{"title":"土壤深度:高山生态系统生产力的不同驱动因素","authors":"Shanshan Qi, Gangsheng Wang, Wanyu Li, Daifeng Xiang, Shuhao Zhou, Zehao Lv","doi":"10.1111/geb.70071","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aim</h3>\n \n <p>Deep soils (> 30 cm) store considerable amounts of carbon and are often assumed to be less responsive to warming than topsoil. However, recent evidence indicates that deep soils are more sensitive to climate change in alpine grasslands, yet their influence on ecosystem productivity is not well understood. Here, we tested the key environmental drivers, particularly the roles of deep soil moisture and temperature, of alpine ecosystem productivity across different vegetation types and plant growth constraints.</p>\n </section>\n \n <section>\n \n <h3> Location</h3>\n \n <p>The Qinghai-Tibetan Plateau (QTP), the Earth's Third Pole.</p>\n </section>\n \n <section>\n \n <h3> Time Period</h3>\n \n <p>2003–2021.</p>\n </section>\n \n <section>\n \n <h3> Major Taxa Studied</h3>\n \n <p>Sedge, grass and forbs.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We introduced the plant growth limitation index (GLI) to classify alpine sites as either energy- or water-limited sites, using solar radiation and soil moisture as proxies for energy and water availability. We employed the random forest models to quantify dominant environmental drivers of gross primary productivity (GPP) and net ecosystem productivity (NEP) at 14 alpine sites across four vegetation types (alpine meadow, steppe, wetland and shrub) on the QTP.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>We identified divergent drivers of ecosystem productivity varying with soil depth and GLI classifications. In water-limited sites, productivity was more responsive to soil variables than to radiation, with deep soil temperature and moisture exerting greater influence than their surface counterparts. In contrast, energy-limited sites were primarily driven by topsoil temperature and radiation, with deep soil moisture remaining more influential than topsoil moisture. In alpine wetlands, deep soil temperature emerged as the dominant driver.</p>\n </section>\n \n <section>\n \n <h3> Main Conclusions</h3>\n \n <p>We advance the concept of plant growth constraints by introducing deep soil moisture as a key regulator, demonstrating its direct controls on alpine vegetation productivity. Our findings challenge previous studies that focused solely on topsoil, offering new insights into the interactions between productivity and environmental drivers in alpine ecosystems. This improved understanding supports more accurate projections of carbon sequestration under global change.</p>\n </section>\n </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"34 6","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Soil Depth Matters: Divergent Drivers of Ecosystem Productivity in Alpine Ecosystems\",\"authors\":\"Shanshan Qi, Gangsheng Wang, Wanyu Li, Daifeng Xiang, Shuhao Zhou, Zehao Lv\",\"doi\":\"10.1111/geb.70071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aim</h3>\\n \\n <p>Deep soils (> 30 cm) store considerable amounts of carbon and are often assumed to be less responsive to warming than topsoil. However, recent evidence indicates that deep soils are more sensitive to climate change in alpine grasslands, yet their influence on ecosystem productivity is not well understood. Here, we tested the key environmental drivers, particularly the roles of deep soil moisture and temperature, of alpine ecosystem productivity across different vegetation types and plant growth constraints.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Location</h3>\\n \\n <p>The Qinghai-Tibetan Plateau (QTP), the Earth's Third Pole.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Time Period</h3>\\n \\n <p>2003–2021.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Major Taxa Studied</h3>\\n \\n <p>Sedge, grass and forbs.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We introduced the plant growth limitation index (GLI) to classify alpine sites as either energy- or water-limited sites, using solar radiation and soil moisture as proxies for energy and water availability. We employed the random forest models to quantify dominant environmental drivers of gross primary productivity (GPP) and net ecosystem productivity (NEP) at 14 alpine sites across four vegetation types (alpine meadow, steppe, wetland and shrub) on the QTP.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>We identified divergent drivers of ecosystem productivity varying with soil depth and GLI classifications. In water-limited sites, productivity was more responsive to soil variables than to radiation, with deep soil temperature and moisture exerting greater influence than their surface counterparts. In contrast, energy-limited sites were primarily driven by topsoil temperature and radiation, with deep soil moisture remaining more influential than topsoil moisture. In alpine wetlands, deep soil temperature emerged as the dominant driver.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Main Conclusions</h3>\\n \\n <p>We advance the concept of plant growth constraints by introducing deep soil moisture as a key regulator, demonstrating its direct controls on alpine vegetation productivity. Our findings challenge previous studies that focused solely on topsoil, offering new insights into the interactions between productivity and environmental drivers in alpine ecosystems. This improved understanding supports more accurate projections of carbon sequestration under global change.</p>\\n </section>\\n </div>\",\"PeriodicalId\":176,\"journal\":{\"name\":\"Global Ecology and Biogeography\",\"volume\":\"34 6\",\"pages\":\"\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Ecology and Biogeography\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/geb.70071\",\"RegionNum\":1,\"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":"Global Ecology and Biogeography","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/geb.70071","RegionNum":1,"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}
Soil Depth Matters: Divergent Drivers of Ecosystem Productivity in Alpine Ecosystems
Aim
Deep soils (> 30 cm) store considerable amounts of carbon and are often assumed to be less responsive to warming than topsoil. However, recent evidence indicates that deep soils are more sensitive to climate change in alpine grasslands, yet their influence on ecosystem productivity is not well understood. Here, we tested the key environmental drivers, particularly the roles of deep soil moisture and temperature, of alpine ecosystem productivity across different vegetation types and plant growth constraints.
Location
The Qinghai-Tibetan Plateau (QTP), the Earth's Third Pole.
Time Period
2003–2021.
Major Taxa Studied
Sedge, grass and forbs.
Methods
We introduced the plant growth limitation index (GLI) to classify alpine sites as either energy- or water-limited sites, using solar radiation and soil moisture as proxies for energy and water availability. We employed the random forest models to quantify dominant environmental drivers of gross primary productivity (GPP) and net ecosystem productivity (NEP) at 14 alpine sites across four vegetation types (alpine meadow, steppe, wetland and shrub) on the QTP.
Results
We identified divergent drivers of ecosystem productivity varying with soil depth and GLI classifications. In water-limited sites, productivity was more responsive to soil variables than to radiation, with deep soil temperature and moisture exerting greater influence than their surface counterparts. In contrast, energy-limited sites were primarily driven by topsoil temperature and radiation, with deep soil moisture remaining more influential than topsoil moisture. In alpine wetlands, deep soil temperature emerged as the dominant driver.
Main Conclusions
We advance the concept of plant growth constraints by introducing deep soil moisture as a key regulator, demonstrating its direct controls on alpine vegetation productivity. Our findings challenge previous studies that focused solely on topsoil, offering new insights into the interactions between productivity and environmental drivers in alpine ecosystems. This improved understanding supports more accurate projections of carbon sequestration under global change.
期刊介绍:
Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.