Microplastics in marine sponges (Porifera) along a highly urbanized estuarine gradient in Santos, Brazil.

Microplastics (MPs) are ubiquitously found in environmental matrices, particularly affecting aquatic systems. While several marine species have been widely used to assess MP contamination, sponges (Porifera) are less used. The MPs contamination was assessed in the sun sponge (Hymeniacidon heliophila) along a gradient at the Santos Estuarine System (Brazil). A 14-fold difference between concentrations (particles g-1) was verified between the most (1.40 ± 0.81) and least (0.10 ± 0.12) contaminated sites, confirming the local contamination gradient. The MPs found were primarily polypropylene, small (1.2-1000 µm), fibrous, and colored. Considering total concentrations, sizes and shapes these spatial patterns were similar those previously detected in molluscs obtained in the same sites. On the other hand, they differed in polymeric composition and color categories. Such findings give important initial insights into the potential role of marine sponges as putative sentinels of MPs contamination.

Monitoring agricultural drought using different indices based on remote sensing data in the Brazilian biomes of Cerrado and Atlantic Forest.

Several remote sensing indices have been used to monitor droughts, mainly in semi-arid regions with limited coverage by meteorological stations. The objective of this study was to estimate and monitor agricultural drought conditions in the Jequitinhonha Valley region, located in the Brazilian biomes of the Cerrado and Atlantic Forest, from 2001 to 2021, using vegetation indices and the meteorological drought index from remote sensing data. Linear regression was applied to analyze drought trends and Pearson's correlation coefficient was applied to evaluate the relationship between vegetation indices and climatic conditions in agricultural areas using the Standardized Precipitation Index. The results revealed divergences in the occurrences of regional droughts, predominantly covering mild to moderate drought conditions. Analysis spatial of drought trends revealed a decreasing pattern, indicating an increase in drought in the Middle and Low Jequitinhonha sub-regions. On the other hand, a reduction in drought was observed in the High Jequitinhonha region. Notably, the Vegetation Condition Index demonstrated the most robust correlation with the Standardized Precipitation Index, with R values ​​greater than 0.5 in all subregions of the study area. This index showed a strong association with precipitation, proving its suitability for monitoring agricultural drought in heterogeneous areas and with different climatic attributes. The use of remote sensing technology made it possible to detect regional variations in the spatio-temporal patterns of drought in the Jequitinhonha Valley. This vision helps in the implementation of personalized strategies and public policies, taking into account the particularities of each area, in order to mitigate the negative impacts of drought on agricultural activities in the region.

EEG changes during passive movements improve the motor imagery feature extraction in BCIs-based sensory feedback calibration.

Objective.This work proposes a method for two calibration schemes based on sensory feedback to extract reliable motor imagery (MI) features, and provide classification outputs more correlated to the user's intention.Method.After filtering the raw electroencephalogram (EEG), a two-step method for spatial feature extraction by using the Riemannian covariance matrices (RCM) method and common spatial patterns is proposed here. It uses EEG data from trials providing feedback, in an intermediate step composed of bothkth nearest neighbors and probability analyses, to find periods of time in which the user probably performed well the MI task without feedback. These periods are then used to extract features with better separability, and train a classifier for MI recognition. For evaluation, an in-house dataset with eight healthy volunteers and two post-stroke patients that performed lower-limb MI, and consequently received passive movements as feedback was used. Other popular public EEG datasets (such as BCI Competition IV dataset IIb, among others) from healthy subjects that executed upper-and lower-limbs MI tasks under continuous visual sensory feedback were further used.Results.The proposed system based on the Riemannian geometry method in two-steps (RCM-RCM) outperformed significantly baseline methods, reaching average accuracy up to 82.29%. These findings show that EEG data on periods providing passive movement can be used to contribute greatly during MI feature extraction.Significance.Unconscious brain responses elicited over the sensorimotor areas may be avoided or greatly reduced by applying our approach in MI-based brain-computer interfaces (BCIs). Therefore, BCI's outputs more correlated to the user's intention can be obtained.

