LandFrag dataset

[Marcelo Lima]

I am very happy to share this paper I collaborated with data from my work on my novel connectivity conservation back in 1997. )See ref for 1999 paper) A new habit loss and fragmentation dataset Synthesis of the Article: “LandFrag: A Dataset to Investigate the Effects of Forest Loss and Fragmentation on Biodiversity” Background & Motivation • The LandFrag dataset was created to address the global issue of forest loss and fragmentation, which threatens biodiversity. • Understanding the effects of habitat loss at both local (fragment size) and landscape scales (forest cover and fragmentation) is crucial for conservation planning. • Existing global datasets on forest fragmentation (e.g., BIOFRAG, PREDICT, FragSAD) have limitations, such as missing species abundance data, fragment sizes, or spatial information. LandFrag aims to overcome these gaps. Dataset Composition • Scope: Includes 1472 forest fragments from 121 studies spanning all continents except Antarctica. • Taxonomic Coverage: Contains data on 9154 species of vertebrates, invertebrates, and plants. • Functional Traits: Provides functional trait data for 2703 species, including morphology, trophic roles, habitat use, and reproductive strategies. • Temporal Range: Data collected between 1994 and 2022. • Spatial Analysis: Landscape metrics were extracted for each site using buffers ranging from 200 to 2000 meters. Data Collection & Methods • The dataset integrates species abundance, functional traits, and 10 landscape metrics, including: • Forest cover percentage • Fragment size and shape • Edge effects • Fragment density and isolation • Contiguity and connectivity indices • Remote Sensing: Uses Google Earth Engine to classify satellite images and estimate forest cover. • Data Sources: Built upon FragSAD, supplemented with additional studies found through literature review and direct author communication. Potential Applications 1. Biodiversity Conservation: Helps assess the effects of forest loss and fragmentation across taxonomic groups and biogeographical regions. 2. Species Sensitivity Studies: Identifies “winner” and “loser” species in fragmented landscapes based on functional traits. 3. Landscape Ecology Research: Evaluates the scale-dependent effects of habitat fragmentation. 4. Ecological Hypothesis Testing: • Habitat Amount Hypothesis: Examines whether biodiversity is more affected by total habitat area or individual fragment size. • Ecosystem Decay Hypothesis: Investigates biodiversity loss under increasing habitat fragmentation. • Extinction Filter Hypothesis: Assesses how species traits mediate survival in fragmented landscapes. Conclusion • The LandFrag dataset is a comprehensive, global resource that advances the study of forest fragmentation and biodiversity loss. • It enables large-scale meta-analyses and provides critical insights for conservation planning and policy. • The dataset is open-access and available for download on Zenodo and GitHub.

Dr Marcelo Gonçalves de Lima

(Views are mine)

Research Fellow - Center for Large Landscape
Cambridge Conservation Forum - Connectivity Conservation Work Group Chair
IUCN - WCPA member/Connectivity Conservation Specialist Group - Brazil and UK Lead
IUCN - CEM member
Biologist, PhD in Ecology

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