21 resultados para eco-indicador 99

em BORIS: Bern Open Repository and Information System - Berna - Suiça


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BACKGROUND: We evaluated previously established regimens of capecitabine plus vinorelbine in older patients with advanced breast cancer stratified for presence versus absence of bone metastases. PATIENTS AND METHODS: Patients > or =65 years who had received no prior chemotherapy for advanced breast cancer received up to six 21-day cycles of vinorelbine 20 mg/m(2) i.v. on days 1 + 8 with oral capecitabine on days 1-14 (1,000 vs. 1,250 mg/m(2) daily in patients with vs. without bone involvement). RESULTS: Median age was 72 years in patients with bone metastases (n = 47) and 75 years in patients without bone metastases (n = 23). Response rates were 43% (95% confidence interval, CI, 28.3-58.8) and 57% (95% CI = 34.5-76.8), respectively. Median time to progression was 4.3 (95% CI = 3.5-6.0 months) and 7.0 months (CI = 4.1-8.3), respectively. Neutropenia was the most common toxicity, with grade 3/4 occurring in 43 and 39%, respectively. Pulmonary embolism was seen in 5 and grade 3 thrombosis in 3 patients. Other toxicities were mild to moderate. CONCLUSIONS: These regimens of capecitabine and vinorelbine are active and well tolerated in patients with advanced breast cancer > or =65 years. Response rates were comparable to published results. The lower capecitabine doses appeared appropriate given the advanced age, bone involvement and prior radiotherapy.

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The past decade has seen the rise of high resolution datasets. One of the main surprises of analysing such data has been the discovery of a large genetic, phenotypic and behavioural variation and heterogeneous metabolic rates among individuals within natural populations. A parallel discovery from theory and experiments has shown a strong temporal convergence between evolutionary and ecological dynamics, but a general framework to analyse from individual-level processes the convergence between ecological and evolutionary dynamics and its implications for patterns of biodiversity in food webs has been particularly lacking. Here, as a first approximation to take into account intraspecific variability and the convergence between the ecological and evolutionary dynamics in large food webs, we develop a model from population genomics and microevolutionary processes that uses sexual reproduction, genetic-distance-based speciation and trophic interactions. We confront the model with the prey consumption per individual predator, species-level connectance and prey–predator diversity in several environmental situations using a large food web with approximately 25,000 sampled prey and predator individuals. We show higher than expected diversity of abundant species in heterogeneous environmental conditions and strong deviations from the observed distribution of individual prey consumption (i.e. individual connectivity per predator) in all the environmental conditions. The observed large variance in individual prey consumption regardless of the environmental variability collapsed species-level connectance after small increases in sampling effort. These results suggest (1) intraspecific variance in prey–predator interactions has a strong effect on the macroscopic properties of food webs and (2) intraspecific variance is a potential driver regulating the speed of the convergence between ecological and evolutionary dynamics in species-rich food webs. These results also suggest that genetic–ecological drift driven by sexual reproduction, equal feeding rate among predator individuals, mutations and genetic-distance-based speciation can be used as a neutral food web dynamics test to detect the ecological and microevolutionary processes underlying the observed patterns of individual and species-based food webs at local and macroecological scales.

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Il contributo ripercorre la relazione uomo-castagno partendo dalle ultime glaciazioni per arrivare ai giorni nostri, con una crescente attenzione per le contrade insubriche, dove la castanicoltura raggiunse livelli straordinari di sviluppo. Dopo una sintesi critica sui primi indizi di coltivazione, si esamina la castanicoltura nel mondo greco e romano fino all’introduzione della coltivazione del castagno nell’area insubrica. Particolare attenzione è riservata al periodo aureo tardomedievale della castanicoltura nella Svizzera italiana, comprovato con dati linguistici, con l’analisi dei sistemi produttivi (composizione varietale, tecniche di essiccazione) e delle consuetudini locali. Si indagano in seguito le ragioni e le tappe storiche del declino della castanicoltura tradizionale. Si conclude discutendo la situazione attuale e le prospettive future dei castagneti a Sud delle Alpi, confrontati con alcuni problemi incalzanti come l’invecchiamento delle ceppaie nei cedui abbandonati e la comparsa di un insidioso parassita, il cinipide galligeno.

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One of the current challenges in evolutionary ecology is understanding the long-term persistence of contemporary-evolving predator–prey interactions across space and time. To address this, we developed an extension of a multi-locus, multi-trait eco-evolutionary individual-based model that incorporates several interacting species in explicit landscapes. We simulated eco-evolutionary dynamics of multiple species food webs with different degrees of connectance across soil-moisture islands. A broad set of parameter combinations led to the local extinction of species, but some species persisted, and this was associated with (1) high connectance and omnivory and (2) ongoing evolution, due to multi-trait genetic variability of the embedded species. Furthermore, persistence was highest at intermediate island distances, likely because of a balance between predation-induced extinction (strongest at short island distances) and the coupling of island diversity by top predators, which by travelling among islands exert global top-down control of biodiversity. In the simulations with high genetic variation, we also found widespread trait evolutionary changes indicative of eco-evolutionary dynamics. We discuss how the ever-increasing computing power and high-resolution data availability will soon allow researchers to start bridging the in vivo–in silico gap.