Landscape drivers of mammal habitat use and richness in a protected area and its surrounding agricultural lands

Protected areas (PAs) are key to conserving biodiversity and ecosystem services globally, but their effectiveness increasingly depends on the ability of the surrounding agricultural areas to support biodiversity and secure connectivity at the landscape level. This requires monitoring the broader multi-use landscapes in which PAs exist and identifying the landscape characteristics that support rich, functional wildlife communities. Here, we investigated the species richness and habitat use patterns of a mammal community in relation to different landscape variables and land use and land cover (LULC) types in a PA and its surrounding agricultural lands in the Cerrado. We first used a hierarchical multi-species occupancy model with input camera trap data and eight landscape variables (vegetation productivity, phenology, and heterogeneity, distance to water, roads and settlements, and the PA, slope, and elevation) to estimate the species richness and habitat use of 29 mammal species across the landscape. We then analyzed the relationships between the species richness and habitat use and the landscape variables at the site level, as well as the distribution of species at the landscape level in relation to the different natural and agricultural LULC types

Small forest losses degrade stream macroinvertebrate assemblages in the eastern Brazilian Amazon

Generally, habitat loss and fragmentation negatively affect biota, often in nonlinear ways. Such nonlinear responses suggest the existence of critical limits for habitat loss beyond which taxa experience substantial changes. Therefore, we identified change points for aquatic macroinvertebrate assemblages at both local-riparian and catchment extents in response to a forest-loss gradient in agriculture-altered landscapes of 51 small (1st to 3rd Strahler order) eastern Amazon streams. We used Threshold Indicator Taxa Analysis (TITAN) to identify change points for individual taxa and segmented regression analysis for assemblage richness. Considering the patterns of the cumulative frequency distributions of sum(Z−) maxima across bootstrap replications, peak changes in macroinvertebrate assemblages were at ∼9% (5–95 percentiles = 1–15%) of forest-loss at the catchment extent, and at ∼1.4% (5–95 percentiles = 0–35%) of forest-loss at the local-riparian extent. Although the assemblage change point at the site extent was less than that detected at the catchment extent, the markedly lower percentile range indicates that biotic assemblages are more clearly responsive to forest-loss at the catchment/network-riparian extents than the site extent. For catchment and site extents, segmented regression analysis determined a change point for assemblage richness at 57% and 79% of forest-loss, respectively. This indicates the low capacity of total richness to separate early and synchronous decreases of sensitive taxa from gradual increases of tolerant taxa. Our results also show that it is not enough to focus management and conservation actions on riparian zones, but that conservation strategies should be expanded to entire catchments as well. The sharp decline of sensitive taxa in response to removal of a small portion of forest cover, even at catchment extents, indicates that the Brazilian Forest Code is insufficient for protecting stream macroinvertebrates. Consequently, we recommend strategies to reverse the potential collapse of aquatic biodiversity, particularly through avoiding deforestation and forest degradation, encouraging socio-economic incentives for restoring degraded areas, creating protected areas, and maintaining the current protected areas. We argue that reducing habitat loss should be a top priority for conservation planners in tropical forests because the sensitivity of aquatic biodiversity to removal of riparian forest-cover in Amazon rainforests is higher than previously thought. Therefore, the Forest Code regulatory framework needs complementary regulation that may be achived by more restrictive State and biome policies. © 2019 Elsevier Lt

Economic Losses and Cross Border Effects Caused by Pantanal Catastrophic Wildfires

The Pantanal, the Earth's largest continuous wetland, experienced severe impacts from wildfires in 2019 and, particularly, in 2020. The surge in wildfires can be attributed to several factors, including climate extremes, inadequate fire management, ineffective policymaking, as well as commercial and demographic dynamics. Understanding the economic effects of wildfires is crucial for guiding resource allocation toward prevention and firefighting efforts. This study aims to examine the economic losses resulting from the catastrophic wildfires in the Brazilian Pantanal region during 2019 and 2020. By utilizing publicly available datasets and data obtained from representatives of public and private institutions, we constructed scenarios to simulate the fire's impacts on economic input-output matrices. Through the application of structural impact analysis, we can simulate variations in output, value-added, and income by considering demand variation scenarios resulting from external shocks. Our findings reveal that the economic impact of the wildfires extends beyond the burned areas, affecting other regions of Brazil, such as São Paulo and Paraná. The lack of a comprehensive public database encompassing different scales (municipal, state, and national), along with a clear methodology for calculating and reporting firefighting expenses, hinders accurate prediction of economic losses and impedes proactive investments in wildfire prevention

