DOI: 10.5061/dryad.nzs7h452p
title: Data from: Combining spatial, genetic, and environmental risk data to define and prioritize in situ conservation units

description: In situ management aims to preserve species and their genetic integrity
 within their natural habitat. To achieve this, conservation strategies
 must strike a balance between safeguarding genetic diversity, mitigating
 environmental risks, and addressing practical management constraints.
 Here, we present a clear and reproducible framework that addresses these
 goals. We applied this framework to the Nightcap reserves in the Gondwanan
 Rainforests of Australia, a UNESCO World Heritage site impacted by the
 2019/20 Black Summer fires. We analysed the genetic diversity of 12
 rainforest tree species, including three endangered species—Eidothea
 hardeniana, Uromyrtus australis, and Elaeocarpus sedentarius—and examined
 how fire risk, influenced by the presence of fire-dependent species such
 as eucalypts, impacts genetic diversity. To guide specific in situ
 management for the endangered species, we developed a flexible framework
 that uses clustering algorithms (DBSCAN and k-means) to define spatial
 management units while considering resource limitations (e.g., maximum
 perimeter or area). Our framework also incorporates a composite genetic
 value metric (combining Essential Biodiversity Variables heterozygosity,
 allelic richness, and genetic differentiation) and evaluates future fire
 risk based on vegetation flammability. This approach allowed us to
 identify priority management areas while adhering to resource constraints.
 We provide some reproducible examples of how the proposed framework can be
 applied, either partially or fully, to optimize in situ conservation
 efforts. Its flexibility allows for adjustments to fit different habitat
 types, species, and environmental threats, making it a valuable tool for
 enhancing conservation management across diverse conservation contexts.
description: # Combining spatial, genetic, and environmental risk data to define and
 prioritize *in situ* conservation units Dataset DOI:
 [10.5061/dryad.nzs7h452p](10.5061/dryad.nzs7h452p) ## Description of the
 data and file structure This dataset includes DArTseq-derived one-row SNP
 genotype data for three threatened plant species: *Eidothea hardeniana*,
 *Uromyrtus australis*, and *Elaeocarpus sedentarius*. These SNP data
 support population genetic analyses such as diversity, structure, and
 kinship assessments. Due to the conservation status of these species
 (Endangered or Critically Endangered), detailed location metadata for
 individual samples is not publicly provided to protect sensitive
 populations. Further technical information about the data format and
 sequencing methodology is available
 [here](http://georges.biomatix.org/storage/app/media/uploaded-files/tutorial3adartrdatastructuresandinput22-dec-21-2.pdf). ### Files #### File: Report\_DEla23-8678\_SNP\_mapping\_2.csv **Description:** *Elaeocarpus sedentarius* single-row DArT SNP data #### File: Report\_DEido23-8112\_SNP\_mapping\_2.csv **Description:** *Eidothea hardeniana* single-row DArT SNP data #### File: Report\_DUrom19-4339\_SNP\_mapping\_2.csv **Description:** *Uromyrtus australis* single-row DArT SNP data