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Temperature-Related Biodiversity Change

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability, Biodiversity and Conservation".

Deadline for manuscript submissions: closed (15 March 2023) | Viewed by 3155

Special Issue Editors


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Guest Editor
Environmental Impact Studies Laboratory (LEIA), Institute of Water Sciences and Technology (ICTA), Federal University of Western Pará (UFOPA), Vera Paz Street, n/a (Tapajós Unit) Salé District, Santarém 68040-255, PA, Brazil
Interests: community ecology; biodiversity and enviromental monitoring; bioindicators, human activities, streams, odonata ecology
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Ecology and Restoration of Riverine, Estuarine and Coastal Habitats (EcoReach), Centre of Marine Sciences (CCMAR), University of Algarve (UAlg), 8005-139 Faro, Portugal
Interests: zooplankton ecology; conservation of aquatic habitats; fish larvae physiology and behavior; impacts of global change on marine biodiversity: ocean acidification; jellification; microplastics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Ecology and Restoration of Riverine, Estuarine and Coastal Habitats (EcoReach), Centre of Marine Sciences (CCMAR), University of Algarve (UAlg), 8005-139 Faro, Portugal
Interests: conservation of marine; coastal and estuarine habitas; fish larvae eoclogy and behaviour; impacts of global change on marine biodiversity; environmental and climatic impacts on fisheries

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Guest Editor
Ecology and Conservation Laboratory (LABECO), Institute of Biological Sciences (ICB), Federal University of Pará (UFPA), Belém 66075-110, Brazil
Interests: ecology and conservation of continental aquatic ecosystems; stream ecology; landscape ecology; physical habitat; habitat integrity; aquatic insects; anthropoenic disturbance assessment

Special Issue Information

Dear Colleagues,

This Special Issue of Sustainability focuses on research on "temperature-related biodiversity change". For this Special Issue, the author (s) should see their research as a cumulative advance in the literature on the effect of temperature change (in space and/or time) on biodiversity. We seek to form a cohesive manuscript collection from different world regions (regardless of the scale), including research papers, communications and review articles.

The conversion of land use and deforestation are among the main human activities that cause global warming and, consequently, climate change. In this way, manuscripts that describe temperature-related biodiversity change, both in the context of different land uses and climate change, are welcome.

The January 2021 global land and ocean surface temperature was 0.80°C (1.44°F) above the 20th century average and ranked as the seventh warmest January in the 142-year global records [1]. Further, according to the NOAA [1], “As a whole, about 5.93% of the world's surface had a record-warm 2021 January temperature–the third highest January percentage since records began in 1951”.

Considering that, the data above are worrying, given that “environmental temperature is a primary variable important for biological function at all organizational scales. Even slight temperature changes can dramatically affect biological processes from cells to populations, with strong ecological consequences” (literal transcription of Waldock et al. [2]). Various facets of biodiversity, for example, abundance, demographic and activity rates and species richness, can respond to changes in the environment temperature, consequently driving a reorganization of ecological communities [2–6]. The tropicalization of some temperate coastal areas has also been more and more evident with frequent records of tropical species within those ranges [7], which links marine species to a net increase in the water temperture in recent decades [8].

References

  1. NOAA National Centers for Environmental Information, State of the Climate: Global Climate Report for January 2021, published online February 2021, retrieved on March 6, 2021 from https://www.ncdc.noaa.gov/sotc/global/202101.
  2. Waldock, C.; Dornelas, M.; Bates, A.E. Temperature-Driven Biodiversity Change: Disentangling Space and Time. BioScience 2018, 68(11), 873–884. Doi:10.1093/biosci/biy096
  3. Antão, L.H.; Bates , A.E.; Blowes , S.A.; Waldock , C.; Supp, S.R.; Magurran, A.E.; Dornelas , M.; Schipper, A.M.  Temperature-related biodiversity change across temperate marine and terrestrial systems. Laura H. Nature Ecology & Evolution 2020, 4, 927–933. Doi: 10.1038/s41559-020-1185-7
  4. Parmesan, C.; Yohe, G. A globally coherent fingerprint of climate change impacts across natural systems. Nature 2003, 421, 37– Doi: 10.1038/nature01286
  5. Parmesan, C. Ecological and evolutionary responses to recent climate change. Annual Review of Ecology, Evolution, and Systematics 2006, 37, 637–669. Doi: 1146/annurev.ecolsys.37.091305.110100
  6. Poloczanska, E.S.; Brown, C.J.; Sydeman, W.J.; Kiessling, W.; Schoeman, D.S.; Moore, P.J.; Brander, K.; Bruno, J.F.; Buckley, L.B.; Burrows, M.T.; Duarte, C.; Halpern, B.S.; Holding, J.; Kappel, C.V.; O'Connor, M.I.; Pandolfi, J.M.; Parmesan, C.; Schwing, F.; Thompson, S.A.; Richardson, A.J. Global imprint of climate change on marine life. Nature Climate Change2013, 3(10), 919– Doi: 10.1038/nclimate1958
  7. Encarnação, J.; Morais, P.; Baptista, V.; Cruz, J.; Teodósio, M.A. New Evidence of Marine Fauna Tropicalization off the Southwestern Iberian Peninsula (Southwest Europe). Diversity201911, 48. Doi: 10.3390/d11040048
  8. Baptista, V.; Silva, P.L.; Relvas, P.; Teodósio, M.A.; Leitão, F. Sea surface temperature variability along the Portuguese coast since 1950. International Journal of Climatology 2018, 38(3), 1145-1160. Doi: 10.1002/joc.5231