Danger under wheels: mammal roadkills in the threaten lowland Atlantic Forest in southeast Brazil / Perigo sob rodas: atropelamentos de mamíferos na ameaçada Mata Atlântica de baixada no sudeste do Brasil

Understanding the ecological impacts of roads on mammals requires periodic monitoring of roads, and identification of both temporal and spatial distribution of roadkills (i.e., roadkill hotspots). The main aim of the study was to identify the most roadkilled mammals and evaluate the temporal and spatial distribution of roadkills in the RJ-122, a highway that crosses the threaten lowland Atlantic Forest in the state of Rio de Janeiro, southeast Brazil. Between October 2017 and January 2020, an intense monitoring study was conducted, with the carcasses of the roadkilled mammals being collected three times a week. Overall, we recorded 295 roadkilled mammals belonging to 22 species, resulting in 11 roadkills per month for the RJ-122 highway. The black-eared opossum, Didelphis aurita (N=149, 51%) stood out as the most roadkilled mammal, followed by porcupine, Coendou spinosus (N= 24, 8%), crab-eating fox, Cerdocyon thous (N= 23, 8), nine-banded armadillo, Dasypus novemcinctus (N= 23, 8%), and white-tufted marmoset, Callithrix jacchus (N= 20, 7%). Roadkills on the RJ-122 varied throughout the year, being more frequent in the rainy season (N=180) than in the dry season (N=115), and were concentrated in two hotspots, indicating some critical points with high roadkill frequency. Hotspots were associated with areas with dense natural vegetation, which can function as forest corridors in this fragmented landscape. Based on our results, several mitigation measures are recommended for the RJ-122 highway.(AU)

Compreender os impactos ecológicos das estradas sobre a fauna de mamíferos requer o monitoramento periódico das estradas e a identificação da distribuição temporal e espacial dos atropelamentos (ou seja, hotspots de atropelamentos). O objetivo principal do estudo foi identificar os mamíferos mais atropelados e avaliar a distribuição temporal e espacial dos atropelamentos na RJ-122, uma rodovia que atravessa a ameaçada Mata Atlântica de baixada no estado do Rio de Janeiro, sudeste do Brasil. Entre outubro de 2017 e janeiro de 2020, foi realizado um intenso estudo de monitoramento, com a coleta três vezes por semana das carcaças dos mamíferos atropelados. Ao todo, registramos 295 mamíferos atropelados pertencentes a 22 espécies, resultando em 11 atropelamentos por mês para a rodovia RJ-122. O gambá-de-orelha-preta, Didelphis aurita (N=149, 51%) destacou-se como o mamífero mais atropelado, seguido pelo ouriço-cacheiro, Coendou spinosus (N= 24, 8%), cachorro-do-mato, Cerdocyon thous (N= 23, 8%), tatu-galinha, Dasypus novemcinctus (N= 23, 8%) e sagui-de-tufo-branco, Callithrix jacchus (N= 20, 7%). Os atropelamentos na RJ-122 variaram ao longo do ano, sendo mais frequentes na estação chuvosa (N=180) do que na estação seca (N=115), e se concentraram em duas áreas, indicando alguns pontos críticos com alta frequência de atropelamentos. Os hotspots foram associados a áreas com vegetação natural densa, que podem funcionar como corredores florestais nesta paisagem fragmentada. Com base em nossos resultados, várias medidas de mitigação são recomendadas para a rodovia RJ-122.(AU)

Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface.

Motor imagery (MI)-based brain-computer interface (BCI) systems have shown promising advances for lower limb motor rehabilitation. The purpose of this study was to develop an MI-based BCI for the actions of standing and sitting. Thirty-two healthy subjects participated in the study using 17 active EEG electrodes. We used a combination of the filter bank common spatial pattern (FBCSP) method and the regularized linear discriminant analysis (RLDA) technique for decoding EEG rhythms offline and online during motor imagery for standing and sitting. The offline analysis indicated the classification of motor imagery and idle state provided a mean accuracy of 88.51 ± 1.43% and 85.29 ± 1.83% for the sit-to-stand and stand-to-sit transitions, respectively. The mean accuracies of the sit-to-stand and stand-to-sit online experiments were 94.69 ± 1.29% and 96.56 ± 0.83%, respectively. From these results, we believe that the MI-based BCI may be useful to future brain-controlled standing systems.

Urban Land Expansion from Scratch to Urban Agglomeration in the Federal District of Brazil in the Past 60 Years.

Empirical studies of urban expansion have increased rapidly in recent decades worldwide. Previous studies mainly focused on cities in China, the United States or African countries, with Brazilian cities receiving less attention. Moreover, such studies are rare in purpose-built cities. Taking the urban expansion from scratch (1960) to urban agglomeration (2015) in the Federal District of Brazil (FDB) as an example, this study aims to quantify the magnitude, patterns, modes, types and efficiency of urban land expansion and attempts to reveal some implications within sustainable urban expansion thinking. Annual expansion, landscape metrics, local Moran's I index, area weighted mean expansion index, and land-use efficiency were computed. The suitability of diffusion-coalescence theory and the impact of population growth and urban development policies on urban expansion were discussed. Urban land continuously expanded and became more fragmented during 1960-2015, which mainly occurred in SSW and WSW directions. Urban land evolved in a polycentric way. Edge expansion was identified as the stable contributor, and the importance of infilling and spontaneous growth alternated. Urban expansion in this region supported the diffusion-coalescence theory. Population growth promoted urban expansion, and the creation of peripheral urban nuclei and their development were associated with the urban expansion and the changes in urban land structure. This study adds new empirical evidence of urban expansion to Brazil urbanization, and compact urbanization, population control, and efficient urban land use should be considered in the future.

