Abstract
Neotropical efforts for arthropod conservation are still insufficient. Some species from the Neotropical region have been assessed by the IUCN Red List criteria (IRL), while others have been assessed using local red lists (LRLs). Unfortunately, these two lists are completely unconnected, even when they use similar criteria to evaluate extinction risks. Therefore, an overview of arthropod conservation using the IRL and LRLs to determine general and common patterns for arthropods in the Neotropical region is still missing, and this was the main goal of our study. The LRLs provided significant information about the species under threat in the Neotropical region, particularly on endemic ones. Both the IRL and LRLs determined that habitat loss (agricultural use land than more 50%) is the most critical threat of arthropod diversity in this region, but other main threats were also found. The conservation efforts for arthropods in Neotropical countries have been developed heterogeneously. Special efforts are necessary to countries without red lists as large countries, islands, or island-like bioregions. So far, the most threatened arthropod diversity in the Neotropical region belongs to the Caribbean islands. Insect conservation is not just about red-listing. It is also crucial to conduct conservation action as habitat management and restoration, citizen science or specific policy to fight the illegal trade. The integration of LRLs with the IRL helped identify common threats to arthropod conservation and also facilitated the macroscopic evaluation of this topic. It is crucial to conserve Neotropical arthropods to protect animal biodiversity.
Implications for insect conservation
The homologation of the LRLs in the IUCN would increase the representation of endemic arthropods generating (1) an increase in funding for research and (2) for local conservation policies such as ecological restoration, and their use as bioindicators of environmental impact on investment projects in agriculture, mining, forestry, and urbanization.
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Introduction
Long-term projections have predicted that many species could become extinct in the future (Pimm and Brooks 2000; Thomas et al. 2004; Dirzo et al. 2014). The increase in extinction risk includes many anthropogenic factors, such as habitat loss, climate change, overexploitation, pollution, and the interplay among them (Brook et al. 2008; Dirzo et al. 2014; Bonebrake et al. 2019). Many of these assessments and extinction risk analyses have been extensively performed on charismatic vertebrates such as mammals, birds, amphibians, or vascular plants (Owens and Bennett 2000; Wake and Vredenburg 2008; Pimm et al. 2014; Ceballos et al. 2015), though arthropod biodiversity is also threatened by similar anthropic factors in many parts of the world. Many authors have emphasized that land use changes, chemical and light pollution, invasive species and global warming between others are major drivers of arthropod decline (Keller and Largiadèr 2003; Courchamp et al. 2006; Huey et al. 2012; Dirzo et al. 2014; Jerez et al. 2015; Macgregor et al. 2015; Maxwell et al. 2016; Ceballos et al. 2017; Aizen et al. 2019; Cardoso et al. 2020), even causing modern insect extinctions and defaunation (Dunn 2005; Dirzo et al. 2014). Arthropods are the largest animal group (Mora et al. 2011; Stork et al. 2015), and their importance in the maintenance of ecosystems is undoubted. Arthropods are essential for all terrestrial ecosystems because they realize pollination, dung burial, biological control, nutrient recycling, and cultural services (Cardoso et al. 2011b; Leather 2015; IPBES 2016; Traveset et al. 2017). However, conservation efforts for arthropods are still scarce, even though their decline worldwide has been conspicuous and widely advertised in many ways and taxonomic groups (Hochkirch 2016; Baur et al. 2020; Bell et al. 2020; Hallman et al. 2020; Roth et al. 2020). Therefore, an overview of the potential gaps in knowledge regarding the conservation status of arthropods is necessary to identify common extinction risk patterns.
Based on the available literature on insects, Sánchez-Bayo and Wyckhuys (2019) recently reviewed the worldwide decline of entomofauna and its drivers. The authors concluded that dramatic decline rates may lead to the extinction of the world's insect species over the next few decades. Terrestrial and aquatic insects, both specialists and generalist species, are affected by habitat loss, pollution, pathogens, invasive species, and climate change (Sánchez-Bayo and Wyckhuys 2019). However, this study showed an important gap in knowledge about arthropod conservation and its threats to the most biodiverse area of the planet: the Neotropical region. Sánchez-Bayo and Wyckhuys (2019) considered Puerto Rico, Costa Rica, and Brazil, excluding approximately 86% of the countries in the Neotropical region. Consequently, although Neotropical countries possess important biodiversity hotspots (Myers et al. 2000; Barboza and Defeo 2015) and mega-diverse countries as Colombia, we have little information about the patterns of Neotropical arthropod species and their potential drivers of decline.
The International Union for Conservation of Nature Red List of Threatened Species (IUCN Red List; henceforth, IRL) has provided criteria for assigning threat statuses to all the biota on the planet over the last 40 years (Rodrigues et al. 2006), which has an almost constant updating policy of their database. The IUCN criteria are useful tools that provide information about extinction risk; they are used to compare taxonomic groups, habitats, countries, and regions (Abellán et al. 2005; Juslén et al. 2013; Maes et al. 2019). Alternatively, local red lists (also called national or regional red lists; henceforth LRLs) can also be used to assess biodiversity and provide complementary information to make key conservation decisions and national policies (Rodrigues et al. 2006; Miller et al. 2007; Bachman et al. 2018; Govorushko and Nowicki 2019), although these red lists are often not updated. Comparisons between the IRL and LRLs are scarce in the literature (Brito et al. 2010). In fact, 20% of the species assessed as threatened by LRLs have not been globally assessed for the IUCN Red List, and 14% of the species evaluated by IRL have not been assessed in countries where these species live (Brito et al. 2010). This decoupling between lists makes it difficult to understand the conservation problems of a region or taxon.
Due to the absence of patterns that show the current conservation status of arthropods in the Neotropical region, we offer an overview of this topic. In this work, we compare the available data on arthropod species by determining the proportion of threatened species IUCN category (i.e. VU, EN and CR) per taxon and country using the lists of arthropods assessed by the IRL and LRLs in each Neotropical country. Both lists could provide complementary information in the extinction risks or threats for Neotropical arthropods. To test whether there are biases in the classification of taxonomic groups in both lists, we propose that (1) the number of arthropod species categorized in the LRLs are higher than those proposed by IRL and (2) that the threats-governing threatened arthropod species are similar in IRL and LRLs. Furthermore, (3) the relationship between the threatened and assessed species in the different conservation categories, and the total area of each country in the Neotropical region would be greater in those small countries with high endemism than in large countries with low endemism.
