Biodiversity Data Journal 11: e103723 OO) doi: 10.3897/BDJ.11.e103723 open access Data Paper Assessing the effects of climate change on arthropod abundance in Azorean pastures: PASTURCLIM project's baseline monitoring data Sophie Wallon+, Catarina Melo*S, Noelline Tsafack?!, Rui B. Elias?, Paulo A.V. Borges?" + Centre for Ecology, Evolution and Environmental Changes (cE3c)/Azorean Biodiversity Group, CHANGE — Global Change and Sustainability Institute, Faculty of Agricultural Sciences and Environment, University of the Azores, Rua Capitao Joao d ‘Avila, Pico da Urze, 9700-042, Angra do Heroismo, Azores, Portugal § CFE — Centre for Functional Ecology, 3001-401 Coimbra, Portugal | Regional Secretariat of Environment and Climate Change, Project LIFE BEETLES (LIFE 18NAT/PT/000864), Rua do Galo n118, 9700-040, Angra do Heroismo, Azores, Portugal q IUCN SSC Mid-Atlantic Islands Invertebrate Specialist Group, Angra do Heroismo, Azores, Portugal Corresponding author: Sophie Wallon (sophie.wallon@gmail.com) Academic editor: Joao Pedro Barreiros Received: 19 Mar 2023 | Accepted: 12 Apr 2023 | Published: 28 Apr 2023 Citation: Wallon S, Melo C, Tsafack N, Elias RB, Borges PAV (2023) Assessing the effects of climate change on arthropod abundance in Azorean pastures: PASTURCLIM project's baseline monitoring data. Biodiversity Data Journal 11: e103723. https://doi.org/10.3897/BDJ.11.e103723 Abstract Background The data we present are part of the project PASTURCLIM (Impact of climate change on pasture’s productivity and nutritional composition in the Azores). The project aims to assess the consequences of climate change (e.g. temperature increase) on the grass production and its quality for forage, as well as to assess changes in the arthropod communities associated with the Azorean intensive pastures. An in situ experiment was set up using Open Top Chambers (OTCs), in order to simulate an increasing of temperature (average of +1.2°C) on pastures. In this contribution, we present the data relative to the arthropod sampling. © Wallon S et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 2 Wallon S etal New information We provide an inventory of all arthropods recorded inside OTCs and in control plots in three intensively managed pastures dominated by grasses in Terceira Island (Azores): two of them dominated by ryegrass, Lolium multiflorum Lam. (Poaceae), located respectively at 186 m and 301 m above sea level; and one field dominated by common velvetgrass, Holcus lanatus L. (Poaceae), located at an altitude of 385 m. A total of 41351 specimens were collected. Organisms collected belong to four classes, 15 orders, 60 families and 171 species/morphospecies (including 34 taxa identified only at order, family or genus level). Therefore, for only 137 taxa, we have a scientific name associated (n = 38918). A total of 75% of the species (n = 129 species) are considered introduced (including all the species with indeterminate colonisation status that are possibly also exotic species (n = 7622)), representing 71% of the total abundance (n = 29664 specimens). A total of 19% of the species (n = 33 species) are considered native non- endemic representing 28% of the total abundance (n = 11608 specimens). Only one endemic species was sampled, the wolf spider Pardosa acorensis Simon, 1883 (1% of the species), representing 0.2% of the total abundance (n = 79 specimens). Spiders (5056 specimens) and beetles (18310 specimens) were the dominant taxa representing, respectively, 20 and 78 morphospecies. Since the main aim of this study was to have a better knowledge on arthropod communities present in Azorean pastures under a simulated temperature increase, the principal novelty of this paper is the contribution with distribution and abundance data to a baseline knowledge on the future consequences of climate changes on arthropod communities in Azorean pastures. Keywords arthropods, climate change, grasses, Open Top Chamber, pasture, pitfall traps. Introduction Climatic changes occurring on Earth imply mainly changes in temperature (Arnell et al. 2019, Portner et al. 2022) and in rainfall patterns (Ohba and Sugimoto 2019, Papalexiou and Montanari 2019), which affect ecosystems as well as their biodiversity (Sharma and Dhillon 2018, Habibullah et al. 2022). Grasslands used as forage crops are affected at different levels by the increase of temperature: i) Increased growth rate, in which higher temperatures can stimulate the growth rate of forage crops. As a result, grasslands can produce more forage, which can be beneficial for livestock. However, changes in seasonal precipitation would reduce these benefits, particularly in areas with low summer rainfall (Hopkins and Del Prado 2007); ii) Drought stress, in which higher temperatures comes with the higher risk of drought, which can be detrimental to the growth of forage crops. Drought stress can reduce the yield of grasslands and result in poor-quality forage; iii) Changes in Assessing the effects of climate change on arthropod abundance in Azorean ... 