Category Archives: Field Methods

Making a Self-Preserving eDNA Filter

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Below is a press release about the Methods in Ecology and Evolution article ‘A self‐preserving, partially biodegradable eDNA filter‘ taken from the Smith-Root.

A new self-preserving filter housing automatically preserves eDNA, while reducing the risk of contamination, and creating less plastic waste.

Researcher collecting an eDNA sample using the self-preserving filter housing.

In 2015 the inventor of the Keurig disposable coffee cartridge (K-Cups) told reporters that sometimes he regrets ever inventing the technology. The single-use design simply produces too much non-recyclable trash. Well, that very same problem is what ultimately led to the creation of a self-preserving filter for environmental DNA (eDNA); a recently reported Practical Tool in Methods in Ecology and Evolution.

eDNA scientists rely on single-use sampling equipment because eDNA surveys are highly sensitive to potential contamination. “We started out simply looking for biodegradable plastics that could be molded into a filter housing, with the objective of reducing plastic waste.” says Dr. Austen Thomas who led the team of researchers and engineers who invented the Smith-Root eDNA Sampler. “That’s when we realized that some of the biodegradable compounds function by being highly hydrophilic.” Continue reading →

Scant Amounts of DNA Reveal Conservation Clues

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Below is a press release about the Methods in Ecology and Evolution article ‘Empowering conservation practice with efficient and economical genotyping from poor quality samples‘ taken from the Stanford Woods Institute for the Environment.

Wild tiger in India. ©Prasenjeet Yadav

The challenges of collecting DNA samples directly from endangered species makes understanding and protecting them harder. A new approach promises cheap, rapid analysis of genetic clues in degraded and left-behind material, such as hair and commercial food products.

The key to solving a mystery is finding the right clues. Wildlife detectives aiming to protect endangered species have long been hobbled by the near impossibility of collecting DNA samples from rare and elusive animals. Continue reading →

Studying Wild Bats with Small On-Board Sound and Movement Recorders

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Post provided by LAURA STIDSHOLT

Releasing a female Greater mouse-eared bat with the tag in collaboration with Holger Goerlitz, Stefan Greif and Yossi Yovel. ©Stefan Greif

The way that bats acrobatically navigate and forage in complete darkness has grasped the interest of scientists since the 18th century. These seemingly exotic animals make up one in four mammalian species and play important roles in many ecosystems across the globe from rainforests to deserts. Yet, their elusive ways continue to fascinate and frighten people even today. Over the last 200 years, dedicated scientists have worked to uncover how bats hunt and navigate using only their voice and ears while flying at high speed in complete darkness. Still, the inaccessible lifestyle of these small, nocturnal fliers continues to challenge what we know about their activities in the wild.

Understanding the impact bats have on their ecosystems – for example how many insects a bat catches per night – has still not been directly measured. Most of our knowledge on the natural behaviour and foraging ecology is based on elaborate, but ground-based experiments carried out in the wild. These experiments generally track their behaviour using radio-telemetry, record snapshots of their emitted echolocation calls with microphones, or involve extensive observations. Continue reading →

What Biases Could Your Sampling Methods Add to Your Data?

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Post provided by ROGER HO LEE

這篇博客文章也有中文版

Have you ever gone fishing? If so, you may have had the experience of not catching any fish, while the person next to you got plenty. If you walked along the pier or bank, you may have seen that other fishermen and -women caught fish of various shapes and sizes. You’d soon realise that each person was using a different set of equipment and baits, and of course, that the anglers differed in their skills and experience. Beneath the water were many fish, but whether you could catch them, or which species could even be caught, all depended on your fishing method, as well as where and how the fish you were targeting lived.

Designing Sampling Protocols

Head view of different ant species found in Hong Kong and further in SE Asia.

Head view of different ant species found in Hong Kong and further in South East Asia.

This is a lot like the situation that ecologists often face when designing sampling protocols for field surveys. While a comprehensive survey will yield the most complete information, few of us have the resources to capture every member of the community we’re studying. So, we take representative samples instead. But the method(s) used for sampling will only allow us to collect a subset of the species which are present. This selection of the species is not random per se – it’s dependent on species’ life history. Continue reading →

採樣方法會帶來怎樣的數據偏差?

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作者：李灝

This blog post is also available in English

你有釣魚的經驗嗎？若有的話，以下的經歷對你應該不會陌生。自己釣了大半天，魚杆動也沒動過，但身旁的釣手卻滿載而歸。感到灰心時，你沿著碼頭或岸邊巡視，你看到其他人的魚獲大大小小的也有﹑形態不同的的也有。心裡被疑惑與不甘的思緒纏繞著的一刻，你突然意識到每個人都在使用不同的釣具和魚餌（當然每位垂釣者的技能和經驗也不同）。在水中有各種各樣的魚，但你能否釣到牠們，或者釣到那一些品種，都取決於你釣魚的方法，以及你目標魚種的活動範圍和生活方式。

採樣方案的設計

Head view of different ant species found in Hong Kong and further in SE Asia.

香港和東南亞地區的螞蟻品種。

上述的經歷與生態學家在設計野外調查時所遇到的情況非常相似。雖然全面的調查能取得最完整的資料，但我們很少會有充足的資源去完整地採集整個物種群落。取而代之的是我們只能採集一部份的物種來作寫照。值得我們留意的是每種採樣方法只允許我們收集到群落中的某些物種；這些物種不是隨機地被選中，而是取決於物種的生活史。 Continue reading →

How Can Understanding Animal Behaviour Help Support Wildlife Conservation?