Census Tract Patterns and Contextual Social Determinants of Health Associated With COVID-19 in a Hispanic Population From South Texas: A Spatiotemporal Perspective.

BACKGROUND: Previous studies have shown that various social determinants of health (SDOH) may have contributed to the disparities in COVID-19 incidence and mortality among minorities and underserved populations at the county or zip code level. OBJECTIVE: This analysis was carried out at a granular spatial resolution of census tracts to explore the spatial patterns and contextual SDOH associated with COVID-19 incidence from a Hispanic population mostly consisting of a Mexican American population living in Cameron County, Texas on the border of the United States and Mexico. We performed age-stratified analysis to identify different contributing SDOH and quantify their effects by age groups. METHODS: We included all reported COVID-19-positive cases confirmed by reverse transcription-polymerase chain reaction testing between March 18 (first case reported) and December 16, 2020, in Cameron County, Texas. Confirmed COVID-19 cases were aggregated to weekly counts by census tracts. We adopted a Bayesian spatiotemporal negative binomial model to investigate the COVID-19 incidence rate in relation to census tract demographics and SDOH obtained from the American Community Survey. Moreover, we investigated the impact of local mitigation policy on COVID-19 by creating the binary variable "shelter-in-place." The analysis was performed on all COVID-19-confirmed cases and age-stratified subgroups. RESULTS: Our analysis revealed that the relative incidence risk (RR) of COVID-19 was higher among census tracts with a higher percentage of single-parent households (RR=1.016, 95% posterior credible intervals [CIs] 1.005, 1.027) and a higher percentage of the population with limited English proficiency (RR=1.015, 95% CI 1.003, 1.028). Lower RR was associated with lower income (RR=0.972, 95% CI 0.953, 0.993) and the percentage of the population younger than 18 years (RR=0.976, 95% CI 0.959, 0.993). The most significant association was related to the "shelter-in-place" variable, where the incidence risk of COVID-19 was reduced by over 50%, comparing the time periods when the policy was present versus absent (RR=0.506, 95% CI 0.454, 0.563). Moreover, age-stratified analyses identified different significant contributing factors and a varying magnitude of the "shelter-in-place" effect. CONCLUSIONS: In our study, SDOH including social environment and local emergency measures were identified in relation to COVID-19 incidence risk at the census tract level in a highly disadvantaged population with limited health care access and a high prevalence of chronic conditions. Results from our analysis provide key knowledge to design efficient testing strategies and assist local public health departments in COVID-19 control, mitigation, and implementation of vaccine strategies.

Mortality of the Atlantic ghost crab Ocypode quadrata (Fabricius, 1787) due to vehicle traffic on sandy beaches: A road ecology approach.

Sandy beaches are not roads, but they have been used as such worldwide, threatening endemic fauna such as ghost crabs (Crustacea: Ocypodidae). The objective of the present study was to identify the spatial factors influencing the incidence of ghost crabs (Ocypode quadrata) killed by vehicles. This study included a systematic study of carcasses with clear signals of crushing by cars on beaches with distinct urbanization levels and on dirt roads crossing low-urbanized beach stretches. Predictive variables (e.g., tyre tracks on the sand, proxies of urbanization, distance from coastal lagoons and beach width) were obtained for the kill points and random points. Generalized linear models with binomial distributions showed that the number of tyre tracks nearby (positive correlation) and indicators of urbanization in the environment (negative correlation) were the main variables explaining ghost crab kills on the beach. Similarly, the likelihood of finding crabs killed by vehicles on the dirt road was associated with the areas with the densest ghost crab populations (higher beach width and low-urbanized areas). Therefore, as an important conservation strategy and mitigation action, vehicle traffic must be severely controlled mainly on low-urbanized beaches, both on the sand and dirt roads crossing natural beach vegetation.

Vegetation Pattern Modulates Ground Arthropod Diversity in Semi-Arid Mediterranean Steppes.

