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Acevedo S, Sandel B. Phylogenetic Endemism Hotspots of North American Birds Are Associated With Warm Temperatures and Long- and Short-Term Climate Stability. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.645396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Human activities have dramatically altered the distribution and abundance of species, and our impacts are likely to increase in the near future. Conservation efforts are typically faced with scarce resources, forcing us to prioritize areas based in part on estimates of their conservation value. Two major factors in conservation value are a species uniqueness and its extinction risk. Though these ideas are multidimensional, one important component of uniqueness is evolutionary distinctness, while risk is strongly related to geographic range size. These components are combined in an assemblage-level measure called phylogenetic endemism (PE), which measures the degree to which the species in an assemblage are small-ranged and phylogenetically distinct. Broad-scale patterns and correlates of PE are becoming better known for a variety of groups, and have been shown to depend on current climate, geographic isolation and long-term climate stability. Human impacts (e.g., land cover changes), are likely to shape PE as well, though the coarse resolution of most previous studies may make this difficult to detect. Overall, PE patterns at fine spatial and temporal resolutions are not well understood. Here, we fill this gap using data from the North American Breeding Bird Survey. These data comprise a long-term annual record with fine spatial resolution and a near-continental extent. We assess geographic patterns and trends in PE, and relate these to a range of putative predictor variables including measures of current climate, land cover, long-term and recent climate change. Bird PE is concentrated in three main hotspots: the west coast, the southeast and south-central Canada east of the Rockies. High PE values tended to occur in regions with high temperatures and stability in temperature, both in the long (21,000 year) and short (35 year) time scales. PE patterns are driven more strongly by patterns of range size than phylogenetic distinctiveness, and are trending gradually upward, driven by increasingly frequent sightings of small-ranged species. These results indicate the importance of climate stability on multiple time scales in influencing endemism patterns and suggest a surprisingly minor influence of direct human land use. The increase in PE through time may reflect successful conservation efforts that have led to population recoveries of some small-ranged species.
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The Effect of Blue-Green Infrastructure on Habitat Connectivity and Biodiversity: A Case Study in the Ōtākaro/Avon River Catchment in Christchurch, New Zealand. SUSTAINABILITY 2021. [DOI: 10.3390/su13126732] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The natural capital components in cities (“blue-green infrastructure” BGI) are designed to address long-term sustainability and create multi-benefits for society, culture, business, and ecology. We investigated the added value of BGI through the research question “Can the implementation of blue-green infrastructure lead to an improvement of habitat connectivity and biodiversity in urban environments?” To answer this, the Biological and Environmental Evaluation Tools for Landscape Ecology (BEETLE) within the Land Utilisation and Capability Indicator (LUCI) framework was adopted and applied in Christchurch, New Zealand, for the first time. Three ecologically representative species were selected. The parameterisation was based on ecological theory and expert judgment. By implementation of BGI, the percentages of habitats of interest for kereru and paradise shelduck increased by 3.3% and 2.5%, respectively. This leads to improved habitat connectivity. We suggest several opportunities for regenerating more native patches around the catchment to achieve the recommended minimum 10% target of indigenous cover. However, BGI alone cannot return a full suite of threatened wildlife to the city without predator-fenced breeding sanctuaries and wider pest control across the matrix. The socio-eco-spatial connectivity analysed in this study was formalised in terms of four interacting dimensions.
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Hu S, Chen L, Li L, Zhang T, Yuan L, Cheng L, Wang J, Wen M. Simulation of Land Use Change and Ecosystem Service Value Dynamics under Ecological Constraints in Anhui Province, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17124228. [PMID: 32545778 PMCID: PMC7344442 DOI: 10.3390/ijerph17124228] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 06/06/2020] [Accepted: 06/11/2020] [Indexed: 11/18/2022]
Abstract
Land use change has a significant impact on the structure and function of ecosystems, and the transformation of ecosystems affects the mode and efficiency of land use, which reflects a mutual interaction relationship. The prediction and simulation of future land use change can enhance the foresight of land use planning, which is of great significance to regional sustainable development. In this study, future land use changes are characterized under an ecological optimization scenario based on the grey prediction (1,1) model (GM) and a future land use simulation (FLUS) model. In addition, the ecosystem service value (ESV) of Anhui Province from 1995 to 2030 were estimated based on the revised estimation model. The results indicate the following details: (1) the FLUS model was used to simulate the land use layout of Anhui Province in 2018, where the overall accuracy of the simulation results is high, indicating that the FLUS model is applicable for simulating future land use change; (2) the spatial layout of land use types in Anhui Province is stable and the cultivated land has the highest proportion. The most significant characteristic of future land use change is that the area of cultivated land continues to decrease while the area of built-up land continues to expand; and (3) the ESV of Anhui Province is predicted to increase in the future. The regulating service is the largest ESV contributor, and water area is the land use type with the highest proportion of ESV. These findings provide reference for the formulation of sustainable development policies of the regional ecological environment.