Material and methods
IUCN and local red list datasets
We used two main datasets to obtain the total number of arthropod species assessed under a threat category in each Neotropical country: (A) threatened species assessed under the IRL Criteria from 2006 to 2019 (IUCN 2012a), and (B) threatened species assessed under the LRLs for each Neotropical country up to 2019 and adopting the IRL criteria at the regional and national levels (IUCN 2012b). Some countries, such as Mexico, also have red lists at the sub-regional level (e.g. the red book of Veracruz) that use a system similar to that of the IUCN and, therefore, were considered LRLs. In addition, some official red lists or national prohibited hunting laws in some countries, such as Belize, Chile, Costa Rica, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, and Panamá were not considered because they did not apply the IUCN criteria (Brenes et al. 1999; SAG 2015) and cannot be compared. Other countries not present LRLs with IUCN criteria or similar. For both IRL and LRLs, the arthropods assessed were proposed by entomologists and conservation biologists based on the information available and experience on the different taxonomic groups in each country. To compare both list types, we used the land regions characterized by the IUCN and those that belong to Neotropical countries: Caribbean islands (n = 29), Mesoamerica (n = 8), and South America (n = 14). The Caribbean islands that belong to another country, such as the Virgin Islands, Falkland (or Malvinas) or Guadeloupe, were considered independent units in this study for the search of red lists and their subsequent analyses. Additionally, islands that are administratively shared between two countries, such as the Virgin Islands (USA/UK) or Saint Martin (France/Netherlands) were considered independent.
For the IRL, we first filtered the threatened species available by taxonomy using the (1) Insect, (2) Arachnid, (3) Diplopod, and (4) Chilopod groups. Second, we only considered the Vulnerable (VU), Endangered (EN), and Critically Endangered (CR) groups because these are the taxa that currently need more attention. In addition, we separated endemic and native species. For each resulting filtered species, we obtained the threat(s) provided by IUCN, which were classified by (a) habitat loss, (b) pollution, (c) climate change, (d) invasive species, (e) overexploitation, and (f) tourism. To homogenize the criteria used to define threats by taxa between IRL and LRL, we used “habitat loss” when a particular species was classified by “residential & commercial development”, “Agriculture & aquaculture”, “Energy production & mining” and “Transportation & service corridors”. We used the same criteria when using the word “tourism” when it was recreational and leisure-related activities that threatened the species. As each species can experience more than a single threat, we considered all possible causes described in the lists provided by the authors and, therefore, noted one or several threats. Finally, we identified the ecosystem type(s) that each assessed species inhabits. These were classified as (i) forest, (ii) aquatic ecosystems (iii) shrublands, (iv) grasslands, (v) desert, and (vi) caves.
For LRLs, we visit and consult official pages of the ministries of the environment (or similar), reports, red books, lists of species or documents related and we reviewed the assessed arthropods when the lists were available (Fig. 1). In each case, we reviewed whether government entities (e.g. local Ministry of the Environment) or researchers had adopted the IRL criteria and applied it at the regional or local level to assess arthropod species. We selected the same filters for the arthropod groups, threatened criteria, ecosystem type, and threats mentioned above. Endemic species were also categorized by the same system mentioned above. The LRL for Chile was obtained from the MMA (Ministerio del Medio Ambiente de Chile 2019); for Peru, from SERFOR (2018); for Brazil, from ‘Livro Vermelho da fauna Brasileira Ameaçada de Extinção’ of the Instituto Chico Mendes de Conservação da Biodiversidad (2018; henceforth, ICM); for Colombia, from Amat-García et al. (2007); for Venezuela, from Rodriguez et al. (2015); for Jamaica, from the national Wildlife Act (2017); for Dominican Republic, from the Ministerio del Medio Ambiente y Recursos Naturales (2018); for Cuba, from Hidalgo-Gato et al. (2016), and for Veracruz state in Mexico, the red book of threatened arthropod species by Hernández-Baz and Rodríguez-Vargas (2014; Fig. 1).
To determine whether there were significant differences between the taxonomic groups assessed by the IRL or LRLs, we tested whether the number of species classified under the conservation categories and the total number of classified species were distinct between both red list types. To test this, we used a chi-square test for the given probabilities using R software (R Core Team 2019). We only used taxonomic groups with representation in both list types (i.e. Araneae, Coleoptera, Hymenoptera, Lepidoptera, Odonata, and Orthoptera). The total minimum value used for comparisons (i.e. the sum of all conservation categories for different taxonomic groups) was five.
Threatened species per country area
To determine the countries that have the highest proportions of threatened arthropods, given the area of each country, we proposed a simple index that considers the correction by area. For this, we first considered that the threat categories (CR, EN, and VU) have different levels of importance and, therefore, we assigned values to each of these categories. We used numerical values (NVs) for each species assessed by country (i) and assigned them the values that the IUCN proposed as thresholds for the different threat categories. These values were as follows: 80 for CR (> 80% decrease = critically endangered); 50 for EN (> 50% decrease = endangered), and 30 for VU (> 30% decrease = vulnerable; IUCN 2012a, b; Maes et al. 2019). The sum of the NVs was posteriorly corrected for the geographical area of each country, but to smooth the spatial differences between each country, we used the square root of each area. Then, we generated the Threat per Area index (TpA) as follows:
This index assumes values ranging from 0 → ∞, where the higher values represent the countries with the highest proportions of threatened arthropods per area. Therefore, this index will be higher in countries with a high number of threatened species and a small area than in countries with a low or similar number of threatened species but a large area. Countries with fewer than three of the species assessed were excluded.
Results
IUCN red list
Of the 1303 assessed Neotropical species in the IRL up to 2019, only 154 (11.81%) species were classified in any threat category: VU = 65, EN = 66, and CR = 23 (Fig. 1A–D; Table 1; Supplementary Table S1). South American countries had the highest number of arthropod species classified under a threat category (n = 91), followed by Mesoamerica (n = 47) and the Caribbean Islands (n = 15; Fig. 1). The most represented insect order in all threat categories (i.e., VU, EN and CR) was Odonata (n = 75; 49.01%), followed by Hymenoptera (n = 25; 16.33%) and Coleoptera (n = 17; 11.11%) (Fig. 2A). These assessed groups are strongly influenced by IUCN SSC specialist groups. The species assessed under a threat category were mainly endemic (n = 139), with Brazil being the most numerous (n = 35; 25.17%), followed by Colombia and Mexico, both with 21 endemic species, or 15.11%, each (Fig. 2B). According to the IRL, habitat loss (n = 118; 73.69%) due to land use change, climate change (n = 25; 15.52%), and invasive species (n = 24; 14.90%) were the greatest threats for Neotropical arthropod biodiversity (Fig. 3A, B). Agriculture, urbanization, and wood harvesting affected 60 (50.84%), 56 (47.45%), and 54 (45.76%) of the total species, respectively, representing the most common land cover changes that impact Neotropical arthropods. Based on this, forests (n = 90; 55.90%) and aquatic (n = 67; 41.61%) were the most threatened Neotropical ecosystems (Fig. 3B).