The ecological functioning of dryland ecosystems is closely related to the spatial pattern of the vegetation, which is typically structured in patches. Ground arthropods mediate key soil functions and ecological processes, yet little is known about the influence of dryland vegetation pattern on their abundance and diversity. Here, we investigate how patch size and cover, and distance between patches relate to the abundance and diversity of meso-and microarthropods in semi-arid steppes. We found that species richness and abundance of ground arthropods exponentially increase with vegetation cover, patch size, and patch closeness. The communities under vegetation patches mainly respond to patch size, while the communities in the bare-soil interpatches are mostly controlled by the average distance between patches, independently of the concurrent changes in vegetation cover. Large patches seem to play a critical role as reserve and source of ground arthropod diversity. Our results suggest that decreasing vegetation cover and/or changes in vegetation pattern towards small and over-dispersed vegetation patches can fast lead to a significant loss of ground arthropods diversity in drylands.

Spatiotemporal association between the mite Brevipalpus yothersi and Citrus leprosis virus C in orange orchards.

Citrus leprosis virus C (CiLV-C) is an economically important pathogen and the main causative agent of leprosis disease in citrus orchards. The main vector of this disease, the mite Brevipalpus yothersi, is widely distributed in Mexican orchards on a wide range of citrus species. Despite the importance of both the virus and the mite, field studies recording their occurrence and co-occurrence are practically non-existent. We systematically sampled orange orchards for both CiLV-C and B. yothersi throughout the year. The distribution of the CiLV-C and B. yothersi was evaluated on each sampling occasion and their spatiotemporal associations were determined. Specifically, 100-112 orange trees, distributed in 18 rows (five or six trees per row), were sampled monthly between March 2017 and February 2018 (11 sampling dates). Twenty leaves per tree were sampled on each occasion. The number of mites per tree and the percentage of leaves per tree with disease symptoms were recorded. On each sampling occasion, spatiotemporal associations between mites and disease were determined using the Spatial Analysis by Distance Indices (SADIE) method. CiLV-C and B. yothersi were identified using molecular methods. Throughout the study, the distribution of CiLV-C was aggregated and the distribution of B. yothersi was random. No association was found between the virus and the mite on any of the sampling dates. In total, 173 mites were collected, but only 43 mites were found to be carrying CiLV-C. The reason for this lack of association between the virus and the mite, as well as the impact of our findings on the epidemiology of the disease in orange orchards, are discussed.

Trends in fragmentation and connectivity of Paspalum quadrifarium grasslands in the Buenos Aires province, Argentina.

BACKGROUND: Despite its wide distribution worldwide, only 4.6% of temperate grasslands are included within systems of protected areas. In Argentina, this situation is even more alarming: only 1.05% is protected. The study area (central area of the southern Salado River basin) has a large extent of grasslands of Paspalum quadrifarium (Pq) which has been target since the middle of the last century of a variety of agricultural management practices including fire burning for cattle grazing. METHODS: Five binary images of presence-absence data of Pq from a 42-year range (1974-2016) derived from a land cover change study were used as base data. Morphological Spatial Pattern Analysis (MSPA), Morphological Change Detection (MCD) and Network Connectivity Analysis (NCA) were performed to the data using Guidos Toolbox (GTB) for the estimation of habitat and connectivity dynamics of the Pq patches (fragments). RESULTS: A loss of the coverage area and habitat nuclei of this grassland was observed during the study period, with some temporal oscillation but no recovery to initial states. Additional drastic reduction in connectivity was also evident in resulting maps. The number of large Pq grassland fragments (>50 ha) decreased at beginning of the study period. Also, fragmentation measured as number of components (patches) was higher at the end of the study period. The Pq pajonal nuclei had their minimum representativeness in 2000, and recovered slightly in area in 2011, but with a significant percentage increase of smaller patches (=islets) and linear elements as bridges and branches. Large corridors (mainly edge of roads) could be observed at the end of the study period, while the total connectivity of the landscape pattern drops continuously. Statistics of links shows mean values decreasing from 1974 to 2016. On the other hand, maximum values of links decreased up to 19% in 2011, and recovered to a 54% of their original value in 2016. DISCUSSION: Pq fragmentation and habitat reduction could have an impact on the ecosystem functioning and the mobility of some species of native fauna. The connecting elements of the landscape were maintained and/or recovered in percentage in 2011 and 2016. This fact, although favoring the dispersion of the present diversity in the habitat nuclei could cause degradation by an edge effect. Part of the area has the potential to be taken as an area of research and as an example of livestock management, since it is the one that would most preserve the biodiversity of the Pq environment. On the methodological side, the use of a proved tool as GTB is useful for monitoring dynamics of a grassland-habitat fragmentation.

Resolving the paradox of clumped seed dispersal: positive density and distance dependence in a bat-dispersed species.

