BUSCADOR RECOLECTA

Annex A. Equations to atmospheric correction using the DOS method., Mangrove vegetation is strongly dependent on the climate, the physicochemical variables of the sediment, and the hydrological dynamics. These drivers regulate the distribution of different mangrove ecotypes and their ecosystem services, so the net sediment accumulation rates in different mangrove ecotypes in Celestun Lagoon, a karstic zone in the NW Yucatan Peninsula, SE Mexico, were estimated. The measurements considering mangrove ecotypes and their spatial variability concerning the lagoon's salinity gradient (inner, middle, and outer lagoon zones) in three climate seasons (dry, rain, and “nortes”) were realized. We registered the structural variables of the forest, interstitial water physicochemical characteristics, and sediment variables that could influence the net sediment deposition. Fringe mangroves are exposed to low hydrodynamism and show the highest sedimentation rate (3.37 ± 0.49 kg m−2 year−1) compared to basin (1.68 ± 0.22 kg m−2 year−1), dwarf (1.27 ± 0.27 kg m−2 year−1), and “peten” (0.52 ± 0.12 kg m−2 year−1) mangroves. The highest sedimentation rate was recorded in the rainy season (0.24 ± 0.08 kg m−2 month−1), while spatially, the highest value was registered in the outer zone (0.44 ± 0.09 kg m−2 month−1). If the extension of each mangrove ecotype is considered, dwarf mangroves have the highest annual sediment accumulation (1,465 t year−1 in 14,706 ha). The structural, physicochemical, and sediment variables of the sites by mangrove ecotype show that dwarf mangroves represent a distinct group from those formed by fringe, basin, and peten mangroves. However, the sedimentation is high in fringe mangroves at the front of the lagoon and diminishes inland where peten mangroves exist. The differences are given by tree density, but salinity, as a proxy variable of the freshwater influence, significantly influences the sedimentation rate. These results indicate that mangroves in karstic environments can have critical roles in confronting climate change, considering water and sediment flows are the basis of sediment accumulation. According to their hydrogeomorphological drivers, conserving, managing, and restoring the mosaic of mangrove ecotypes improves ecosystem services, including mitigation and adaptation to climate change., Peer reviewed

Table A. Environmental variables in four ecological types of mangroves considering three seasons. T=Temperature, RP= Redox potential, FL=Flood level. Values are average ± SE. Table B. Environmental variables in three zones of the Celestun Lagoon. T=Temperature, RP= Redox potential, FL=Flood level. Values are average ± SE. Different characters represent differences among Lagoon zones (p=0.05). Table C. Characteristics of the sediments in three Celestun lagoon zones. BD= Bulk density, OM= Organic matter, TP= Total phosphorus, TN= Total nitrogen, TC= Total carbon, and OC= Organic carbon. Values are Mean ± Standard error. Different characters represent differences among Lagoon zones (p=0.05)., Mangrove vegetation is strongly dependent on the climate, the physicochemical variables of the sediment, and the hydrological dynamics. These drivers regulate the distribution of different mangrove ecotypes and their ecosystem services, so the net sediment accumulation rates in different mangrove ecotypes in Celestun Lagoon, a karstic zone in the NW Yucatan Peninsula, SE Mexico, were estimated. The measurements considering mangrove ecotypes and their spatial variability concerning the lagoon's salinity gradient (inner, middle, and outer lagoon zones) in three climate seasons (dry, rain, and “nortes”) were realized. We registered the structural variables of the forest, interstitial water physicochemical characteristics, and sediment variables that could influence the net sediment deposition. Fringe mangroves are exposed to low hydrodynamism and show the highest sedimentation rate (3.37 ± 0.49 kg m−2 year−1) compared to basin (1.68 ± 0.22 kg m−2 year−1), dwarf (1.27 ± 0.27 kg m−2 year−1), and “peten” (0.52 ± 0.12 kg m−2 year−1) mangroves. The highest sedimentation rate was recorded in the rainy season (0.24 ± 0.08 kg m−2 month−1), while spatially, the highest value was registered in the outer zone (0.44 ± 0.09 kg m−2 month−1). If the extension of each mangrove ecotype is considered, dwarf mangroves have the highest annual sediment accumulation (1,465 t year−1 in 14,706 ha). The structural, physicochemical, and sediment variables of the sites by mangrove ecotype show that dwarf mangroves represent a distinct group from those formed by fringe, basin, and peten mangroves. However, the sedimentation is high in fringe mangroves at the front of the lagoon and diminishes inland where peten mangroves exist. The differences are given by tree density, but salinity, as a proxy variable of the freshwater influence, significantly influences the sedimentation rate. These results indicate that mangroves in karstic environments can have critical roles in confronting climate change, considering water and sediment flows are the basis of sediment accumulation. According to their hydrogeomorphological drivers, conserving, managing, and restoring the mosaic of mangrove ecotypes improves ecosystem services, including mitigation and adaptation to climate change., Peer reviewed