Local red list
Of the 2862 assessed species under LRL levels up to 2019, only 573 (20.02%) species were classified in any threat category: VU = 239, EN = 203, and CR = 131 (Fig. 1E–H; Table 1, Supplementary Table S2). South American countries had the highest number of arthropod species assessed under a threat category (n = 392), followed by the Caribbean Islands (n = 153) and Mesoamerica (n = 31; Supplementary Table S3). The most assessed arthropod orders were Lepidoptera (n = 186; 32.46%), Coleoptera (n = 107; 18.67%), Hymenoptera (n = 51; 8.90%), and Araneae (n = 32; 5.58%) (Fig. 2A; Supplementary Table S3). The threatened species were mostly endemic or rare, with a narrow range and/or few records (n = 501; 87.58%), with Brazil being the most numerous (n = 208; 36.36%), followed by the Dominican Republic (n = 91; 15.09%), Venezuela (n = 53; 9.26%), and Cuba and Chile (both with n = 48 and 8.39%; Fig. 2B). Additionally, Lepidoptera was the most classified insect group under threat categories in Brazil, Dominican Republic, Venezuela, and Cuba (Fig. 4A, B, D, and E). In addition, Theraphosidae, Coleoptera, and Hymenoptera were the other highly classified species under conservation categories in Brazil (Fig. 4A); Coleoptera and Diptera were the main taxonomic groups assessed under threat categories in Chile (Fig. 4C); Orthoptera was the secondary classified taxonomic group under threat categories in the Dominican Republic (Fig. 4B), and Hymenoptera was the second most assessed insect order under threat categories in Cuba and Colombia, respectively (Fig. 4E and F; Supplementary Table S3). On the other hand, habitat loss (n = 449; 78.49%) driver by wood harvesting (n = 119; 26.50%), urbanization (n = 90; 20.04%), mining and cattle (n = 49; 10.91% each) or croplands (n = 129; 28.73%); overexploitation (n = 73, 12.76%), and tourism (n = 66; 11.53%) were the most reported threats by the LRLs (Fig. 3A). Forests (n = 300; 52.44%) and caves (n = 86; 15.0 1%) were the most threatened Neotropical ecosystems (Fig. 3B).
Common threats between the IRL and LRLs
Overall, the results suggest that there are common threats, irrespective of the red list type. For instance, 97.90% (n = 560) of the taxa considered in this study are threatened by habitat loss. Lepidoptera (31.79%), Coleoptera (20%), and Odonata (15.18%) are the orders most linked to this threat. Secondarily, tourism affected 11.36% of the groups, mainly Coleoptera (23.08%) and Collembola (18.46%). Finally, 10.83% of the taxonomic groups are threatened by overexploitation, and Coleoptera (56.45%) and Araneae (20.97%) are the most affected groups. The invasive species, pollution, and climate change have been less linked as threats. Coleoptera and Lepidoptera were the most affected by sinergistic threats (> 10% of species), jeopardized by 5 out of 6 threats each, followed by Araneae, Hymenoptera and Odonata (2 out of 6) (see Fig. 5; all values in Supplementary Table S4). Only 5.76% (n = 33) of species classified under a threat category were shared between both list types, with Brazil having the most shared species (n = 16), followed by Venezuela (n = 6), Dominican Republic (n = 4), and Chile and Jamaica with only three species each (Fig. 6). We found statistically significant differences among the threat categories (i.e., VU, EN, or CR) and taxonomic groups classified by the IRL and LRLs. Lepidoptera, Coleoptera, and Araneae were classified as more threatened by the LRLs than by the IRL. Hymenoptera also presented statistically significant differences, but the IRL had more threatened species, except in the vulnerable category, where there were no statistically significant differences. Finally, Orthoptera did not show differences between the IRL and LRLs (further detail in Table 2).
Threatened species per country area index
The countries with the highest proportions of threatened arthropods per area were headed by the Dominican Republic (17.76), followed by Cuba (7.93), and the Cayman Islands (6.77). However, excluding the Caribbean Islands with small areas, countries with large areas and above-average index values (3.28) were Brazil (4.71) and Chile (3.45). Small countries such as Honduras (0.32) and Nicaragua (0.3), as well as large countries, such as Argentina (0.29) and Peru (0.67), that are well below average, even when we remove the outlier value of the Dominican Republic (further details see Table 3; Fig. 7).
Discussion
Red lists
Arthropods currently classified by the IUCN Red List are > 1% (n = 10,105) of all arthropod species described (Eggleton 2020), and this reflects the obstacle that we face with their conservation (Hochkirch et al. 2020). Additionally, the proportions of Neotropical threatened species based on the LRLs (i.e. 19.98%) are close to the average percentage of declining species reported by Sánchez-Bayo and Wyckhuys (2019) in different biogeographical regions (23%). Although the IUCN Red List is the most useful international tool for extinction risk assessment worldwide, we found that LRLs provided significantly more arthropod assessments for each country, and this is particularly true for endemic components (LRLs = 472 vs. IRL = 139; Table 1). For this reason, LRLs have a great impact on local conservation policies (Brito et al. 2010; Cardoso et al. 2011a). For instance, the arthropods classified in threat categories in Chile are incorporated into national environmental impact assessments, and previous monitoring is required for public or private projects that may affect the ecosystems there.
The integration of invertebrate LRLs into the global assessment of the IUCN has been proposed by several authors (Cardoso et al. 2011a; van Swaay et al. 2011; Maes et al. 2019). In this paper, we propose that the IRL homologates these assessments of Neotropical arthropods for three main reasons: (1) LRLs represent a unique opportunity to assess endemic species, improving the representativeness of small countries, especially the Caribbean islands, and increasing the representation of threatened species from the Neotropical region by up to 300% in the IRL; (2) LRLs have a greater diversity of taxa that are not represented in the IRL for the Neotropical region, such as Schizomida, Opiliones, Amblypigi, Scorpiones, Chilopoda, and Diptera, which represent 22.78% (n = 121) of our results; (3) we found a low percentage (5.76%; n = 33) of threatened species that are shared between both red list types, which is consistent with the findings of Brito et al. (2010). The IUCN Red List is a powerful tool for assigning extinction risk probabilities to all the biota on the planet (Rodrigues et al. 2006), and it also provides possibilities to raise awareness of the silent extinction processes of many arthropod species. The threatened species that were identified under the LRLs have been evaluated from the adapted IRL at the national or regional level (see Hidalgo-Gato et al. 2016; ICM 2018; Ministerio del Medio Ambiente y Recursos Naturales 2018; SERFOR 2018; MMA 2019). In many cases, the information obtained from the LRLs is of adequate quality to be considered by the IRL, in particular for arthropods and for all living organisms in general. Research in arthropods conservation is largely non-financed (Cardoso et al. 2011a; Hochkirch et al. 2020), and studies on species in the IRL can receive special funding, which can support research on understudied arthropods. This could be an important consequence of homologating the red lists. Moreover, funding agencies or companies that depend on invertebrates’ services should use national lists to prioritize research funding (Hochkirch et al. 2020). On the other hand, most of the databases used for technical reports in LRL are not freely available, which could interfere with the integration of both red lists. This information is key to submit endemic arthropod datasets into IUCN Species Information Service (SIS connect), a systematized web application for conducting and managing species assessments for IUCN and thus, increase the species number classified in the Neotropical Region.