3 plant composition (Feeley et al. 2020), in which some species may become less abundant, while others may thrive, which can alter the nutritional value of the forage, decreasing protein and mineral nutrient concentrations, as well as altering lipid composition (DaMatta et al. 2010); iv) Changes in plant phenology, in which some grasses are affected as well as their functional traits and chemical composition (Lee et al. 2013, Piao et al. 2019, Ekholm et al. 2020, Melo et al. 2022). All these factors can lead to cascading effects on biodiversity and on ecosystem services (Selvaraj et al. 2013, Banerjee et al. 2018, Garcia et al. 2018, Miras-Avalos and Baveye 2018, Moss and Evans 2022). Adaptation to climate change for agriculture will be definitively a crucial point to overpass in order to avoid an economic crisis in the coming years (Aguiar et al. 2018, Rivera et al. 2018, Vizinho et al. 2021). Regarding wildlife, there has been great concern for many years concerning the decline of arthropods (Wilson 1987, Brantley and Ford 2012, Seibold et al. 2019, Halsch et al. 2021). In anthropised ecosystems such as for crops or pastures, they are responsible for many ecosystem services (e.g. pollination, decomposition of organic matter, pest control and predation), but can also be responsible for ecosystem disservices (e.g. pest, parasitism, herbivory, seed predation, crop damage) (Cardenas et al. 2022, Ferrante et al. 2022). Climate changes may also affect this balance of services and disservices by inducing shifts in species composition (Harter et al. 2015). Climate changes may influence species presence/absence, fluctuation of abundances and can even favour the dominance of some species in the ecosystem with the threat of creating a boom of pest species (Buchholz et al. 2013, Sohlstr6m et al. 2022). The risk is higher on island ecosystems because of the limited area available and the usually lower altitudinal range. Therefore, climate changes represent a real threat for island biodiversity (Harter et al. 2015 , Borges et al. 2019, Veron et al. 2019, Portner et al. 2022). Predictions for the Azores suggest a temperature increase between 1.6 and 2.72°C till the end of the century (respectively following the two scenarios from the PRAC: RCP4.5 and RCP 8.5). Changes in the rainfall pattern are also expected due to the increase in heavy rains and storms in the winter and prolonged droughts during the summer (Costa et al. 2017). Nowadays, the main activity in the Azores is dairy and meat production. Thus, most of the land between the sea level and middle altitude (500 m) is used for agriculture (e.g. intensive pasture and forage crops) representing 56% of the territory (Costa et al. 2017). The impact of temperature increase on the arthropod communities of Azorean pastures is unknown. Therefore, an in-situ experiment was established to collect baseline data in order to help understand how the increase of the temperature affects the arthropod communities associated with intensive pastures in the Azores. 4 Wallon S etal General description Purpose: To provide baseline data on arthropod species richness and abundance from intensively managed pasture in Terceira Island (Azores) under natural and modified climatic conditions (e.g. increase in temperature via Open Top Chambers - OTCs). These data will allow us to assess the effects of climate change on arthropod’s communities in Azorean pastures. Additional information: Open Top Chambers (OTCs) are raised from the floor (around 5 cm) and allow free movement of all crawling arthropods around the pasture. Instead, for flying arthropods, OTCs represent an artificial barrier and data collected would present a bias due to this obstacle. Therefore, we focused on the collection of crawling arthropods using pitfall traps filled with ethylene glycol. Project description Title: PASTURCLIM - Impact of climate change on pasture’s productivity and nutritional composition in the Azores Personnel: Project leaders: Rui B. Elias Team members: Paulo A.V. Borges, Sophie Wallon, Catarina D. Melo. External Consultants : Teresa M. Ferreira. Parataxonomists: Sophie Wallon; Mauro Matos. Taxonomist: Paulo A.V. Borges. Darwin Core Database management: Paulo A. V. Borges, Sophie Wallon. Fieldwork: Sophie Wallon, Catarina D. Melo, Rui B. Elias. Study area description: The study was conducted on the Archipelago of the Azores (North Atlantic), on Terceira Island (decimal coordinates 38.712925, -27.234912) which is the third largest island of the Archipelago with 400.2 km? and a maximum altitude above sea level of 1021 m. The Azores are from volcanic origin and have a temperate oceanic climate, relatively wet with mild temperature at low altitude, all year long. Design description: The study areas were intensive pastures located at different elevations (Table 1). All pastures were dominated by grasses. The two fields at lower elevations (A and B) were covered by the annual ryegrass, Lolium multiflorum Lam. (Poaceae) and the field at higher elevation (C) was covered by the perennial common velvetgrass, Holcus lanatus L. (Poaceae). Assessing the effects of climate change on arthropod abundance in Azorean ... 