生物多样性 ›› 2017, Vol. 25 ›› Issue (9): 999-1007. DOI: 10.17520/biods.2017086
收稿日期:
2017-03-20
接受日期:
2017-05-17
出版日期:
2017-09-20
发布日期:
2017-10-04
通讯作者:
王伟
作者简介:
# 共同第一作者
基金资助:
Bing Chen, Fangzheng Liu, Yubo Zhang, Jinhong Du, Wei Wang*(), Junsheng Li
Received:
2017-03-20
Accepted:
2017-05-17
Online:
2017-09-20
Published:
2017-10-04
Contact:
Wang Wei
About author:
# Co-first authors
摘要:
对自然保护区的定期评估有助于提升其管理和保护水平。本研究以苍山自然保护区所在的大理市、洱源县、漾濞县3个市/县作为子研究区域, 构建了基于倾向评分配比(propensity score matching)和配对t检验(paired-samples t-test)的保护成效评估技术方案。选取海拔、坡度、与最近居民点的距离、与最近道路的距离4个因子作为环境变量, 通过对每个县单独进行分析, 分别对比了自然保护区晋升国家级时(1995年)与20年后(2015年)其森林覆盖面积的变化, 以此来评估苍山自然保护区的森林保护成效, 并对各环境变量与森林覆盖变化值的关系进行了偏相关分析(partial correlation analysis)。结果表明: 大理市境内苍山自然保护区内的森林覆盖变化值显著高于保护区外部, 且该区段的森林覆盖率最高。洱源县境内苍山自然保护区内、外的森林覆盖变化率均高于其他2个市/县, 且保护区内、外森林覆盖变化值差异不显著。漾濞县境内苍山自然保护区内、外森林覆盖变化率最低, 但其保护区外0-10 km区域的森林覆盖变化值显著高于10 km以外区域, 保护区的存在对其周边0-10 km区域产生了正面的溢出效应 (neighborhood leakage)。海拔、坡度、与最近居民点的距离、与最近道路的距离4个协变量在3个市/县的不同研究区段内均与森林覆盖变化值呈现出了不同程度的相关性。本研究所采用的倾向评分配比法和按照行政区划对自然保护区分区进行评估的方法, 为自然保护区整体保护成效的评价提供了新的技术思路。
陈冰, 刘方正, 张玉波, 杜金鸿, 王伟, 李俊生 (2017) 基于倾向评分配比法评估苍山自然保护区的森林保护成效. 生物多样性, 25, 999-1007. DOI: 10.17520/biods.2017086.
Bing Chen, Fangzheng Liu, Yubo Zhang, Jinhong Du, Wei Wang, Junsheng Li (2017) Assessment of forest conservation in the Cangshan Nature Reserve based on propensity score matching. Biodiversity Science, 25, 999-1007. DOI: 10.17520/biods.2017086.
子研究区域 Sub-study area | 1995 | 2015 | 森林覆盖变化值 Forest coverage change (km2) | 森林变化率 Forest change rate | |||
---|---|---|---|---|---|---|---|
森林面积 Forest area (km2) | 森林覆盖率 Forest coverage | 森林面积 Forest area (km2) | 森林覆盖率 Forest coverage | ||||
大理市 Dali City | 保护区内 Inside | 166.15 | 78.74% | 168.24 | 79.73% | 2.09 | 1.26% |
保护区外 Outside | 284.05 | 28.61% | 320.33 | 32.26% | 36.28 | 12.77% | |
洱源县 Eryuan County | 保护区内 Inside | 32.73 | 71.15% | 34.43 | 74.85% | 1.700 | 5.19% |
保护区外 Outside | 1004.14 | 38.86% | 1151.36 | 44.56% | 147.22 | 14.66% | |
漾濞县 Yangbi County | 保护区内 Inside | 117.26 | 80.32% | 113.98 | 78.07% | -3.28 | -2.80% |
保护区外 Outside | 740.91 | 49.26% | 776.95 | 51.66% | 36.04 | 4.86% |
表1 1995-2015年间大理市、洱源县和漾濞县苍山自然保护区内、外森林覆盖总体情况
Table 1 Overall condition of forest coverage inside and outside of Cangshan Nature Reserve in Dali City, Eryuan County and Yangbi County during 1995-2015
子研究区域 Sub-study area | 1995 | 2015 | 森林覆盖变化值 Forest coverage change (km2) | 森林变化率 Forest change rate | |||
---|---|---|---|---|---|---|---|
森林面积 Forest area (km2) | 森林覆盖率 Forest coverage | 森林面积 Forest area (km2) | 森林覆盖率 Forest coverage | ||||
大理市 Dali City | 保护区内 Inside | 166.15 | 78.74% | 168.24 | 79.73% | 2.09 | 1.26% |
保护区外 Outside | 284.05 | 28.61% | 320.33 | 32.26% | 36.28 | 12.77% | |
洱源县 Eryuan County | 保护区内 Inside | 32.73 | 71.15% | 34.43 | 74.85% | 1.700 | 5.19% |
保护区外 Outside | 1004.14 | 38.86% | 1151.36 | 44.56% | 147.22 | 14.66% | |
漾濞县 Yangbi County | 保护区内 Inside | 117.26 | 80.32% | 113.98 | 78.07% | -3.28 | -2.80% |
保护区外 Outside | 740.91 | 49.26% | 776.95 | 51.66% | 36.04 | 4.86% |
研究区段 Survey region | 匹配前 Before matching | 匹配成功 Matched | 未匹配成功 Unmatched | |||
---|---|---|---|---|---|---|