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Affiliation(s)
- Sai Hu
- School of Construction and Management, Jiangsu Vocational Institute of Architectural Technology, Xueyuan Road 26, Xuzhou 221116, China;
- School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China; (T.Z.); (L.Y.); (L.C.); (J.W.); (M.W.)
| | - Longqian Chen
- School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China; (T.Z.); (L.Y.); (L.C.); (J.W.); (M.W.)
- Correspondence: ; Tel.: +86-516-8359-1327
| | - Long Li
- Department of Geography, Earth System Science, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium;
| | - Ting Zhang
- School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China; (T.Z.); (L.Y.); (L.C.); (J.W.); (M.W.)
| | - Lina Yuan
- School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China; (T.Z.); (L.Y.); (L.C.); (J.W.); (M.W.)
| | - Liang Cheng
- School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China; (T.Z.); (L.Y.); (L.C.); (J.W.); (M.W.)
- College of Yingdong Agricultural Science and Engineering, Shaoguan University, Daxue Road 26, Shaoguan 512005, China
| | - Jia Wang
- School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China; (T.Z.); (L.Y.); (L.C.); (J.W.); (M.W.)
| | - Mingxin Wen
- School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Daxue Road 1, Xuzhou 221116, China; (T.Z.); (L.Y.); (L.C.); (J.W.); (M.W.)
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6
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Penone C, Allan E, Soliveres S, Felipe-Lucia MR, Gossner MM, Seibold S, Simons NK, Schall P, van der Plas F, Manning P, Manzanedo RD, Boch S, Prati D, Ammer C, Bauhus J, Buscot F, Ehbrecht M, Goldmann K, Jung K, Müller J, Müller JC, Pena R, Polle A, Renner SC, Ruess L, Schönig I, Schrumpf M, Solly EF, Tschapka M, Weisser WW, Wubet T, Fischer M. Specialisation and diversity of multiple trophic groups are promoted by different forest features. Ecol Lett 2018; 22:170-180. [PMID: 30463104 DOI: 10.1111/ele.13182] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 07/31/2018] [Accepted: 10/10/2018] [Indexed: 12/25/2022]
Abstract
While forest management strongly influences biodiversity, it remains unclear how the structural and compositional changes caused by management affect different community dimensions (e.g. richness, specialisation, abundance or completeness) and how this differs between taxa. We assessed the effects of nine forest features (representing stand structure, heterogeneity and tree composition) on thirteen above- and belowground trophic groups of plants, animals, fungi and bacteria in 150 temperate forest plots differing in their management type. Canopy cover decreased light resources, which increased community specialisation but reduced overall diversity and abundance. Features increasing resource types and diversifying microhabitats (admixing of oaks and conifers) were important and mostly affected richness. Belowground groups responded differently to those aboveground and had weaker responses to most forest features. Our results show that we need to consider forest features rather than broad management types and highlight the importance of considering several groups and community dimensions to better inform conservation.
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Affiliation(s)
- Caterina Penone
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Eric Allan
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | | | | | - Martin M Gossner
- Forest Entomology, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | - Sebastian Seibold
- Chair for Terrestrial Ecology, Department of Ecology and Ecosystem management, Technische Universität München, Freising, Germany
| | - Nadja K Simons
- Chair for Terrestrial Ecology, Department of Ecology and Ecosystem management, Technische Universität München, Freising, Germany
| | - Peter Schall
- Silviculture and Forest Ecology of the temperate Zones, University of Göttingen, Göttingen, Germany
| | - Fons van der Plas
- Systematic Botany and Functional Biodiversity, Institute of Biology, Leipzig University, Leipzig, Germany
| | - Peter Manning
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany
| | - Rubén D Manzanedo
- Harvard Forest, Harvard University, Petersham, MA, USA.,Biology Department, University of Washington, Seattle, WA, USA
| | - Steffen Boch
- Institute of Plant Sciences, University of Bern, Bern, Switzerland.,Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | - Daniel Prati
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Christian Ammer
- Silviculture and Forest Ecology of the temperate Zones, University of Göttingen, Göttingen, Germany
| | - Jürgen Bauhus
- Chair of Silviculture, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
| | - François Buscot
- Department of Soil Ecology, UFZ - Helmholtz-Centre for Environmental Research, Halle (Saale), Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Martin Ehbrecht
- Silviculture and Forest Ecology of the temperate Zones, University of Göttingen, Göttingen, Germany
| | - Kezia Goldmann
- Department of Soil Ecology, UFZ - Helmholtz-Centre for Environmental Research, Halle (Saale), Germany
| | - Kirsten Jung
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
| | - Jörg Müller
- Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.,Heinz Sielmann Foundation, Gut Herbigshagen, Duderstadt, Germany
| | - Jörg C Müller
- Field Station Fabrikschleichach, Department of Animal Ecology and Tropical Biology (Zoology III), Julius-Maximilians-University Würzburg, Rauhenebrach, Germany.,Bavarian Forest National Park, Grafenau, Germany
| | - Rodica Pena
- Forest Botany and Tree Physiology, University of Göttingen, Göttingen, Germany
| | - Andrea Polle
- Forest Botany and Tree Physiology, University of Göttingen, Göttingen, Germany
| | - Swen C Renner
- Institute of Zoology, DIB, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Liliane Ruess
- Ecology Group, Institute of Biology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ingo Schönig
- Max-Planck Institute for Biogeochemistry, Jena, Germany
| | | | - Emily F Solly
- Max-Planck Institute for Biogeochemistry, Jena, Germany.,Department of Geography, University of Zurich, Zurich, Switzerland
| | - Marco Tschapka
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany.,Smithsonian Tropical Research Institute, Balboa Ancón, República de Panamá
| | - Wolfgang W Weisser
- Chair for Terrestrial Ecology, Department of Ecology and Ecosystem management, Technische Universität München, Freising, Germany
| | - Tesfaye Wubet
- Department of Soil Ecology, UFZ - Helmholtz-Centre for Environmental Research, Halle (Saale), Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Markus Fischer
- Institute of Plant Sciences, University of Bern, Bern, Switzerland.,Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany
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7
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Pellissier V, Mimet A, Fontaine C, Svenning JC, Couvet D. Relative importance of the land-use composition and intensity for the bird community composition in anthropogenic landscapes. Ecol Evol 2017; 7:10513-10535. [PMID: 29299234 PMCID: PMC5743485 DOI: 10.1002/ece3.3534] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 09/01/2017] [Accepted: 09/16/2017] [Indexed: 11/10/2022] Open
Abstract
Humans are changing the biosphere by exerting pressure on land via different land uses with variable intensities. Quantifying the relative importance of the land-use composition and intensity for communities may provide valuable insights for understanding community dynamics in human-dominated landscapes. Here, we evaluate the relative importance of the land-use composition versus land-use intensity on the bird community structure in the highly human-dominated region surrounding Paris, France. The land-use composition was calculated from a land cover map, whereas the land-use intensity (reverse intensity) was represented by the primary productivity remaining after human appropriation (NPP remaining), which was estimated using remote sensing imagery. We used variance partitioning to evaluate the relative importance of the land-use composition versus intensity for explaining bird community species richness, total abundance, trophic levels, and habitat specialization in urban, farmland, and woodland habitats. The land-use composition and intensity affected specialization and richness more than trophic levels and abundance. The importance of the land-use intensity was slightly higher than that of the composition for richness, specialization, and trophic levels in farmland and urban areas, while the land-use composition was a stronger predictor of abundance. The intensity contributed more to the community indices in anthropogenic habitats (farmland and urban areas) than to those in woodlands. Richness, trophic levels, and specialization in woodlands tended to increase with the NPP remaining value. The heterogeneity of land uses and intensity levels in the landscape consistently promoted species richness but reduced habitat specialization and trophic levels. This study demonstrates the complementarity of NPP remaining to the land-use composition for understanding community structure in anthropogenic landscapes. Our results show, for the first time, that the productivity remaining after human appropriation is a determinant driver of animal community patterns, independent of the type of land use.
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Affiliation(s)
- Vincent Pellissier
- UMR 7204 UPMC-MNHN-CNRS CERSP Muséum National d'Histoire Naturelle Paris France.,Section for EcoInformatics & Biodiversity Department of Bioscience Aarhus University Aarhus Denmark
| | - Anne Mimet
- UMR 7204 UPMC-MNHN-CNRS CERSP Muséum National d'Histoire Naturelle Paris France.,Section for EcoInformatics & Biodiversity Department of Bioscience Aarhus University Aarhus Denmark.,UMR 7533 CNRS- Paris 1- Paris 7- Paris 8- Paris 10, LADYSS Paris France.,Department Computational Landscape Ecology UFZ - Helmholtz Centre for Environmental Research Leipzig Germany.,Biodiversity Conservation Group German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig Leipzig Germany
| | - Colin Fontaine
- UMR 7204 UPMC-MNHN-CNRS CERSP Muséum National d'Histoire Naturelle Paris France
| | - Jens-Christian Svenning
- Section for EcoInformatics & Biodiversity Department of Bioscience Aarhus University Aarhus Denmark
| | - Denis Couvet
- UMR 7204 UPMC-MNHN-CNRS CERSP Muséum National d'Histoire Naturelle Paris France
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