Catena 199 (2021) 105115
Contents lists available at ScienceDirect
Catena
journal homepage: www.elsevier.com/locate/catena
Effects of a yellow legged gull (Larus michahellis) colony on soils and cliff vegetation in the Atlantic Islands of Galicia National Park (NW Spain)
S. De La Pena-Lastra˜ a, C. Gomez-Rodríguez´ b, A. P´erez-Alberti c, F. Torre c, X.L. Otero a,d,* a Departamento de Edafología y Química Agrícola, Facultade de Bioloxía, Universidade de Santiago de Compostela, Galicia, Spain b CRETUS Institute, Departamento de Zoología, Gen´etica y Antropología Física, Facultad de Biología, Universidade de Santiago de Compostela, Galicia, Spain c Institut M´editerran´een de la Biodiversit´e et d’Ecologie Marine et Continentale (IMBE), Univ. Aix Marseille, CNRS, IRD, Univ. Avignon, Av Escadrille N. Niemen, case 421, 13397 Marseille cedex 20, France d Red de Estations Bioloxicas´ da Universidade de Santiago de Compostela, Facultade de Bioloxía, Universidade de Santiago de Compostela, Galicia, Spain
ARTICLE INFO ABSTRACT
Keywords: Seabirds are powerful environmental modulators, generating major changes in soil properties and vegetation in Cliff vegetation areas where their breeding colonies are established. One of the largest yellow-legged gull colonies in the world is Nitrogen found in the Atlantic Islands of Galicia National Park. In this study, we performed seasonal monitoring, over a Phosphorus bioavailability period of 5 years, of the flora and soil in eight subcolonies characterized by different densities of gulls. Soil Beta diversity nutrient concentrations differed significantly between the control site and the subcolonies, as well as between Principal component analysis - seasons; the concentrations of N-NO3 and bioavailable P were highest in samples obtained at the end of the breeding season. Principal Component Analysis (PCA) transformed the environmental variables into three main components following varimax rotation. The PCA components were used as potential predictors in distance- based Redundancy Analyses (db- RDA) to explain turnover and also nestedness patterns in plant assemblages. Species turnover was explained by both natural (salinity) and nutrient gradients, while none of the relationships were significant in the nestedness analysis. Floristics inventories clearly revealed ruderalization of vegetation in the densest subcolonies, which led to total replacement of the most representative vascular plant species by eutrophic and ruderal species. PERMANOVA analysis showed that seagull density in 1991, when the seagull population was at its highest, could be used to group similar plant assemblages; however, this relationship was not observed for seagull density in 2011, which was 70–90% lower than in 1991. The study findingsindicate that the environmental effects of seabird colonies are long lasting and that disappearance of the birds does not lead to restoration of the previous vegetation. The gull colony has irreversibly transformed the soil and vegetation of cliffs, generating a new environmental system.
1. Introduction biomass and plant height, as well as to enhanced seed dispersal, owing to “ornitheutrophication” of the soil (Anderson and Polis, 1999; Sanchez- Seabirds are one of the most numerous bird groups in the world, Pinero˜ and Polis, 2000; Otero et al., 2018). Nevertheless, seabird col including over 1100 million individuals and comprising around 3.5% of onies often reach high densities, and the pressure they exert on the all birds (del Hoyo et al., 1996; Otero et al., 2018). During the breeding substrate and vegetation can dramatically transform characteristic plant season, most species concentrate in large colonies in coastal areas, formations in coastal environments. Uprooting of plants (for nest strongly impacting the vegetation and leading to the transformation of building), trampling, soil compaction and eutrophication greatly plant communities (Sobey and Kenworthy, 1979; Hahn et al., 2007; decrease the biodiversity of vegetation and lead to the introduction of Hiradate et al., 2015, Zwolicki et al., 2016). allochthonous ruderal and nitrophilous species (Kamijo and Yoshinobu, The effect that seabird colonies have on vegetation and flora is 1995; Hiradate et al., 2015, Ishida 1996; Baumberger et al., 2012). complex and multidirectional and as such is sometimes difficult to For the aforementioned reasons, newly established colonies can identify. Thus, low bird densities lead to increased biodiversity, plant sometimes conflict with conservation programs that target certain