Prof. Dr. José Max Barbosa Oliveira-Junior
Prof. Dr. Alexandra Teodósio
Prof. Dr. Vânia Baptista
Prof. Dr. Leandro Juen
Guest Editors

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Keywords

  • Bergmann's rule
  • global warming
  • effects of temperature on biodiversity
  • metabolic theory
  • population declines and temperature
  • sustainable biodiversity and conservation
  • temperature and species richness
  • thermal adaptation
  • thermal gradients and biodiversity
  • urban heat island effect on biodiversity
  • yearly temperature cycles

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Published Papers (1 paper)

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Research

20 pages, 5475 KiB  
Article
Influence of Parameters in SDM Application on Citrus Presence in Mediterranean Area
by Giuseppe Antonio Catalano, Provvidenza Rita D’Urso, Federico Maci and Claudia Arcidiacono
Sustainability 2023, 15(9), 7656; https://doi.org/10.3390/su15097656 - 6 May 2023
Cited by 4 | Viewed by 1962
Abstract
Within the context of Agriculture 4.0, the importance of predicting species distribution is increasing due to climatic change. The use of predictive species distribution models represents an essential tool for land planning and resource conservation. However, studies in the literature on Suitability Distribution [...] Read more.
Within the context of Agriculture 4.0, the importance of predicting species distribution is increasing due to climatic change. The use of predictive species distribution models represents an essential tool for land planning and resource conservation. However, studies in the literature on Suitability Distribution Models (SDMs) under specific conditions are required to optimize the model accuracy in a specific context through map inspection and sensitivity analyses. The aim of this study was to optimize the simulation of the citrus distribution probability in a Mediterranean area based on presence data and a random background sample, in relation to several predictors. It was hypothesized that different parameter settings affected the SDM. The objectives were to compare different parameter settings and assess the effect of the number of input points related to species presence. Simulation of citrus occurrence was based on five algorithms: Boosted Regression Tree (BRT), Generalized Linear Model (GLM), Multivariate Adaptive Regression Splines (MARS), Maximum Entropy (MaxEnt), and Random Forest (RF). The predictors were categorized based on 19 bioclimatic variables, terrain elevation (represented by a Digital Terrain Model), soil physical properties, and irrigation. Sensitivity analysis was carried out by (a) modifying the values of the main models’ parameters; and (b) reducing the input presence points. Fine-tuning the parameters for each model according to the literature in the field produced variations in the selection of predictors. Consequently, probability changed in the maps and values of the accuracy measures modified. Results obtained by using refined parameters showed a reduced overfitting for BRT, yet associated with a decrease in the AUC value from 0.91 to 0.81; minor variations in AUC for GLM (equal to about 0.85) and MARS (about 0.83); a slight AUC reduction for MaxEnt (from 0.86 to 0.85); a slight AUC increase for RF (from 0.88 to 0.89). The reduction in presence points produced a decrease in the surface area for citrus probability of presence in all the models. Therefore, for the case study analyzed, it is suggested to keep input presence points above 250. In these simulations, we also analyzed which covariates and related ranges contributed most to the predicted value of citrus presence, for this case study, for different amounts of input presence points. In RF simulations, for 250 points, isothermality was one of the major predictors of citrus probability of presence (up to 0.8), while at increasing of the input points the contribution of the covariates was more uniform (0.4–0.6) in their range of variation. Full article
(This article belongs to the Special Issue Temperature-Related Biodiversity Change)
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