农业工程学报
農業工程學報
농업공정학보
2015年
3期
1-9
,共9页
生态系统%模型%土壤%碳库%碳循环%农田
生態繫統%模型%土壤%碳庫%碳循環%農田
생태계통%모형%토양%탄고%탄순배%농전
ecosystem%model%soils%carbon pool%carbon cycle%agricultural field
农田生态系统是陆地生态系统碳循环过程中最活跃的碳库。研究农田生态系统碳循环,对温室气体减排及研究全球气候的变化都具有极其重要的意义。农田生态系统碳循环研究是一个非常复杂的过程,碳循环模型是研究农田生态系统碳循环最有效的手段。该文综述了农田生态系统碳循环的最新研究进展,总结了农田生态系统碳循环的流动过程,介绍了碳素在不同碳库以及碳库不同组分之间迁移转化的规律,梳理了从1960年至今的农田生态系统碳循环模型并进行了分类,阐述了国际主要模型以及中国自主开发的碳循环模型的应用情况。未来农田生态系统碳循环的研究方向为:1)探索农田生态系统碳循环机制;2)从空间时间上完善对碳循环过程的研究;3)考察氮循环、水循环、微生物与碳循环的关系;4)利用碳循环模型来估算不同的管理实践下碳在不同农田的再分配;5)开发利用碳循环模型,为政府制定相关政策提供相关数据参考。
農田生態繫統是陸地生態繫統碳循環過程中最活躍的碳庫。研究農田生態繫統碳循環,對溫室氣體減排及研究全毬氣候的變化都具有極其重要的意義。農田生態繫統碳循環研究是一箇非常複雜的過程,碳循環模型是研究農田生態繫統碳循環最有效的手段。該文綜述瞭農田生態繫統碳循環的最新研究進展,總結瞭農田生態繫統碳循環的流動過程,介紹瞭碳素在不同碳庫以及碳庫不同組分之間遷移轉化的規律,梳理瞭從1960年至今的農田生態繫統碳循環模型併進行瞭分類,闡述瞭國際主要模型以及中國自主開髮的碳循環模型的應用情況。未來農田生態繫統碳循環的研究方嚮為:1)探索農田生態繫統碳循環機製;2)從空間時間上完善對碳循環過程的研究;3)攷察氮循環、水循環、微生物與碳循環的關繫;4)利用碳循環模型來估算不同的管理實踐下碳在不同農田的再分配;5)開髮利用碳循環模型,為政府製定相關政策提供相關數據參攷。
농전생태계통시륙지생태계통탄순배과정중최활약적탄고。연구농전생태계통탄순배,대온실기체감배급연구전구기후적변화도구유겁기중요적의의。농전생태계통탄순배연구시일개비상복잡적과정,탄순배모형시연구농전생태계통탄순배최유효적수단。해문종술료농전생태계통탄순배적최신연구진전,총결료농전생태계통탄순배적류동과정,개소료탄소재불동탄고이급탄고불동조분지간천이전화적규률,소리료종1960년지금적농전생태계통탄순배모형병진행료분류,천술료국제주요모형이급중국자주개발적탄순배모형적응용정황。미래농전생태계통탄순배적연구방향위:1)탐색농전생태계통탄순배궤제;2)종공간시간상완선대탄순배과정적연구;3)고찰담순배、수순배、미생물여탄순배적관계;4)이용탄순배모형래고산불동적관리실천하탄재불동농전적재분배;5)개발이용탄순배모형,위정부제정상관정책제공상관수거삼고。
Agro-ecosystem, as the most active and controllable carbon pool in terrestrial ecosystem carbon cycle, can lead to substantial changes in the atmospheric CO2 concentration, thus affecting remarkably the global climate. The carbon cycle in agro-ecosystem is a complex process, which is influenced by factors such as climate, plants, soil properties and farm management. It is recognized that a model approach has an advantage in estimating spatiotemporal changes in carbon storage. Carbon cycle models are considered to be the most effective means to study carbon cycle. This paper emphasized on the carbon cycle process of agro-ecosystem, introduced the transference and the mechanism of carbon cycle between different carbon pools, identified characteristics of different models in association with carbon cycle of agro-ecosystem from 1960s, summarized and analyzed the application of international carbon models and others invented and developed in China in the agro-ecosystem. During these years, several models, such as RothC, CENTURY, DNDC, EPIC and APSIM have been widely used to estimate carbon changes at national or global scales. These models provide understanding of carbon flow through food webs and explore the role of carbon storage in the whole agro-ecosystem. They also allow analysis of environmental risks and provide a guide to know more about the relationship among carbon, nitrogen and water cycle. More recently, some new carbon models have been developed in China for simulating the carbon budget of agro-ecosystems. For example, the Agro-C can simulate crop net primary production via Crop-C sub model and changes in soil organic carbon via Soil-C sub model under various conditions of climate, soil, and agricultural practices, which makes it possible to extrapolate the model to a wider domain. Validation of the Soil-C sub model suggested that an inappropriate simplification of the carbon flow between various C pools may introduce errors into the estimates. Carbon loss in croplands was a very important issue for Chinese agro-ecosystems, and there was still a great potential for substantially improving carbon status by adopting proper farming practices and land-use pattern. This review has drawn together various perspectives on some of the key issues that should be addressed in order to keep more carbon and enhance soil productivity of croplands. In particular: 1) the mechanism of carbon cycle should be explored to model changes in carbon for the whole agro-ecosystem; 2) the study spatiotemporal changes of the carbon cycle should be investigated further; 3) the relationship among the nitrogen cycle, the water cycle, microbial and the carbon cycle should be made clear; 4) to use carbon cycle model to account for a range of different management practices and the redistribution of carbon; and 5) to investigate potential effects of different management practices on the carbon distribution for the government to formulate relevant policies.