* Corresponding author at: CRETUS Institute, Departamento de Zoología, Genetica´ y Antropología Física, Facultad de Biología, Universidade de Santiago de Compostela, Galicia, Spain. E-mail address: [email protected] (X.L. Otero). https://doi.org/10.1016/j.catena.2020.105115 Received 8 April 2020; Received in revised form 17 December 2020; Accepted 19 December 2020 0341-8162/© 2020 Elsevier B.V. All rights reserved. S. De La Pena-Lastra˜ et al. Catena 199 (2021) 105115 species or communities. In the Atlantic Islands of Galicia National Park in the NW Iberian Peninsula; in addition, some of the representative (AINP), a dramatic change in plant communities was observed in coastal species are rare or endemic (Guitian´ and Guitian,´ 1990). The plant cliffs where a yellow-legged gull colony was established, and a new plant species are subjected to high levels of environmental stress (e.g. high community associated with the gull colony was described (e.g. Calendulo salinity, strong winds, shallow soils), as well as to pressure from one of algarbiensis-Parietarietum judaicae; Guitian´ and Guitian,´ 1990). Never the world’s largest yellow-legged gull colonies (Larus michahellis) (Bar theless, most plant formations present in colonies within the AINP ros 2015; Otero and P´erez-Alberti 2009). However, many of the factors remain uncharacterized (Arcea, 1999). In addition to the formal influencingthe distribution and dynamics of coastal plant communities description of plant communities (i.e. identification of the species in are unknown. Long-term monitoring is used by different researchers and each plant assemblage), gradient analysis of vegetation can be used to recommended for studies aiming to determine changes in habitats and investigate how plant assemblages respond to environmental factors, species (Tilman, 1989; Stohlgren, 1995). such as gull-driven eutrophication. This type of analysis should be based The “ornitheutrophication” (Otero et al., 2018) of marine ecosystems on appropriate metrics of biotic dissimilarity that enable discrimination by seabirds is an environmentally important factor that substantially of two opposed patterns: replacement of some species by others (i.e. alters floristicdiversity and plant community structure in colonies. The turnover) and overall loss of species (Baselga, 2010). impact of faecal deposition by seabirds and other vertebrates (e.g. the The AINP includes one of the best representations of cliff vegetation Arctic fox) on the vegetation of subarctic ecosystems has been widely
Fig. 1. Location of study plots within the Atlantic Islands of Galicia National Park (NW Spain). H: high seabird influence,LI: low-intermediate seabird influence,CS: no influence.
2 S. De La Pena-Lastra˜ et al. Catena 199 (2021) 105115 studied (Zhu et al., 2005; Croll 2005; Ellis et al., 2006; Zmudczynska-´ 2. Materials and methods Skarbek et al., 2015; Gharajehdaghipour et al., 2016; Fafard et al., 2019), while fewer studies have been conducted in temperate-humid The Atlantic Islands Natural Park of Galicia (AINP) is located in the areas (Sobey and Kenworthy, 1979; Breuning-Madsen et al., 2010; NW Iberian Peninsula (Fig. 1). Seven subcolonies of yellow-legged gull Baumberger et al., 2012; Vidal et al., 2000). In the present study, long- located on cliffs of the main archipelagos (Cíes and Ons) and also a term monitoring of the effect of yellow-legged gull colonies on soils and control site with no gulls, located on a cliff in Cabo Home, were selected cliff vegetation was conducted, and the relative importance of the for study. The cliffs were selected on the basis of the distribution of the following factors was analyzed by distance-based RDA analysis (dbRDA) main plant communities described in previous studies (Arcea, 1999) and of dissimilarity indices discriminating turnover and nestedness compo gull density (Fig. 2, Table 1, S1). Gull density in the AINP has undergone nents of the variation in plant assemblage: (1) soil properties (pH, major variations in recent years: the population in the Cíes Islands - + electrical conductivity), (2) macronutrient content (N-NO3, N-NH4 , and decreased from 22,220 breeding pairs in 1991 to 3520 breeding pairs in bioavailable P), (3) gull influence (absent, low, intermediate and high 2015, while the population in the Ons Islands fell from 3747 breeding density) in different subcolonies in the AINP and in a control site pairs in 1991 to 2242 in 2015 (Munilla 1997; Barros 2015; Supple (without gulls) mentary Material Table S1).
