico Riva
- Spatial Ecology Group, Department of Ecology and Evolution, Université de Lausanne, Lausanne, Switzerland
| | - Lenore Fahrig
- Geomatics and Landscape Ecology Laboratory, Department of Biology, Carleton University, Ottawa, Ontario, Canada
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Luo G, Huang R, Guo S, Li D, Yang J, Zhang F, Yu J. Thresholds in the Species-Area-Habitat Model: Evidence from the Bryophytes on Continental Islands. PLANTS (BASEL, SWITZERLAND) 2023; 12:837. [PMID: 36840184 PMCID: PMC9962199 DOI: 10.3390/plants12040837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/10/2023] [Accepted: 02/10/2023] [Indexed: 06/18/2023]
Abstract
AIM To clarify whether (1) there are thresholds in the species-area-habitat relationship for bryophytes and potential mechanisms, (2) such thresholds vary among different bryophyte groups, and (3) choros is better than area or habitat alone in the prediction of SR. LOCATION Islands in central and southern Zhejiang, China. METHODS We investigated the species richness (SR) of five bryophyte groups (total bryophytes, total mosses, liverworts, acrocarpous mosses, and pleurocarpous mosses) and habitat types on 66 islands. By using four threshold models, the logarithmic and the power models, we quantified their SR-choros relationships (SKRs), species-area relationships (SARs), and species-habitat relationships (SHRs). We also conducted path analyses to detect the direct effects of area per se and habitat per se on the SR. RESULTS The AICc values of the SKR models were overall smaller than those of the respective SAR and SHR models. The left-horizontal two-threshold model was best for the SKRs. A phenomenon (the small-choros effect, SCE) in which SR independently varied choros below a given threshold was detected. The SCE thresholds were smaller in mosses than in liverworts and in acrocarpous mosses than in pleurocarpous mosses. No direct and positive effects of habitat per se on the SR were detected below choros thresholds for all five groups. MAIN CONCLUSIONS There were two thresholds and SCEs in the SKRs of all five bryophyte groups. The SCEs likely resulted from the elimination of the direct and positive effects of habitat diversity on the SR of the bryophytes on small choros islands. The SCE thresholds were high for species groups sensitive to environments. Choros was better than area or habitat alone in determining the SR of the bryophytes on continental islands.
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Affiliation(s)
| | | | | | | | | | | | - Jing Yu
- Correspondence: (S.G.); (J.Y.)
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Li D, Zhang F, Luo G, Zhang T, Lv J, Wang W, Yang J, You D, Xu N, Guo S, Yu J. Taxon-dependent effects of dispersal limitation versus environmental filters on bryophyte assemblages-Multiple perspective studies in land-bridge islands. Ecol Evol 2023; 13:e9844. [PMID: 36844668 PMCID: PMC9951200 DOI: 10.1002/ece3.9844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 01/25/2023] [Accepted: 02/03/2023] [Indexed: 02/28/2023] Open
Abstract
To explore the taxon-dependent contribution of dispersal limitation versus environmental filters to bryophyte assemblages. We investigated bryophytes and six environmental variables on 168 islands in the Thousand Island Lake,China. We compared the observed beta diversity with the expected values based on six null models (EE, EF, FE, FF, PE, and PF), detected the partial correlation of beta diversity with geographical distances. We quantified the contributions of spatial versus environmental variables and island isolation per se to species composition (SC) using variance partitioning. We modeled the species-area relationships (SARs) for bryophytes and the other eight biotas. To explore the taxon-dependent effects of spatial versus environmental filters on bryophytes, 16 taxa including five categories (total bryophytes, total mosses, liverworts, acrocarpous, and pleurocarpous mosses) and 11 species-richest families were included in the analyses. The observed beta diversity values were significantly different from the predicted values for all 16 taxa. For all five categories, the observed partial correlations between beta diversity and geographical distance after controlling environmental effects were not only positive, but also significantly different from the predicted values based on the null models. Spatial eigenvectors are more important in shaping SC than environmental variables for all 16 taxa except Brachytheciaceae and Anomodontaceae. Spatial eigenvectors contributed more to SC variation in liverworts than in mosses and in pleurocarpous mosses than in acrocarpous mosses. The effects of island isolation on SC were significant for all five categories, highly varied at the family level. The z values of the SARs for the five bryophyte categories were all larger than those of the other eight biotas. In subtropical fragmented forests, dispersal limitation exerted significant, taxon-dependent effects on bryophyte assemblages. It was dispersal limitation rather than environmental filtering that predominantly regulated the SC patterns of bryophytes.
