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Häkkinen H, Petrovan SO, Sutherland WJ, Pettorelli N. Terrestrial or marine species distribution model: Why not both? A case study with seabirds. Ecol Evol 2021; 11:16634-16646. [PMID: 34938462 PMCID: PMC8668722 DOI: 10.1002/ece3.8272] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/20/2021] [Accepted: 10/05/2021] [Indexed: 11/23/2022] Open
Abstract
Species reliant on both the terrestrial and marine realms present a challenge for conventional species distribution models (SDMs). For such species, standard single-realm SDMs may omit key information that could result in decreased model accuracy and performance. Existing approaches to habitat suitability modeling typically do not effectively combine information from multiple realms; this methodological gap can ultimately hamper management efforts for groups such as seabirds, seals, and turtles. This study, for the first time, jointly incorporates both terrestrial information and marine information into a single species distribution model framework. We do this by sampling nearby marine conditions for a given terrestrial point and vice versa using parameters set by each species' mean maximum foraging distance and then use standard SDM methods to generate habitat suitability predictions; therefore, our method does not rely on post hoc combination of several different models. Using three seabird species with very different ecologies, we investigate whether this new multi-realm approach can improve our ability to identify suitable habitats for these species. Results show that incorporating terrestrial information into marine SDMs, or vice versa, generally improves model performance, sometimes drastically. However, there is considerable variability between species in the level of improvement as well as in the particular method that produces the most improvement. Our approach provides a repeatable and transparent method to combine information from multiple ecological realms in a single SDM framework. Important advantages over existing solutions include the opportunity to, firstly, easily combine terrestrial and marine information for species that forage large distances inland or out to sea and, secondly, consider interactions between terrestrial and marine variables.
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Affiliation(s)
- Henry Häkkinen
- Institute of ZoologyZoological Society of LondonLondonUK
| | | | - William J. Sutherland
- Department of ZoologyCambridge UniversityCambridgeUK
- BioRISC (Biosecurity Research Initiative at St Catharine’s)St Catharine’s CollegeCambridgeUK
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Faria L, Pie M, Salles F, Soares E. The Haeckelian shortfall or the tale of the missing semaphoronts. J ZOOL SYST EVOL RES 2020. [DOI: 10.1111/jzs.12435] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Luiz Faria
- Instituto Latino‐Americano de Ciências da Vida e da NaturezaUniversidade Federal da Integração Latino‐Americana Foz do Iguaçu Brazil
| | - Marcio Pie
- Departamento de Zoologia Universidade Federal do Paraná Curitiba Brazil
| | - Frederico Salles
- Departamento de Entomologia Universidade Federal de Viçosa Viçosa Brazil
| | - Elaine Soares
- Instituto Latino‐Americano de Ciências da Vida e da NaturezaUniversidade Federal da Integração Latino‐Americana Foz do Iguaçu Brazil
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Baldan D, Piniewski M, Funk A, Gumpinger C, Flödl P, Höfer S, Hauer C, Hein T. A multi-scale, integrative modeling framework for setting conservation priorities at the catchment scale for the Freshwater Pearl Mussel Margaritifera margaritifera. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 718:137369. [PMID: 32109815 DOI: 10.1016/j.scitotenv.2020.137369] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 02/11/2020] [Accepted: 02/15/2020] [Indexed: 06/10/2023]
Abstract
The identification and prioritization of sites for conservation actions to protect biodiversity in lotic systems is crucial when economic resources or available areas are limited. Challenges include the incorporation of multi-scale interactions, and the application of species distribution models (SDMs) to rare organism with multiple life stages. To support the planning of conservation actions for the highly endangered Freshwater Pearl Mussel Margaritifera margaritifera (FPM), this paper aims at developing an ecohydrological modeling cascade including a hydrological model (SWAT) and a hydraulic model (HEC-RAS). Building on hydrology and hydraulics, Random Forest models for potential risk to juveniles due to sand accumulation, SDMs for adults habitat niche, and a landscape connectivity assessment of dispersal potential were developed. The feasibility of such models integration was tested in the Aist catchment (630 km2) in Austria. The potential FPM habitat and the sand accumulation risk for the whole catchment were predicted with good accuracy. Results show that while the potentially suitable habitats for adults FPM cover 34% of the river network, only few habitat patches can maximize the dispersal potential (4% of the river network) and even less are showing limited impact of accumulations (3.5% of river network). No habitat patch that meets all the three criteria is available, suggesting approaches that target the patch-specific critical life stage-factors are promising for conservation.
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Affiliation(s)
- Damiano Baldan
- University of Natural Resources and Life Sciences, Vienna, Institute of Hydrobiology and Aquatic Ecosystem Management, Gregor Mendel Straße 33, 1180 Vienna, Austria; WasserClusterLunz - Biologische Station GmbH, Dr. Carl Kupelwieser Promenade 5, 3293 Lunz am See, Austria.
