BUSCADOR RECOLECTA

Peer reviewed

Trans-Saharan migrants often spend a large proportion of their annual cycle wintering in the Sahel. Advances in fieldwork and tracking technology have greatly enhanced our ability to study their ecology in these areas. Using GPS-tracking we aimed to investigate the little-known non-breeding movements of the lesser kestrel Falco naumanni in sub-Saharan Africa. We segment non-breeding tracks (n = 79 tracks by 54 individuals) into staging events (131± 25 days per non-breeding cycle), itinerant movements between staging sites (11 ± 10 days), and non-directed exploratory movements (6 ± 5 days). We then describe timing and directionality of itinerant movements by male and female kestrels throughout the non-breeding season. Regardless of sex, lesser kestrels spent on average 89% of the non-breeding season staging at 2 (range = 1–4) sites in West Africa. At the end of September, kestrels arrived along a broad front throughout the northern Sahel. By December, however, they congregated into two distinct clusters in Senegal and along the Malian-Mauritanian border. The birds stayed for longer periods and showed greater daily activity in the latter areas, compared to their first and intermediate ones. Among 24 individuals tracked along multiple annual cycles, 20 individuals consistently used the Senegalese or Malian-Mauritanian cluster. The remaining four birds used these clusters only after 2-3 years of tracking or switched between clusters across years. The eastward and westward itinerant movements of lesser kestrels during the non-breeding season, coupled with their tendency to cluster geographically towards the end, differ from the southward movements of other insectivorous raptors in West Africa. While 31% of Spanish lesser kestrels converged in Senegal, where roosts of > 20,000 birds are known, 68% moved into the Malian-Mauritanian border region where more groundwork is needed.c, Regional Government of Andalusia : 2007-2010, ref: P06-RNM-01712, Proyecto HORUS; Regional Government of Andalusia : 2010-2013 ref: P09- RNM-04588, Proyecto HORUS; Government of Extremadura : LIFE 15NAT/ES/001016, LIFE-ZEPAURBAN; Ministerio de Ciencia e Innovación : 2016-2019, ref: CGL2016-79249-P) (AEI/FEDER, UE), KESTRELS-MOVE; Ministerio de Ciencia e Innovación : 2022-2025, ref: PID2020-115793GB) (AEI/FEDER, UE), MERCURIO; Ministerio de Ciencia e Innovación : 2021-2023 , LIFEWATCH-2019-09-CSIC-4, POPE 2014-2020, SUMHAL; CaixaBank : ID 100010434, ref. LCF/BQ/DI17/11620014; Iberdrola (Spain) , ‘Migra’ program of SEO/ BirdLife, GREFA, Córdoba Zoo, Alcalá de Henares Municipality Global Nature Foundation : LIFE15 NAT/ ES/000734, LIFE Project “Steppe Farming” ICTS-RBD, Doñana, Spain, Peer reviewed

Community weighted means and community means of four important traits of carabid and spider arthropods in Switzerland. These datasets were analyzed to support the findings in the paper "Land-use change in the past 40 years explains shifts in arthropod community traits"., Peer reviewed

Code and data for the Dynamical Model of Oceanic Sulfur production and consumption during phytoplankton blooms (DMOS-BLOOM) The version DMOS_BLOOM_v1, currently the only available version, was used to write the article submitted to Limnology and Oceanography in early November 2022 by Guillaume Le Gland, Marta Masdeu-Navarro, Martí Galí, Sergio M. Vallina, Matti Gralka, Flora Vincent, Otto Cordero, Assaf Vardi and Rafel Simó. The version DMOS_BLOOM_v2 was used to write the revised article submitted in May 2023 DMOS-BLOOM is designed to run on both open-source GNU-Octave (version 4.4.1 and more recent) and MATLAB (version R2010b and more recent). The execution has been tested on Windows with a 2.5 GHz Intel i5-3210M processor, on Linux Ubuntu with a 2.4 GHz Intel Xeon E5645 processor, and on Linux Debian with a 2.6 GHz Intel Xeon E5-2640 processor. The main module is DMOS_BLOOM.m. The model options can be modified in DMOS_BLOOM_keys.m and DMOS_BLOOM_parameters.m. The data necessary to run DMOS_BLOOM, mainly observations of DMSP and DMS concentrations and microbial abundances, are located in the DATA folder., With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)., Peer reviewed