Overall, we do not have the necessary knowledge to fit arthropods in the Red List categories for most species according to Cardoso et al. (2011a). The lack of basic ecology information, especially its geographical distribution, is the most important shortfall that impedes species meet Red List thresholds and categories, and prioritizing conservation efforts turns ineffective. On the other hand, it is also necessary to put attention to species classified as least concern (LC), which have a large extent of occurrence, or deficient data (DD), which have a deficit in knowledge about their distribution or abundance. To detect negative effects of human activities on LC or DD species, it is essential to use spatial tools or distribution models that allow obtaining data, for example, on habitat loss and fragmentation. For example, Aneriophora aureorufa, a native fly species of Chile and Argentina, is a forest specialist that has lost 68% of its historical habitat but has been classified by the Chilean Ministry of the Environment as LC due to its wide distribution (Barahona-Segovia et al. 2016; Alaniz et al. 2018).
Threats and ecosystems
Alarming losses in natural areas (3.3. million km2) are currently occurring around the world, especially in Amazonian (30%) and central African (14%) tropical forests (Watson et al. 2016), while other authors (Lambin and Meyfroidt 2011) have reported that 37% of the world’s natural biomes have been transformed into grasslands (23%), croplands (12%), or urbanized areas (2%). Our results are in concordance with Sánchez-Bayo and Wyckhyus (2019), Cardoso et al. (2020) and Wagner (2020), where habitat loss is the main threat to Neotropical arthropods, impacting over 90% of threatened species. Forests and aquatic ecosystems were the most affected by agriculture, urbanization, forestry, and mining, according to our results (Fig. 3B). However, the impact of habitat loss seems to be a species-dependent type. Some terrestrial insects, such as primary forest butterflies, are more sensitive to the expansion of agricultural frontiers and loss of their symbiotic plants than grassland species, which could be even favoured (see Rodríguez et al. 2015; Hidalgo-Gato et al. 2016; Ministerio del Medio Ambiente y Recursos Naturales 2018). On the other hand, aquatic insects, such as Odonata, are sensitive when wetlands, streams, or rivers are replaced or dried up (Clausnitzer et al. 2009). In addition, almost all Neotropical taxonomic groups had two or more threats interacting among them, as suggested by Brook et al. (2008).
In this study, tourism and overexploitation appeared as secondary threats for Neotropical arthropods, which were inconsistent with the findings of other authors (Sánchez-Bayo and Wyckhuys 2019; Eggleton 2020; Wagner 2020). Businesses aimed at satisfying the desires of many hobbyists, collectors, or pet lovers are flourishing and account for 90.32% of large or colorful Neotropical arthropods (see examples in Amat-García et al. 2007; ICM 2018; SERFOR 2018; Barahona-Segovia 2019; Law 2019; MMA 2019) or even on small and inconspicuous species (Crespin and Barahona-Segovia 2021). In addition, these unregulated practices in ecosystems that are already impacted by habitat loss can lead to biopiracy for rare and threatened species with an uncertain negative impact on the remaining individuals (Courchamp et al. 2006; Fukushima et al. 2020; Crespin and Barahona-Segovia 2021). The collection of arthropods has historically been a nice and educational hobby that should be done with environmental responsibility; it has been even useful for citizen science programs (see an example in Kelemen-Finan et al. 2018). On the other hand, tourism is considered the third most important driver in the decline of Neotropical arthropods, especially troglobitic species because tours may not have considered the necessary safeguards for biota protection added to other human activities (Simões et al. 2014), especially in countries such as Brazil, Peru, and Venezuela. However, other human activities also strongly impact highly vulnerable ecosystems; the real estate market, recreational activities, and light pollution on beaches, dunes, or ammophilous ecosystems all impact Neotropical arthropods, which are absent from Neotropical red lists (González et al. 2014; Jerez et al. 2015; Seer et al. 2015; Luarte et al. 2016). Perhaps these secondary effects are not dangerous by themselves or with adequate sustainability programs, but in combination with habitat loss, they can be problematic for endemic and restricted Neotropical arthropods.
Moreover, other ecosystems that are equally threatened by human activities are underrepresented, particularly highlands, hyperarid or cryogenic ecosystems. These have extremophile taxa that require singular environmental conditions. Arthropods, such as Andiperla willinki, which inhabits the Patagonian icefield (Plecoptera; see Vera et al. 2012), and Maindronia neotropicalis, which inhabits the Atacama Desert core (Zygentoma; see Zúñiga-Reinoso and Predel 2019), are extremophiles animals that can only survive with specific food nets and environmental conditions, normally with narrow distributions and are highly susceptible to climate change. Therefore, we encourage entomologists and conservation biologists to assess arthropods from other impacted ecosystems, such as intertidal rocky shores, dunes and beaches, Brazilian Serrado, Atlantic and Chaco forest, Paramo or other Andes highlands. Concurrently, habitat loss and synergistic forces can affect nonrandom biological interactions produced by co-evolution and generate extinction cascades, which are major silent force in the decline of arthropod biodiversity (Rezende et al. 2007; Dunn et al. 2009; Cardoso et al. 2011b; Bulgarella and Palma 2017; Traveset et al. 2017). These interactions and their resilience to anthropic pressures represent a new challenge for arthropod conservation in many Neotropical countries, currently not considered by IUCN Red List.
Threatened species per country area
Although animals such as mammals, birds, reptiles and amphibians have clear patterns of richness, evolutionary distinctiveness and phylogenetic endemism through different latitudes and ecosystems in the Americas and 24.5% have a high risk of extinction in the medium-term future (Cavender-Bares et al. 2018), arthropods continue to be the animal group with the greatest knowledge deficit in these aspects (Hochkirch et al. 2020). For this reason, this index represents an easy and rapid tool to reveal gaps in terrestrial arthropod conservation in the Neotropical realm using a dataset of threat category species and standardization by country area. First, it can be used to detect countries (small and large) that performed poorly in arthropod species assessments based on conservation status. One of the most critical examples of this is Argentina because this country has a high total area and environmental heterogeneity but does not have an LRL, and the few species were assessed under the IRL. Second, it offers a better measure for buffering the area effect of a large country, highlighting the efforts of small countries in extinction risk assessments such as the Dominican Republic and Cuba. In the Caribbean Islands, endemic arthropods have a low area of occupancy, representing good models for rapid arthropod conservation assessments (see Cardoso et al. 2011b) in regions that are facing rapid changes in native habitats by human activities. Additionally, countries with larger areas, such as Brazil and Chile, also exhibited strong conservation efforts based on the extinction risk assessment compared to those of smaller countries. Cavender-Bares et al. (2018) provide status and trends of native biodiversity and threatened species due to human activities in the Americas for both terrestrial and aquatic ecosystems. Although ants, pollinators, or other arthropods are mentioned with specific examples, the absence of a systematic overview of threatened arthropods from the Neotropical region is justified and necessary, considering that they are an important piece in all ecosystem process. In this context, this index could also be applied at the regional or ecosystem level (e.g., counties or even municipalities), providing a more local overview of the requirements or planning for the conservation of arthropods. In fact, some countries could be underrepresented because the LRLs assessed many species from a particular ecosystem (e.g., Brazilian Atlantic forest or Central Chile) or particular regions, such as Veracruz in Mexico.