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Affiliation(s)
- Dandan Li
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Feng Zhang
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Guangyu Luo
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Ting Zhang
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Jinqiao Lv
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Wenchao Wang
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Jun Yang
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Dejun You
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Nanlong Xu
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Shuiliang Guo
- College of Life SciencesShanghai Normal UniversityShanghaiChina
| | - Jing Yu
- College of Life SciencesShanghai Normal UniversityShanghaiChina
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4
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Riva F, Fahrig L. The disproportionately high value of small patches for biodiversity conservation. Conserv Lett 2022. [DOI: 10.1111/conl.12881] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Affiliation(s)
- Federico Riva
- Geomatics and Landscape Ecology Laboratory, Department of Biology Carleton University Ottawa Ontario Canada
- Insectarium, Montreal Space For Life Museum, Montreal Quebec Canada
| | - Lenore Fahrig
- Geomatics and Landscape Ecology Laboratory, Department of Biology Carleton University Ottawa Ontario Canada
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Fahrig L, Watling JI, Arnillas CA, Arroyo-Rodríguez V, Jörger-Hickfang T, Müller J, Pereira HM, Riva F, Rösch V, Seibold S, Tscharntke T, May F. Resolving the SLOSS dilemma for biodiversity conservation: a research agenda. Biol Rev Camb Philos Soc 2021; 97:99-114. [PMID: 34453405 PMCID: PMC9290967 DOI: 10.1111/brv.12792] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 08/16/2021] [Accepted: 08/18/2021] [Indexed: 11/29/2022]
Abstract
The legacy of the 'SL > SS principle', that a single or a few large habitat patches (SL) conserve more species than several small patches (SS), is evident in decisions to protect large patches while down-weighting small ones. However, empirical support for this principle is lacking, and most studies find either no difference or the opposite pattern (SS > SL). To resolve this dilemma, we propose a research agenda by asking, 'are there consistent, empirically demonstrated conditions leading to SL > SS?' We first review and summarize 'single large or several small' (SLOSS) theory and predictions. We found that most predictions of SL > SS assume that between-patch variation in extinction rate dominates the outcome of the extinction-colonization dynamic. This is predicted to occur when populations in separate patches are largely independent of each other due to low between-patch movements, and when species differ in minimum patch size requirements, leading to strong nestedness in species composition along the patch size gradient. However, even when between-patch variation in extinction rate dominates the outcome of the extinction-colonization dynamic, theory can predict SS > SL. This occurs if extinctions are caused by antagonistic species interactions or disturbances, leading to spreading-of-risk of landscape-scale extinction across SS. SS > SL is also predicted when variation in colonization dominates the outcome of the extinction-colonization dynamic, due to higher immigration rates for SS than SL, and larger species pools in proximity to SS than SL. Theory that considers change in species composition among patches also predicts SS > SL because of higher beta diversity across SS than SL. This results mainly from greater environmental heterogeneity in SS due to greater variation in micro-habitats within and across SS habitat patches ('across-habitat heterogeneity'), and/or more heterogeneous successional trajectories across SS than SL. Based on our review of the relevant theory, we develop the 'SLOSS cube hypothesis', where the combination of three variables - between-patch movement, the role of spreading-of-risk in landscape-scale population persistence, and across-habitat heterogeneity - predict the SLOSS outcome. We use the SLOSS cube hypothesis and existing SLOSS empirical evidence, to predict SL > SS only when all of the following are true: low between-patch movement, low importance of spreading-of-risk for landscape-scale population persistence, and low across-habitat heterogeneity. Testing this prediction will be challenging, as it will require many studies of species groups and regions where these conditions hold. Each such study would compare gamma diversity across multiple landscapes varying in number and sizes of patches. If the prediction is not generally supported across such tests, then the mechanisms leading to SL > SS are extremely rare in nature and the SL > SS principle should be abandoned.
