Monitoring Ecosystem Services and Biodiversity under Land Use Change

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

Deadline for manuscript submissions: 2 October 2024 | Viewed by 987

Special Issue Editors


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Guest Editor
Centre for Ecology and Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK
Interests: Analysing large-scale; long-term monitoring data (plant species, habitats and traits) to deAnalysing large-scale; long-term monitoring data (plant species, habitats, and traits) to detect changes in ecosystems and to attribute changes to drivers; atmospheric deposition and land-use change; Invasive species (including tree diseases); Natural capital; Tropical forest ecology

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Guest Editor
Lancaster Environment Centre, Lancaster, UK
Interests: landscape ecology; land cover; vegetation; geography; ecological survey; ecological data

Special Issue Information

Dear Colleagues,

Land-use and land-cover (LULC) change causes biodiversity decline through the loss, alteration, and fragmentation of habitats, processes which also affect ecosystem services. There are uncertainties regarding how LULC will change in the future, and what the effect of such a change will be on biodiversity and ecosystem services. Research on these two aspects has been fruitful, yet there are still some questions that have not been clarified.

The goal of this Special Issue is to publish papers (original research articles and review papers) that provide insights into ecosystem services and biodiversity under land-use and land-cover change. Specifically, the scope of this Special Issue includes, but is not limited to the:

  • Effects of land-use change and biodiversity loss on ecosystem functions;
  • Metrics/methods for quantifying biodiversity or ecosystem services under land-use change;
  • Theoretical and practical research based on land-use and land-cover change and their impact on ecosystems;
  • Landscape fragmentation, connectivity, and their impact on ecological processes;
  • Sustainable utilization of biodiversity and ecosystem services;
  • The relationship between ecosystem services and biodiversity and human well-being;
  • Mapping biodiversity or ecosystem services, numeric models for biodiversity, or ecosystem service changes.

We look forward to receiving your original research articles and reviews.

Dr. Lindsay Claire Maskell
Dr. Claire Wood
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • land-use and land-cover (LULC) change
  • biodiversity
  • ecology
  • protected areas
  • landscape connectivity
  • green space
  • invasive species
  • ecosystem services, ecosystem disservices, and well-being

Published Papers (1 paper)

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Research

20 pages, 15633 KiB  
Article
Spatio-Temporal Fluctuation Analysis of Ecosystem Service Values in Northeast China over Long Time Series: Based on Bayesian Hierarchical Modeling
by Jianxiang Song, Jiafu Liu, Xinyue Zhang, Xin Chen, Yingtao Shang and Fengjie Gao
Land 2024, 13(6), 833; https://doi.org/10.3390/land13060833 - 12 Jun 2024
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Abstract
Ecosystems are undergoing continuous degradation due to the dual perturbation of global climate change and human activities, posing unprecedented threats and challenges to the ecosystem services they provide. To gain a deeper understanding of the spatio-temporal evolution of ecosystem service value (ESV), it [...] Read more.
Ecosystems are undergoing continuous degradation due to the dual perturbation of global climate change and human activities, posing unprecedented threats and challenges to the ecosystem services they provide. To gain a deeper understanding of the spatio-temporal evolution of ecosystem service value (ESV), it is essential to accurately capture the characteristics of its spatial and temporal changes and its influencing factors. However, traditional spatio-temporal statistical methods are limited to analyzing the heterogeneity of ESV in a single temporal or spatial dimension, which fails to meet the comprehensive analysis needs for spatio-temporal heterogeneity over an extended continuum. Therefore, this paper constructs a Bayesian spatio-temporal hierarchical model to analyze the ESV heterogeneity in both temporal and spatial dimensions in Northeast China from 2000 to 2020 to accurately identify the regions with unstable fluctuations in ESV and analyze the influencing factors behind them. It aims to comprehensively and systematically reveal the intrinsic laws of spatio-temporal evolution of ESV, and provide a scientific basis for relevant decision-making. The study found a continuous fluctuating downward trend of ESV in Northeast China from 2000 to 2020, with significant spatial and temporal heterogeneity. Notably, the distribution of hot and cold spots is regularly concentrated, especially in the transition zone from low hills to plains, which forms an “unstable zone” of spatial and temporal fluctuations of ESV. Natural factors such as NDVI and NPP exhibit a significant positive correlation with ESV, while social factors like population density and GDP show a strong negative correlation. Compared to traditional statistical methods, the Bayesian spatio-temporal hierarchical model, with its outstanding flexibility and accuracy, provides a new perspective and way of thinking for analyzing classical spatio-temporal problems. Firstly, the model examines time and space as a whole and fully accounts for the influence of spatio-temporal interactions on ESV. Secondly, the Bayesian spatio-temporal hierarchical model meets the needs of long-term continuous ESV outcome detection, which provides us with solid support for a deeper understanding of the evolution of ESV. Full article
(This article belongs to the Special Issue Monitoring Ecosystem Services and Biodiversity under Land Use Change)
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