Molly-Mae Baker , Anna K. Cresswell , James P. Gilmour , Michael Renton
{"title":"模拟生物和环境因素对精细尺度珊瑚沉降模式的相互影响","authors":"Molly-Mae Baker , Anna K. Cresswell , James P. Gilmour , Michael Renton","doi":"10.1016/j.ecolmodel.2025.111037","DOIUrl":null,"url":null,"abstract":"<div><div>For sessile organisms with dispersive propagules, the habitat in which propagules settle plays a key role in determining post-settlement survival, which is fundamental for the maintenance and recovery of populations. Corals provide an interesting example, as an array of bio-physical settlement cues, along with other environmental conditions such as current flow and habitat distribution, can influence where larvae settle. The ways in which these processes interact to influence spatial patterns of coral settlement remain largely unexplored, due to the difficulty in directly observing and measuring the dispersal and settlement of tiny (≤ 1 mm) larvae <em>in-situ</em>. To help address this knowledge gap, we developed a mechanistic simulation model to explore how three overarching factors — (1) the attractiveness of reef substrates, (2) local hydrodynamics and (3) the spatial distribution of reef substrates — might interact to influence fine-scale (centimetres to metres) spatial patterns of settlement. Through scenario exploration, we found that interactions among these three factors can lead to contrasting, and sometimes counterintuitive, spatial patterns of settlement. By simulating common field survey methods (settlement tiles and quadrat sampling) we show that interactions among biological and environmental factors could lead to incorrect conclusions, regarding, for example, the substrates larvae prefer for settlement. Lastly, with a case study from Ningaloo Reef, Western Australia, we illustrate how the model can help explore mechanisms underlying patterns of settlement within complex benthic landscapes and highlight key gaps in knowledge for future empirical research. Our results have implications for understanding and sampling spatial recruitment patterns in not only corals, but any organism with both dispersing and sessile life stages.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"502 ","pages":"Article 111037"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling interactive effects of biological and environmental factors on fine-scale coral settlement patterns\",\"authors\":\"Molly-Mae Baker , Anna K. Cresswell , James P. Gilmour , Michael Renton\",\"doi\":\"10.1016/j.ecolmodel.2025.111037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>For sessile organisms with dispersive propagules, the habitat in which propagules settle plays a key role in determining post-settlement survival, which is fundamental for the maintenance and recovery of populations. Corals provide an interesting example, as an array of bio-physical settlement cues, along with other environmental conditions such as current flow and habitat distribution, can influence where larvae settle. The ways in which these processes interact to influence spatial patterns of coral settlement remain largely unexplored, due to the difficulty in directly observing and measuring the dispersal and settlement of tiny (≤ 1 mm) larvae <em>in-situ</em>. To help address this knowledge gap, we developed a mechanistic simulation model to explore how three overarching factors — (1) the attractiveness of reef substrates, (2) local hydrodynamics and (3) the spatial distribution of reef substrates — might interact to influence fine-scale (centimetres to metres) spatial patterns of settlement. Through scenario exploration, we found that interactions among these three factors can lead to contrasting, and sometimes counterintuitive, spatial patterns of settlement. By simulating common field survey methods (settlement tiles and quadrat sampling) we show that interactions among biological and environmental factors could lead to incorrect conclusions, regarding, for example, the substrates larvae prefer for settlement. Lastly, with a case study from Ningaloo Reef, Western Australia, we illustrate how the model can help explore mechanisms underlying patterns of settlement within complex benthic landscapes and highlight key gaps in knowledge for future empirical research. Our results have implications for understanding and sampling spatial recruitment patterns in not only corals, but any organism with both dispersing and sessile life stages.</div></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"502 \",\"pages\":\"Article 111037\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380025000237\",\"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 Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380025000237","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}
Modelling interactive effects of biological and environmental factors on fine-scale coral settlement patterns
For sessile organisms with dispersive propagules, the habitat in which propagules settle plays a key role in determining post-settlement survival, which is fundamental for the maintenance and recovery of populations. Corals provide an interesting example, as an array of bio-physical settlement cues, along with other environmental conditions such as current flow and habitat distribution, can influence where larvae settle. The ways in which these processes interact to influence spatial patterns of coral settlement remain largely unexplored, due to the difficulty in directly observing and measuring the dispersal and settlement of tiny (≤ 1 mm) larvae in-situ. To help address this knowledge gap, we developed a mechanistic simulation model to explore how three overarching factors — (1) the attractiveness of reef substrates, (2) local hydrodynamics and (3) the spatial distribution of reef substrates — might interact to influence fine-scale (centimetres to metres) spatial patterns of settlement. Through scenario exploration, we found that interactions among these three factors can lead to contrasting, and sometimes counterintuitive, spatial patterns of settlement. By simulating common field survey methods (settlement tiles and quadrat sampling) we show that interactions among biological and environmental factors could lead to incorrect conclusions, regarding, for example, the substrates larvae prefer for settlement. Lastly, with a case study from Ningaloo Reef, Western Australia, we illustrate how the model can help explore mechanisms underlying patterns of settlement within complex benthic landscapes and highlight key gaps in knowledge for future empirical research. Our results have implications for understanding and sampling spatial recruitment patterns in not only corals, but any organism with both dispersing and sessile life stages.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).