Asko Lõhmus , Raido Kont , Triin Kaasiku , Marko Kohv , Tauri Arumäe , Ants Kaasik
{"title":"用于评估沼泽生境退化和恢复的景观模型 SooSim","authors":"Asko Lõhmus , Raido Kont , Triin Kaasiku , Marko Kohv , Tauri Arumäe , Ants Kaasik","doi":"10.1016/j.ecoinf.2024.102844","DOIUrl":null,"url":null,"abstract":"<div><div>Open mires constitute a characteristic part of boreal natural landscapes, which is under various cumulative anthropogenic pressures. As a response, remaining mires are increasingly protected, and their degradation is addressed by ecological restoration (mostly drainage closure). To evaluate alternative environmental policies, there is a necessity for high-resolution landscape simulation models to assess future dynamics of mires under different management scenarios. We present such a model, <em>SooSim</em>, its R-script, and derivation and validation of its key parameters. <em>SooSim</em> iterates mire types and woody encroachment dynamics within 25 × 25 m grid at 1-year intervals. Management interventions (restoration; ditch renovation) are sequentially introduced based on priority rules in locations delineated prior to simulation. We applied <em>SooSim</em> to three management scenarios, compared with natural succession, until 2050 in Estonia. The ‘current’ (2022) database comprised >3.8 M mire pixels and > 7 M peatland-forest pixels (sparse-cover ones considered for mire restoration). The model parameterization, based on Lidar data, revealed rapid ongoing woody encroachment across all mire types, with significant positive feedback. The simulations revealed that, even in scenarios with intensive restoration (2500 ha annually), open mire conditions are reduced by >10 % until 2050, while few mire types lose >1 % in area. Ditch renovations mostly reduced restoration perspectives in currently forested peatlands. Thus, <em>SooSim</em> explicitly depicts a decision-making dilemma where mire restoration is time-sensitive but also uncertain. To address this and related land-use dilemmas in the environmental policy, landscape models such as <em>SooSim</em> have further importance as visualization tools to explain complex processes to a wide range of stakeholders.</div></div>","PeriodicalId":51024,"journal":{"name":"Ecological Informatics","volume":"83 ","pages":"Article 102844"},"PeriodicalIF":5.8000,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SooSim, a landscape model for assessing mire habitat degradation and restoration\",\"authors\":\"Asko Lõhmus , Raido Kont , Triin Kaasiku , Marko Kohv , Tauri Arumäe , Ants Kaasik\",\"doi\":\"10.1016/j.ecoinf.2024.102844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Open mires constitute a characteristic part of boreal natural landscapes, which is under various cumulative anthropogenic pressures. As a response, remaining mires are increasingly protected, and their degradation is addressed by ecological restoration (mostly drainage closure). To evaluate alternative environmental policies, there is a necessity for high-resolution landscape simulation models to assess future dynamics of mires under different management scenarios. We present such a model, <em>SooSim</em>, its R-script, and derivation and validation of its key parameters. <em>SooSim</em> iterates mire types and woody encroachment dynamics within 25 × 25 m grid at 1-year intervals. Management interventions (restoration; ditch renovation) are sequentially introduced based on priority rules in locations delineated prior to simulation. We applied <em>SooSim</em> to three management scenarios, compared with natural succession, until 2050 in Estonia. The ‘current’ (2022) database comprised >3.8 M mire pixels and > 7 M peatland-forest pixels (sparse-cover ones considered for mire restoration). The model parameterization, based on Lidar data, revealed rapid ongoing woody encroachment across all mire types, with significant positive feedback. The simulations revealed that, even in scenarios with intensive restoration (2500 ha annually), open mire conditions are reduced by >10 % until 2050, while few mire types lose >1 % in area. Ditch renovations mostly reduced restoration perspectives in currently forested peatlands. Thus, <em>SooSim</em> explicitly depicts a decision-making dilemma where mire restoration is time-sensitive but also uncertain. To address this and related land-use dilemmas in the environmental policy, landscape models such as <em>SooSim</em> have further importance as visualization tools to explain complex processes to a wide range of stakeholders.</div></div>\",\"PeriodicalId\":51024,\"journal\":{\"name\":\"Ecological Informatics\",\"volume\":\"83 \",\"pages\":\"Article 102844\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Informatics\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1574954124003868\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Informatics","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574954124003868","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
SooSim, a landscape model for assessing mire habitat degradation and restoration
Open mires constitute a characteristic part of boreal natural landscapes, which is under various cumulative anthropogenic pressures. As a response, remaining mires are increasingly protected, and their degradation is addressed by ecological restoration (mostly drainage closure). To evaluate alternative environmental policies, there is a necessity for high-resolution landscape simulation models to assess future dynamics of mires under different management scenarios. We present such a model, SooSim, its R-script, and derivation and validation of its key parameters. SooSim iterates mire types and woody encroachment dynamics within 25 × 25 m grid at 1-year intervals. Management interventions (restoration; ditch renovation) are sequentially introduced based on priority rules in locations delineated prior to simulation. We applied SooSim to three management scenarios, compared with natural succession, until 2050 in Estonia. The ‘current’ (2022) database comprised >3.8 M mire pixels and > 7 M peatland-forest pixels (sparse-cover ones considered for mire restoration). The model parameterization, based on Lidar data, revealed rapid ongoing woody encroachment across all mire types, with significant positive feedback. The simulations revealed that, even in scenarios with intensive restoration (2500 ha annually), open mire conditions are reduced by >10 % until 2050, while few mire types lose >1 % in area. Ditch renovations mostly reduced restoration perspectives in currently forested peatlands. Thus, SooSim explicitly depicts a decision-making dilemma where mire restoration is time-sensitive but also uncertain. To address this and related land-use dilemmas in the environmental policy, landscape models such as SooSim have further importance as visualization tools to explain complex processes to a wide range of stakeholders.
期刊介绍:
The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.
The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.