One of the hypothesized benefits of seed dispersal is to escape density- and distance-responsive, host-specific, natural enemies near maternal plants where conspecific seed and seedling densities are high. Such high conspecific neighbor densities typically result in lower offspring growth and survival (i.e., negative density-dependent effects), yet many dispersal modes result in clumped seed distributions. New World leaf-nosed bats transport fruits to their feeding roosts and deposit seeds, thereby creating high-density seed/seedling patches beneath feeding roosts in heterospecific trees away from maternal trees, which seemingly nullifies a key benefit of seed dispersal. Such dispersal may still be adaptive if negative density-dependent effects are reduced under feeding roosts or if the benefit of being dispersed away from maternal trees outweighs negative effects of conspecific seed/seedling density below roosts. We mapped the entire post-germination population of a bat-dispersed tree species Calophyllum longifolium (Calophyllaceae) in a 50-ha plot on Barro Colorado Island, Panama in each of three successive years. We tested two hypotheses: (1) distance-dependent effects are stronger than density-dependent effects on seedling performance because seedlings far from conspecific adults are more likely to escape natural enemies even when at high densities and (2) negative density-dependent effects will be reduced far from vs. near conspecific adults. Density and distance were naturally decoupled, as expected. However, in contrast to our expectation, we found positive density effects on seedling survival and density-dependent effects did not differ with distance from conspecific adults. Both density and distance had positive effects on seedling survival when considered together, while only year had a significant effect on seedling growth. Thus, both being dispersed under bat feeding roosts and escaping the vicinity of conspecific adults were beneficial for C. longifolium seedling survival, supporting the directed dispersal and escape hypotheses, respectively. Despite resulting in high densities of conspecific seedlings, favorable habitat under bat feeding roosts and lack of negative density-dependent effects appear to provide evolutionary advantages in C. longifolium.

Payments for ecosystem services in Mexico reduce forest fragmentation.

Forest fragmentation can lead to habitat reduction, edge increase, and exposure to disturbances. A key emerging policy to protect forests is payments for ecosystem services (PES), which offers compensation to landowners for environmental stewardship. Mexico was one of the first countries to implement a broad-scale PES program, enrolling over 2.3 Mha by 2010. However, Mexico's PES did not completely eliminate deforestation in enrolled parcels and could have increased incentives to hide deforestation in ways that increased fragmentation. We studied whether Mexican forests enrolled in the PES program had less forest fragmentation than those not enrolled, and whether the PES effects varied among forest types, among socioeconomic zones, or compared to the protected areas system. We analyzed forest cover maps from 2000 to 2012 to calculate forest fragmentation. We summarized fragmentation for different forest types and in four socioeconomic zones. We then used matching analysis to investigate the possible causal impacts of the PES on forests across Mexico and compared the effects of the PES program with that of protected areas. We found that the area covered by forest in Mexico decreased by 3.4% from 2000 to 2012, but there was 9.3% less forest core area. Change in forest cover was highest in the southern part of Mexico, and high-stature evergreen tropical forest lost the most core areas (-17%), while oak forest lost the least (-2%). Our matching analysis found that the PES program reduced both forest cover loss and forest fragmentation. Low-PES areas increased twice as much of the number of forest patches, forest edge, forest islets, and largest area of forest lost compared to high-PES areas. Compared to the protected areas system in Mexico, high-PES areas performed similarly in preventing fragmentation, but not as well as biosphere reserve core zones. We conclude that the PES was successful in slowing forest fragmentation at the regional and country level. However, the program could be improved by targeting areas where forest changes are more frequent, especially in southern Mexico. Fragmentation analyses should be implemented in other areas to monitor the outcomes of protection programs such as REDD+ and PES.

Spatial and temporal patterns of soil water content in an agroecological production system

ABSTRACT: Spatial and temporal patterns of soil water content (SWC) can not only improve the understanding of soil water processes but also the water management in the field. The spatial distribution of SWC depends on the spatial variability of soil attributes, vegetation and landscape features. The aim of this study was to evaluate: i) the spatial and temporal variability pattern in an agroecological system; ii) understand the factors affecting the spatial variations of SWC; iii) determine if wet and dry zones conserve their spatial position; iv) evaluate the possibility of using this information to reduce the number of SWC measurements. The experiment was carried out in an area of 2,502 m2, where a regular grid with spacing of 10 m was laid out. At each point, time domain reflectometer sensors were installed at depths of 0.05, 0.15, 0.30 m to monitor the SWC for 18 days in 2014 (Jan, Feb and Mar) and 9 days in 2014/2015 (Dec and Jan). The SWC, at the three soil depths, followed a similar and systematic pattern, being highest in the deepest layers, and exhibited temporal stability. The correlation between SWC and clay content varied both with the depth and the magnitude of SWC. During the wet season it is necessary to intensify the sampling density to estimate the SWC, while during the dry season the Spearman rank correlation remained high indicating the need for a small sampling effort only. The driest zones tend to conserve their spatial position more for a longer period than compared to wettest zones.(AU)

