{"title":"地中海岛屿景观生态完整性评估的快速定性方法","authors":"P. Manolaki , S. Chourabi , I.N. Vogiatzakis","doi":"10.1016/j.ecocom.2021.100921","DOIUrl":null,"url":null,"abstract":"<div><p><span>Rapid qualitative field methods can be used to evaluate ecological integrity (EI) at a landscape level. This study evaluates the EI of 63 landscape types (LCTs) in Cyprus derived from Landscape Character Mapping. Following a stratified sampling, LCTs were evaluated using 209 Land Description Units (LDUs) i.e., homogeneous map entities, sharing a similar pattern of natural and cultural elements. In every LDU, six ecological integrity (EI) indicators were visually assessed consistently namely naturalness, habitat continuity, number of habitats, dominant habitat type, management intensity and scale. TwoStep Cluster Analysis was employed to identify EI categories, and Categorical Principal Components Analysis (CATPCA) to associate the individual indicators with overall EI in the LDUs. Linear regressions were used to predict EI based on the most important indicators. Forested and shrubland landscapes have consistently good EI with low variation, while urbanized and </span>agricultural landscapes have lower EI. There is great variation in the number of agricultural landscape types and their EI. There are significant linear relationships between EI and naturalness, habitat continuity and intensity. The novelty of this work lies with the fact that it provides the first island-wide study in the Mediterranean assessing EI spatially through a small number of indicators. Results indicate that LCA can be an appropriate consistent and inexpensive spatial framework for assessing EI, which can be directly associated with management intervention to maintain or improve EI.</p></div>","PeriodicalId":50559,"journal":{"name":"Ecological Complexity","volume":"46 ","pages":"Article 100921"},"PeriodicalIF":3.1000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ecocom.2021.100921","citationCount":"4","resultStr":"{\"title\":\"A rapid qualitative methodology for ecological integrity assessment across a Mediterranean island's landscapes\",\"authors\":\"P. Manolaki , S. Chourabi , I.N. Vogiatzakis\",\"doi\":\"10.1016/j.ecocom.2021.100921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>Rapid qualitative field methods can be used to evaluate ecological integrity (EI) at a landscape level. This study evaluates the EI of 63 landscape types (LCTs) in Cyprus derived from Landscape Character Mapping. Following a stratified sampling, LCTs were evaluated using 209 Land Description Units (LDUs) i.e., homogeneous map entities, sharing a similar pattern of natural and cultural elements. In every LDU, six ecological integrity (EI) indicators were visually assessed consistently namely naturalness, habitat continuity, number of habitats, dominant habitat type, management intensity and scale. TwoStep Cluster Analysis was employed to identify EI categories, and Categorical Principal Components Analysis (CATPCA) to associate the individual indicators with overall EI in the LDUs. Linear regressions were used to predict EI based on the most important indicators. Forested and shrubland landscapes have consistently good EI with low variation, while urbanized and </span>agricultural landscapes have lower EI. There is great variation in the number of agricultural landscape types and their EI. There are significant linear relationships between EI and naturalness, habitat continuity and intensity. The novelty of this work lies with the fact that it provides the first island-wide study in the Mediterranean assessing EI spatially through a small number of indicators. Results indicate that LCA can be an appropriate consistent and inexpensive spatial framework for assessing EI, which can be directly associated with management intervention to maintain or improve EI.</p></div>\",\"PeriodicalId\":50559,\"journal\":{\"name\":\"Ecological Complexity\",\"volume\":\"46 \",\"pages\":\"Article 100921\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2021-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.ecocom.2021.100921\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Complexity\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1476945X21000143\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Complexity","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476945X21000143","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
A rapid qualitative methodology for ecological integrity assessment across a Mediterranean island's landscapes
Rapid qualitative field methods can be used to evaluate ecological integrity (EI) at a landscape level. This study evaluates the EI of 63 landscape types (LCTs) in Cyprus derived from Landscape Character Mapping. Following a stratified sampling, LCTs were evaluated using 209 Land Description Units (LDUs) i.e., homogeneous map entities, sharing a similar pattern of natural and cultural elements. In every LDU, six ecological integrity (EI) indicators were visually assessed consistently namely naturalness, habitat continuity, number of habitats, dominant habitat type, management intensity and scale. TwoStep Cluster Analysis was employed to identify EI categories, and Categorical Principal Components Analysis (CATPCA) to associate the individual indicators with overall EI in the LDUs. Linear regressions were used to predict EI based on the most important indicators. Forested and shrubland landscapes have consistently good EI with low variation, while urbanized and agricultural landscapes have lower EI. There is great variation in the number of agricultural landscape types and their EI. There are significant linear relationships between EI and naturalness, habitat continuity and intensity. The novelty of this work lies with the fact that it provides the first island-wide study in the Mediterranean assessing EI spatially through a small number of indicators. Results indicate that LCA can be an appropriate consistent and inexpensive spatial framework for assessing EI, which can be directly associated with management intervention to maintain or improve EI.
期刊介绍:
Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales.
Ecological Complexity will publish research into the following areas:
• All aspects of biocomplexity in the environment and theoretical ecology
• Ecosystems and biospheres as complex adaptive systems
• Self-organization of spatially extended ecosystems
• Emergent properties and structures of complex ecosystems
• Ecological pattern formation in space and time
• The role of biophysical constraints and evolutionary attractors on species assemblages
• Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory
• Ecological topology and networks
• Studies towards an ecology of complex systems
• Complex systems approaches for the study of dynamic human-environment interactions
• Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change
• New tools and methods for studying ecological complexity