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      Multi-temporal ecological niche modeling for bird conservation in the face of climate change scenarios in Caatinga, Brazil

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          Abstract

          Background

          Global shifts in climatic patterns have been recorded over the last decades. Such modifications mainly correspond to increased temperatures and rainfall regime changes, which are becoming more variable and extreme.

          Methods

          We aimed to evaluate the impact of future changes in climatic patterns on the distribution of 19 endemic or threatened bird taxa of the Caatinga. We assessed whether current protected areas (PAs) are adequate and whether they will maintain their effectiveness in the future. Also, we identified climatically stable areas that might work as refugia for an array of species.

          Results

          We observed that 84% and 87% of the bird species of Caatinga analyzed in this study will face high area losses in their predicted range distribution areas in future scenarios (RCP4.5 and RCP8.5, respectively). We also observed that the current PAs in Caatinga are ineffective in protecting these species in both present and future scenarios, even when considering all protection area categories. However, several suitable areas can still be allocated for conservation, where there are vegetation remnants and a high amount of species. Therefore, our study paves a path for conservation actions to mitigate current and future extinctions due to climate change by choosing more suitable protection areas.

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          Most cited references146

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          Very high resolution interpolated climate surfaces for global land areas

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            A globally coherent fingerprint of climate change impacts across natural systems.

            Causal attribution of recent biological trends to climate change is complicated because non-climatic influences dominate local, short-term biological changes. Any underlying signal from climate change is likely to be revealed by analyses that seek systematic trends across diverse species and geographic regions; however, debates within the Intergovernmental Panel on Climate Change (IPCC) reveal several definitions of a 'systematic trend'. Here, we explore these differences, apply diverse analyses to more than 1,700 species, and show that recent biological trends match climate change predictions. Global meta-analyses documented significant range shifts averaging 6.1 km per decade towards the poles (or metres per decade upward), and significant mean advancement of spring events by 2.3 days per decade. We define a diagnostic fingerprint of temporal and spatial 'sign-switching' responses uniquely predicted by twentieth century climate trends. Among appropriate long-term/large-scale/multi-species data sets, this diagnostic fingerprint was found for 279 species. This suite of analyses generates 'very high confidence' (as laid down by the IPCC) that climate change is already affecting living systems.
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              Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being

              Distributions of Earth's species are changing at accelerating rates, increasingly driven by human-mediated climate change. Such changes are already altering the composition of ecological communities, but beyond conservation of natural systems, how and why does this matter? We review evidence that climate-driven species redistribution at regional to global scales affects ecosystem functioning, human well-being, and the dynamics of climate change itself. Production of natural resources required for food security, patterns of disease transmission, and processes of carbon sequestration are all altered by changes in species distribution. Consideration of these effects of biodiversity redistribution is critical yet lacking in most mitigation and adaptation strategies, including the United Nation's Sustainable Development Goals.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                27 February 2023
                2023
                : 11
                : e14882
                Affiliations
                [1 ]Laboratório de Biogeografia da Conservação e Macroecologia, Universidade Federal do Pará , Belém, Brazil
                [2 ]Departamento de Biologia, Instituto Federal Goiano , Urutaí, Goiás, Brazil
                [3 ]Instituto de Ciências Biológicas, Universidade Federal de Goiás , Goiânia, Goiás, Brazil
                Article
                14882
                10.7717/peerj.14882
                9979838
                36874965
                4506461b-593d-446f-9af3-2454c20dfdd9
                ©2023 Gonçalves et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 21 November 2022
                : 20 January 2023
                Funding
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES)
                Award ID: 001
                Funded by: Pró-Reitoria de Pesquisa de Pós-Graduação (PROPESP/UFPA)
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
                Award ID: 165174/2020-0
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico
                Award ID: 304494/2019-4
                Funded by: Federal University of Pará (UFPA-PROPESP-PAPQ 01/2020-Qualified Publication Support Program
                Gabriela Silva Ribeiro Gonçalves and Pablo Vieira Cerqueira were supported by a Doctoral fellowship that also funded part of this study by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES)-Fund Code 001, and Pró-Reitoria de Pesquisa de Pós-Graduação (PROPESP/UFPA) for coast aid. André Felipe Alves de Andrade is funded by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) under process number 165174/ 2020-0. Daniel Paiva Silva received funding from the Conselho Nacional de Desenvolvimento Científico e Tecnológico via a productivity grant (CNPq—Proc. Number: 304494/2019-4). Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq) supported Marcos Pérsio Dantas Santos with research productivity fellowship (310976/2020-0). We also received funding from the Federal University of Pará (UFPA-PROPESP-PAPQ 01/2020-Qualified Publication Support Program). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Biodiversity
                Conservation Biology
                Ecology
                Zoology
                Climate Change Biology

                climatic stability, conservation policy, dry forest, extinctions, gap analysis, protected areas

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