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#macroecology

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▶️▶️𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐌𝐚𝐜𝐫𝐨𝐞𝐜𝐨𝐥𝐨𝐠𝐲 & 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜𝐬 𝟐𝐲𝐫 𝐏𝐨𝐬𝐭𝐝𝐨𝐜 𝐨𝐟𝐟𝐞𝐫 𝐰𝐢𝐭𝐡 𝐦𝐞!!! in Leipzig @iDiv !!!◀️◀️

uni-leipzig.b-ite.careers/jobposting/9...

▶️Interested to have an impact on a huge conservation issue, bird srikes on glass structures?◀️ APPLY!




What determines the plant species along elevational gradients?

In this latest study, we explored the direct, indirect and interaction effects of environmental variables.🧵

doi.org/10.1186/s13717-024-005

SpringerOpenDeterminants of plant species richness along elevational gradients: insights with climate, energy and water–energy dynamics - Ecological ProcessesBackground Understanding the patterns and processes of species distributions has long remained a central focus of biogeographical and ecological research. While the evidence for elevational patterns in species richness is widespread, our understanding of underlying causes and mechanisms remains limited. Therefore, this study aimed to entangle the influence of environmental variables on plant species richness along elevational gradients in the Western Himalayas. Methods We compiled elevational distribution for about 1150 vascular plants using the published literature and available database. The species richness was estimated in 100-m elevational bands using the range interpolation method. We used the generalised linear model and structural equation modelling (SEM) framework to identify the direct and indirect effects of climatic factors on species richness. Results Our results indicated that primary environmental correlates of species richness varied with elevational gradients. Climatic variables combined with energy and water availability were more important than the topographic heterogeneity. Further, the direct and interaction effects of climatic variables were more substantial than their indirect effects. The indirect effects of climate are more strongly mediated by water–energy dynamics than the energy alone. Conclusions Overall, our findings emphasise the importance of considering direct effects and interactions among environmental variables while studying the underlying mechanisms governing elevational biodiversity gradients. Species richness appeared to be shaped by climatic tolerances rather than habitat heterogeneity at regional scales. This information can have implications for biodiversity dynamics under environmental change.

For anyone who needs a #mondayLidarTip:

Points loaded into numpy arrays by LASpy can be fed directly into PDAL pipelines and processes - the structured points array just works.

Once the loading into memory part is done, do PDAL things, do LASpy things, whatever.

LASpy is sometimes usefully less strict about LAS standards, PDAL has superb built in filters for stuff.

By our powers combined!

Continued thread

...continuing a little - finding trees in drone data, no AI needed.

Because we have OK-ish representation of what is below canopy, it's possible to try and count things like trees.

A whole bunch of things later, here's a visualisation showing an orange dot for almost every tree.

What's going on with the obvious tree that wasn't picked? Just filtering decisions - if you expect research level rigor from a shakedown flight, #hireme.

I'm leaving my senior research position at the University of Bern in March. I'm focusing on my consulting. I'm currently open to new environmental #datascience and #editorialservices #freelance work with a focus on #remotesensing, #macroecology, #ecosystems modelling and/or #foodsecurity.

I'm also open to remote work in a fixed-term contract setting up to 50% FTE (EU fiscal basis).

Check bluegreenlabs.org for past experiences and projects. Please boost.

BlueGreen LabsBlueGreen LabsBlueGreen Labs, environmental data science solutions for a greener planet

Here's an interesting preprint on #EcoEvoRxiv (not yet peer reviewed). Its authors use eBird's massive citizen science database to reassess a long held pattern in macroecology, the abundance-occupancy relationship. That says that more widespread species (those with larger ranges) are also typically more abundant, on average. Yet, looking at this big bird dataset, it looks like this is not true. Which is interesting!

#macroecology #ecology #eBird #CitizenScience #science

ecoevorxiv.org/repository/view

ecoevorxiv.orgAn illusion of a macroecological law, abundance-occupancy relationships

The global relationship between potential treeline elevation and temperature is well studied and understood. In our study, conducted together with @severin_irl and @BayreuthBiogeo@twitter.com (nitter.net/BayreuthBiogeo), we investigated the additional effects of mass elevation, continentality and isolation on a global scale. Find out more in the open publication: doi.org/10.1111/geb.13689

#treeline #macroecology #biogeography #GEB #GlobalEcologyAndBiogeography

Picture caption: Realized treeline at the Canary Island La Palma, somewhere South of Piedra Llana, Eastern border of the Caldera de Taburiente National Park.