Geospatial Data in Landscape Ecology and Biodiversity Conservation: 2nd Edition

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Landscape Ecology".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 612

Special Issue Editor


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Guest Editor
School of Earth and Planetary Sciences, Curtin University, GPO Box U 1987, Perth, WA 6845, Australia
Interests: remote sensing; spatial analysis and modelling; restoration; invasive species; lidar; rangeland ecology; condition monitoring; impact of mining; endemics
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Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue of Land entitled “Geospatial Data in Landscape Ecology and Biodiversity Conservation: 2nd Edition”.

The combination of new or realizable algorithms, better-resolution data, and advances in geographic information systems has been incredibly important to the fields of landscape ecology and biodiversity conservation. Whilst the presentation of geospatial data will always be valuable, it is the ability to interrogate it like never before that has led to an improved understanding and management of issues ranging from species extinction to climate change refugia, habitat mapping, gene flow, turnover, restoration, conservation achievements and return on conservation investment.

The aim of this Special Issue is to highlight the contribution of geospatial data and practitioners to advancing landscape ecology (including landscape genetics) and biodiversity conservation. In turn, this Special Issue aims to improve the synthesis between geospatial analysts, conservationists and ecologists.

Paper submissions need to heavily demonstrate the use of geospatial data to inform landscape ecologists and conservation strategists. Suggested themes are:

  • Gene flow;
  • Weed risk (particularly in conservation-significant locations);
  • Groundwater-dependent ecosystems;
  • Refugia;
  • Fire ecology;
  • Time series analyses;
  • Movement modelling and connectivity.

Dr. Todd Robinson
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • landscape resistance
  • connectivity
  • turnover
  • movement and modelling
  • refugia
  • isolation by distance

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Published Papers (1 paper)

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Research

29 pages, 24123 KiB  
Article
Spatial and Temporal Evolution Assessment of Landscape Ecological Resilience Based on Adaptive Cycling in Changsha–Zhuzhou–Xiangtan Urban Agglomeration, China
by Huaizhen Peng, Huachao Lou, Yifan Liu, Qingying He, Maomao Zhang and Ying Yang
Land 2025, 14(4), 709; https://doi.org/10.3390/land14040709 - 26 Mar 2025
Viewed by 220
Abstract
Urban agglomeration ecosystems are impacted by human activities and natural disasters, so analyzing the spatial and temporal evolution of landscape ecological resilience from the perspective of adaptive cycling is crucial. Using the Changsha–Zhuzhou–Xiangtan urban agglomeration in China as a case study, this research [...] Read more.
Urban agglomeration ecosystems are impacted by human activities and natural disasters, so analyzing the spatial and temporal evolution of landscape ecological resilience from the perspective of adaptive cycling is crucial. Using the Changsha–Zhuzhou–Xiangtan urban agglomeration in China as a case study, this research constructs a “Risk-Potential-Connectivity” framework to evaluate ecological resilience. This framework applies exploratory spatial data analysis methods to examine the spatiotemporal evolution and associated patterns of resilience and the Geodetector model to measure the driving factors of spatial variation. This study constructs an adaptive cycle model based on ecological resilience analysis, integrating potential and connectivity indices to classify the development stages of urban agglomeration regions dynamically. The results showed that the overall spatial distribution pattern of ecological risk decreased from the center outward, whereas ecological potential and connectivity increased. The average resilience index from 2000 to 2020 was 0.31, with a declining trend and shifting center of gravity from northwest to southeast. The spatial and temporal distribution of toughness exhibited high and low aggregation, with an overall Moran index greater than 0.75. Land-use intensity had the strongest explanatory power (q = 0.3662) for the spatial differentiation of landscape ecological resilience drivers and the joint effects of factor interaction had a higher explanatory power than single factors. Adaptive cycle analysis revealed that Furong District is in the protection stage, Xiangtan County in the development stage, and Liling City in the reorganization stage, with no region yet in the release stage. The findings offer a better understanding of the interactive adaptation characteristics and evolutionary patterns of social-ecological systems over extended periods, providing scientific support for the formulation of protection strategies to respond to dynamic changes in urban agglomeration ecosystems. Full article
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