The relationships between biotic uniqueness and abiotic uniqueness are context dependent across drainage basins worldwide

[EN] Context: Global change, including land-use change and habitat degradation, has led to a decline in biodiversity, more so in freshwater than in terrestrial ecosystems. However, the research on freshwaters lags behind terrestrial and marine studies, highlighting the need for innovative approaches to comprehend freshwater biodiversity. Objectives: We investigated patterns in the relationships between biotic uniqueness and abiotic environmental uniqueness in drainage basins worldwide. Methods: We compiled high-quality data on aquatic insects (mayflies, stoneflies, and caddisflies at genus-level) from 42 drainage basins spanning four continents. Within each basin we calculated biotic uniqueness (local contribution to beta diversity, LCBD) of aquatic insect assemblages, and four types of abiotic uniqueness (local contribution to environmental heterogeneity, LCEH), categorized into upstream land cover, chemical soil properties, stream site landscape position, and climate. A mixed-effects meta-regression was performed across basins to examine variations in the strength of the LCBD-LCEH relationship in terms of latitude, human footprint, and major continental regions (the Americas versus Eurasia). Results: On average, relationships between LCBD and LCEH were weak. However, the strength and direction of the relationship varied among the drainage basins. Latitude, human footprint index, or continental location did not explain significant variation in the strength of the LCBD-LCEH relationship. Conclusions: We detected strong context dependence in the LCBD-LCEH relationship across the drainage basins. Varying environmental conditions and gradient lengths across drainage basins, land-use change, historical contingencies, and stochastic factors may explain these findings. This context dependence underscores the need for basin-specific management practices to protect the biodiversity of riverine systemsSIOpen Access funding provided by University of Oulu (including Oulu University Hospital). The work for this article was supported by the Academy of Finland’s grant to JHeino for the project GloBioTrends (Grant No. 331957). JGG was funded by the European Union Next Generation EU/PRTR (Grant No. AG325). Work by LMB has been continuously supported by the National Council for Scientifc & Technological Development (CNPq) and Fundação de Amparo à Pesquisa do Estado de Goiás (FAPEG) (grants 308974/2020–4 and 465610/2014–5). PB and ZC were fnancially supported by the National Research Development and Innovation Ofce (NKFIH FK 135 136), and PB was supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences BO-00106–21. LB thanks the National Council for Scientifc and Technological Development (CNPq) for the Scientifc Initiation Fellowship for JVASS and the productivity fellowship in research to LSB (process nº. 305929/2022–4). MC was awarded National Council for Scientifc & Technological Development (CNPq) research productivity grant 304060/2020–8 and received grants (PPM 00104–18, APQ-00261–22) from the Fundação de Amparo à Pesquisa do Estado de Minas Gerais. SD and JRGM acknowledge funding by the Leibniz Competition (Grant No. J45/2018) and the German Federal Ministry of Education and Research (BMBF grant agreement number no. 033W034A). DRM was supported by National Council for Scientifc & Technological Development (CNPq) (Grant No. PQ-309763–2020-7). DMPC received a postdoctoral scholarship from P&D Aneel- Cemig GT-611. PH was partially funded by the eLTER PLUS project (Grant Agreement No. 871128). LJ is grateful to 33 Forest, CIKEL Ltd. and Instituto de Floresta Tropical (IFT), Biodiversity Research Consortium Brazil-Norway (BRC), and Norsk Hydro for the fnancial and logistical support for sampling. Brazilian National Council for Scientifc and Technological Development (CNPq) is acknowledged for fnancing the projects and for granting a research productivity fellowship to LJ (304710/2019–9). APJF was supported by Conselho Nacional de Desenvolvimento Científco e Tecnológico (CNPq, Brazil, process no. 449315/2014–2 and 481015/2011–6). RL also received a research productivity fellowship from CNPq (grant # 312531/2021–4). MSL received a postdoctoral scholarship from ANEEL/CEMIG (Project GT-599). Part of feld sampling and aquatic insects processing were funded by Conselho Nacional de Desenvolvimento Científco e Tecnológico (CNPq; 403758/2021–1); Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM; Programa Biodiversa) and INCT ADAPTA II – (CNPq: 465540/2014–7; FAPEAM: 062.1187/2017). NH (308970/2019–5) received productivity fellowships from CNPq. RTM received a fellowship from Biodiversa/FAPEAM (01.02.016301.03271/2021–93). KLM acknowledges fnancial support from the Swiss Federal Ofce for the Environment to undertake data collection. Funding for the Segura River basin project was provided by the Seneca Foundation and the European Fund of Regional Development (PLP10/FS/97). FOR was supported by CNPq research grant. TS was partially funded by grant 13/50424–1 and 21/00619–7 from the São Paulo Research Foundation (FAPESP), and by grant 309496/2021–7 from the Conselho Nacional de Desenvolvimento Científco e Tecnológico (CNPq). FVN was supported by grant #2021/13299–0, São Paulo Research Foundation (FAPESP). ALA acknowledges Brazilian National Council for Scientifc and Technological Development (CNPq, Brazil) for granting a postdoctoral scholarship to her (process number: 167873/2022–9

