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高自然价值农田识别及空间分布格局研究

方一舒 艾东 羊玉婷 孙玮健 戴瑶

方一舒, 艾东, 羊玉婷, 孙玮健, 戴瑶. 高自然价值农田识别及空间分布格局研究−以云南省为例[J]. 中国生态农业学报 (中英文), 2022, 30(3): 441−450 doi: 10.12357/cjea.20210501
引用本文: 方一舒, 艾东, 羊玉婷, 孙玮健, 戴瑶. 高自然价值农田识别及空间分布格局研究−以云南省为例[J]. 中国生态农业学报 (中英文), 2022, 30(3): 441−450 doi: 10.12357/cjea.20210501
FANG Y S, AI D, YANG Y T, SUN W J, DAI Y. Identification of high natural-value farmland and its spatial distribution pattern: Taking Yunnan Province as an example[J]. Chinese Journal of Eco-Agriculture, 2022, 30(3): 441−450 doi: 10.12357/cjea.20210501
Citation: FANG Y S, AI D, YANG Y T, SUN W J, DAI Y. Identification of high natural-value farmland and its spatial distribution pattern: Taking Yunnan Province as an example[J]. Chinese Journal of Eco-Agriculture, 2022, 30(3): 441−450 doi: 10.12357/cjea.20210501

高自然价值农田识别及空间分布格局研究以云南省为例

doi: 10.12357/cjea.20210501
基金项目: 国家科技支撑计划项目(2015BAD06B00)资助
详细信息
    通讯作者:

    艾东, 主要研究方向为国土空间规划和农业空间保护。E-mail: aidong@cau.edu.cn方一舒, 主要研究方向为国土空间规划和农业生态系统保护。E-mail: aidong@cau.edu.cn

  • 中图分类号: X176

Identification of high natural-value farmland and its spatial distribution pattern: Taking Yunnan Province as an example

Funds: This study was supported by the National Key Technologies R & D Program of China (2015BAD06B00)
More Information
  • 摘要: 中国耕地保护面临巨大挑战, 耕地数量质量管控是保护的基本前提; 同时为促进中国农业可持续发展, 需要增强农业生态系统韧性, 因此在自然价值视角下, 探索高自然价值农田识别与空间分布具有重要意义。本文借鉴国内外学者对农田保护的研究, 引出“高自然价值农田”的概念, 探索“高自然价值农田”对中国农田生态系统建设的作用。并以云南省为实例, 采用ArcGIS和InVEST模型进行定量分析,作为探索中国西南地区高自然价值农田的识别方法。利用2009年、2012年、2015年和2018年4期土地利用现状数据, 计算各年份的农田生境质量, 研究各年份高自然价值农田空间分布格局变化情况。主要得到以下结论: 1)依据现有文献, 总结高自然价值农田主要分为以下3种类型: ①半自然植被比例较高的农田; ②以低强度农业为主的农田或小规模半自然的农田镶嵌体; ③维持稀有物种生存的农田。2)依据评价结果, 从时间格局来看, 高自然价值农田所占比例年度变化不大, 平均为10.86%, 以毗邻林地、水域的破碎化的小图斑为主。3)从空间格局来看, 云南省农田自然价值等级整体处于较低等级, 高自然价值农田所占比例较低, 分布于滇西北和滇东北部分地区, 斑块相对比较细碎, 零散分布于集中连片的农田周边; 而较低自然价值的农田所占比例最大, 广泛分布于云南省范围内, 其生产价值较高。最后从自然资源、农田生态系统生物多样性保护和农业文化遗产保护的视角进行分析, 提出分区分级进行农田保护与退耕还林政策, 实现“共治共建, 同管同护”的保护理念。
  • 图  1  研究区域

    Figure  1.  Study area

    图  2  2009—2018年云南省土地利用变化

    Figure  2.  Changes of land use types from 2009 to 2018 in Yunnan Province

    图  3  2009—2018年云南省农田生境质量等级空间分布变化

    高、较高、中、较低和低生境质量耕地的生境质量值分别为0.8~1.0、0.6~0.8、0.4~0.6、0.2~0.4和0~0.2。The values of high, relatively high, medium, relatively low and low farmland habitat quality are 0.8−1.0, 0.6−0.8, 0.4−0.6, 0.2−0.4 and 0−0.2.