Spatial and temporal patterns of soil water content in an agroecological production system

ABSTRACT: Spatial and temporal patterns of soil water content (SWC) can not only improve the understanding of soil water processes but also the water management in the field. The spatial distribution of SWC depends on the spatial variability of soil attributes, vegetation and landscape features. The aim of this study was to evaluate: i) the spatial and temporal variability pattern in an agroecological system; ii) understand the factors affecting the spatial variations of SWC; iii) determine if wet and dry zones conserve their spatial position; iv) evaluate the possibility of using this information to reduce the number of SWC measurements. The experiment was carried out in an area of 2,502 m2, where a regular grid with spacing of 10 m was laid out. At each point, time domain reflectometer sensors were installed at depths of 0.05, 0.15, 0.30 m to monitor the SWC for 18 days in 2014 (Jan, Feb and Mar) and 9 days in 2014/2015 (Dec and Jan). The SWC, at the three soil depths, followed a similar and systematic pattern, being highest in the deepest layers, and exhibited temporal stability. The correlation between SWC and clay content varied both with the depth and the magnitude of SWC. During the wet season it is necessary to intensify the sampling density to estimate the SWC, while during the dry season the Spearman rank correlation remained high indicating the need for a small sampling effort only. The driest zones tend to conserve their spatial position more for a longer period than compared to wettest zones.

Incidencia de iccendios sobre la vegetación de unDinamarca y bogotá d.c. (Coloombia), entre 2001 y 2110 / Fire Incidence on Vegetation in Cundinamarca and Bogota D.C. (Colombia) During the 2001-2010 Period

En este trabajo se analizó la distribución temporal y espacial de incendios respecto a las coberturas vegetales del departamento de Cundinamarca y Bogotá D.C., en el periodo 2001-2010. A partir de datos de focos activos provenientes de MODIS, se encontró que los incendios en el área de estudio siguen un patrón constituido por eventos en las dos temporadas secas (enero-marzo y julio-septiembre), destacando además que la incidencia es causada por poca precipitación e intervención del hombre en espacios naturales. Las poblaciones más afectadas son Caparrapí: 159 incendios, Bogotá: 152 incendios y Guaduas: 101 incendios. Bogotá registra la mayoría de sus incendios en la parte sur, localidad de Sumapaz. En cuanto a áreas protegidas del departamento el parque con más registros de focos de incendios es el Parque Nacional Natural Sumapaz (84), seguido por el Distrito de Manejo Integrado Cuchilla de San Antonio (21) y la Reserva Forestal Protectora Páramo Grande (9). Entre la vegetación afectada se destacan pastos, arbustos, matorrales y sus mosaicos, resaltando altos valores de incidencia sobre la vegetación de páramo y subpáramo. Las partes centro y noroccidentales, sur y surorientales del departamento, son las que presentan más conflagraciones, la mayoría se ubican entre los 0 a 1.000 msnm y 3.000 a 4.000 msnm. Finalmente los incendios en el área de estudio muestran un patrón asociado al clima y en particular a la temporada seca, pero también un patrón altitudinal. Las áreas de PNN, de protección y conservación regionales, son efectivas contra los incendios.

This work aims to use remote sensing as a method for determining fire dynamics in the department of Cundinamarca and the city of Bogotá D.C. in Colombia, by analyzing the temporal and spatial distribution of fires and the different types of vegetation affected in the 2011-2010 period. Based on MODIS fire hotspots, we found that the pattern fires in the study area are within the national standard, which includes increased number of events during the dry seasons (January-March and July September). The fire incidence is caused by low rainfall that complements the root causes of ignition, which are mainly started by human intervention. The most affected populations are Caparrapí with 159 fires; Bogotá with 152 fires and Guaduas with 101 fires. Bogotá recorded most of their fires within protected areas in the south, in the area of Sumapaz. Sumapaz National Park (84), followed by the District Integrated Management Cuchilla de San Antonio (21) and Protective Forest Reserve Páramo Grande (9). Among the vegetation affected we can find grasses, shrubs, bushes and mosaics, emphasizing high values of impact on vegetation of páramo and subpáramo. The central and northwestern parts, south and southeast parts of the department, are those with more outbreaks, and most of them are between 0 to 1,000 masl and 3,000 to 4,000 masl. Finally active fires in the study area follow a pattern associated to the climate and in particular to the dry season but also show an altitudinal pattern. National and regional protected areas are effective against fires.