Conclusion
This is the first regional effort to unite all information from Neotropical countries and to understand the extinction risk patterns of their arthropods. This information can be taken as the baseline to prepare future studies in sensitive and priority areas based on threatened arthropod species. Although we know more about native, and/or conspicuous arthropod species, we encouraged the study of endemic, and inconspicuous arthropods to gain a better understanding of their conservation statuses. Many of them inhabit leaf litter, intertidal rocky shores, highlands, coastal dunes, and other sensitive ecosystems that are commonly impacted by croplands, urbanization, and wood harvesting, although other human activities are likely to impact them silently as well, such as trade and tourism (Cardoso et al. 2011b, 2020; Dirzo et al. 2014; Jerez et al. 2015; Barahona-Segovia 2019; Law 2019). Recently, Harvey et al. (2020) proposed a roadmap for the conservation and recovery of threatened insects. These authors proposed performing a large-scale assessment using the IRL criteria and encouraged new studies to understand the contributions of anthropogenic drivers on arthropod abundance and distributions. We call all the countries in the Neotropical region to evaluate the extinction risks of their endemic arthropod biota to understand their conservation statuses, particularly in countries with limited or no conservation efforts. This is completely necessary, not only because the information on invertebrates is poor, but also because arthropods are one of the major forces in the well-being of humans due to ecosystem services (Cardoso et al. 2011a, 2020; Leather 2015). Currently, the Neotropical region is losing arthropod diversity, mainly because of bad policy practices, which are based only on intensified extractivism and economic benefits, increasing ecosystem transformation in this region. Therefore, the integration of LRLs with the IRL in the region would make it easier to evaluate the global situation of the arthropod biota.
Availability of data and materials
In Supplementary material.
References
Abellán P, Sánchez-Fernández D, Velasco J, Millán A (2005) Assessing conservation priorities for insects: status of water beetles in southeast Spain. Biol Conserv 121:79–90. https://doi.org/10.1016/j.biocon.2004.04.011
Aizen MA, Smith-Ramírez C, Morales CL, Vieli L, Sáez A, Barahona-Segovia RM, Arbetman MP, Montalva J, Garibaldi LA, Inouye DW, Harder LD (2019) Coordinated species importation policies are needed to reduce serious invasions globally: the case of alien bumblebees in South America. J Appl Ecol 56:100–106. https://doi.org/10.1111/1365-2664.13121
Alaniz AJ, Carvajal MA, Smith-Ramírez C, Barahona-Segovia RM, Vieli L (2018) Habitat loss of a rainforest specialist pollinator fly as an indicator of conservation status of the South American Temperate Rainforests. J Insect Conserv 22:745–755. https://doi.org/10.1007/s10841-018-0098-0
Amat-García G, Andrade-C MG, Amat-García EC (2007) Libro Rojo de los Invertebrados Terrestres de Colombia. Instituto de Ciencias Naturales, Universidad Nacional de Colombia, Conservación Internacional Colombia Instituto Alexander von Humboldt, Ministerio de Ambiente, Vivienda y Crédito Territorial, Bogotá
Bachman SP, Nic Lughadha EM, Rivers MC (2018) Quantifying progress toward a conservation assessment for all plants. Conserv Biol 32:516–524. https://doi.org/10.1111/cobi.13071
Barahona-Segovia RM (2019) Conservación biológica de invertebrados en los bosques costeros de Chile: Amenazas y propuestas. In: Smith-Ramírez C, Squeo F (eds) Biodiversidad y Conservación de los bosques costeros de Chile. Editorial Universidad de Los Lagos, Osorno, pp 269–298
Barahona-Segovia R, Smith-Ramirez C, Alaniz A (2016) Ficha de clasificación de Aneriophora aureorufa Philippi, 1865. Ministerio de Medio Ambiente. http://www.mma.gob.cl/clasificacionespecies/fichas13proceso/fichas-inicio/Aneriophora_aureorufa_INICIO_13RCE.pdf. Accessed 7 Jan 2021
Barboza FR, Defeo O (2015) Global diversity patterns in sandy beach macrofauna: a biogeographic analysis. Sci Rep 5:14515. https://doi.org/10.1038/srep14515
Baur B, Coray A, Lenzin H, Schmera D (2020) Factors contributing to the decline of an endangered flightless longhorn beetle: a 20-year study. Insect Conserv Divers 13:175–186. https://doi.org/10.1111/icad.12402
Bell JR, Blumgart D, Shortall CR (2020) Are insects declining and at what rate? An analysis of standardised, systematic catches of aphid and moth abundances across Great Britain. Insect Conserv Divers 13:115–126. https://doi.org/10.1111/icad.12412
Bonebrake TC, Guo F, Dingle C, Baker DM, Kitching RL, Ashton LA (2019) Integrating proximal and horizon threats to biodiversity for conservation. Trends Ecol Evol 34:781–788. https://doi.org/10.1016/j.tree.2019.04.001
Brenes O, Jiménez Elizondo A, Solís Rivera A, Vilnitzky Strurberg L (1999) Lista de fauna de importancia para la conservación en Centroamérica y México, listas rojas, listas oficiales y especies en Apéndices CITES. IUCN Regional office for Meso-America and Wild World Foundation (WWF), San José
Brito D, Ambal RG, Brooks T, De Silva N, Foster M, Hao W, Hilton-Taylor C, Paglia A, Rodríguez JP, Rodríguez JV (2010) How similar are national red lists and the IUCN Red List? Biol Conserv 143:1154–1158. https://doi.org/10.1016/j.biocon.2010.02.015
Brook BW, Sodhi NS, Bradshaw CJ (2008) Synergies among extinction drivers under global change. Trends Ecol Evol 23:453–460. https://doi.org/10.1016/j.tree.2008.03.011
Bulgarella M, Palma RL (2017) Coextinction dilemma in the Galápagos Islands: can Darwin’s finches and their native ectoparasites survive the control of the introduced fly Philornis downsi. Insect Conserv Divers 10:193–199. https://doi.org/10.1111/icad.12219