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

How much leaf area do insects eat? A data set of insect herbivory sampled globally with a standardized protocol

Herbivory is ubiquitous. Despite being a potential driver of plant distribution and performance, herbivory remains largely undocumented. Some early attempts have been made to review, globally, how much leaf area is removed through insect feeding. Kozlov et al., in one of the most comprehensive reviews regarding global patterns of herbivory, have compiled published studies regarding foliar removal and sampled data on global herbivory levels using a standardized protocol. However, in the review by Kozlov et al., only 15 sampling sites, comprising 33 plant species, were evaluated in tropical areas around the globe. In Brazil, which ranks first in terms of plant biodiversity, with a total of 46,097 species, almost half (43%) being endemic, a single data point was sampled, covering only two plant species. In an attempt to increase knowledge regarding herbivory in tropical plant species and to provide the raw data needed to test general hypotheses related to plant–herbivore interactions across large spatial scales, we proposed a joint, collaborative network to evaluate tropical herbivory. This network allowed us to update and expand the data on insect herbivory in tropical and temperate plant species. Our data set, collected with a standardized protocol, covers 45 sampling sites from nine countries and includes leaf herbivory measurements of 57,239 leaves from 209 species of vascular plants belonging to 65 families from tropical and temperate regions. They expand previous data sets by including a total of 32 sampling sites from tropical areas around the globe, comprising 152 species, 146 of them being sampled in Brazil. For temperate areas, it includes 13 sampling sites, comprising 59 species

Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Background: We previously reported that impaired type I IFN activity, due to inborn errors of TLR3- and TLR7-dependent type I interferon (IFN) immunity or to autoantibodies against type I IFN, account for 15–20% of cases of life-threatening COVID-19 in unvaccinated patients. Therefore, the determinants of life-threatening COVID-19 remain to be identified in ~ 80% of cases. Methods: We report here a genome-wide rare variant burden association analysis in 3269 unvaccinated patients with life-threatening COVID-19, and 1373 unvaccinated SARS-CoV-2-infected individuals without pneumonia. Among the 928 patients tested for autoantibodies against type I IFN, a quarter (234) were positive and were excluded. Results: No gene reached genome-wide significance. Under a recessive model, the most significant gene with at-risk variants was TLR7, with an OR of 27.68 (95%CI 1.5–528.7, P = 1.1 × 10−4) for biochemically loss-of-function (bLOF) variants. We replicated the enrichment in rare predicted LOF (pLOF) variants at 13 influenza susceptibility loci involved in TLR3-dependent type I IFN immunity (OR = 3.70[95%CI 1.3–8.2], P = 2.1 × 10−4). This enrichment was further strengthened by (1) adding the recently reported TYK2 and TLR7 COVID-19 loci, particularly under a recessive model (OR = 19.65[95%CI 2.1–2635.4], P = 3.4 × 10−3), and (2) considering as pLOF branchpoint variants with potentially strong impacts on splicing among the 15 loci (OR = 4.40[9%CI 2.3–8.4], P = 7.7 × 10−8). Finally, the patients with pLOF/bLOF variants at these 15 loci were significantly younger (mean age [SD] = 43.3 [20.3] years) than the other patients (56.0 [17.3] years; P = 1.68 × 10−5). Conclusions: Rare variants of TLR3- and TLR7-dependent type I IFN immunity genes can underlie life-threatening COVID-19, particularly with recessive inheritance, in patients under 60 years old

Taxonomy based on science is necessary for global conservation

Peer reviewe

Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection