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      Micro‐ or macroscale? Which one best predicts the establishment of an endemic Atlantic Forest palm?

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          Abstract

          Historically, macroecology and microecology have diverged with regard to the niche concept. A better understanding of functioning ecological systems, however, depends on an integrative approach to this concept at different spatial scales. A mixed approach, merging macro‐ and microscale by validating ecological niche modeling (ENM) with the results of in situ experiments and environmental data collection was used to understand if areas identified by ENM as highly suitable for adult palms are also adequate for seedling establishment. Syagrus weddelliana's (Arecaceae) distribution range falls within the Atlantic Rain Forest, and more specifically Serra dos Órgãos region (Rio de Janeiro state), southeastern Brazil. The following steps were performed: (a) ENM to delimit the area of occurrence of S. weddelliana and locate experimental areas; (b) a seed sowing experiment in areas with presence or absence of the species in areas of high or low environmental suitability at 36 experimental stations; and (c) characterization of each microhabitat which was related back to the macroscale results of ENM. Evidence of biotic and abiotic limitations was found for S. weddelliana distribution. Areas of higher suitability had lower seed predation rates and, consequently, higher seed germination rates. On the other hand, areas with low environmental suitability at the macroscale were divided into two types: areas with microhabitat similar to that of areas with high environmental suitability that had some germination despite high predation and areas with different environmental conditions that had no germination and high predation rates. Seedlings and adults had different abiotic requirements. Microhabitat conditions were more important for the initial establishment of S. weddelliana than macroclimatic variables. This finding demonstrates that macro‐ and microecological information works in a complementary way to a better understanding of the distribution of S. weddelliana.

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          Niches, models, and climate change: assessing the assumptions and uncertainties.

          As the rate and magnitude of climate change accelerate, understanding the consequences becomes increasingly important. Species distribution models (SDMs) based on current ecological niche constraints are used to project future species distributions. These models contain assumptions that add to the uncertainty in model projections stemming from the structure of the models, the algorithms used to translate niche associations into distributional probabilities, the quality and quantity of data, and mismatches between the scales of modeling and data. We illustrate the application of SDMs using two climate models and two distributional algorithms, together with information on distributional shifts in vegetation types, to project fine-scale future distributions of 60 California landbird species. Most species are projected to decrease in distribution by 2070. Changes in total species richness vary over the state, with large losses of species in some "hotspots" of vulnerability. Differences in distributional shifts among species will change species co-occurrences, creating spatial variation in similarities between current and future assemblages. We use these analyses to consider how assumptions can be addressed and uncertainties reduced. SDMs can provide a useful way to incorporate future conditions into conservation and management practices and decisions, but the uncertainties of model projections must be balanced with the risks of taking the wrong actions or the costs of inaction. Doing this will require that the sources and magnitudes of uncertainty are documented, and that conservationists and resource managers be willing to act despite the uncertainties. The alternative, of ignoring the future, is not an option.
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            Evaluating predictive models of species’ distributions: criteria for selecting optimal models

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              Disproportional risk for habitat loss of high-altitude endemic species under climate change

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                Author and article information

                Contributors
                gbakemi@uol.com.br
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                02 June 2019
                June 2019
                : 9
                : 12 ( doiID: 10.1002/ece3.2019.9.issue-12 )
                : 7284-7290
                Affiliations
                [ 1 ] Botanical Garden Research Institute of Rio de Janeiro – JBRJ Rio de Janeiro Brazil
                [ 2 ] Department of Environmental Sciences, Forestry Institute Federal Rural University of Rio de Janeiro – UFRRJ Seropédica Brazil
                [ 3 ] Department of Ecology, Institute of Biology Federal University of Rio de Janeiro ‐ UFRJ Rio de Janeiro Brazil
                [ 4 ]Present address: Department of Environmental Sciences, Forestry Institute Federal Rural University of Rio de Janeiro – UFR BR465, Km7, 23897‐970 Seropédica RJ Brazil
                Author notes
                [*] [* ] Correspondence

                Gabriela Akemi Macedo Oda, Botanical Garden Research Institute of Rio de Janeiro – JBRJ, Rio de Janeiro, RJ, Brazil.

                Email: gbakemi@ 123456uol.com.br

                Author information
                https://orcid.org/0000-0003-3763-5539
                Article
                ECE35300
                10.1002/ece3.5300
                6662419
                14dde04d-0812-4651-aae8-b097f3c6c05d
                © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 December 2018
                : 26 April 2019
                : 02 May 2019
                Page count
                Figures: 4, Tables: 1, Pages: 7, Words: 5061
                Funding
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico
                Award ID: 480218/2010-2
                Funded by: Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
                Award ID: E-26/111546/2010
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece35300
                June 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.6.2 mode:remove_FC converted:29.07.2019

                Evolutionary Biology
                ecological niche modeling,germination,predation,regeneration ecology,sowing experiment,syagrus weddelliana

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