The data supports the paper "Local and landscape factors shape alpha and beta trophic interaction diversity in urban gardens". It provides: (1) the host-natural enemy interaction networks and network metrics between cavity-nesting bees and wasps and their natural enemies, (2) the explanatory variables reflecting urban intensity, temperature, habitat amount and management intensity. (3) the questionnaires for assessing management intensity. (4) a thesaurus for the variable names. (5) a readme file. (6) the R script used for the analyses. The data is part of the BetterGardens project. It was sampled in 85 allotment and home gardens in the ctiy of Zurich in 2015 using standardized trapnests., This work was supported by: SNF Sinergia, Grant/Award: CRSII1 154416; Juan de la Cierva, Grant/Award: FJC2021-046829-I; SNF Sinergia, Grant/Award: 154416; SNF Postdoc.Moibility, Grant/Award: P500PN_217754, Peer reviewed

Canadian fisheries management has embraced the precautionary approach and the incorporation of ecosystem information into decision-making processes. Accurate estimation of fish stock biomass is crucial for ensuring sustainable exploitation of marine resources. Spatio-temporal models can provide improved indices of biomass as they capture spatial and temporal correlations in data and can account for environmental factors influencing biomass distributions. In this study, we developed a spatio-temporal generalized additive model (st-GAM) to investigate the relationships between bottom temperature, depth, and the biomass of three key fished species on The Grand Banks: snow crab (Chionoecetes opilio), yellowtail flounder (Limanda ferruginea), and Atlantic cod (Gadus morhua). Our findings revealed changes in the centre of gravity of Atlantic cod that could be related to a northern shift of the species within the Grand Banks or to a faster recovery of the 2J3KL stock. Atlantic cod also displayed hyperaggregation behaviour with the species showing a continuous distribution over the Grand Banks when biomass is high. These findings suggest a joint stock assessment between the 2J3KL and 3NO stocks would be advisable. However, barriers may need to be addressed to achieve collaboration between the two distinct regulatory bodies (i.e., DFO and NAFO) in charge of managing the stocks. Snow crab and yellowtail flounder centres of gravity have remained relatively constant over time. We also estimated novel indices of biomass, informed by environmental factors. Our study represents a step towards ecosystem-based fisheries management for the highly dynamic Grand Banks., Peer reviewed

Canadian fisheries management has embraced the precautionary approach and the incorporation of ecosystem information into decision-making processes. Accurate estimation of fish stock biomass is crucial for ensuring sustainable exploitation of marine resources. Spatio-temporal models can provide improved indices of biomass as they capture spatial and temporal correlations in data and can account for environmental factors influencing biomass distributions. In this study, we developed a spatio-temporal generalized additive model (st-GAM) to investigate the relationships between bottom temperature, depth, and the biomass of three key fished species on The Grand Banks: snow crab (Chionoecetes opilio), yellowtail flounder (Limanda ferruginea), and Atlantic cod (Gadus morhua). Our findings revealed changes in the centre of gravity of Atlantic cod that could be related to a northern shift of the species within the Grand Banks or to a faster recovery of the 2J3KL stock. Atlantic cod also displayed hyperaggregation behaviour with the species showing a continuous distribution over the Grand Banks when biomass is high. These findings suggest a joint stock assessment between the 2J3KL and 3NO stocks would be advisable. However, barriers may need to be addressed to achieve collaboration between the two distinct regulatory bodies (i.e., DFO and NAFO) in charge of managing the stocks. Snow crab and yellowtail flounder centres of gravity have remained relatively constant over time. We also estimated novel indices of biomass, informed by environmental factors. Our study represents a step towards ecosystem-based fisheries management for the highly dynamic Grand Banks., Peer reviewed

The long-term monitoring on plant cover of Doñana shrublands is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting Terrestrial Vegetation. The general aim of this protocol is to monitor and assess the dynamics of the main dominant terrestrial and aquatic vegetation types of Doñana. For shrublands, percent cover is recorded annually starting from 2008 to the present (2023) by staff of the Monitoring Team by one sampling campaign per year during the flowering season (between March and May) in 21 permanent square plots (15x15m). Cover is measured using the line intercept method in 3 transects of 15 m length oriented from East to West and located at fixed points of 2.5, 7.5 and 12.5 metres at both sides of the plot. Using the line-intercept method, the coverage of each species is measured with a measuring tape, including the class age (adult or seedling) and the canopy status (green or dead). This method enables to calculate the percent cover for each species across the transect and for the whole plot, including data on class age and percent of dry and green canopy, additionally to the percent of bare soil, plant density, species richness and vascular plant diversity for every plot., Peer reviewed

The dataset includes surface air temperature at 2 m (SAT) and subsurface temperature (soilTs) yearly information for a Past2k (0-1850) simulation extended to the historical period (1850-2014) and SSP585 climate change scenario (2015-2100, P2k+) conducted with a modified version of the CMIP6 low-resolution Earth System Model of the Max Planck Institute for Meteorology, the MPI-ESM1.2-LR (Mauritsen et al., 2019). MPI-ESM1.2 comprises the ocean model MPIOM1.6 and the atmosphere model ECHAM6.3 (Stevens et al., 2013). The latter is directly coupled to the Land Surface Model JSBACH3.2 (Reick et al., 2021) through the surface exchange of mass, momentum, and heat. The low-resolution configuration (MPI-ESM1.2-LR) has an atmospheric horizontal resolution truncated to T63, corresponding approximately to a 200-km grid cell size. This resolution is shared by the LSM. The standard shallow 5-layer vertical discretization of JSBACH3.2 (bottom boundary ca. 10 m) is modified to a much deeper 12-layer configuration (bottom boundary ca. 1400 m), following González-Rouco et al. (2021). Additionally to the SAT and soilTs data, the land mask, and the global gridded maps of soil volumetric heat capacity (soilhcap) and diffusivity (soilhdiff) used by JSBACH are included., We thank the Deutsches Klimarechenzentrum (DKRZ) for the resources granted by its Scientific Steering Committee (WLA) to run MPI-ESM1.2-LR P2k+ deep simulation under project ID bm1026 (PI: Johann Jungclaus)., Peer reviewed

This zenodo repository contains the code for the version 1.0 of a one-dimensional heat Conduction Forward Model (ConForMv1.0), along with an example of application. This model numerically resolves the Fourier's one-dimensional Partial Differential Equation: dT/dt=k d^2T/dz^2 where T represents the temperature at a specific depth z and time step t, and k denotes the thermal diffusivity. The numerical solution is derived by a Finite Time Centered Space finite difference scheme, consisting of an explicit Euler scheme for time resolution and a second-order central difference for the spatial dimension (Roache, 1998). The resulting numerical solution of the heat conduction equation can be expressed as: T_{i}^{n+1} = T_{i}^{n} + k Dt (T_{i-1}^{n}-2 T_{i}^{n}+ T_{i+1}^{n})/(\Dz^2) with T_{i}^{n} representing the temperature value at soil level i during time step n, and Dt the time step increment. The model produces the subsurface vertical temperature structure at each time step, employing a thermal equilibrium boundary condition at the ground surface, i.e., T[z=0]=T_0, and a flux boundary condition at the bottom, i.e., T'[z=z_max]=C. This C might be 0 or a constant value, which could represent the geothermal gradient. To ensure the stability of the numerical scheme, governed by the Courant-Friedrichs-Lewy condition (Courant et al., 1928), a constant time step of 1 day and a soil layer thickness of 1 m was employed. To compile the model on your local PC, download the Fortran 90 code "ConForMv1-0.f90" and compile it using gfortran. To do that, you need to have Fortran installed on your PC. Once compiled, you can start running with it. A folder named "EXAMPLE" was included so to provide the user with an example input time serie (in NetCDF), and illustrate the usage and output of ConForMv1.0. For that purpose, a Shell script is also attached as a guidance for the user to obtain the desired output result. If you use the code, kindly cite the following publications: García-Pereira, F. et al. (2023): "First comprehensive assessment of industrial era land heat uptake from multiple sources". Submitted to Earth System Dynamics. Steinert, N. J. et al. (2023): "Underestimated land heat uptake alters the global energy distribution in CMIP6 climate models". Submitted to Geophysical Research Letters. Please cite this repository as well. You may find the citation and DOI on the right sidebar., Peer reviewed