5 Table 1. Description of the locality, habitat, elevation and coordinates (in decimal degrees) of the three fields sampled in Terceira island, Azores. Locality Site Code Habitat Grass coverspecies Elevation (m) Longitude Latitude Santa Barbara-Field_A A Pasture Lolium multiflorum 186 -27.35381 38.70351 Santa Barbara-Field_B B Pasture Lolium multiflorum 301 -27.32578 38.70164 Granja da Universidade-Field_C C Pasture Holcus lanatus 385 -27.17008 38.69777 Funding: Core funding was obtained from the Project PASTURCLIM (ACORES-01-0145- FEDER-000082) financed by FEDER at 85% and by Azorean Public funds at 15% through the Operational Programme Azores 2020. Additional funding was secured from the projects FCT-UIDB/00329/2020-2024 (Thematic Line 1 — integrated ecological assessment of environmental change on biodiversity) and Azores DRCT Pluriannual Funding (M1.1.A/FUNC.UI&D/010/2021-2024). SW is currently being funded by the Ph.D. Grant DRCT - M3.1.a/F/018/2020 (2021-2024). Darwin-Core and GBIF management were funded by the project Portal da Biodiversidade dos Acores (2022-2023) - PO Azores Project - M1.1.A/INFRAEST CIENT/001/2022. Sampling methods Description: The study was conducted in three intensive pastures on Terceira Island (Azores) (Fig. 1). In each field, 20 plots (1 x 1 m) were set up in an area of 100m? where cattle were not allowed. Amongst those 20 plots, 10 were randomly chosen to be surrounded by an OTCs (in order to simulate an increase of +1.2°C average), while the other 10 were considered as control plots. OTCs were built including a 1 m? plot and a margin of 25 cm all around. The aim of this margin was to allow the same set-up of the pitfall traps as in the control plots (e.g. with one pitfall trap at each corner); it also allows free space for scientists to enter inside the OTCs without stepping on the plot. Temperature and relative humidity were recorded through data loggers (Easy Log: EL-USB-2) in control plots and inside OTCs. Sampling description: The focus of the study were the arthropods associated with pasture for foraging production. As OTCs represent a physical barrier for flying insects, our focus was made on crawling arthropods. OTCs were raised about 5 cm above the ground and allowed arthropod movement around the experimental area. Pitfall traps were then used for the sampling. Grasses inside each plot were seasonally and manually harvested to evaluate the biomass. Therefore, pitfall traps were set up and collected before harvesting grasses. 6 Wallon S etal Pitfalls were set up for 14 days, in each field, in the winter of 2020. During the summer of 2020, in the fields A and C, pitfall traps were set up for 14 days, while they were set up for 13 days in Field B. Figure 1. EES] Picture and localisation of each field on the island of Terceira. Each experimental area is covered with 10 control plots and 10 plots surrounded by an OTC (Photo credits: Sebeyes Production). Pitfall traps consisted in a 330 ml plastic cups, about 12 cm deep and 8 cm of diameter at the top (Fig. 2). Traps were filled with ethylene glycol. We used car’s cooling liquid at 20% ethylene glycol and added few drops of soap to break the water tension. Specimens collected were then stored into ethanol (96%). For each season (winter and summer), four pitfall traps were set up on each corner of each plot resulting in four traps per plot (Fig. 3). All traps were were active for 14 days, except during the summer, in field B, where the traps were active for 13 days. In the winter (March 2020) and before sorting arthropods, the four traps of each plot were merged into one sample corresponding to the plot. For this reason, for the winter 2020 period, only the pitfall number 1 (PTF_1) appears in the column “eventID” that corresponds to four pitfall traps merged into one single sample. Then in the summer (September 2020), each pitfall trap was kept separately before sorting, resulting in four pitfalls for each plot (PTF_1; PTF_2; PTF_3; PTF_4). In the Event table, the location ID name includes the following information: Assessing the effects of climate change on arthropod abundance in Azorean ... 