Cardoso P, Erwin TL, Borges PA, New TR (2011a) The seven impediments in invertebrate conservation and how to overcome them. Biol Conserv 144:2647–2655. https://doi.org/10.1016/j.biocon.2011.07.024
Cardoso P, Borges PA, Triantis KA, Ferrández MA, Martín JL (2011b) Adapting the IUCN Red List criteria for invertebrates. Biol Conserv 144:2432–2440. https://doi.org/10.1016/j.biocon.2011.06.020
Cardoso P, Barton PS, Birkhofer K, Chichorro F, Deacon C, Fartmann T, Fukushima CS, Gaigher R, Habel JC, Hallmann CA, Hill MJ, Hochkirch A, Kwak ML, Mammola S, Noriega JA, Orfinger AB, Pedraza F, Pryke JS, Roque FO, Settele J, Simaika JP, Stork NE, Suhling F, Vorster C, Samways MJ (2020) Scientists’ warning to humanity on insect extinctions. Biol Conserv 242:108426. https://doi.org/10.1016/j.biocon.2020.108426
Cavender-Bares J, Arroyo MTK, Abell R, Ackerly D, Ackerman D, Arim M, Belnap J, Castañeda Moya F, Dee L, Estrada-Carmona N, Gobin J, Isbell F, Jaffé R, Köhler G, Koops M, Kraft N, Mcfarlane N, Martínez-Garza C, Metzger JP, Mora A, Oatham M, Paglia A, Pedrana J, Peri PL, Piñeiro G, Randall R, Robbins WW, Weis J, Ziller SR (2018) Chapter 3: status, trends and future dynamics of biodiversity and ecosystems underpinning nature’s contributions to people. In: Rice J, Seixas CS, Zaccagnini ME, Bedoya-Gaitán M, Valderrama N (eds) The IPBES regional assessment report on biodiversity and ecosystem services for the Americas. Secretariat of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, Bonn, pp 171–293
Ceballos G, Ehrlich PR, Barnosky AD, García A, Pringle RM, Palmer TM (2015) Accelerated modern human–induced species losses: entering the sixth mass extinction. Sci Adv 1(5):e1400253. https://doi.org/10.1126/sciadv.1400253
Ceballos G, Ehrlich PR, Dirzo R (2017) Biological annihilation via the ongoing sixth mass extinction signaled by vertebrate population losses and declines. Proc Natl Acad Sci USA 114:6089–6096. https://doi.org/10.1073/pnas.1704949114
Clausnitzer V, Kalkman VJ, Ram M, Collen B, Baillie JE, Bedjanič M, Darwall WRT, Dijkstra K-DB, Dow R, Hawking J, Karube H, Malikova E, Paulson D, Schütte K, Suhling F, Villanueva RJ, von Ellenrieder N, Wilson K (2009) Odonata enter the biodiversity crisis debate: the first global assessment of an insect group. Biol Conserv 142:1864–1869. https://doi.org/10.1016/j.biocon.2009.03.028
Courchamp F, Angulo E, Rivalan P, Hall RJ, Signoret L, Bull L, Meinard Y (2006) Rarity value and species extinction: the anthropogenic Allee effect. PLoS Biol 4(12):e415. https://doi.org/10.1371/journal.pbio.0040415
Crespin SJ, Barahona-Segovia RM (2021) The risk of rediscovery: fast population decline of the localized endemic Chilean stag beetle Sclerostomulus nitidus (Coleoptera: Lucanidae) suggests trade as a threat. Insect Conserv Divers 114:107–116. https://doi.org/10.1111/icad.12445
Dirzo R, Young HS, Galetti M, Ceballos G, Isaac NJ, Collen B (2014) Defaunation in the Anthropocene. Science 345:401–406. https://doi.org/10.1126/science.1251817
Dunn RR (2005) Modern insect extinctions, the neglected majority. Conserv Biol 19:1030–1036. https://doi.org/10.1111/j.1523-1739.2005.00078.x
Dunn RR, Harris NC, Colwell RK, Koh LP, Sodhi NS (2009) The sixth mass coextinction: are most endangered species parasites and mutualists? Proc R Soc B 276:3037–3045. https://doi.org/10.1098/rspb.2009.0413
Eggleton P (2020) The state of the world’s insect. Ann Rev Environ Res 45:1–22. https://doi.org/10.1146/annurev-environ-012420-050035
Fukushima C, West R, Pape T, Penev L, Schulman L, Cardoso P (2020) Wildlife collection for scientific purposes. Conserv Biol. https://doi.org/10.1111/cobi.13572
González SA, Yáñez-Navea K, Muñoz M (2014) Effect of coastal urbanization on sandy beach coleoptera Phaleria maculata (Kulzer, 1959) in northern Chile. Mar Pollut Bull 83:265–274. https://doi.org/10.1016/j.marpolbul.2014.03.042
Govorushko SM, Nowicki P (2019) Lessons from insect conservation in Russia. J Insect Conserv 23:1–14. https://doi.org/10.1007/s10841-019-00136-y
Hallmann CA, Zeegers T, van Klink R, Vermeulen R, van Wielink P, Spijkers H, van Deijk J, van Steenis W, Jongejans E (2020) Declining abundance of beetles, moths and caddisflies in the Netherlands. Insect Conserv Divers 13:127–139. https://doi.org/10.1111/icad.12377
Harvey JA, Heinen R, Armbrecht I, Basset Y, Baxter-Gilbert JH, Bezemer TM, Böhm M, Bommarco R, Borges PAV, Cardoso P, Clausnitzer V, Cornelisse T, Crone EE, Dicke M, Dijkstra K-DB, Dyer L, Ellers J, Fartmann T, Forister ML, Furlong MJ, Garcia-Aguayo A, Gerlach J, Gols R, Goulson D, Habel J-C, Haddad NM, Hallmann CA, Henriques S, Herberstein ME, Hochkirch A, Hughes AC, Jepsen S, Jones TF, Kaydan BM, Kleijn D, Klein A-M, Latty T, Leather SR, Lewis SM, Lister BC, Losey JE, Lowe EC, Macadam CR, Montoya-Lerma J, Nagano CD, Ogan S, Orr MC, Painting CJ, Pham T-H, Potts SG, Rauf A, Roslin TL, Samways MJ, Sánchez-Bayo F, Sar SA, Schultz CB, Soares AO, Thancharoen A, Tscharntke T, Tylianakis JM, Umbers KDL, Vet LEM, Visser ME, Vujic A, Wagner DL, WallisDeVries MF, Westphal C, White TE, Wilkins VL, Williams PH, Wyckhuys KAG, Zhu Z-R, de Kroon H (2020) International scientists formulate a roadmap for insect conservation and recovery. Nat Ecol Evol 4:174–176. https://doi.org/10.1038/s41559-019-1079-8
Hernández-Baz F, Rodríguez-Vargas DU (2014) Libro rojo de la fauna del estado de Veracruz. Gobierno del Estado de Veracruz, procuraduría estatal de protección al medio ambiente y Universidad Veracruzana, Veracruz
Hidalgo-Gato MM, Espinosa J, Rodríguez-León R (2016) Libro Rojo de Invertebrados Terrestres de Cuba. Editorial Academia, La Habana
Hochkirch A (2016) The insect crisis we can’t ignore. Nat News 539:141. https://doi.org/10.1038/539141a
