{"title":"物种相互作用的地理梯度:从纬度模式到生态机制","authors":"Anna L. Hargreaves","doi":"10.1146/annurev-ecolsys-110421-102810","DOIUrl":null,"url":null,"abstract":"The idea that species interactions are more ecologically and evolutionarily important toward lower latitudes underpins seminal theories in ecology and evolution. Recent global studies have found the predicted latitudinal gradients in interactions, particularly predation. However, latitudinal patterns alone do not reveal why interactions vary geographically and so do not provide strong predictions in space (e.g., for specific ecosystems) or time (e.g., forecasting responses to global change). Here, I review theory to identify a clearer, mechanistic, and testable framework for predicting geographic variation in the importance of species interactions. I review competing metrics of importance, proximate mechanisms that can increase interaction importance, and environmental gradients that could generate predictable geographic patterns (climate extremes and stability, warmth, productivity, and biodiversity). Strong empirical tests are accumulating thanks to the rise of global experiments and datasets; renewed focus on testing why interactions vary spatially will help move the field from identifying latitudinal patterns to understanding broader mechanisms.","PeriodicalId":7988,"journal":{"name":"Annual Review of Ecology, Evolution, and Systematics","volume":"1 1","pages":""},"PeriodicalIF":11.2000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geographic Gradients in Species Interactions: From Latitudinal Patterns to Ecological Mechanisms\",\"authors\":\"Anna L. Hargreaves\",\"doi\":\"10.1146/annurev-ecolsys-110421-102810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The idea that species interactions are more ecologically and evolutionarily important toward lower latitudes underpins seminal theories in ecology and evolution. Recent global studies have found the predicted latitudinal gradients in interactions, particularly predation. However, latitudinal patterns alone do not reveal why interactions vary geographically and so do not provide strong predictions in space (e.g., for specific ecosystems) or time (e.g., forecasting responses to global change). Here, I review theory to identify a clearer, mechanistic, and testable framework for predicting geographic variation in the importance of species interactions. I review competing metrics of importance, proximate mechanisms that can increase interaction importance, and environmental gradients that could generate predictable geographic patterns (climate extremes and stability, warmth, productivity, and biodiversity). Strong empirical tests are accumulating thanks to the rise of global experiments and datasets; renewed focus on testing why interactions vary spatially will help move the field from identifying latitudinal patterns to understanding broader mechanisms.\",\"PeriodicalId\":7988,\"journal\":{\"name\":\"Annual Review of Ecology, Evolution, and Systematics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":11.2000,\"publicationDate\":\"2024-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Review of Ecology, Evolution, and Systematics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-ecolsys-110421-102810\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Ecology, Evolution, and Systematics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1146/annurev-ecolsys-110421-102810","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
Geographic Gradients in Species Interactions: From Latitudinal Patterns to Ecological Mechanisms
The idea that species interactions are more ecologically and evolutionarily important toward lower latitudes underpins seminal theories in ecology and evolution. Recent global studies have found the predicted latitudinal gradients in interactions, particularly predation. However, latitudinal patterns alone do not reveal why interactions vary geographically and so do not provide strong predictions in space (e.g., for specific ecosystems) or time (e.g., forecasting responses to global change). Here, I review theory to identify a clearer, mechanistic, and testable framework for predicting geographic variation in the importance of species interactions. I review competing metrics of importance, proximate mechanisms that can increase interaction importance, and environmental gradients that could generate predictable geographic patterns (climate extremes and stability, warmth, productivity, and biodiversity). Strong empirical tests are accumulating thanks to the rise of global experiments and datasets; renewed focus on testing why interactions vary spatially will help move the field from identifying latitudinal patterns to understanding broader mechanisms.
期刊介绍:
The Annual Review of Ecology, Evolution, and Systematics is a scholarly publication that has been in circulation since 1970. It focuses on important advancements in the areas of ecology, evolutionary biology, and systematics, with relevance to all forms of life on Earth. The journal features essay reviews that encompass various topics such as phylogeny, speciation, molecular evolution, behavior, evolutionary physiology, population dynamics, ecosystem processes, and applications in invasion biology, conservation, and environmental management. Recently, the current volume of the journal transitioned from a subscription-based model to open access through the Annual Reviews' Subscribe to Open program. Consequently, all articles published in the current volume are now available under a CC BY license.