Climate Change Impacts on the Distribution of Coastal Lobsters
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Marine Biology (2018) 165:186 https://doi.org/10.1007/s00227-018-3441-9 SHORT NOTE Climate change impacts on the distribution of coastal lobsters Joana Boavida‑Portugal1,2 · Rui Rosa2 · Ricardo Calado3 · Maria Pinto4 · Inês Boavida‑Portugal5 · Miguel B. Araújo1,6,7 · François Guilhaumon8,9 Received: 17 January 2018 / Accepted: 26 October 2018 / Published online: 16 November 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Coastal lobsters support important fsheries all over the world, but there is evidence that climate-induced changes may jeopardize some stocks. Here we present the frst global forecasts of changes in coastal lobster species distribution under climate change, using an ensemble of ecological niche models (ENMs). Global changes in richness were projected for 125 coastal lobster species for the end of the century, using a stabilization scenario (4.5 RCP). We compared projected changes in diversity with lobster fsheries data and found that losses in suitable habitat for coastal lobster species were mainly projected in areas with high commercial fshing interest, with species projected to contract their climatic envelope between 40 and 100%. Higher losses of spiny lobsters are projected in the coasts of wider Caribbean/Brazil, eastern Africa and Indo-Pacifc region, areas with several directed fsheries and aquacultures, while clawed lobsters are projected to shifts their envelope to northern latitudes likely afecting the North European, North American and Canadian fsheries. Fisheries represent an important resource for local and global economies and understanding how they might be afected by climate change scenarios is paramount when developing specifc or regional management strategies. Introduction directly on fsh as their primary protein source. Fishing and aquaculture assure the livelihoods of 12% of the world’s Climate change, overfshing and habitat degradation are population, creating economic benefts of USD $2.8 trillion the main reasons for the drastic decline of marine popula- per year (FAO 2016). Yet, more must be done to understand tions over the past 30 years (WWF 2015). According to the and prepare for the impacts that climate change will have on United Nations Food and Agriculture Organization (FAO), world fsheries and marine ecosystems. one billion people, mostly in developing countries, depend Coastal lobsters are a highly prized seafood delicacy all over the world and the crash of ground fsh stocks prompted this industry to explode in some areas (Steneck and Wahle Responsible Editor: F. Bulleri. 2013). World lobster trade more than doubled over the past Reviewed by Undisclosed experts. 20 years, with the global trade and production of lobster products adding up to over USD $8.4 billion worldwide Electronic supplementary material The online version of this (33% of the global trade; FAO 2016). Nevertheless, the long article (https://doi.org/10.1007/s00227-018-3441-9) contains supplementary material, which is available to authorized users. * Joana Boavida‑Portugal 5 Department of Spatial Planning and Environment, Faculty [email protected] of Spatial Sciences, University of Groningen, Groningen, The Netherlands 1 Rui Nabeiro Biodiversity Chair, Universidade de Évora, 6 Museo Nacional de Ciencias Naturales, CSIC, Madrid, Spain Évora, Portugal 7 Center for Macroecology, Evolution, and Climate, Natural 2 Laboratório Marítimo da Guia, MARE‑Marine History Museum of Denmark, University of Copenhagen, and Environmental Sciences Centre, Faculdade de Ciências Copenhagen, Denmark da Universidade de Lisboa, Cascais, Portugal 8 MARBEC, IRD, University of Montpellier, CNRS, Ifremer, 3 Departamento de Biologia & CESAM & ECOMARE, Montpellier, France Universidade de Aveiro, Aveiro, Portugal 9 Entropie, Saint Denis, La Réunion, France 4 Department of Limnology and Bio‑Oceanography, University of Vienna, Vienna, Austria Vol.:(0123456789)1 3 186 Page 2 of 7 Marine Biology (2018) 165:186 larval phase of lobsters, particularly spiny lobsters, makes oxygen concentration at surface and ocean surface pH) from them particularly vulnerable to climate variability (Wahle earth system models (ESM) developed for CMIP5. There et al. 2015). Indeed, climate change efects have already were 21 ESM’s from 15 climate centres that modelled at been reported in several lobster stocks around the world least one of the variables analysed (Electronic supplemen- mostly associated with ocean warming (e.g. Cockcroft et al. tary material Table S02). For each model and variable, we 2008; Pecl et al. 2009, Caputi et al. 2010; Pinsky et al. 2013; used the period 1976–2005 from the historical experiment, Wahle et al. 2015; Rheuban et al. 2017; Le Bris et al. 2018). to