Hochkirch A, Samways MJ, Gerlach J, Böhm M, Williams P, Cardoso P, Cumberlidge N, Stephenson PJ, Seddon MB, Clausnitzer V, Borges PAV, Mueller GM, Pearce-Kelly P, Raimondo DC, Danielczak A, Dijkstra K-DB (2020) A strategy for the next decade to address data deficiency in neglected biodiversity. Conserv Biol. https://doi.org/10.1111/cobi.13589
Huey RB, Kearney MR, Krockenberger A, Holtum JA, Jess M, Williams SE (2012) Predicting organismal vulnerability to climate warming: roles of behaviour, physiology and adaptation. Philos Trans R Soc B 367:1665–1679. https://doi.org/10.1098/rstb.2012.0005
Instituto Chico Mendes de Conservação da Biodiversidade [ICM] (2018) Livro Vermelho da Fauna Brasileira Ameaçada de Extinção: Volume VII—Invertebrados. In: Vermelho L (ed) Instituto Chico Mendes de Conservação da Biodiversidade. da Fauna Brasileira Ameaçada de Extinção. ICMBio, Brasília, pp 1–727
IPBES (2016) Summary for policymakers of the assessment report of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services on pollinators, pollination and food production. In: Imperatriz-Fonseca VL, Ngo HT, Biesmeijer JC, Breeze TD, Dicks LV, Garibaldi LA, Hill R, Settele J, Vanbergen AJ, Aizen MA, Cunningham SA, Eardley C, Freitas BM, Gallai N, Kevan PG, Kovács-Hostyánszki A, Kwapong PK, Li J, Li X, Martins DJ, Nates-Parra G, Pettis JS, Rader R, Viana BF (eds) Potts SG. Secretariat of the Intergovernmental science-Policy Platform on Biodiversity and Ecosystem Services, Bonn, pp 1–36
IUCN (2012a) IUCN Red List of Threatened Species. Version 2014.3. Gland, Switzerland and Cambridge, UK. http://www.iucnredlist.org. Accessed 12 May 2018
IUCN (2012b) Guidelines for application of IUCN Red List criteria at regional and national levels: Version 4.0. Gland, Switzerland and Cambridge, UK. https://www.iucn.org/es/content/. Accessed 23 Oct 2019
Jerez V, Zúñiga-Reinoso Á, Muñoz-Escobar C, Pizarro-Araya J (2015) Acciones y avances sobre la conservación de insectos en Chile. Gayana 79:1–3. https://doi.org/10.4067/S0717-65382015000100001
Juslén A, Hyväerinen E, Virtanen LK (2013) Application of the Red-List index at a national level for multiple species groups. Conserv Biol 27:398–406. https://doi.org/10.1111/cobi.12016
Kelemen-Finan J, Scheuch M, Winter S (2018) Contributions from citizen science to science education: an examination of a biodiversity citizen science project with schools in Central Europe. Int J Sci Educ 40:2078–2098. https://doi.org/10.1080/09500693.2018.1520405
Keller I, Largiader CR (2003) Recent habitat fragmentation caused by major roads leads to reduction of gene flow and loss of genetic variability in ground beetles. Proc R Soc B 270:417–423. https://doi.org/10.1098/rspb.2002.2247
Lambin EF, Meyfroidt P (2011) Global land use change, economic globalization, and the looming land scarcity. Proc Natl Acad Sci USA 108:3465–3472. https://doi.org/10.1073/pnas.1100480108
Law YH (2019) New tarantula highlights illegal trade in spiders. Science 363:914–915. https://doi.org/10.1126/science.363.6430.914
Leather SR (2015) Influential entomology: a short review of the scientific, societal, economic and educational services provided by entomology. Ecol Entomol 40:36–44. https://doi.org/10.1111/een.12207
Luarte T, Bonta CC, Silva-Rodriguez EA, Quijón PA, Miranda C, Farias AA, Duarte C (2016) Light pollution reduces activity, food consumption and growth rates in a sandy beach invertebrate. Environ Pollut 218:1147–1153. https://doi.org/10.1016/j.envpol.2016.08.068
Macgregor CJ, Pocock MJ, Fox R, Evans DM (2015) Pollination by nocturnal Lepidoptera, and the effects of light pollution: a review. Ecol Entomol 4:187–198. https://doi.org/10.1111/een.12174
Maes D, Verovnik R, Wiemers M, Brosens D, Beshkov S, Bonelli S, Buszko J, Cantú-Salazar L, Cassar LF, Collins S, Dincă V, Djuric M, Dušej G, Elven H, Franeta F, Garcia-Pereira P, Geryak Y, Goffart P, Gór Á, Hiermann U, Höttinger H, Huemer P, Jakšić P, John E, Kalivoda H, Kati V, Kirkland P, Komac B, Kőrösi Á, Kulak A, Kuussaari M, L’Hoste L, Lelo S, Mestdagh X, Micevski N, Mihoci I, Mihut S, Monasterio-León Y, Morgun DV, Munguira ML, Murray T, Nielsen PS, Ólafsson E, Õunap E, Pamperis LN, Pavlíčko A, Pettersson LB, Popov S, Popović M, Pöyry J, Prentice M, Reyserhove L, Ryrholm N, Šašić M, Savenkov N, Settele J, Sielezniew M, Sinev S, Stefanescu C, Švitra G, Tammaru T, Tiitsaar A, Tzirkalli E, Tzortzakaki O, van Swaay CAM, Viborg AL, Wynhoff I, Zografou K, Warren MS (2019) Integrating national Red Lists for prioritising conservation actions for European butterflies. J Insect Conserv 23:301–330. https://doi.org/10.1007/s10841-019-00127-z
Maxwell SL, Fuller RA, Brooks TM, Watson JE (2016) Biodiversity: the ravages of guns, nets and bulldozers. Nat News 536:143–145. https://doi.org/10.1038/536143a
Miller RM, Rodríguez JP, Aniskowicz-Fowler T, Bambaradeniya C, Boles R, Eaton MA, Gärdenfors U, Keller V, Molur S, Walker S, Pollock C (2007) National threatened species listing based on IUCN criteria and regional guidelines: current status and future perspectives. Conserv Biol 21:684–696. https://doi.org/10.1111/j.1523-1739.2007.00656.x
Ministerio del Medio Ambiente de Chile [MMA] (2019) Clasificación según estado de conservación. Ministerio del Medio Ambiente de Chile. http://www.mma.gob.cl/clasificacionespecies/index.htm. Accessed 5 Dec 2019
Ministerio del Medio Ambiente y Recursos Naturales (2018) Lista de especies de fauna en peligro de Extinción, amenazadas o protegidas de la República Dominicana (lista roja nacional). Santo Domingo, República Dominicana
Mora C, Tittensor DP, Adl S, Simpson AG, Worm B (2011) How many species are there on Earth and in the ocean? PLoS Biol 9(8):e1001127. https://doi.org/10.1371/journal.pbio.1001127
Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GAB, Kent J (2000) Biodiversity hotspots for conservation priorities. Nature 403(6772):853–858