Fig. 2. Characteristic plant species of cliffs in the National Park. Receding species, presumably due to the action of seagulls: (A) Armeria pubigera meadow, (B) Festuca rubra pruinosa, (C) Silene uniflora. Ruderal eutrophic species that are dominant in cliffs with high seagull influence:(D) Dactylis maritima, (E) Angelica pachycarpa, (F) Cochlearia danica, (G) Calendula suffruticosa algarbiensis, (H) Urtica membranacea.
3 S. De La Pena-Lastra˜ et al. Catena 199 (2021) 105115
Table 1 Characteristics of plots in the AINP. The influence of seagulls was established on the basis of the census carried out in 1991 (see Table S2).
Atlantic island of Galicia Natural Park (Spain). Huso 29.
Plot Coordinates UTM Orientation Plant association Representative species** influence of gulls (XY)
Cabo Home (control zone) Cabo Home (plot CH) 511270.408 W Grassland of Armeria pubigera A. pubigera Control plot, without 4680186.325 seagulls Cíes islands Monte Herbas (plot MH) 507595.772 N-NE Dauco gummnifer-Festucetum pruinosae Festuca pruinosa; Koeleria glauca Low (<30 pairs ha 1) 4674540.514 Figueiras 1 (plot FIG1) 507,662,000 N-NO Cochleario-Matricarietum maritimae Cochlearia danica; Matricaria Intermediate (30–100 pairs 4675667.000 maritima ha 1) Figueiras 2 (plots FIG2a,b) 507663.946 SW Grassland of Dactylis maritima y Silene Silene uniflora; 4675668.334 uniflora Dactylis glomerata Faro Porta 1 (plots FP1a,b) 507173.000 S-SW Grassland of Armeria pubigera A. pubigera High (>100 pairs ha 1) 4673353.600 Faro Porta 2 (plot FP2) 507120.000 S Calendulo algarbiensis- Parietarietum Chrithmum maritimun; Calendula 4673364.000 judaicae algarbiensis Ruzo (plots RZ a,b) 507086.817 S-SW Grassland of Holcus lanatus Holcus lanatus; A. pachycarpa 4673685.139 Percha Inf. (plot PERINF) 507452.250 N-NW Cochleario-Matricarietum maritimae Cochlearia danica; Matricaria 4676835.310 maritima Percha Sup. (plot PERSUP) 507468.880 N-NW Grassland of Dactylis maritima y Silene Silene uniflora; 4676710.230 uniflora Dactylis glomerata Ons Island Punta Centulo (plot CENA) 506376.120 N-NE Community of Angelica pachycarpa A. pachycarpa *No data for 1991 4694105.095 Punta Xubenco (plots 505646.900 O-NO Grassland of Armeria pubigera A. pubigera PXUB1 a,b) 4693728.900
* According to the guards of the National Park the density should have been Intermediate in Punta Centulo and Low-Intermediate in Punta Xubenco ** Representative species: plant species that give name to the plant association or are present with a high coverage, generally > 20%.
◦ 2.1. Sampling, floristic inventories and soil analysis mixture for 5 min and then filteringit through a n 42 Whatman filter. ◦ The extract was then stored at 3 ± 1 C until analysis (Mehlich, 1984). Soil sampling was performed at three different times a year in the The P-bio was determined colorimetrically by the molybdenum blue periods 2011–2014 and 2016–2017: (1) February-March, before the method, at a wavelength of 800-nm (Bowman, 1988). gulls returned to the subcolonies; (2) August-September, at the end of the breeding season, i.e. when the impact of the gulls on the soil was 2.2. Statistical analysis maximal; and (3) December-January, after strong precipitation and in the absence of gulls. In order to determine the impact of the gulls on cliff vegetation in the One to three permanent sampling plots (7 × 5 m), depending on the AINP, a group of 17 plant species were selected for analysis. The selected environmental conditions of each cliff, were established in each sub species had been identified in previous studies as typical of the plant colony (total, 14 plots). Targeted sampling was performed in each plot communities on cliffs in the NW Iberian Peninsula or as ruderal (char by randomly throwing a 50 × 50 cm metal square into the air 6 to 10 acteristic of disturbed environments) and nitrophilous species (Guitian´ times and sampling within the area delimited by the square on the and Guitian,´ 1989, 1990; Fernandez´ et al., 2011, Veen et al., 2009). The ground. The (0–15 cm) layer of soil was removed within three such characteristic and accompanying species in plant communities of cliffs squares and composite surface soil sample was obtained for each plot by in the NW Iberian Peninsula selected were Angelica