7 Code Site (A, B or C), Control (C) or Treatment with OTCs (T), Plot Number (1 to 10) _ Year of collection - Month of collection_ Pitfall trap (PTF)_ Pitfall number (1 to 4). For example, the location ID “AC7_2020-09_ PTF_3” corresponds to the “Field A Control Plot number 7_ collected in September 2020_ Pitfall trap _ Number 3” Quality control: After collection, specimens were stored in ethanol (96%) before sorting. Specimens, adults and juveniles, were identified in the laboratory by a trained parataxonomist (Sophie Wallon) and organised following a system of morphospecies (Oliver and Beattie 1996). Final identification was done by the senior author (Paulo A.V. Borges). we 7 / 5 pe. Figure 2. EES] A pitfall trap. The trap was then covered with a plastic dish raised from the ground to avoid overflow of the trap due to eventual rainfall (Photo credit: Sophie Wallon). 8 Wallon S etal Figure 3. EES Set-up of an OTC plot (a) and a control plot (b) (Photo credits: Sophie Wallon) For each species identified, a colonisation status (Endemic, Native (non-endemic), Introduced, Indeterminate) named as “establishmentMeans’” in the Occurrence table, was attributed following Borges et al. (2022). Step description: Specimens were identified, based on the Azorean arthropods collection “Dalberto Teixeira Pombo Insect Collection (DTP), University of Azores” created and maintained by Professor Paulo A.V. Borges. A new collection reference was created, in the framework of the project PASTURCLIM, referencing each species occurring in the present dataset. If the specimen observed did not correspond to species/morphospecies recorded in any specimen already recorded in the Azorean arthropods collection or if its identification was not possible, then a new morphospecies number was attributed to that specimen (identificationRemarks in Occurrence table). Geographic coverage Description: Terceira Island, Azores, Portugal. Coordinates: -27.394 and -27.0150 Latitude; 38.814 and 38.638 Longitude. Taxonomic coverage Description: The following classes and orders of arthropods are covered: Arachnida: Araneae, Opiliones, Pseudoscorpiones; Chilopoda: Lithobiomorpha, Scutigeromorpha; Diplopoda: Julida, Polydesmida; and Insecta: Coleoptera, Dermaptera, Hemiptera, Hymenoptera, Lepidoptera, Neuroptera, Orthoptera, Psocoptera. Assessing the effects of climate change on arthropod abundance in Azorean ... Taxa included: Rank class order order order class order order class order order class order order order order order order order order Scientific Name Arachnida Araneae Opiliones Pseudoscorpiones Chilopoda Lithobiomorpha Scutigeromorpha Diplopoda Julida Polydesmida Insecta Coleoptera Dermaptera Hemiptera Hymenoptera Lepidoptera Neuroptera Orthoptera Psocodea Temporal coverage Notes: Winter 2020 (03-2020): Field A: 20 February 2020 till 5 March 2020 (14 days) Common Name Arachnids Spiders Harvestmen Pseudoscorpions Centipedes Centipedes Centipedes Millipedes Millipedes Millipedes Insects Beetles Earwigs Bugs Ants Moths Lacewings Crickets, Grasshoppers Psocids, Barklice, Booklice Field B: 26 February 2020 till 11 March 2020 (14 days) Field C: 24 February 2020 till 9 March 2020 (14 days) Summer 2020 (09-2020): Field A: 24 August 2020 till 7 September 2020 (14 days) Field B: 25 August 2020 till 7 September 2020 (13 days) 10 Wallon S etal Field C: 27 August 2020 till 10 September 2020 (14 days) Collection data Collection name: Entomoteca Dalberto Teixeira Pombo at University of Azores Collection identifier: DTP Specimen preservation method: All specimens were preserved in 96% ethanol. Curatorial unit: Dalberto Teixeira Pombo insect collection at the University of the Azores (Curator: Paulo A. V. Borges) Usage licence Usage licence: Creative Commons Public Domain Waiver (CC-Zero) Data resources Data package title: Monitoring grassland’s arthropods in an in situ climate change experimentation (Terceira, Azores, Portugal) Resource link: http://ipt.gbif.pt/ipt/resource?r=pasturclim_otc Alternative identifiers: https:/Awww.gbif.org/dataset/22 76a616-3da6-4528-89c4-bcefd34 a4f6e Number of data sets: 2 Data set name: Event Table Character set: UTF-8 Download URL: http://ipt.gbif.pt/ipt/resource?r=pasturclim_otc Data format: Darwin Core Archive Data format version: Version 1.4 Description: The dataset is available on the Global Biodiversity Information Facility platform, GBIF (Wallon et al. 2023). The event table dataset is organied following the Darwin Core Archive (DwCA) format and contains 297 records (eventID). Column label Column description eventID An identifier for every single event and specific to the dataset. samplingProtocol The methods or protocols used during an Event. Assessing the effects of climate change on arthropod abundance in Azorean ... 