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1.
Environ Sci Technol ; 53(12): 6640-6649, 2019 06 18.
Artigo em Inglês | MEDLINE | ID: mdl-31117529

RESUMO

The DNA of aquatic organisms can be identified in water sampled from freshwater ecosystems to detect species presence. Because these DNA-based methods (termed environmental DNA, eDNA) confirm species presence by proxy of DNA in water, the processes influencing eDNA transport and removal from water are critical to the method's efficacy and interpretation of results. Previous studies of aquatic eDNA transport and fate have employed uncontrolled field experiments, controlled studies in experimental streams, and laboratory column tests. As a step toward understanding the processes controlling eDNA transport and retention, we released and tracked experimental pulses of white sturgeon eDNA (novel to the system) in five fourth-order stream reaches with varied hydrology and geomorphology. We found strong support that stream water transient storage controls eDNA areal uptake rate (or spiraling length). We calculated the median spiraling length to be ∼260 m. Down channel slope correlated with transient storage, suggesting that this slope could be used as a proximate measure of eDNA removal into the benthic zone. Our results suggest that sampling effort should be increased in reaches with longer transient storage (or lower slopes) to compensate for the increase in eDNA retention.


Assuntos
DNA , Ecossistema , Organismos Aquáticos , Água Doce , Hidrologia
2.
Sci Total Environ ; 633: 695-703, 2018 Aug 15.
Artigo em Inglês | MEDLINE | ID: mdl-29602110

RESUMO

The detection of rare macroorganisms using environmental DNA (eDNA) is a powerful new method for conservation and management; the efficacy of this method is affected by physiological, ecological, and hydrological processes. Understanding the processes limiting eDNA detection and accounting for those factors with optimized sampling designs is critical for realizing the potential of this tool. Amphibians are a focus of conservation programs globally and are often difficult to detect, presenting a challenge for effective action. To increase the ability of eDNA techniques to inform conservation and management programs, we investigated the eDNA detection of amphibians compared with field surveys for six species across a gradient of environmental factors expected to affect eDNA detection in three different systems: perennial wetlands, intermittent wetlands, and acidic intermittent wetlands. We applied a baseline sampling design in each wetland and used an occupancy modeling approach to evaluate evidence for processes limiting detection for each species given the presence of the target species. Evidence weights indicated that limiting processes varied across systems and included those associated with increased degradation (pH<5, temperature>25°C) and limited dispersion (wetland area>1200m2, sample volume<200mL). Optimized sampling protocols based on model results included an increased number of sampling locations in large and highly degradative (acidic) wetlands and increased filter pore size in high-particulate systems. These improved designs compensated for the previously limiting factors and yielded average detection rates of 0.62-0.86 per water sample. Degradation and dispersion processes appear to strongly influence the detection of amphibians in wetlands. Optimized, adaptive sampling designs can greatly increase the efficacy of eDNA monitoring approaches.


Assuntos
Anfíbios/genética , DNA/análise , Monitoramento Ambiental/métodos , Áreas Alagadas , Animais , Ecologia , Ecossistema , Reação em Cadeia da Polimerase
3.
Ecol Appl ; 21(7): 2478-86, 2011 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-22073637

RESUMO

A growing number of programs seek to facilitate species conservation using incentive-based mechanisms. Recently, a market-based incentive program for the federally endangered Golden-cheeked Warbler (Dendroica chrysoparia) was implemented on a trial basis at Fort Hood, an Army training post in Texas, USA. Under this program, recovery credits accumulated by Fort Hood through contracts with private landowners are used to offset unintentional loss of breeding habitat of Golden-cheeked Warblers within the installation. Critical to successful implementation of such programs is the ability to value, in terms of changes to overall species viability, both habitat loss and habitat restoration or protection. In this study, we sought to answer two fundamental questions: Given the same amount of change in breeding habitat, does the change in some patches have a greater effect on metapopulation persistence than others? And if so, can characteristics of a patch (e.g., size or spatial location) be used to predict how the metapopulation will respond to these changes? To answer these questions, we describe an approach for using sensitivity analysis of a metapopulation projection model to predict how changes to specific habitat patches would affect species viability. We used a stochastic, discrete-time projection model based on stage-specific estimates of survival and fecundity, as well as various assumptions about dispersal among populations. To assess a particular patch's leverage, we quantified how much metapopulation viability was expected to change in response to changing the size of that patch. We then related original patch size and distance from the largest patch to each patch's leverage to determine if general patch characteristics could be used to develop guidelines for valuing changes to patches within a metapopulation. We found that both the characteristic that best predicted patch leverage and the magnitude of the relationship changed under different model scenarios. Thus, we were unable to find a consistent set of relationships, and therefore we emphasize the dangers in relying on general guidelines to assess patch value. Instead, we provide an approach that can be used to quantitatively evaluate patch value and identify critical needs for future research.


Assuntos
Ecossistema , Aves Canoras/fisiologia , Animais , Espécies em Perigo de Extinção , Modelos Biológicos , Dinâmica Populacional
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