对照组 Control | 处理组 Treated | 对照组 Control | 处理组 Treated | 对照组 Control | 处理组 Treated | |
DA_DB | 336 | 211 | 26 | 26 | 310 | 185 |
DA_DC | 465 | 211 | 36 | 36 | 429 | 175 |
DB_DC | 465 | 336 | 232 | 232 | 233 | 104 |
EA_EB | 428 | 46 | 40 | 40 | 388 | 6 |
EA_EC | 2,050 | 46 | 45 | 45 | 2,005 | 1 |
EB_EC | 2,050 | 428 | 414 | 414 | 1,636 | 14 |
YA_YB | 352 | 146 | 16 | 16 | 336 | 130 |
YA_YC | 1,152 | 146 | 34 | 34 | 1,118 | 112 |
YB_YC | 1152 | 352 | 338 | 338 | 814 | 14 |
表2 大理市(D)、洱源县(E)、漾濞县(Y) 3个研究区段间的倾向评分配比结果。A指保护区内; B指保护区外0-10 km; C指保护区10 km以外。表中数值为样本数, 即网格数。
Table 2 Result of propensity score matching of three survey regions in Dali City (D), Eryuan County (E) and Yangbi County (Y). A refers to areas inside Cangshan Nature Reserve; B refers to areas within 10 km outside of Cangshan Nature Reserve; C refers to areas beyond 10 km from Cangshan Nature Reserve. Numbers in the table are sample values, which refers to the number of grids.
研究区段 Survey region | 匹配前 Before matching | 匹配成功 Matched | 未匹配成功 Unmatched | |||
---|---|---|---|---|---|---|
对照组 Control | 处理组 Treated | 对照组 Control | 处理组 Treated | 对照组 Control | 处理组 Treated | |
DA_DB | 336 | 211 | 26 | 26 | 310 | 185 |
DA_DC | 465 | 211 | 36 | 36 | 429 | 175 |
DB_DC | 465 | 336 | 232 | 232 | 233 | 104 |
EA_EB | 428 | 46 | 40 | 40 | 388 | 6 |
EA_EC | 2,050 | 46 | 45 | 45 | 2,005 | 1 |
EB_EC | 2,050 | 428 | 414 | 414 | 1,636 | 14 |
YA_YB | 352 | 146 | 16 | 16 | 336 | 130 |
YA_YC | 1,152 | 146 | 34 | 34 | 1,118 | 112 |
YB_YC | 1152 | 352 | 338 | 338 | 814 | 14 |
图2 大理市(D)、洱源县(E)、漾濞县(Y)各研究区段1995-2015年森林覆盖变化均值对比(平均值 ± SD)。A指保护区内; B指保护区外0-10 km; C指保护区10 km以外。
Fig. 2 Comparison of forest coverage change during 1995-2015 inside Cangshan Nature Reserve among three survey regions in Dali City (D), Eryuan County (E) and Yangbi County (Y) (mean ± SD). A refers to areas inside Cangshan Nature Reserve; B refers to areas within 10 km outside of Cangshan Nature Reserve; C refers to areas beyond 10km from Cangshan Nature Reserve.
DA_DB | DA_DC | DB_DC | EA_EB | EA_EC | EB_EC | YA_YB | YA_YC | YB_YC | |
---|---|---|---|---|---|---|---|---|---|
t | 3.553 | 3.187 | 0.535 | 0.246 | -1.359 | -1.943 | -0.970 | 0.283 | 2.772 |
df | 25 | 35 | 231 | 39 | 44 | 413 | 15 | 33 | 337 |
P | 0.002* | 0.003* | 0.593 | 0.807 | 0.181 | 0.053 | 0.347 | 0.779 | 0.006* |
表3 大理市(D)、洱源县(E)和漾濞县(Y)各研究区段1995-2015年间森林覆盖变化值配对t检验结果。A指保护区内; B指保护区外0-10 km; C指保护区10 km以外。
Table 3 Results of paired-samples t-test of forest coverage change during 1995-2015 among three survey regions in Dali City (D), Eryuan County (E) and Yangbi County (Y). A refers to areas inside Cangshan Nature Reserve; B refers to areas within 10 km outside of Cangshan Nature Reserve; C refers to areas beyond 10 km from Cangshan Nature Reserve.
DA_DB | DA_DC | DB_DC | EA_EB | EA_EC | EB_EC | YA_YB | YA_YC | YB_YC | |
---|---|---|---|---|---|---|---|---|---|
t | 3.553 | 3.187 | 0.535 | 0.246 | -1.359 | -1.943 | -0.970 | 0.283 | 2.772 |
df | 25 | 35 | 231 | 39 | 44 | 413 | 15 | 33 | 337 |
P | 0.002* | 0.003* | 0.593 | 0.807 | 0.181 | 0.053 | 0.347 | 0.779 | 0.006* |
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