11 sampleSizeValue sampleSizeUnit samplingEffort eventDate year month verbatimEventDate habitat fieldNotes locationID islandGroup island country countryCode stateProvince municipality locality minimumElevationInMetres maximumElevationInMetres decimalLatitude decimalLongitude geodeticDatum coordinateUncertaintyInMetres coordinatePrecision georeferenceSources Anumeric value for a measurement of the size (time duration, length, area or volume) of a sample in a sampling event. The unit of measurement of the size (time duration, length, area or volume) of a sample in a sampling event. The amount of effort expended during an Event. Date or date range the record was collected. Year of the event. Month of the event. The verbatim original representation of the date and time information. Description of the habitat in which the Event occurred. Note to facilitate the characterisation of the plot treatment: Control plot or plot surrounded by an Open Top Chamber. An identifier for the set of location information (specific to the dataset). Name of the archipelago of the sampling site. Name of the island of the sampling site (Terceira Island). Name of the country of the sampling site. The standard code for the country in which the Location occurs. An identifier for every single event and specific to the dataset. Municipality of the sampling site. Name of the locality. The lower limit of the range of elevation (altitude, usually above sea level), in metres. The highest limit of the range of elevation (altitude, usually above sea level), in metres. Geographic coordinate (Decimal degrees): sampling location Latitude. Geographic coordinate (Decimal degrees): sampling location Longitude. Spatial reference system (SRS) upon which the geographic coordinates given in decimalLatitude and decimalLongitude are based. Coordinates' uncertainty in metres to the site of the true sampling area. A decimal representation of the precision of the coordinates given in the decimalLatitude and decimalLongitude. Amap, gazetteer or other resource used to georeference the Location. Data set name: Occurrences table 12 Wallon S etal Character set: UTF-8 Download URL: hitp://ipt.gbif.pt/ipt/resource?r=pasturclim_otc Data format: Darwin Core Archive Data format version: version 1.4 Description: The dataset is available on the Global Biodiversity Information Facility platform, GBIF (Wallon et al. 2023). The occurrence table dataset is organised following the Darwin Core Archive (DwCA) format and contains 6051 records (occurrencelD). Column label Event ID type licence institutionID collectionID institutionCode collectionCode datasetName basisOfRecord occurrencelD recordedBy organismQuantity organismQuantityType sex lifeStage establishmentMeans occurrenceRemarks identifiedBy dateldentified identificationRemarks Column description An identifier for every single event and specific to the dataset. The type of the related resource. Information about rights held in and over the resource. An identifier for the institution having custody of the object(s) or information referred to in the record. An identifier for the collection or dataset from which the record was derived. The name in use by the institution having custody of the object(s) or information referred to in the record. The acronym identifying the collection or dataset from which the record was derived. The name identifying the dataset from which the record was derived. The specific nature of the data record. An identifier built as a "Globally Unique |Dentifier". Names of people responsible for recording the original occurrence. A number for the quantity of organisms. The type of quantification system used for the quantity of organisms. The sex of the biological individual(s) represented in the occurrence. The age class or life stage of the Organism(s) at the time the Occurrence was recorded. The process of establishment of the species in the location, using a controlled vocabulary: 'native’, ‘introduced’, indeterminate’. Comments or notes about the Occurrence mentioning the 'endemic' species. Names of people who assigned the Taxon to the subject. The date on which the subject was determined as representing the Taxon. Dalberto Teixeira Pombo (DTP) collection's morphospecies number attributed to specimens identified. Assessing the effects of climate change on arthropod abundance in Azorean ... 13 scientificName kingdom phylum class order family genus subgenus specificEpithet infraspecificEpithet taxonRank Full scientific name, with authorship and date information, if known. When identification to species level was not possible, then it is the name in the lowest level taxonomic rank that can be determined. Scientific name of the kingdom in which the taxon is classified. Scientific name of the phylum in which the taxon is classified. Scientific name of the class in which the taxon is classified. Scientific name of the order in which the taxon is classified. Scientific name of the family in which the taxon is classified. Scientific name of the genus in which the taxon is classified. Scientific name of the sub genus in which the taxon is classified. The species epithet of the scientific name. Name of the lowest or terminal infraspecific epithet of the scientific name. The taxonomic rank of the most specific name in the scientific name. scientificNameAuthorship The authorship information related to the scientific name. Additional information We collected a total 41,351 