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Affiliation(s)
- Lenore Fahrig
- Geomatics and Landscape Ecology Laboratory, Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada
| | - James I Watling
- John Carroll University, 1 John Carroll Blvd., University Heights, OH, U.S.A
| | | | - Víctor Arroyo-Rodríguez
- Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autonoma de Mexico, Antigua Carretera a Patzcuaro No. 8701, Ex-Hacienda de San Jose de la Huerta, 58190, Morelia, Michoacan, Mexico.,Escuela Nacional de Estudios Superiores, Universidad Nacional Autonoma de Mexico, Tablaje Catastral No. 6998, Carretera Merida-Tetiz km 4.5, Municipio de Ucu, 97357, Merida, Yucatan, Mexico
| | - Theresa Jörger-Hickfang
- German Centre for Integrative Biodiversity Research (Halle-Jena-Leipzig), Deutscher Platz 5e, 04103, Leipzig, Germany.,Institute of Biology, Martin Luther University, Halle-Wittenberg, Am Kirchtor 1, 06108, Halle (Saale), Germany
| | - Jörg Müller
- University of Würzburg, Sanderring 2, 97070, Würzburg, Germany.,Bavarian Forest National Park, Freyunger Str. 2, 94481, Grafenau, Germany
| | - Henrique M Pereira
- German Centre for Integrative Biodiversity Research (Halle-Jena-Leipzig), Deutscher Platz 5e, 04103, Leipzig, Germany
| | - Federico Riva
- Geomatics and Landscape Ecology Laboratory, Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, ON, Canada
| | - Verena Rösch
- Ecosystem Analysis, Institute for Environmental Science, University of Koblenz-Landau, Fortstraße 7, 76829, Landau, Germany
| | - Sebastian Seibold
- Ecosystem Dynamics and Forest Management Research Group, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, 85354, Freising, Germany.,Berchtesgaden National Park, Doktorberg 6, 83471, Berchtesgaden, Germany
| | - Teja Tscharntke
- Agroecology, University of Göttingen, Wilhelmsplatz 1, 37073, Göttingen, Germany
| | - Felix May
- Freie Universität Berlin, Kaiserswerther Str. 16-18, 14195, Berlin, Germany
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Kazes K, Rotem G, Ziv Y. Effects of Vineyards and Olive Plantations on Reptiles in a Mediterranean Agroecosystem. HERPETOLOGICA 2020. [DOI: 10.1655/0018-0831-76.4.414] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Kesem Kazes
- Department of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva, 8410501 Israel
| | - Guy Rotem
- Department of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva, 8410501 Israel
| | - Yaron Ziv
- Department of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva, 8410501 Israel
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7
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Ecosystem decay exacerbates biodiversity loss with habitat loss. Nature 2020; 584:238-243. [DOI: 10.1038/s41586-020-2531-2] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 06/18/2020] [Indexed: 12/12/2022]
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8
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Ziv Y, Davidowitz G. When Landscape Ecology Meets Physiology: Effects of Habitat Fragmentation on Resource Allocation Trade-Offs. Front Ecol Evol 2019. [DOI: 10.3389/fevo.2019.00137] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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9
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Shen TJ, Chen Y. A Bayesian-weighted approach to predicting the number of newly discovered rare species. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2019; 33:444-455. [PMID: 30444017 DOI: 10.1111/cobi.13253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Revised: 07/03/2018] [Accepted: 07/30/2018] [Indexed: 06/09/2023]
Abstract
In natural ecological communities, most species are rare and thus susceptible to extinction. Consequently, the prediction and identification of rare species are of enormous value for conservation purposes. How many newly found species will be rare in the next field survey? We took a Bayesian viewpoint and used observed species abundance information in an ecological sample to develop an accurate way to estimate the number of new rare species (e.g., singletons, doubletons, and tripletons) in an additional unknown sample. A similar method has been developed for incidence-based data sets. Five seminumerical tests (3 abundance cases and 2 incidence cases) showed that our proposed Bayesian-weight estimator accurately predicted the number of new rare species with low relative bias and low relative root mean squared error and, accordingly, high accuracy. Finally, we applied the proposed estimator to 6 conservation-directed empirical data sets (3 abundance cases and 3 incidence cases) and found the prediction of new rare species was quite accurate; the 95% CI covered the true observed value very well in most cases. Our estimator performed similarly to or better than an unweighted estimator derived from Chao et al. and performed consistently better than the naïve unweighted estimator. We recommend our Bayesian-weight estimator for conservation applications, although the unweighted estimator of Chao et al. may be better under some circumstances. We provide an R package RSE (rare species estimation) at https://github.com/ecomol/RSE for implementation of the estimators.