Supplementary Figures (1-10), Tables (1-5), Notes (1-2) and References., Peer reviewed

[Description of methods used for collection/generation of data] ATACseq and RNAseq methodology in different developmental stages, Analysis of the transcriptomes and chromatin accessibility of multiple developmental stages of the indirect-developing hemichordate Ptychodera flava. After the individual analysis of each sample, integration of ATACseq and RNAseq data was performed in order to reconstruct genetic and regulatory networks. These data were also compared to other species, what could shed light on deuterostome evolution., Ministerio de Ciencia e Innovación (grant PID2022-141288NB-I00)., supp_data_01.xlsx supp_data_02.xlsx supp_data_03.xlsx supp_data_04.xlsx supp_data_05.xlsx supp_data_06.xlsx supp_data_07.xlsx supp_data_08.xlsx supp_data_09.bed supp_data_10.tsv supp_data_11.tsv.gz supp_data_12.tsv.gz supp_data_13.xlsx supp_data_14.xlsx supp_data_15.xlsx supp_data_16.xlsx, Peer reviewed

This dataset includes very high spatial resolution observations at 1 m spatial resolution observations of the snow depth, the NDVI and the melt-out date (DOY of year) acquired with an Unmanned Aerial Vehicle at a sub-alpine site in the Pyrenees, the Izas Experimental Catchment. During two snow seasons (2019-2020 and 2020-2021), 14 NDVI and 17 snow depth distributions were acquired over 48ha. From the snow depth observations the melt-out dates have been derived. Also information on the main topographic variables (elevation, aspect and slope) is included, with same spatial resolution, in this dataset., Peer reviewed

Supplementary material: Table S1. Summary of UAV acquisition during the study period. DOY: Julian Day of the Year.-- Table S2: Plant species observed on each survey plot.-- Figure S1: Upper panel shows, mean, minimum and maximum daily temperatures (5-day moving average). The lower panel depicts the temporal evolution of the snow depth and the total precipitation observed at the automatic weather station.-- Figure S2: Box plots depicting the temporal evolution of the NDVI for the UAV acquisition dates in the plants survey plots in 2019-2020 (upper panel) and 2020-2021 (bottom panel). The boxes show first and third quantiles and the horizontal line inside each box the second percentile (median). Whiskers of each plot include maximum and minimum values for each plot and day.-- Figure S3: Box plot (upper panel) of ASD spectrometer and Sequoia camera mounted on the UAV for the four bands and the NDVI computed from the near infrared and red bands. Linear adjustment (bottom panel) between the NDVI observations of the UAV and the ASD., Peer reviewed

The excel file uploaded here contains data collected from livestock farmers across the Chitwan-Annapurna Landscape in Central Nepal. The file includes raw data for farmer\'92s perception rankings, traits, and knowledge corresponding to the questions asked within questionnaires that were conducted as part of the study methodology. The file also includes a legend with definitions for each column in the file., [Methods] Between 2018 and 2019, we conducted 141 interviews with livestock farmers across the Chitwan-Annapurna Landscaoe of Central Nepal. In each of the three study areas, we selected 16-24 villages according to their accessibility, and based on communications with local governmental officials and community leaders. At each village, we approached 1-6 individuals that identified as keeping livestock by a combination method of random and snowball sampling (Cortés-Avizanda et al. 2018, García-Alfonso et al. 2019). All data was collected by hand in the field, and then the corresponding author manually digitized all responses into corresponding entries within Microsoft Excel. Our fieldwork, including survey design and methodology, was conducted with the approval of The City University of New York’s Human Research Protection Program (HRRP) under the category of Human Subject Research (IRB File #2019-0413). In addition, we also received approval for our survey methodology and fieldwork from Nepal’s Department of National Parks and Wildlife Conservation. We sought verbal informed consent before proceeding with the survey, rather than written consent, due to variability in literacy rates, and farmers’ comfort with reading written documents and ability to sign. In accordance with the guidelines of our institution’s HRRP and Institution Review Board, we first read a pre-approved oral consent script aloud to participants that explained the purpose of our study, our local collaborators, and the nature of questions. Participants were assured that their identities would remain anonymous, and no personal identifiers would be recorded from the information collected., [Usage notes] Analyses were conducted using R software 3.3.1 (R Core Team 2016) with ‘glm’ from the stats package for “univariate” (with fixed factor) models, and ‘glmulti’ from the glmulti package (version 1.0.7.1) for multivariate model selection (Calcagno and de Mazancourt 2010). Missing values (e.g., farmer was not asked about species as it was not included in the survey for a given survey area, farmer did not respond to the specific question) are designated as "NA". All analyses omitted NAs, unless otherwise specified in the manuscript., 1. There is a long-standing relationship between humans and vertebrate scavengers, as scavengers’ contributions take on regulating (e.g. nutrient recycling, disease control), material (e.g. competition, livestock depredation) and non-material (e.g. sky burials, ecotourism) roles in society. A social-ecological approach to studying biodiversity is increasingly needed, since the inclusion of local perceptions and knowledge has proven critical for effective conservation programs and ecosystem management., 2. We examine livestock farmers’ perceptions and knowledge related to vertebrate scavengers in the highly diverse Chitwan-Annapurna Landscape (Nepal), and assess the sociodemographic traits that influence their perceived value of scavengers’ ecosystem services provisioning (ESP), and function via scavenging services (SS)., 3. Farmers’ perceptions of functional importance (SS) showed species-specific gradation, unlike ESP, where only avian scavengers were perceived as beneficial. Our results show that the perception of scavenging as a beneficial ecosystem service and its importance as a biological function are decoupled for facultative scavengers, and coupled for obligate scavengers. Relatedly, we identify that affluence-related traits drove positive perceptions of ESP, and local ecological knowledge-based traits were linked to increased knowledge of function via SS., 4. Thus, this increased awareness of functional importance based on close contact with nature does not guarantee positive valuations of scavengers’ contributions, whereas formal education did influence positive perceptions despite reduced awareness of function. Additionally, our findings suggest that existing environmental education measures are targeting the right groups, as these respondents coincide with lower favorability of scavengers’ ecosystem services, but may be unable to overcome existing human-wildlife conflict., 5. For the first time in South Asia, we survey relevant community stakeholder’s attitudes towards an entire scavenging guild and their associated benefits, detriments, and functional importance. Our study illustrates the varied perceptions that exist for different scavenger species, and closely examines a wide-ranging set of sociodemographic traits that show disparate influences on farmers’ knowledge of ecological function and perceived ecosystem service benefits. Crucially, these findings can guide conservation and management priorities by considering the differences in public perception and awareness of scavenging, as well as the interpretation of nature’s contribution to people., Peer reviewed

Figure S1. Correlation chart of environmental variables used for microclimatic models in the PNOMP.-- Table S1. Intercept and significant coefficients of environmental variables included in “microclimatic” Generalized Linear Models, after model selection by Akaike Information Criteria (stepAIC). All models were statistically significant (p<0.001).-- Table S2. Intercept and significant coefficients of environmental variables included in “refugial capacity” Generalized Linear Models, after model selection by Akaike Information Criteria (stepAIC). All models were statistically significant (p<0.001)., Peer reviewed

Appendix S1-S5 and References., Peer reviewed

Supplementary Tables (S1-S6) and Figures (S1-S3)., Peer reviewed