specimens belonging to four classes, 15 orders, 60 families and 171 morphospecies (including 34 taxa identified only at order, family or genus level). Therefore, 137 taxa have a scientific name associated (n = 38918) (from now on “species’”) Table 2. Table 2. Inventory of arthropods collected in three pastures (Fields A, B and C) in Terceira Island (Azores, Portugal) in control plots (C) and plots surrounded by an OTC (T). AC - Field A control plot; AT - Field A plot OTC; BC - Field B control plot; BT - Field B plot OTC; CC - Field C control plot; CT - Field C plot OTC. The list includes only the specimens identified at species-level. Class, order, family and scientific name follow alphabetical sequence. Colonisation statuses, based on Borges et al. (2022) and abundance per field and treatment, are provided. Colonisation status (Origin): END - Endemic; NAT - native non-endemic; INTR - introduced; IND - indeterminate. Family Scientific Name Origin AC AT BC BT CC T Total Arachnida Araneae Dysderidae Dysdera crocata C. L. Koch, 1838 INTR) 3 3 1 11 2 12 32 Gnaphosidae Marinarozelotes lyonneti (Audouin, INTR 1 1 1826) 14 Family Gnaphosidae Linyphiidae Linyphiidae Linyphiidae Linyphiidae Linyphiidae Linyphiidae Linyphiidae Linyphiidae Linyphiidae Linyphiidae Linyphiidae Lycosidae Mimetidae Oecobiidae Tetragnathidae Theridiidae Zodariidae Arachnida Leiobunidae Sclerosomatidae Arachnida Chthoniidae Wallon S etal Scientific Name Zelotes aeneus (Simon, 1878) Agyneta fuscipalpa (C. L. Koch, 1836") Erigone atra Blackwall, 1833 Erigone autumnalis Emerton, 1882 Erigone dentipalpis (Wider, 1834) Mermessus bryantae (Ivie & Barrows, 1935) Mermessus fradeorum (Berland, 1932) Neriene clathrata (Sundevall, 1830) Oedothorax fuscus (Blackwall, 1834) Ostearius melanopygius (O. Pickard- Cambridge, 1880) Prinerigone vagans (Audouin, 1826) Tenuiphantes tenuis (Blackwall, 1852) Pardosa acorensis Simon, 1883 Ero furcata (Villers, 1789) Oecobius navus Blackwall, 1859 Pachygnatha degeeri Sundevall, 1830 Cryptachaea blattea (Urquhart, 1886) Zodarion atlanticum Pekar & Cardoso, 2005 Opiliones Leiobunum blackwalli Meade, 1861 Homalenotus coriaceus (Simon, 1879) Pseudoscorpiones Chthonius ischnocheles (Hermann, 1804) Origin INTR INTR INTR INTR INTR INTR INTR INTR INTR INTR INTR INTR END INTR INTR INTR INTR INTR INTR AC 98 109 170 23 13 43 AT 58 88 52 151 69 BC ras) 87 20 72 12 30 33 73 BT cc T 2 1 1 1 1 182 67 67 54 9 95 569 248 5 25 42 24 99 102 1 65 975 473 44 3 5 13 14 80 41 71 1 50 28 1 67 7 34 3 1 2621 1313 283 71 68 258 46 334 141 3934 501 Assessing the effects of climate change on arthropod abundance in Azorean ... Family Neobisiidae Chilopoda Lithobiidae Chilopoda Scutigeridae Diplopoda Blaniulidae Blaniulidae Blaniulidae Julidae Julidae Diplopoda Paradoxosomatidae Polydesmidae Insecta Anthicidae Aphodiidae Apionidae Carabidae Carabidae Carabidae Carabidae Carabidae Carabidae Scientific Name Neobisium maroccanum Beier, 1930 Lithobiomorpha Lithobius pilicornis pilicornis Newport, 1844 Scutigeromorpha Scutigera coleoptrata (Linnaeus, 1758) Julida Blaniulus guttulatus (Fabricius, 1798) Nopoiulus kochii (Gervais, 1847) Proteroiulus fuscus (Am Stein, 1857) Cylindroiulus propinquus (Porat, 1870) Ommatoiulus moreleti (Lucas, 1860) Polydesmida Oxidus gracilis (C.L. Koch, 1847) Polydesmus coriaceus Porat, 1870 Coleoptera Hirticollis quadriguttatus (Rossi, 1792) Calamosternus granarius (Linnaeus, 1767) Aspidapion radiolus (Marsham, 1802) Agonum muelleri muelleri (Herbst) Amara aenea (De Geer, 1774) Anisodactylus binotatus (Fabricius, 1787) Bembidion ambiguum Dejean, 1831 Calosoma olivieri Dejean, 1831 Harpalus distinguendus distinguendus (Duftschmidt, 1812) Origin INTR NAT INTR INTR INTR INTR INTR INTR INTR INTR NAT INTR NAT INTR INTR INTR INTR NAT INTR AC 13 504 107 139 AT 39 278 72 13 198 BC 21 108 87 16 23 BT 15 25 164 33 30 13 cc 25 19 60 215 190 13 186 10 276 11 88 15 Total 67 53 10 1074 19 942 32 404 373 16 Family Carabidae Carabidae Carabidae Carabidae Carabidae Carabidae Carabidae Chrysomelidae Chrysomelidae Coccinellidae Coccinellidae Coccinellidae Corylophidae Curculionidae Curculionidae Curculionidae Curculionidae Curculionidae Dryophthoridae Dryophthoridae Dryopidae Elateridae Wallon S etal Scientific Name Laemostenus complanatus (Dejean, 1828) Notiophilus quadripunctatus Dejean, 1826 Ophonus ardosiacus (Lutshnik, 1922) Paranchus albipes (Fabricius, 1796) Pseudoophonus rufipes (De Geer, 1774) Pterostichus vernalis (Panzer, 1796) Stenolophus teutonus (Schrank, 1781) Epitrix cucumeris (Harris, 1851) Epitrix hirtipennis (Melsheimer, 1847) Rhyzobius lophanthae (Blaisdell, 1892) Scymnus interruptus (Goeze, 1777) Scymnus nubilus Mulsant, 1850 Sericoderus lateralis (Gyllenhal, 1827) Coccotrypes carpophagus (Hornung, 1842) Mecinus pascuorum (Gyllenhal, 1813) Orthochaetes insignis (Aubé, 1863) Sitona discoideus Gyllenhal, 1834 Tychius picirostris (Fabricius, 1787) Sitophilus oryzae (Linnaeus, 1763) Sphenophorus abbreviatus (Fabricius, 1787) Dryops luridus (Erichson, 1847) Aeolus melliculus moreleti Tarnier, 1860 Origin INTR NAT INTR INTR INTR INTR NAT INTR INTR INTR NAT NAT INTR INTR INTR NAT INTR INTR INTR INTR NAT INTR 287 247 49 31 52 AT 191 127 18 16 10 12 BC BT cC 44 48 28 3343 2480 285 19 6 567 1 30 1 1 2 1 1 8 24 10 1 8 7 5 14 12 5 5 T 170 466 11 Total 6 570 1304 28 109 64 26 86 Assessing the effects of climate change on arthropod abundance in Azorean ... Family Elateridae Hydrophilidae Hydrophilidae Latridiidae Mycetophagidae Mycetophagidae Nitidulidae Nitidulidae Nitidulidae Nitidulidae Phalacridae Ptiliidae Scarabaeidae Scarabaeidae Staphylinidae Staphylinidae Staphylinidae Staphylinidae Staphylinidae Staphylinidae Staphylinidae Staphylinidae Staphylinidae Scientific Name Melanotus dichrous (Erichson, 1841) Cercyon haemorrhoidalis (Fabricius, 1775) Sphaeridium bipustulatum Fabricius, 1781 Cartodere nodifer (Westwood, 1839) Litargus balteatus Le Conte, 1856 Typhaea stercorea (Linnaeus, 1758) Carpophilus fumatus Boheman, 1851 Epuraea biguttata (Thunberg, 1784) Phenolia limbata tibialis (Boheman, 1851) Stelidota geminata (Say, 1825) Stilbus testaceus (Panzer, 1797) Ptenidium pusillum (Gyllenhal, 1808) Onthophagus taurus (Schreber, 1759) Onthophagus vacca (Linnaeus, 1767) Aleochara bipustulata (Linnaeus, 1760) Aleochara verna Say, 1833 Aloconota sulcifrons (Stephens, 1832) Amischa analis (Gravenhorst, 1802) Amischa forcipata Mulsant & Rey, 1873 Anotylus nitidifrons (Wollaston, 1871) Anotylus nitidulus (Gravenhorst, 1802) Astenus lyonessius (Joy, 1908) Atheta aeneicollis (Sharp, 1869) Origin INTR INTR INTR INTR INTR INTR INTR INTR INTR INTR NAT INTR INTR INTR IND IND IND IND IND IND IND IND IND AC AT 3 1 39 «| 3 1 15 «11 3 1 4 1 1 2 1 1 1 2 8 2 13 36 «| 21 3 1429 621 9 3 BC BT 13 (6 3 8 1 1 3 3 11 13 1 1 2 1 39 ~—s «68 125 33 cc 16 31 408 24 284 13 110 47 12 17 Total 29 46 682 31 2539 18 16 18 Wallon S etal Family Scientific Name Origin AC AT BC BT CC T Total Staphylinidae Atheta fungi (Gravenhorst, 1806) IND 42 1 43 Staphylinidae Atheta palustris (Kiesenwetter, 1844) IND 2 2 5 9 Staphylinidae Atheta pasadenae Bernhauer, 1806 IND 3 5 3 11 Staphylinidae Carpelimus corticinus (Gravenhorst, IND 1 1 1806) Staphylinidae Carpelimus zealandicus (Sharp, INTR 6 6 1900) Staphylinidae Coproporus pulchellus (Erichson, IND 1 1 1839) Staphylinidae Cordalia obscura (Gravenhorst, IND 265 61 80 50 152 75 683 1802) Staphylinidae Gabrius nigritulus (Gravenhorst, IND 1 6 1 8 1802) Staphylinidae Gyrohypnus fracticornis (Miller, IND 10 4 29 32 26 17 118 1776) Staphylinidae Ocypus olens (Miller, 1764) IND 97 108 303 484 6 23 1021 Staphylinidae Oligota pumilio Kiesenwetter, 1858 IND 18 57 2 16 12 24 129 Staphylinidae Oligota pusillima (Gravenhorst, IND 2 5 4 11 1806) Staphylinidae Philonthus longicornis Stephens, IND 3 3 1832 Staphylinidae Philonthus quisquiliarius IND 1 1 quisquiliarius (Gyllenhal, 1810) Staphylinidae Pseudoplectus perplexus (Jacquelin IND 2 1 3 du Val, 1854) Staphylinidae Quedius simplicifrons Fairmaire, IND 2 13 14 29 1862 Staphylinidae Rugilus orbiculatus (Paykull, 1789) IND 802 214 159 148 108 41 1472 Staphylinidae Sepedophilus lusitanicus Hammond, IND 4 3 1 8 1973 Staphylinidae Stenomastax madeirae Assing, 2003 IND 12 1 54 11 78 Staphylinidae Sunius propinquus (Brisout de IND 3 3 Barneville, 1867) Staphylinidae Tachyporus chrysomelinus IND 3 2 5 (Linnaeus, 1758) Assessing the effects of climate change on arthropod abundance in Azorean ... Family Staphylinidae Staphylinidae Tenebrionidae Insecta Anisolabididae Forficulidae Insecta Anthocoridae Aphididae Cicadellidae Cicadellidae Cydnidae Delphacidae Delphacidae Lygaeidae Nabidae Rhyparochromidae Rhyparochromidae Saldidae Insecta Apidae Formicidae Formicidae Formicidae Scientific Name Tachyporus nitidulus (Fabricius, 1781) Xantholinus longiventris Heer, 1839 Blaps lethifera Marsham, 1802 Dermaptera Euborellia annulipes (Lucas, 1847) Forficula auricularia Linnaeus, 1758 Hemiptera Anthocoris nemoralis (Fabricius, 1794) Rhopalosiphoninus latysiphon (Davidson, 1912) Anoscopus albifrons (Linnaeus, 1758) Euscelidius variegatus (Kirschbaum, 1858) Geotomus punctulatus (A. Costa, 1847) Kelisia ribauti Wagner, 1938 Megamelodes quadrimaculatus (Signoret, 1865) Kleidocerys ericae (Horvath) Nabis pseudoferus ibericus Remane, 1962 Beosus maritimus (Scopoli, 1763) Scolopostethus decoratus (Hahn, 1833) Saldula palustris (Douglas) Hymenoptera Bombus ruderatus (Fabricius, 1775) Hypoponera eduardi (Forel, 1894) Lasius grandis Forel, 1909 Linepithema humile (Mayr, 1868) Origin AC AT IND 13-38 IND 1 1 INTR 1 INTR 1 5 INTR 1802 1482 NAT 2 INTR 4 17 NAT 24 15 NAT 1 3 NAT 245 60 NAT NAT NAT NAT 7 1 NAT 18 4 NAT INTR NAT 89 91 NAT 230 310 INTR) 2 36 BC 20 75 16 22 308 192 BT cc 26 6 18 9 185 2 6988 1 45 22 4 6 1 23 19 3 14 1 1 1 161 305 89 20 30 67 19 Total 98 38 24 128 10 333 28 22 14 24 55 1193 20 Wallon S etal Family Scientific Name Origin AC AT BC BT CC T Total Formicidae Monomorium carbonarium (F. Smith, NAT = 3 10 13 1858) Formicidae Tetramorium caespitum (Linnaeus, NAT 1470 1296 204 89 3059 1758) Insecta Lepidoptera Noctuidae Mythimna unipuncta (Haworth, NAT 5 1 6 1809) Insecta Neuroptera Chrysopidae Chrysoperla agilis Henry et al.,2003 NAT = 1 1 7 9 Chrysopidae Chrysoperla lucasina (Lacroix, 1912) NAT = 1 1 7 9 Insecta Orthoptera Gryllidae Eumodicogryllus bordigalensis INTR 23 8 56 13 80 20 200 (Latreille, 1804) Gryllidae Gryllus bimaculatus De Geer, 1773. INTR = 9 9 5 2 25 Insecta Psocodea Ectopsocidae Ectopsocus briggsi McLachlan, 1899 INTR 1 1 TOTAL 8909 6039 5859 5412 7636 5063 38918 Regarding the colonisation status, introduced species (also those with an "indeterminate" colonisation status that are most probably exotic species (n = 7622)) represented 71% (n = 29664 specimens) of the total abundance and 75% (129 species) of the total richness; 28% (n = 11608 specimens) of the total abundance and 19% (33 species) of the total richness were represented by native non-endemic species; finally, endemic species represented 0.2% (n = 79 specimens) of the total abundance and 1% (one species) of the total richness. Spiders (Arachnida, Araneae) and beetles (Insecta, Coleoptera) were the two most diversified and abundant groups. Altogether, Pseudoophonus rufipes (De Geer, 1774) (Coleoptera, Carabidae), an omnivorous ground beetle, dominated the samples and represented 17% of the total arthropod abundance. This ground beetle dominated summer samples, while the predator rove beetle Ocypus olens (Muller, 1764) (Coleoptera, Staphylinidae) dominated winter samples. The dominant spider was Oedothorax fuscus (Blackwall, 1834) (Araneae, Linyphiidae) representing 5% of overall arthropod abundance. It was also the most dominant spider species in summer samples, while winter samples were dominated by the spider Erigone dentipalpis (Wider, 1834) (Araneae, Linyphiidae). Assessing the effects of climate change on arthropod abundance in Azorean ... 21 Some species distributions varied with elevation and consequently with the type of field. The ground-beetle Notiophilus quadripunctatus Dejean, 1826 (Coleoptera, Carabidae) dominated winter samples (n = 464, 14%) at the low altitude field (field A) and the European earwig Forficula auricularia Linnaeus, 1758 (Dermaptera) was the most abundant arthropod in the summer samples (n = 3177, 24%) of the same field; at the intermediate altitude field (field B), the rove beetle Ocypus olens (Muller, 1764) (Coleoptera, Staphylinidae) (n = 579, 25%) dominated winter samples and the ground beetle Pseudoophonus rufipes (De Geer, 1774) (Coleoptera, Carabidae) (n = 5822, 61%) summer samples; finally, the rove beetle Amischa analis (Gravenhorst, 1802) (Coleoptera, Staphylinidae) was the most abundant species during the winter (n = 211, 14%) in the upper altitude field (field C), while the harvestman Leiobunum blackwalli (Arachnida, Opiliones) (n = 3882, 33%) was the dominant species in summer. Our study is responding to the need to have baseline data to understand long-term insect decline patterns (Seibold et al. 2019). Setting monitoring programmes using arthropods is important for understanding and managing pest populations, detecting environmental changes, assessing the impact of management practices and identifying potential threats to biodiversity (Borges et al. 2019). Acknowledgements We gratefully acknowledge Virginia Pires for giving permission to use pastures A and B. We also thank the Bachelor student Mauro Matos, for his help with the fieldwork and sorting the samples prior to species assignment by an expert taxonomist (P.A.V.B) during his internship. This work was funded by the project PASTURCLIM (ACORES-01-0145-FEDER-000082) financed by FEDER at 85% and by Azorean Public funds at 15% through the Operational Programme Azores 2020. All authors were also funded by FCT-UIDB/00329/2020-2024 (Thematic Line 1 — integrated ecological assessment of environmental change on biodiversity) and Azores DRCT Pluriannual Funding (M1.1.A/FUNC.UI&D/010/2021-2024). Darwin-Core and GBIF management were funded by the project Portal da Biodiversidade dos Acores (2022-2023) - PO Azores Project - M1.1.A/INFRAEST CIENT/001/2022. SW is currently being funded by the Ph.D. Grant DRCT - M3.1.a/F/018/2020. Author contributions SW, PAVB and RBE contributed to study conceptualisation. SW, CDM and RBE performed the fieldwork. SW and PAVB performed the species sorting and identification. SW, NT and PAVB contributed to dataset preparation and data analysis. All authors contributed to manuscript writing. 22 Wallon S etal References ° Aguiar FC, Bentz J, Silva JM, Fonseca AL, Swart R, Santos FD, Penha-Lopes G (2018) Adaptation to climate change at local level in Europe: an overview. 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