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Affiliation(s)
- Tsung-Jen Shen
- Institute of Statistics & Department of Applied Mathematics, National Chung Hsing University, 250 Kuo Kuang Road, Taichung 40227, Taiwan
| | - Youhua Chen
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China
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10
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Deane DC, He F. Loss of only the smallest patches will reduce species diversity in most discrete habitat networks. GLOBAL CHANGE BIOLOGY 2018; 24:5802-5814. [PMID: 30238565 DOI: 10.1111/gcb.14452] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Revised: 08/04/2018] [Accepted: 09/10/2018] [Indexed: 06/08/2023]
Abstract
Under many global-change scenarios, small habitat patches are the most vulnerable to destruction. For example, smaller ponds are at greater risk in a drying climate and their loss would remove any obligate aquatic individuals present. We asked what proportional loss of species diversity from metacommunities comprised of discrete habitat patches should be expected from attrition (complete loss) of only the smallest patches under such a premise. We analyzed 175 published datasets for different taxonomic groups (vertebrates, invertebrates, and plants) and habitat types (islands, habitat islands, and fragments). We simulated the destruction of only the smallest patches to an approximate 20% of total area (range: 15.2%-24.2%) and analyzed species loss. Mean [± 95% CI] species loss was 12.7% [10.8, 14.6], although 18.3% of datasets lost no species. Four broad patterns of species loss were evident, reflecting underlying differences in minimum area requirements and the degree of species turnover among patches. Regression modeling showed species loss increased with greater species turnover among patches (βSIM ) and decreased with greater area scaling of diversity (i.e., larger power-law island species-area relationship exponents). Losses also increased with greater numbers of single-patch endemics and with increasing proportions of patches destroyed. After accounting for these predictors, neither taxonomic group nor habitat type increased explained variation in species loss. Attrition of the smallest patches removed species in >80% of metacommunities, despite all larger patches and >75% of total area remaining intact. At both 10% and 20% area reduction, median species loss across all datasets was around 50% higher than predicted from methods based on the species-area relationship. We conclude that any mechanism of global change that selectively destroys small habitat patches will lead to imminent extinctions in most discrete metacommunities.
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Affiliation(s)
- David C Deane
- Department of Renewable Resources, University of Alberta, Edmonton, Alberta, Canada
| | - Fangliang He
- Department of Renewable Resources, University of Alberta, Edmonton, Alberta, Canada
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11
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Bueno AS, Dantas SM, Henriques LMP, Peres CA. Ecological traits modulate bird species responses to forest fragmentation in an Amazonian anthropogenic archipelago. DIVERS DISTRIB 2018. [DOI: 10.1111/ddi.12689] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Anderson Saldanha Bueno
- School of Environmental Sciences; University of East Anglia; Norwich Norfolk United Kingdom
- Instituto Federal de Educação; Ciência e Tecnologia Farroupilha; Júlio de Castilhos Brazil
| | | | | | - Carlos A. Peres
- School of Environmental Sciences; University of East Anglia; Norwich Norfolk United Kingdom
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12
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Decoupling habitat fragmentation from habitat loss: butterfly species mobility obscures fragmentation effects in a naturally fragmented landscape of lake islands. Oecologia 2017; 186:11-27. [DOI: 10.1007/s00442-017-4005-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2017] [Accepted: 11/07/2017] [Indexed: 10/18/2022]
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13
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Gavish Y, Ziv Y. Joint Effect of Habitat Identity and Spatial Distance on Spiders' Community Similarity in a Fragmented Transition Zone. PLoS One 2016; 11:e0168417. [PMID: 28033386 PMCID: PMC5199073 DOI: 10.1371/journal.pone.0168417] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 11/30/2016] [Indexed: 11/29/2022] Open
Abstract
Understanding the main processes that affect community similarity have been the focus of much ecological research. However, the relative effects of environmental and spatial aspects in structuring ecological communities is still unresolved and is probably scale-dependent. Here, we examine the effect of habitat identity and spatial distance on fine-grained community similarity within a biogeographic transition zone. We compared four hypotheses: i) habitat identity alone, ii) spatial proximity alone, iii) non-interactive effects of both habitat identity and spatial proximity, and iv) interactive effect of habitat identity and spatial proximity. We explored these hypotheses for spiders in three fragmented landscapes located along the sharp climatic gradient of Southern Judea Lowlands (SJL), Israel. We sampled 14,854 spiders (from 199 species or morphospecies) in 644 samples, taken in 35 patches and stratified to nine different habitats. We calculated the Bray-Curtis similarity between all samples-pairs. We divided the pairwise values to four functional distance categories (same patch, different patches from the same landscape, adjacent landscapes and distant landscapes) and two habitat categories (same or different habitats) and compared them using non-parametric MANOVA. A significant interaction between habitat identity and spatial distance was found, such that the difference in mean similarity between same-habitat pairs and different-habitat pairs decreases with spatial distance. Additionally, community similarity decayed with spatial distance. Furthermore, at all distances, same-habitat pairs had higher similarity than different-habitats pairs. Our results support the fourth hypothesis of interactive effect of habitat identity and spatial proximity. We suggest that the environmental complexity of habitats or increased habitat specificity of species near the edge of their distribution range may explain this pattern. Thus, in transitions zones care should be taken when using habitats as surrogate of community composition in conservation planning since similar habitats in different locations are more likely to support different communities.