Slope variation and population structure of tree species from different ecological groups in South Brazil

Size structure and spatial arrangement of 13 abundant tree species were determined in a riparian forest fragment inParaná State, South Brazil (23"16'S and 51"01'W). The studied species were Aspidosperma polyneuron Müll. Arg., Astronium graveolens Jacq. and Gallesia integrifolia (Spreng) Harms (emergent species); Alseis floribunda Schott, Ruprechtia laxiflora Meisn. and Bougainvillea spectabilis Willd. (shade-intolerant canopy species); Machaerium paraguariense Hassl, Myroxylum peruiferum L. and Chrysophyllum gonocarpum (Mart. & Eichler ex Miq.) Engl. (shade-tolerant canopy species); Sorocea bonplandii (Baill.) Bürger, Trichilia casaretti C. Dc, Trichilia catigua A. Juss. and Actinostemon concolor (Spreng.) Müll. Arg. (understory small trees species). Height and diameter structures and basal area of species were analyzed. Spatial patterns and slope correlation were analyzed by Moran's / spatial autocorrelation coefficient and partial Mantel test, respectively. The emergent and small understory species showed the highest and the lowest variations in height, diameter and basal area. Size distribution differed among emergent species and also among canopy shade-intolerant species. The spatial pattern ranged among species in all groups, except in understory small tree species. The slope was correlated with spatial pattern for A. polyneuron, A. graveolens, A. floribunda, R. laxiflora, M. peruiferum and T. casaretti. The results indicated that most species occurredin specific places, suggesting that niche differentiation can be an important factor in structuring the tree community.

Visando contribuir para o conhecimento das estratégias devida de espécies em fragmentos florestais, foram determinadas as estruturas de tamanho e espacial de 13 espécies arbóreas do remanescente de floresta ciliar no Estado do Paraná, no Sul do Brasil (23"16'S e 51"01'W). Foram analisadas as espécies: Aspidosperma polyneuron Müll. Arg., Astronium graveolens Jacq. e Gallesia integrifolia (Spreng) Harms, (emergentes); Alseis floribunda Schott, Ruprechtia laxiflora Meisn. e Bougainvillea spectabilis Willd. (dossel, intolerantes à sombra); Machaerium paraguariense Hassl, Myroxylum peruiferum L. e Chrysophyllum gonocarpum (Mart. & Eichler exMiq.) Engl. (dossel, tolerantes à sombra); Sorocea bonplandii (Baill.) Bürger, Trichilia casaretti C. Dc, Trichilia catigua A. Juss. e Actinostemon concolor (Spreng.) Müll. Arg. (subosque). Analisou-se a estrutura de diâmetro de cada espécie. Para a análise do padrão espacial e correlação com adeclividade foram utilizados o Índice de Autocorrelação espacial de Moran e o Teste Parcial de Mantel, respectivamente. Os grupos das árvores emergentes e das espécies de subosque apresentaram as maiores e as menores variações na altura e no diâmetro e maior e menor área basal, respectivamente. Diferenças nas estruturas de diâmetro foram observadas entre as espécies emergentes e entre as espécies de dossel intolerantes à sombra. O padrão espacial variou entre as espécies de todos os grupos, exceto as espécies de subosque tolerantes à sombra. A topografia estava relacionada com a distribuição espacial de A. polyneuron, A. graveolens, A. floribunda, R. laxiflora, M. peruiferum e T. casaretti. A análise dos resultados indicou que para cada espécie a maioria dos indivíduos ocorriam em locais específicos, sugerindo que a diferenciação de nicho pode estar relacionada à estruturação desta comunidade arbórea.

Distribución espacio-temporal de variables fisicoquímicas y biológicas en el hábitat del tiburón ballena Rhincodon typus (Orectolobiformes: Rhincodontidae) al norte del Caribe Mexicano