    Figure  3.  Changes in spatial distribution of different grades of habitat quality of farmland from 2009 to 2018 in Yunnan Province

    图  4  2009—2018年云南省高自然价值农田分布图

    高、较高、中、较低和低生境质量耕地的生境质量值分别为0.8~1.0、0.6~0.8、0.4~0.6、0.2~0.4和0~0.2。The values of high, relatively high, medium, relatively low and low farmland habitat quality are 0.8−1.0, 0.6−0.8, 0.4−0.6, 0.2−0.4 and 0−0.2.

    Figure  4.  Distribution map of high natural value farmland from 2009 to 2018 in Yunnan Province

    表  1  InVEST模型中威胁源相关参数设置

    Table  1.   Setting of threat sources related parameters in InVEST model

    威胁源
    Threat source
    最大威胁距离
    Maximum threat distance (km)
    权重
    Weight
    衰减类型
    Decline type
    水田 Paddy field 5 0.7 指数型 Exponential
    旱地 Dry land 10 0.8 指数型 Exponential
    交通用地 Traffic land 8 0.6 指数型 Exponential
    城镇用地 Urban land 15 1.0 线型 Linear
    村庄 Village 10 0.9 线型 Linear
    采矿用地 Mining land 8 1.0 线型 Linear
    裸地 Bare land 3 0.1 指数型 Exponential
    下载: 导出CSV

    表  2  生境适宜性和相关敏感性参数设置

    Table  2.   Setting of habitat suitability and related sensitivity parameters

    代码
    Code
    土地利用类型
    Land use type
    生境适宜性
    Habitat suitability
    水田
    Paddy field
    旱地
    Dry land
    交通用地
    Traffic land
    城镇用地
    Urban land
    村庄
    Village
    采矿用地
    Mining land
    1 水田 Paddy field 0.3 0 0.3 0.2 0.2 0.2 0.2
    2 旱地 Dry land 0.4 0.1 0 0.35 0.3 0.3 0.2
    3 园地 Garden 0.35 0.1 0.1 0.3 0.2 0.15 0.2
    4 林地 Forest 1.0 0.8 0.7 0.5 0.5 0.4 0.4
    5 草地 Grass land 0.7 0.6 0.5 0.3 0.3 0.2 0.2
    6 交通用地 Traffic land 0 0 0 0 0 0 0
    7 水利设施用地 Water facilities land 0.75 0.3 0.5 0.6 0.9 0.8 0.7
    8 城镇用地 Urban land 0 0 0 0 0 0 0
    9 村庄 Village 0 0 0 0 0 0 0
    10 采矿用地 Mining land 0 0 0 0 0 0 0
    11 裸地 Bare land 0.05 0.1 0.05 0.01 0.01 0.01 0.01
    12 其他用地 Others 0.01 0.01 0.01 0 0 0 0
    下载: 导出CSV

    表  3  2009—2018年云南省不同等级生境质量所占比例

    Table  3.   Proportions of different grades of habitat quality from 2009 to 2018 in Yunnan Province % 

    年份
    Year

    High
    较高
    Relatively high

    Medium
    较低
    Relatively low

    Low
    200960.639.130.7424.954.55
    201260.669.150.7025.074.43
    201560.509.100.7024.904.81
    201860.539.160.6624.944.71
      高、较高、中、较低和低生境质量耕地的生境质量值分别为0.8~1.0、0.6~0.8、0.4~0.6、0.2~0.4和0~0.2。
    The values of high, relatively high, medium, relatively low and low farmland habitat quality are 0.8−1.0, 0.6−0.8, 0.4−0.6, 0.2−0.4 and 0−0.2.
    下载: 导出CSV

    表  4  2009—2018年云南省高自然价值农田所占比例

    Table  4.   Proportion of high natural value farmland from 2009 to 2018 in Yunnan Province % 

    年份
    Year

    High
    较高
    Relatively high

    Medium
    较低
    Relatively low

    Low
    2009 10.89 1.98 2.92 82.30 1.91
    2012 10.80 2.01 2.75 82.54 1.90
    2015 10.87 1.97 2.75 82.34 2.07
    2018 10.89 1.98 2.61 82.54 1.99
      高、 较高、 中、 较低和低生境质量耕地的生境质量值分别为0.8~1.0、 0.6~0.8、 0.4~0.6、 0.2~0.4和0~0.2。 The values of high, relatively high, medium, relatively low and low habitat quality farmland are 0.8−1.0, 0.6−0.8, 0.4−0.6, 0.2−0.4 and 0−0.2.
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-07-30
  • 录用日期:  2021-11-28
  • 网络出版日期:  2021-12-09
  • 刊出日期:  2022-03-07

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