establish the baseline period, and the period 2071–2100, Ecological niche models (ENM) have been widely used to defne our future scenario. A stabilization scenario was to assess the impacts of climate change on biodiversity (e.g. used in this study (representative concentration pathway, Albouy et al. 2012; Jones and Cheung 2015). These models RCP4.5), with CO2 concentrations projected to increase up combine distribution data of diferent species with environ- to 650 ppm by 2100 (Vuuren et al. 2011). This scenario was mental parameters to infer a specifc bioclimatic envelope. chosen as it is the one that projected the raise in surface tem- Projecting this envelope under diferent climate scenarios perature by the end-century closer to the + 1.5 °C increase allows an estimation of potential shifts in the habitat suit- targeted by the Paris Agreement (United Nations 2016), so ability of the species analysed (for review see Peterson et al. we considered it the most realistic given the current status 2011), allowing to infer on potential climate change impacts. of international climate policy. In this study we provide the first global forecast of Climate data were publicly available from the World changes in coastal lobster species distribution projected Climate Research Programme (http://cmip-pcmdi .llnl.gov/ under climate change. Using an ensemble of ENMs (Thuiller cmip5 /avail abili ty.html). Sea surface temperature and sur- et al. 2009), we projected changes in richness for 125 coastal face seawater salinity have monthly frequency while the lobster species to an end-century stabilization scenario. We other three variables have annual data. All parameters were then compared our results with lobster fsheries data (as a interpolated to the 1° × 1° grid used for the species in Arc- proxy for human dependency on the resource) to help inform GIS (ESRI 2006), prior to calculating multi-model yearly local fsheries and management strategies. means (Mora et al. 2013). We estimated multi-model vari- ability by calculating the standard deviation of model means among earth system models per variable and time period Methods (Tebaldi and Knutti 2007; Electronic supplementary mate- rial Fig. S01). Species data Ecological niche modelling We obtained polygons of extent of occurrence (range flling) for 125 coastal lobster species from International Union for In order to constrain algorithmic uncertainty associated Conservation of Nature (IUCN 2013) and converted them with ecological niche models (ENM’s) we implemented to presence points data in a worldwide 1° × 1° latitude/ an ensemble forecasting method (Araújo and New 2007). longitude grid using ArcGIS (ESRI 2006). Four families Models were ftted using six diferent statistical techniques of decapod crustaceans commonly referred to as “lobsters” implemented in BioEnsembles (Diniz-Filho et al., 2009): and associated with (but not restricted to) the continental (1) BIOCLIM, (2) Euclidean distance (EUC), (3) general- shelf (200 m depth limit), were included in this analysis: 10 ized linear models (GLM), (4) generalized additive mod- clawed lobsters species (family Nephropidae); 38 spiny lob- els (GAM), (5) multivariate adaptive regression splines sters species (family Palinuridae); 68 slipper lobsters species (MARS), (6) maximum entropy (Maxent). (family Scyllaridae) and 9 dwarf reef lobsters species (fam- For each species, data were randomly partitioned into ily Enoplometopodidae) (Electronic supplementary material a calibration (70%) and a validation (30%) dataset; the pro- Table S01). To avoid statistical bias in ENM ftting, fve cedure was repeated fve times, maintaining the observed species were excluded from the analyses (Jasus caveorum, prevalence of species in each partition. For each species Jasus paulensis, Jasus tristani, Panulirus marginatus, Pal- models optimal parameterization and ft evaluation were inurus barbarae)—corresponding to those with fewer than conducted using the True Skill Statistic (TSS) (Allouche 20 records over the study area (Wisz et al. 2008). et al. 2006). Weighted median consensus forecasts were computed (Marmion et al. 2009) and models performing Climatic data poorly (with TSS values < 0.5) were excluded from the fnal ensemble (according to Landis and Koch 1977 classifcation We used 30-year averages of fve climate variables (sea sur- scheme). Consensus projections were built using 100% of face temperature, sea surface salinity, total chlorophyll mass the data, as data partitions have been shown to add signif- concentration at surface (proxy for productivity), dissolved cant uncertainty to forecasts (Araújo et al. 2009). The fnal 1 3 Marine Biology (2018) 165:186 Page 3 of 7 186 ensembles used performed at excellent levels with a mean between future and baseline periods for these groups TSS