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Below is a press release about the Methods in Ecology and Evolution article ‘A novel biomechanical approach for animal behaviour recognition using accelerometers‘ taken from the EPFL.

©Arpat Ozgul, University of Zurich

Researchers from EPFL and the University of Zurich have developed a model that uses data from sensors worn by meerkats to gain a more detailed picture of how animals behave in the wild.

Advancement in sensor technologies has meant that field biologists are now collecting a growing mass of ever more precise data on animal behaviour. Yet there is currently no standardised method for determining exactly how to interpret these signals. Take meerkats, for instance. A signal that the animal is active could mean that it is moving; alternatively, it could indicate that it is digging in search of its favourite prey, scorpions. Likewise, an immobile meerkat could be resting – or keeping watch.

In an effort to answer these questions, researchers from EPFL’s School of Engineering Laboratory of Movement Analysis and Measurement (LMAM) teamed up with colleagues from the University of Zurich’s Population Ecology Research Group to develop a behavior recognition model. The research was conducted in affiliation with the Kalahari Research Centre. Continue reading →

New Technologies Could Help Conservationists Keep Better Track of Serengeti Wildebeest Herds

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Below is a press release about the Methods in Ecology and Evolution article ‘A comparison of deep learning and citizen science techniques for counting wildlife in aerial survey images‘ taken from the University of Glasgow.

A wildebeest herd in the Serengeti. ©Daniel Rosengren

A wildebeest herd in the Serengeti. ©Daniel Rosengren

Mathematicians and conservationists from the UK, Africa and the United States have used machine-learning and citizen science techniques to accurately count wildebeest in the Serengeti National Park in Tanzania more rapidly than is possible using traditional methods.

Evaluating wildebeest abundance is currently extremely costly and time-intensive, requiring manual counts of animals in thousands of aerial photographs of their habitats. From those counts, which can take months to complete, wildlife researchers use statistical estimates to determine the size of the population. Detecting changes in the population helps wildlife managers make more informed decisions about how best to keep herds healthy and sustainable. Continue reading →

Field Work on a Shoestring: Using Consumer Technology as an Early Career Researcher

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Post provided by CARLOS A. DE LA ROSA

Esta entrada de blog también está disponible en español

Champagne Tastes on a Beer Budget

Freshly outfitted with a VACAMS camera and GPS unit, #1691 heads off into the forest with her calf. ©Carlos A. de la Rosa

Freshly outfitted with a VACAMS camera and GPS unit, #1691 heads off into the forest with her calf. ©Carlos A. de la Rosa

There’s a frustrating yin and yang to biological research: motivated by curiosity and imagination, we often find ourselves instead defined by limitations. Some of these are fundamental human conditions. The spectrum of light detectable by human eyes, for example, means we can never see a flower the way a bee sees it. Others limitations, like funding and time, are realities of modern-day social and economic systems.

Early career researchers (ECRs) starting new projects and delving into new research systems must be especially creative to overcome the odds. Large grants can be transformative, giving a research group the equipment and resources to complete a study, but they’re tough to get. Inexperienced ECRs are at a disadvantage when competing against battle-hardened investigators with years of grant writing experience. Small grants of up to about $5000 USD, on the other hand, are comparatively easy to find. So, how can ECRs make the most of small, intermittent sources of funding?

I found myself faced with this question in the second year of my PhD field work. Continue reading →

Trabajo de Campo a lo Barato: Uso de Tecnología de Productos de Consumo Para un Investigador al Inicio de su Carrera de Investigación

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Contribución de CARLOS A. DE LA ROSA

This blog post is available in English

Gusto por champaña con presupuesto de cerveza

Recientemente equipada con una unidad de cámara y GPS VACAMS, la vaca No. 1691 se dirige al bosque con su becerro. ©Carlos A. de la Rosa

Recientemente equipada con una unidad de cámara y GPS VACAMS, la vaca No. 1691 se dirige al bosque con su becerro. ©Carlos A. de la Rosa

Hay un frustrante toma-y-dame en el campo de la investigación biológica: motivados por la curiosidad y la imaginación, a menudo nos encontramos definidos por limitaciones. Algunas de estas, como nuestros sentidos, son condiciones humanas fundamentales. El espectro de luz detectable por los ojos humanos, por ejemplo, significa que nunca podremos ver a una flor de la misma forma en que la ve una abeja. Otras limitaciones, como financiamiento y tiempo, representan las realidades de los sistemas sociales y económicos de hoy día.

Los investigadores al comienzo de sus carreras (Early Career Researchers, o ECRs en sus siglas en inglés) que se embarcan en nuevos proyectos y se involucran con sistemas nuevos de investigación deben ser especialmente creativos para poder superar las probabilidades. Una generosa beca puede ser transformativa, pero un ECR con poca experiencia está en desventaja cuando compite con investigadores ya endurecidos por la batalla, quienes tienen años de experiencia escribiendo propuestas de financiamiento. Por otra parte, las pequeñas becas en el rango de $2.000 a $5.000 son comparativamente fáciles de encontrar. ¿Cómo puede un ECR aprovechar al máximo estas pequeñas e intermitentes fuentes de financiamiento?

En el segundo año del trabajo de campo de mi doctorado me enfrenté con este enigma. Continue reading →