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河北省县域农田生态系统供给功能的健康评价 被引量:6

Health status evaluation of the farmland supply function at county level in Hebei Province
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摘要 引入"生态系统服务功能"理论,构建县域农田生态系统供给功能健康评价指标——农田生产力稳定系数,该指标被定义为:一定时期内(若干年),县域自然生态系统第一性生产力波动系数与县域农田生态系统第一性生产力波动系数的平均比值;并构建了评价指标与人类福利指标(用县域人均耕地纯收入表征)关系模型,作为评价指标的阈值判定方法。通过河北省136个县的实证研究表明,农田生产力稳定系数对农田生产力稳定性和农田生产力高低具有综合性指示作用;人类社会对生态系统反馈影响的忍受界限对评价指标阈值的确定非常关键;1991—2000年和2001—2009年两个阶段中,河北省县域农田生产力稳定系数整体呈上升趋势,空间格局较为一致,农田生产力稳定系数较低、农田供给功能健康状况较差的县域集中分布在冀北生态脆弱地区;农田生态系统供给功能健康状况与县域贫困状况形成紧密的空间耦合关系。 An adequate supply of agricultural products is vital for human wellbeing."ecosystem service" theory is used to study the supply function,the dominant function of farmland ecosystems.The concept of health status of the supply function covers the core components of ecosystem health,such as the level of system productivity,the stability and persistence of productivity,and the connection between productivity and human welfare.There is a close connection between the health status evaluation of the farmland supply function described in this paper and land suitability assessment,which is applied widely at home and abroad. We first establish the stability coefficient of farmland productivity(Cs) as a health status evaluation index of the supply function of the farmland ecosystem at the county level.The stability coefficient of farmland productivity was defined as an average ratio between the fluctuation coefficient of net primary productivity in the natural ecosystem and the farmland ecosystem at county level in a certain period.Following this,correlation analyses were carried out between the stability coefficients of farmland productivity and human welfare,which was represented by county-level net income per capita of cultivated land.Finally,a threshold value for a healthy farmland supply function was determined through a correlation analysis of 136 counties. Our results demonstrated that the stability coefficients of farmland productivity could be used to evaluate the county-level health status of supply functions of farmland ecosystems.According to our experience,10 years is the optimal time scale for evaluation.The stability coefficients of farmland productivity were significant for both the stability of farmland productivity and the absolute levels of farmland productivity.The boundaries of human society feedback effects on ecosystems were critical in determining the healthy status threshold.In this paper,if "Cs≥1",with an increase in the stability coefficients,the net income per capita of cultivated land would increase slightly;and if "Cs1",with a reduction in the stability coefficients,the net income per capita of cultivated land would decline sharply.Therefore,"Cs=1"was selected as the threshold value for a healthy farmland supply function. The stability coefficients in both 1991—2000 and 2001—2009 showed an increasing trend and consistent spatial pattern in Hebei Province.The counties with lower stability coefficients of farmland productivity and poor health status of the farmland supply function were concentrated in the ecologically fragile areas of the northern Hebei Province,where many people live in poverty.The counties with higher stability coefficients and a healthy farmland supply function were located in the central and southern Hebei Province,where the land use was rational and most people were wealthy.This suggests that people′s poverty status is spatially related to the health status of the farmland supply function. The results of this study provide important referents for the adjustment of land-use structure,and for eliminating regional poverty in the northern Hebei Province.In the future,we need to investigate how to combine the health status evaluation of the farmland supply function and land suitability assessment.
出处 《生态学报》 CAS CSCD 北大核心 2012年第7期2033-2039,共7页 Acta Ecologica Sinica
基金 国家"十一五"科技支撑计划重点项目(2006BAB15B02-04) 河北省重点应用基础研究计划项目(08966712D) 河北省高校重点学科建设项目联合资助
关键词 农田生产力稳定系数 农田生态系统 供给功能 健康评价 河北省 stability coefficient of farmland productivity farmland ecosystem supply function health status evaluation Hebei Province
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