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Affiliation(s)
- Yoni Gavish
- Spatial Ecology Lab, Department of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
- * E-mail:
| | - Yaron Ziv
- Spatial Ecology Lab, Department of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
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14
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Combined effects of climatic gradient and domestic livestock grazing on reptile community structure in a heterogeneous agroecosystem. Oecologia 2015; 180:231-42. [PMID: 26350785 DOI: 10.1007/s00442-015-3435-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 08/26/2015] [Indexed: 10/23/2022]
Abstract
Grazing plays an important role in shaping ecological communities in human-related ecosystems. Although myriad studies have explored the joint effect of grazing and climate on plant communities, this interactive effect has rarely been studied in animals. We hypothesized that the effect of grazing on the reptile community varies along a climatic gradient in relation to the effect of grazing on habitat characteristics, and that grazing differentially affects reptiles of different biogeographic regions. We tested our hypotheses by collecting data on environmental characteristics and by trapping reptiles in four heterogeneous landscapes experiencing differing grazing intensities and distributed along a sharp climatic gradient. We found that while reptile diversity increased with grazing intensity at the mesic end of the gradient, it decreased with grazing intensity at the arid end. Moreover, the proportion of reptile species of differing biogeographic origins varied with the interactive effect of climate and grazing. The representation of species originating in arid biogeographic zones was highest at the arid end of the climatic gradient, and representation increased with grazing intensity within this area. Regardless of the climatic context, increased grazing pressure results in a reduction in vegetation cover and thus in changes in habitat characteristics. By reducing vegetation cover, grazing increased habitat heterogeneity in the dense mesic sites and decreased habitat heterogeneity in the arid sites. Thus, our results suggest that the same direction of habitat alteration caused by grazing may have opposite effects on biodiversity and community composition in different climatic contexts.
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15
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Zhang X, Shi MM, Shen DW, Chen XY. Habitat loss other than fragmentation per se decreased nuclear and chloroplast genetic diversity in a monoecious tree. PLoS One 2012; 7:e39146. [PMID: 22723951 PMCID: PMC3377594 DOI: 10.1371/journal.pone.0039146] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2011] [Accepted: 05/19/2012] [Indexed: 11/22/2022] Open
Abstract
Generally, effect of fragmentation per se on biodiversity has not been separated from the effect of habitat loss. In this paper, using nDNA and cpDNA SSRs, we studied genetic diversity of Castanopsis sclerophylla (Lindl. & Paxton) Schotty populations and decoupled the effects of habitat loss and fragmentation per se. We selected seven nuclear and six cpDNA microsatellite loci and genotyped 460 individuals from mainland and island populations, which were located in the impoundment created in 1959. Number of alleles per locus of populations in larger habitats was significantly higher than that in smaller habitats. There was a significant relationship between the number of alleles per locus and habitat size. Based on this relationship, the predicted genetic diversity of an imaginary population of size equaling the total area of the islands was lower than that of the global population on the islands. Re-sampling demonstrated that low genetic diversity of populations in small habitats was caused by unevenness in sample size. Fisher's α index was similar among habitat types. These results indicate that the decreased nuclear and chloroplast genetic diversity of populations in smaller habitats was mainly caused by habitat loss. For nuclear and chloroplast microsatellite loci, values of FST were 0.066 and 0.893, respectively, and the calculated pollen/seed dispersal ratio was 162.2. When separated into pre-and post-fragmentation cohorts, pollen/seed ratios were 121.2 and 189.5, respectively. Our results suggest that habitat loss explains the early decrease in genetic diversity, while fragmentation per se may play a major role in inbreeding and differentiation among fragmented populations and later loss of genetic diversity.
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Affiliation(s)
- Xin Zhang
- School of Resources and Environmental Sciences, Tiantong National Observation Station for Forest Ecosystems, East China Normal University, Shanghai, China
- South China Botanical Garden, China Academy of Sciences, Guangzhou, China
| | - Miao-Miao Shi
- School of Resources and Environmental Sciences, Tiantong National Observation Station for Forest Ecosystems, East China Normal University, Shanghai, China
- Department of Community Ecology, Helmholtz Centre for Environmental Research–UFZ, Halle, Germany
| | - Dong-Wei Shen
- School of Resources and Environmental Sciences, Tiantong National Observation Station for Forest Ecosystems, East China Normal University, Shanghai, China
| | - Xiao-Yong Chen
- School of Resources and Environmental Sciences, Tiantong National Observation Station for Forest Ecosystems, East China Normal University, Shanghai, China
- * E-mail:
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