Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Thoraco-Lumbar Intervertebral Disc Disease in Domestic Feline - Case Report

A Doença do Disco Intervertebral (DDIV) tóraco-lombar ocorre frequentemente em cães, sobretudo de raças condrodistróficas. Os gatos, no entanto, raramente apresentam sinais clínicos da doença, sendo pouco corriqueiro o atendimento da afecção, e consequentemente, os relatos e trabalhos científicos sobre DDIV para a espécie. O presente artigo refere-se a um caso clínico de felino doméstico com sinais clínicos neuro-ortopédicos de discopatia. Ressalta-se a importância de um bom plano de exame clínico e da utilização de técnicas radiográficas simples e contrastadas, uma vez que estas ferramentas são certamente mais acessíveis à maioria dos médicos veterinários do que tomografia computadorizada e ressonância magnética, por exemplo.Thoraco-lumbar intervertebral disc disease occurs frequently in dogs, especially in chondrodystrophic breeds. Cats, however, rarely have clinical signs of the disease, being not common the service of this affection, and consequently, reports and scientific works about thoraco-lumbar intervertebral disc disease in the species. The present article refers to a clinical case of a domestic feline with clinical signs of neuro-orthopedic disc disease. The importance of a good plan of clinical examination and the use of simple and contrasted radiographic techniques is emphasized, once that these tools are certainly more accessible to the majority of the veterinarians than computed tomography and magnetic resonance, for example