TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Development and long-term dynamics of old-growth beech-fir forests in the Pyrenees: Evidence from dendroecology and dynamic vegetation modelling

Ecological knowledge on long-term forest dynamics and development has been primarily derived from the study of old-growth forests. Centuries of forest management have decreased the extent of temperate old-growth forests in Europe and altered managed forests. Disentangling the effects of past human disturbances and climate on current species composition is crucial for understanding the long-term development of forests under global change. In this study, we investigated disturbance and recruitment dynamics in two forests in the Western Pyrenees (Spain) with contrasting management history: an old-growth forest and a long-untouched forest, both dominated by the two shade-tolerant species Fagus sylvatica (European beech) and Abies alba (Silver fir). We used dendroecological methods in seven plots to analyse forest structure, growth patterns and disturbance histories in these forests. We benchmarked these data with the dynamic vegetation model ForClim to examine the effects of natural and human-induced disturbances on forest development, structure and species composition. Disturbance regimes differed between the study forests, but none showed evidence of stand replacing disturbances, either natural or human induced. Low disturbance rates and continuous recruitment of beech and fir dominated the old-growth forest over the last 400 years. In contrast, the long-untouched forest was intensively disturbed in 1700–1780, probably by logging, with lower natural disturbance rates thereafter. Beech and fir recruitment preferentially occurred after more intense disturbances, despite the high shade tolerance of both beech and fir. Higher fir abundance in the long-untouched forest than in the old-growth forest appeared to be related to its human-induced disturbances. ForClim closely simulated forest potential natural vegetation with a dominance of beech over fir, but overestimated the presence of less shade-tolerant species. Previously observed local fir decline may result from natural forest successional processes after logging. Within ∼200 years after logging cessation, some long-untouched forest structural attributes converged towards old-growth forest, but legacy effects still affected species composition and structure. Natural disturbance regimes in beech-fir forests of the Western Pyrenees induce temporal fluctuations between beech and fir abundance, with a natural tendency for beech dominance in advanced developmental stages with low disturbance rates.This work was funded by projects AGL2015-73190-JIN, PID2019-110273RB-I00, AGL2016-76769-C2-2-R and PID2020-119204RB-C22 by the Spanish Ministry of Science and Innovation MCIN/AEI. DM-B was also funded by contract RYC-2017-23389, and CP-C by contract RYC-2018-024939

Soropositividade para brucelose em suínos em abatedouros

O presente trabalho teve por objetivo investigar a soropositividade para brucelose em suínos em abatedouros. Foram coletados 910 soros de suínos, procedentes de 30 propriedades, abatidos em frigoríficos da região central do estado de São Paulo, e submetidos às provas de soroaglutinaçao com antígeno tamponado acidificado (AAT) e 2-Mercaptoetanol (2-Me) objetivando determinar a ocorrência da enfermidade nesta espécie. Do total de soros avaliados foram observados 25 (2,7%) animais reagentes ao AAT pertencentes a 10 propriedades, caracterizando 36% de propriedades positivas. Dos animais positivos ao AAT, 16% apresentaram titulo de 25 (incompleto) e 52% titulo de 25 na soroaglutinação lenta (SAL), 8% apresentaram titulo de 50 incompleto na SAL e 25 incompleto no 2-ME e 8% apresentaram titulo de 50 na SAL e 25 no 2-ME. Estes resultados demonstram o elevado percentual de propriedades positivas para brucelose nesta região e ressaltam a necessidade de implementação de programas oficiais efetivos para o controle da brucelose suína