| | - Mikolaj Piniewski
- Institute of Environmental Engineering, Warsaw University of Life Sciences, 02-787 Warsaw, Poland
| | - Andrea Funk
- University of Natural Resources and Life Sciences, Vienna, Institute of Hydrobiology and Aquatic Ecosystem Management, Gregor Mendel Straße 33, 1180 Vienna, Austria; WasserClusterLunz - Biologische Station GmbH, Dr. Carl Kupelwieser Promenade 5, 3293 Lunz am See, Austria
| | - Clemens Gumpinger
- Consultants in Aquatic Ecology and Engineering, Blattfisch e.U., Gabelsbergerstraße 7, 4600 Wels, Austria
| | - Peter Flödl
- Christian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences, Vienna, Institute of Hydraulic Engineering and River Research, Muthgasse 107, 1190 Vienna, Austria
| | - Sarah Höfer
- Consultants in Aquatic Ecology and Engineering, Blattfisch e.U., Gabelsbergerstraße 7, 4600 Wels, Austria; Christian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences, Vienna, Institute of Hydraulic Engineering and River Research, Muthgasse 107, 1190 Vienna, Austria
| | - Christoph Hauer
- Christian Doppler Laboratory for Sediment Research and Management, University of Natural Resources and Life Sciences, Vienna, Institute of Hydraulic Engineering and River Research, Muthgasse 107, 1190 Vienna, Austria
| | - Thomas Hein
- University of Natural Resources and Life Sciences, Vienna, Institute of Hydrobiology and Aquatic Ecosystem Management, Gregor Mendel Straße 33, 1180 Vienna, Austria; WasserClusterLunz - Biologische Station GmbH, Dr. Carl Kupelwieser Promenade 5, 3293 Lunz am See, Austria.
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Frans VF, Augé AA, Edelhoff H, Erasmi S, Balkenhol N, Engler JO. Quantifying apart what belongs together: A multi‐state species distribution modelling framework for species using distinct habitats. Methods Ecol Evol 2017. [DOI: 10.1111/2041-210x.12847] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Veronica F. Frans
- Department of Wildlife SciencesUniversity of Göttingen Göttingen Germany
- Workgroup on Endangered SpeciesUniversity of Göttingen Göttingen Germany
| | - Amélie A. Augé
- School of SurveyingUniversity of Otago Dunedin New Zealand
- ARC Center of Excellence for Coral Reef StudiesJames Cook University Townsville Australia
| | - Hendrik Edelhoff
- Department of Wildlife SciencesUniversity of Göttingen Göttingen Germany
| | - Stefan Erasmi
- Institute of GeographyUniversity of Göttingen Göttingen Germany
| | - Niko Balkenhol
- Department of Wildlife SciencesUniversity of Göttingen Göttingen Germany
| | - Jan O. Engler
- Department of Wildlife SciencesUniversity of Göttingen Göttingen Germany
- Zoological Research Museum Alexander Koenig Bonn Germany
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Assis J, Berecibar E, Claro B, Alberto F, Reed D, Raimondi P, Serrão EA. Major shifts at the range edge of marine forests: the combined effects of climate changes and limited dispersal. Sci Rep 2017; 7:44348. [PMID: 28276501 PMCID: PMC5343584 DOI: 10.1038/srep44348] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 02/08/2017] [Indexed: 11/09/2022] Open
Abstract
Global climate change is likely to constrain low latitude range edges across many taxa and habitats. Such is the case for NE Atlantic marine macroalgal forests, important ecosystems whose main structuring species is the annual kelp Saccorhiza polyschides. We coupled ecological niche modelling with simulations of potential dispersal and delayed development stages to infer the major forces shaping range edges and to predict their dynamics. Models indicated that the southern limit is set by high winter temperatures above the physiological tolerance of overwintering microscopic stages and reduced upwelling during recruitment. The best range predictions were achieved assuming low spatial dispersal (5 km) and delayed stages up to two years (temporal dispersal). Reconstructing distributions through time indicated losses of ~30% from 1986 to 2014, restricting S. polyschides to upwelling regions at the southern edge. Future predictions further restrict populations to a unique refugium in northwestern Iberia. Losses were dependent on the emissions scenario, with the most drastic one shifting ~38% of the current distribution by 2100. Such distributional changes might not be rescued by dispersal in space or time (as shown for the recent past) and are expected to drive major biodiversity loss and changes in ecosystem functioning.
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Affiliation(s)
- J. Assis
- CCMAR, Centro de Ciências do Mar, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal
| | - E. Berecibar
- Estrutura de Missão para a Extensão da Plataforma Continental (EMEPC), Rua Costa Pinto 165, 2770-042, Paço de Arcos, Portugal
| | - B. Claro
- CCMAR, Centro de Ciências do Mar, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal
| | - F. Alberto
- Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53201, USA
| | - D. Reed
- Marine Science Institute, University of California, Santa Barbara, California 93106, USA
| | - P. Raimondi
- Department of Biology, University of California, Santa Cruz, California 95064, USA
| | - E. A. Serrão
- CCMAR, Centro de Ciências do Mar, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal
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Zurell D, Zimmermann NE, Sattler T, Nobis MP, Schröder B. Effects of functional traits on the prediction accuracy of species richness models. DIVERS DISTRIB 2016. [DOI: 10.1111/ddi.12450] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Damaris Zurell
- Dynamic Macroecology; Landscape Dynamics; Swiss Federal Research Institute WSL; Zürcherstrasse 111 CH-8903 Birmensdorf Switzerland
| | - Niklaus E. Zimmermann
- Dynamic Macroecology; Landscape Dynamics; Swiss Federal Research Institute WSL; Zürcherstrasse 111 CH-8903 Birmensdorf Switzerland
- Department of Environmental Systems Science; Swiss Federal Institute of Technology ETH; CH-8092 Zürich Switzerland
| | - Thomas Sattler
- Swiss Ornithological Institute; Seerose 1 CH-6204 Sempach Switzerland
| | - Michael P. Nobis
- Dynamic Macroecology; Landscape Dynamics; Swiss Federal Research Institute WSL; Zürcherstrasse 111 CH-8903 Birmensdorf Switzerland
| | - Boris Schröder
- Environmental Systems Analysis; Institute of Geoecology; Technische Universität Braunschweig; Langer Kamp 19c D-38106 Braunschweig Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB); D-14195 Berlin Germany
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