Spatial and temporal distribution of physicochemical features in the habitat of whale shark Rhincodon typus (Orectolobiformes: Rhincodontidae) in the north of Mexican Caribbean. Large groups of whale sharks (Rhincodon typus) are common in the North Mexican Caribbean and gather between May and September each year. We describe their spatial and temporal distribution, and the physicochemical (temperature, dissolved oxygen, light extinction coefficient and salinity) and biological conditions during the presence and absence seasons of R. typus. A total of 26 sampling stations were monitored to record whale shark sightings and physicochemical variables during 10 field campaigns from April 2005 to March 2006. At each station, zooplankton and water samples, for chlorophyll-a and nutrients determination, were collected. Physicochemical conditions were significantly different between presence-absence seasons (ANOSIM, Rglobal = 0.632). The R. typus season was characterized by low salinity values, and higher temperature, chlorophyll-a, dissolved oxygen and inorganic nitrogen concentrations values. Average zooplankton biomass was lower during the absence season, while recorded the maximum values during the presence one. Furthermore, these values were also observed in areas with higher species abundances, supporting the hypothesis that the site is used by R. typus primarily as a foraging area. We conclude that physicochemical conditions of the study area promote the biological productivity, which explains the spatial and temporal variability of R. typus. Rev. Biol. Trop. 58 (1): 399-412. Epub 2010 March 01.

En la zona marina ubicada al norte del Caribe Mexicano se congregan grandes grupos de tiburón ballena (Rhincodon typus) entre mayo y septiembre de cada año. Se describe la variación espacio-temporal de la distribución del tiburón ballena al norte del Caribe mexicano y las condiciones fisicoquímicas y biológicas que prevalecen en la zona durante la temporada de presencia y ausencia de R. typus. De abril de 2005 a marzo de 2006, 26 estaciones de muestreo fueron monitoreadas registrando avistamientos de tiburón ballena y variables fisicoquímicas (temperatura, oxígeno disuelto, coeficiente de extinción de luz y salinidad) en 10 salidas de campo. En cada estación fueron recolectadas muestras zooplancton y de agua para determinación de clorofila-a y nutrientes. Las condiciones fisicoquímicas fueron significativamente diferentes entre temporadas (ANOSIM, Rglobal=0.632). La temporada de presencia de R. typus estuvo caracterizada por valores bajos de salinidad, mayores valores de temperatura y oxígeno disuelto; mayores de nitrógeno inorgánico disuelto y concentraciones de clorofila-a y aunque la biomasa promedio de zooplancton fue menor que en la temporada de ausencia de R. typus, los valores máximos de biomasa zooplanctónica se registraron en el periodo de presencia y en sitios donde se registraron las mayores abundancias de la especie, apoyando la hipótesis de que el sitio es utilizado por la especie principalmente como zona de alimentación. Las condiciones fisicoquímicas de la zona de estudio que favorecen la productividad biológica explican la variabilidad espacial y temporal de R. typus al norte del Caribe Mexicano.

Behaviour of dispersion indices in pattern detection of a population of angico, Anadenanthera peregrina (Leguminosae)

In this paper we calculate the values of eight pattern detection indices, using different quadrat sizes where individuals of angico above 1.5 m were located, in order to examine their statistical behaviour with increasing sample size. It was concluded that the best index is the standardized Morisita index (Ip) which is completely independent of sample size.

Neste trabalho calculamos os valores de oito índices de detecção de padrões, usando quadratins de tamanhos diferentes, onde indivíduos de angico com mais de 1,5 m estavam localizados, a fim de examinar seus comportamentos estatísticos com o aumento do tamanho da amostra. Conclui-se que o melhor índice é de Morisita padronizado (Ip), o qual é independente do tamanho da amostra.

Effects of grazing pattern and nitrogen availability on primary productivity.

A major part of the impact of grazing on primary productivity results from the joint action of tissue removal and nutrient return to the soil via dung and urine. Grazing, however, is not uniformly distributed in space: grazed grasslands show a matrix of grazed and ungrazed patches, which in turn, may or may not be affected by faecal or urine deposition. This paper investigates the effects of grazing spatial pattern and nitrogen availability on primary productivity. We propose that grazed plants located at the edge of a grazed patch are more shaded by their taller ungrazed neighbours than plants at the center. Since the border effect is less important as patch size increases, the effects of grazing will be more positive, or less negative, when grazing pattern is coarse-grained than when it is fine-grained. We also propose that nitrogen availability will affect this response to grazing through its effects on the intensity of competition for light and on the amount of compensatory growth. We performed a field experiment in a grassland community of the Flooding Pampa, Argentina, in which we compared the productivity of undefoliated controls and defoliated patches of different size, with and without nitrogen application. Defoliation reduced primary productivity and this effect was greater in the smallest, fertilized patches. Productivity was highest at patches of intermediate and large sizes. Nitrogen addition increased productivity by two-fold. The integrated photon flux density reaching the base of the canopy was affected by defoliation and by patch size: it was lower in controls than in defoliated patches and increased with patch size. Our results showed that (a) the size of the defoliated patch modified the response of this grassland to defoliation, (b) this response was correlated with light availability, and