Owens IP, Bennett PM (2000) Ecological basis of extinction risk in birds: habitat loss versus human persecution and introduced predators. Proc Natl Acad Sci USA 97:12144–12148. https://doi.org/10.1073/pnas.200223397
Pimm SL, Brooks TM (2000) The sixth extinction: How large, where, and when. Nature and Human Society: The Quest for a Sustainable World. National Academy Press, Washington DC
Pimm SL, Jenkins CN, Abell R, Brooks TM, Gittleman JL, Joppa LN, Raven PH, Roberts CM, Sexton JO (2014) The biodiversity of species and their rates of extinction, distribution, and protection. Science 344:1246752. https://doi.org/10.1126/science.1246752
R Core Team (2019) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Austria, Vienna
Rezende EL, Lavabre JE, Guimarães PR, Jordano P, Bascompte J (2007) Non-random coextinctions in phylogenetically structured mutualistic networks. Nature 448:925–928. https://doi.org/10.1038/nature05956
Rodrigues ASL, Pilgrim JD, Lamoreux JF, Hoffmann M, Brooks TM (2006) The value of the IUCN Red List for conservation. Trends Ecol Evol 21:71–76. https://doi.org/10.1016/j.tree.2005.10.010
Rodríguez JP, García-Rawlins A, Rojas-Suárez F (2015) Libro Rojo de la Fauna Venezolana. Provita y Fundación Empresas Polar, Caracas, Venezuela
Roth N, Zoder S, Zaman AA, Thorn S, Schmidl J (2020) Long-term monitoring reveals decreasing water beetle diversity, loss of specialists and community shifts over the past 28 years. Insect Conserv Divers 13:140–150. https://doi.org/10.1111/icad.12411
Sánchez-Bayo F, Wyckhuys KA (2019) Worldwide decline of the entomofauna: a review of its drivers. Biol Conserv 232:8–27. https://doi.org/10.1016/j.biocon.2019.01.020
Seer FK, ElBalti N, Schrautzer J, Irmler U (2015) How much space is needed for spider conservation? Home range and movement patterns of wolf spiders (Aranea, Lycosidae) at Baltic Sea beaches. J Insect Conserv 19:791–800. https://doi.org/10.1007/s10841-015-9800-7
SERFOR (2018) Libro Rojo de la Fauna Silvestre Amenazada del Perú. Primera edición, Serfor (Servicio Nacional Forestal y de Fauna Silvestre), Lima, Perú
Servicio Agrícola y Ganadero [SAG] (2015) Ley de Caza y su reglamento. Ministerio de Agricultura de Chile, Santiago
Simões MH, Souza-Silva M, Ferreira RL (2014) Cave invertebrates in northwestern Minas Gerais state, Brazil: endemism, threats and conservation priorities. Acta Carsol 43:159–174. https://doi.org/10.3986/ac.v43i1.577
Stork NE, McBroom J, Gely C, Hamilton AJ (2015) New approaches narrow global species estimates for beetles, insects, and terrestrial arthropods. Proc Natl Acad Sci USA 112:7519–7523. https://doi.org/10.1073/pnas.1502408112
Thomas CD, Cameron A, Green RE, Bakkenes M, Beaumont LJ, Collingham YC, Erasmus BFN, de Siqueira MF, Grainger A, Hannah L, Hughes L, Huntley B, van Jaarsveld AS, Midgley GF, Miles L, Ortega-Huerta MA, Townsend Peterson A, Phillips OL, Williams SE (2004) Extinction risk from climate change. Nature 427:145–148. https://doi.org/10.1038/nature02121
Traveset A, Tur C, Eguíluz VM (2017) Plant survival and keystone pollinator species in stochastic coextinction models: role of intrinsic dependence on animal-pollination. Sci Rep 7:1–10. https://doi.org/10.1038/s41598-017-07037-7
van Swaay C, Maes D, Collins S, Munguira ML, Šašić M, Settele J, Verovnik R, Warren M, Wynhoff I, Cuttelod A (2011) Applying IUCN criteria to invertebrates: how red is the Red List of European butterflies? Biol Conserv 144:470–478. https://doi.org/10.1016/j.biocon.2010.09.034
Vera A, Zuñiga-Reinoso A, Muñoz-Escobar C (2012) Perspectiva histórica sobre la distribución de Andiperla willinki “dragón de la patagonia” (Plecoptera: Gripopterygidae). Rev Chil Entomol 37:87–93
Wagner DL (2020) Insect declines in the Anthropocene. Ann Rev Entomol 65:457–480. https://doi.org/10.1146/annurev-ento-011019-025151
Wake DB, Vredenburg VT (2008) Are we in the midst of the sixth mass extinction? A view from the world of amphibians. Proc Natl Acad Sci USA 105:11466–11473. https://doi.org/10.1073/pnas.0801921105
Watson JE, Shanahan DF, Di Marco M, Allan J, Laurance WF, Sanderson EW, Mackey B, Venter O (2016) Catastrophic declines in wilderness areas undermine global environment targets. Curr Biol 26:2929–2934. https://doi.org/10.1016/j.cub.2016.08.049
Wild Life Protected Act (2017) Wild life protection. Jamaican Government. http://nepa.gov.jm. Accessed 10 Oct 2018
Zúñiga-Reinoso A, Predel R (2019) Past climatic changes and their effects on the phylogenetic pattern of the Gondwanan relict Maindronia (Insecta: Zygentoma) in the Chilean Atacama Desert. Glob Planet Change 182:103007. https://doi.org/10.1016/j.gloplacha.2019.103007
Acknowledgements
RMBS wants to thank Comisión Nacional de Ciencia y Tecnología for providing a PhD scholarship [CONICYT 21160404] and Agencia Nacional de Investigacion y Desarrollo for providing a postdoctoral scholarship [FONDECYT 3200817] for support this study. We thank to Rodolfo Jaffé, JICO editor, and anonymous reviewers for providing throatful review of our manuscript. In addition, RMBS thanks Ana Clara Luz Araya, his grandmother, who dedicated her life to educating him, and sadly, she died of lung cancer during this study. Therefore, this contribution to the biological conservation of arthropods is dedicated to her.
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CONICYT doctoral scholarship 21160404 and postdoctoral FONDECYT 3200817.
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Barahona-Segovia, R.M., Zúñiga-Reinoso, Á. An overview of Neotropical arthropod conservation efforts using risk assessment lists. J Insect Conserv 25, 361–376 (2021). https://doi.org/10.1007/s10841-021-00306-x
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DOI: https://doi.org/10.1007/s10841-021-00306-x