Dataset

Islands Covered

Faial, Flores, Graciosa, Pico, São Miguel, Santa Maria, Terceira

Temporal Scope

From June 06, 2012 to June 06, 2022

Publication Date

July 07, 2024

893 Events

14922 Occurrences

Unique Species Recorded

372

Abstract

Since 2012 we are conducting in Azorean Islands (Portugal) native and exotic forests a long-term monitoring study named SLAM - Long Term Ecological Study of the Impacts of Climate Change in the natural forest of Azores. This long-term monitoring study is monitoring arthropods (Arthropoda), aiming to understand the impact of biodiversity erosion drivers in Azorean native forests arthropod distribution, abundance and diversity. The current dataset represents arthropods that were recorded using a total of 42 passive SLAM traps (Sea, Land and Air Malaise) deployed inside native and exotic forest fragments in seven Azorean Islands (Flores, Faial, Pico, Graciosa, Terceira São Miguel and Santa Maria). This manuscript is the fifth data-paper contribution based on data from this long-term project.

Creators

Paulo A. V. Borges
Centre for Ecology, Evolution and Environmental Changes (cE3c)/Azorean Biodiversity Group, CHANGE – Global Change and Sustainability Institute

Sébastien Lhoumeau
Centre for Ecology, Evolution and Environmental Changes (cE3c)/Azorean Biodiversity Group, CHANGE – Global Change and Sustainability Institute

Project Information

SLAM - Long Term Ecological Study of the Impacts of Climate Change in the natural forest of Azores

Project ID: SLAM - Arthropods

Project Abstract

Since 2012 we are conducting in Azorean Islands (Portugal) native and exotic forests a long-term monitoring study named SLAM - Long Term Ecological Study of the Impacts of Climate Change in the natural forest of Azores. This long-term monitoring study is monitoring arthropods (Arthropoda), aiming to understand the impact of biodiversity erosion drivers in Azorean native forests arthropod distribution, abundance and diversity. The current dataset represents arthropods that were recorded using a total of 42 passive SLAM traps (Sea, Land and Air Malaise) deployed inside native and exotic forest fragments in seven Azorean Islands (Flores, Faial, Pico, Graciosa, Terceira São Miguel and Santa Maria). This manuscript is the fifth data-paper contribution based on data from this long-term project