pachycarpa, Anthyllis mixing the three soil subsamples. The plant species present within each vulneraria iberica, Armeria pubigera pubigera, Crithmum maritimum, Fes square were also inventoried. Cover of each was determined by the tuca rubra pruinosa, Leucanthemum merinoi, Matricaria maritima, Plantago Braun-Blanquet method (1979): cover categories: 1: <10%, 2: 10–25%, coronopus, Rumex acetosa biformis, and Silene uniflora, while the ruderal 3:25–50%, 4: 50–75% and 5: >75%. (characteristic of disturbed environments) and nitrophilous species Soil analysis was performed on the finesoil fraction (<2 mm), after selected were Calendula suffruticosa algarbiensis, Cochlearia danica, Dac careful removal of the coarse plant debris (roots and stems): gran tylis maritima, Holcus lanatus, Leontodon autumnalis, Parietaria judaica, ulometry was determined by the Robinson pipette method; pH was and Urtica membranacea. determined in a soil: water ratio of 1:2.5 (Buurman et al., 1996); elec Two-way ANOVA was used to compare the influence of gulls (con trical conductivity (EC) was measured in a 1:5 soil/water suspension; trol, colonies) and season (spring, summer, winter) on soil nutrients, and total organic carbon (TOC) was analyzed in a Leco CNS1000 auto + + + + + acidity and salinity (i.e. electrical conductivity) in the plots. All statis analyzer. Exchange cations (Ca2 , Mg2 , Na , K , and Al3 ) were tical tests were performed using SigmaStat software version 3.5. extracted using a 1 M NH Cl solution (Bertsch and Bloom, 1996), except 4 Differences in plant community composition among plots were for Al, which was extracted from 5 g of soil with a 1 M KCl solution. The assessed following the beta diversity partitioning framework developed concentrations of the exchange cations were determined by atomic ab by Baselga (2010). Pairwise turnover and nestedness components of sorption spectrophotometry (Perkin Elmer model 1100B). Exchangeable + biotic dissimilarity were computed using the ‘beta.pair’ command in the ammonium (N-NH ) and nitrate (N-NO ) were extracted from 5 g of 4 3 R package “betapart” (Baselga and Orme, 2012). Community composi fresh soil in 50 ml of a 2 M KCl solution (Mulvaney, 1996). Bioavailable tion was based on presence/absence data of each plant species in each phosphorus (P-ba) was extracted by the Mehlich 3 method (Mehlich, plot (species-by-site matrix) over the entire study period. 1984). Briefly,the P-ba fraction was extracted from 2 g of air-dried soil To assess the relationship between environmental variables and in 20 ml of Mehlich-III solution (2 M CH COOH, 0.25 M NH NO , 0.015 3 4 3 plant community composition, turnover and nestedness-resultant M NH F, 0.013 M HNO and 0.001 M EDTA), by first shaking the 4 3 dissimilarity matrices were used as response variables in independent
4 S. De La Pena-Lastra˜ et al. Catena 199 (2021) 105115 distance-based Redundancy Analysis (db-RDA), which allows the use of seawater, the dominance of Ca in the soil cation exchangeable complex non-Euclidean dissimilarity indices (Legendre and Anderson 1999). The may be due to the greater affinity of colloids for this cation. mean and standard deviations of environmental variables related to natural gradients (i.e. pH and conductivity) and “ornitheutrophication” 3.1.2. pH and electrical conductivity + - gradients (i.e. N-NH4 , N-NO3 and bioavailable P, P-ba) were first sub The soil pH values were acidic in the control site and subcolonies, jected to Principal Component Analysis (PCA) with varimax rotation. with mean values ranging between 5.0 and 7.0 (Table 3, Supplementary Three PCA components, accounting for 76% of the variance, were Material Table S2); no significantdifferences were observed between the retained for downstream db-RDA analysis. A manual forward stepwise control zone and the colonies, or between seasons (Table 3). Electrical selection of predictors based on significantcontribution to the model (p conductivity ranged from environments with low ionic load to slightly < 0.05) was applied using the ‘dbrda’ command in the R package saline environments. The lowest values corresponded to the Percha cliffs “vegan” (Oksanen et al., 2018). Significance was assessed with a per (PERSUP: 416 ± 227 µS cm 1; PERINF: 574 ± 329 µS cm 1, Table 3), mutation test (n = 10,000) with sequential tests for each constraining while the highest mean values were observed in soils from the control variable conducted using the ‘anova’ command in the “vegan” package. site (CH: 1308 ± 1319 µS cm 1, Table 2) and from the PXUB plot, in Ons When no significant predictors were selected, dissimilarities among Island (1060 ± 562 µS cm 1, Table 3). EC differed significantlybetween plant assemblages were represented by Non-Metric Multidimensional the control site and colonies (F1,679 = 54.739, p < 0.001), as well as Scaling (NMDS) implemented using the ‘metaMDS’ command in the between seasons (F1,679 = 86.223, p < 0.001, Table 3, Supplementary “vegan” package. Material S2), and the values were generally highest in winter. In order to determine whether differences in plant community composition are related to current and/or historical gull densities, 3.1.3. Inorganic nitrogen in the soil - + PERMANOVA (Anderson, 2001) was conducted using the turnover The concentrations of N-NO3 and N-NH4 were significantlylower (N- - + dissimilarity matrix, and the nestedness-resultant dissimilarity matrix NO3: F1,679 = 38.234, p < 0.001; N-NH4 : F1,679 = 12.555, p < 0.001) in + 1 was used independently as a response variable. The gull densities in the control site soils (N-NO3: 16.4 ± 13 and N-NH4 : 22.5 ± 18 mg kg ) - + 1991 and in 2011 were used as ordered grouping factors. Density levels than in gull subcolony soils (N-NO3: 43.3 ± 37 and N-NH4 : 35.1 ± 33 represented by only one case were excluded from the analysis, resulting mg kg 1) (Tables 3, Supplementary Material Table S2). A gradient was in two levels (high and intermediate) for 13 cases in 1991 and two levels identified in the subcolony soils, ranging from high values in sites with (low and intermediate) for 14 cases in 2011. The analysis was conducted stronger gull influence(high density and long history of breeding), such using the ‘adonis’ command in the “vegan” package. as the Percha, Ruzo and Punta Centulo cliffs, to lower values in lower density and/or more recently established colonies (see also Otero et al., 3. Results 2015, Table 3 and Supplementary Material Table S2). On the other hand, + N-NO3 and N-NH4 showed significant seasonal variations (N-NO3 : + 3.1. Soil properties and composition F2,679 = 3.593, p = 0.028; N-NH4 : F2,679 = 4.283, p = 0.014), with the lowest values occurring in winter, intermediate values in spring, and the 3.1.1. General characterization of soils highest values in summer (Table 3, Supplementary Material Table S2). Soils in the control site and in gull subcolonies showed limited development (15–25 cm depth). Texture was loamy sand to sandy loam, 3.1.4. Bioavailable phosphorus (P-ba) indicating a clear dominance of the sand fraction, with values over 78%, Mean P-ba concentration was significantlyhigher (F1,679 = 42.072, p 1 while silt (11.9 ± 2.8%) and clay (8.3 ± 2.6%) were much less abundant < 0.001) in gull subcolony soils (162 ± 160 mg kg ) than in the control 1 (Table 2, Fig. 3). site (38.3 ± 22 mg kg ) (Table 3). However, no significant seasonal Mean organic C content was very high in most sites, exceeding 7% in differences were observed (F2,679 = 0.209, p = 0.811, Table 2). Plot by all cases (Table 2). Regarding the cationic exchange complex, the plot analysis revealed a gradient from sites with the highest to the lowest 1 dominant cation was Ca (mean values: 4.87–21.5 cmol(+)kg ), fol gull influence,which was consistent with the results obtained for N: CH 1 1 < < < < < < < < lowed by Mg (3.93–14.5 cmol(+)kg ), Na (2.11–7.81 cmol(+)kg ), and (control site) Fig. 2 MH Fig. 1 PERSUP RZ PXUB FP1 FP2 1 < < K (0.48–2.23 cmol(+)kg ). Conversely, in almost all samples Al was PERINF CENA (Supplementary Material Table S2). 1 either below detection limits (DL < 0.01 cmol(+)kg ) or the values were very low (Table 2), which is consistent with pH in water values generally 3.2. Flora and vegetation over 5.5 and with the presence of a quartz sand layer fossilizing the granitic substrate. Despite the higher concentrations of Na and Mg in The total number of vascular plant species was similar across sites. A
Table 2 General characteristics of soils. + + + + + pH EC TOC Ca2 Mg2 Na K Al3