松嫩鹤乡国家公园创建潜力区土地生境质量演化及多情景预测

doi:10.11707/j.1001-7488.LYKX20250184

Abstract

Abstract:

Objective: The aim of this paper was to construct a comprehensive analysis framework based on multi-source remotely sensed data, land use change simulation, and ecological assessment models to systematically analyze the spatiotemporal evolution characteristics and future development trends of land habitat quality in the potential area of the proposed Songnen Plain Crane Homeland National Park, providing scientific support for spatial optimization and ecological management of the national park. Method: To explore the impact of land use change on habitat quality, this study was conducted based on land use change data from 1990 to 2020 in the potential area of the proposed Songnen Plain Crane Homeland National Park. Four future scenarios were set: natural development, urban development, cropland protection, and ecological protection. The PLUS model was used to simulate the land use pattern in 2035, and the InVEST model was applied to assess habitat quality. Furthermore, the evolution trends and main driving factors of habitat quality under historical periods and future scenarios were analyzed. Result: The research results show that core ecological habitat and suitable ecological habitat are mainly distributed in forest, grassland, and wetland, while the habitat quality of cropland and construction land is relatively low. From 1990 to 2020, the land use structure in the study area underwent significant changes, with continuous expansion of cropland and construction land, whose area proportions increased by 4.37% and 8.31% respectively. Meanwhile, the areas of forest, grassland, and wetland decreased, with area proportions reduced by 1.67%, 2.13%, and 0.62%, respectively. The habitat quality index declined by 0.03, the area of high-quality habitat decreased by 3.61%, and habitat fragmentation intensified. The future scenario simulation results from 2020 to 2035 indicate significant differences in the impact of different land use policies on habitat quality: under the natural development scenario, habitat quality shows a trend of polarization, with core ecological habitat and damaged ecological area increasing by 0.03% and 0.97% respectively, while the areas of other habitats decrease by 0.05%~0.14%; the urban development scenario leads to intensified ecological degradation, with damaged ecological area increasing by 0.04% and unsuitable habitat increasing by 1.29%; the cropland protection scenario can maintain the stability of core ecological habitat to a certain extent, but its effect on improving overall habitat quality is limited; the ecological protection scenario is help to improve the habitat quality, with the areas of core ecological habitat and suitable ecological habitat increasing by 0.03% and 0.97% respectively. The response of habitat quality to different land use types presented nonlinear characteristics: forest, grassland, and wetlands significantly enhance habitat quality, while cropland, water area, construction land, and bare land have negative effects on habitat quality. Conclusion: From 1990 to 2020, the land use change lead to the degradation of ecological lands and the decline of habitat quality in the potential area of the proposed Songnen Plain Crane Homeland National Park. From 2020 to 2035, compared with the scenarios of natural development, urban development and cropland protection, the ecological protection scenario exhibits the most positive trend of ecological restoration, effectively improving habitat quality and reducing damaged ecological area. This study highlights the profound impact of land use structure adjustments on ecosystem functions, which is of great guiding significance for the ecological background investigation, boundary scope and functional area demarcation of the proposed national park.

Key words: land use, habitat quality, scenario modelling, national park, Songnen Plain Crane Homeland

CLC Number:

S719
X321

Sisi Yu,Shangshu Cai,Shengrui Zhang,Jiacheng Huang,Kun Jin. Evolution and Multi-Scenario Prediction of Land Habitat Quality in the Potential Area of the Proposed Songnen Plain Crane Homeland National Park[J]. Scientia Silvae Sinicae, 2025, 61(7): 208-219.

Figures/Tables 9

Table 1

Table 2

Future scenario description and parameter setting"

项目Item	自然发展 Natural development	城镇发展 Urban development	耕地保护 Cropland protection	生态保护 Ecological protection
描述 Description	重视历史发展规律，保持历史演变趋势：基于2005—2020年土地利用演变规律，假设未来15年土地利用发展不受干扰，预测2035年土地利用情况 Emphasizing the laws of historical development and maintaining the trend of historical evolution: based on the law of land use evolution from 2005 to 2020， it is assumed that land use development will not be disturbed in the next 15 years， and the land use situation in 2035 is predicted	重视城镇发展，加大对城镇建设的投入：耕、林、草地向建设用地转移的概率增加20%，建设用地向其他地类（耕地除外）转移的概率降低30% Emphasizing urban development and increasing investment in urban construction: the probability of cropland， forest， and grassland being converted to construction land increases by 20%， and the probability of construction land being converted to other land types （excluding cropland） decreases by 30%	以保障国家18亿亩耕地红线为导向，防止城镇建设和生态保护措施占用耕地：在自然发展的基础上，耕地向建设用地转移的概率降低60% Taking the protection of the national 1.8 billion mu of cropland red line as the orientation， and preventing the occupation of cropland by urban construction and ecological protection measures: on the basis of natural development， the probability of cropland being converted to construction land decreases by 60%	保护生态系统，促进人与自然和谐共生：林、草地向建设用地转移的概率降低50%，耕地向建设用地转移的概率降低30%，耕地向林地转移的概率提高30% Protecting the ecosystem and promoting harmonious coexistence between humans and nature: the probability of forest and grassland being converted to construction land decreases by 50%， the probability of cropland being converted to construction land decreases by 30%， and the probability of cropland being converted to forest increases by 30%
转移矩阵 Transition matrix	$ \left\|\begin{array}{c}1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\end{array}\right\| $	$ \left\|\begin{array}{c}1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 0 0 0 0 1 0 0\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\end{array}\right\| $	$ \left\|\begin{array}{c}1 0 0 0 0 0 0\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\end{array}\right\| $	$ \left\|\begin{array}{c}1 1 1 1 1 1 1\\ 0 1 0 0 0 0 0\\ 0 0 1 0 0 0 0\\ 0 0 0 1 0 0 0\\ 1 1 1 1 1 1 1\\ 1 1 1 1 1 1 1\\ 0 0 0 0 0 0 1\end{array}\right\| $
邻域权重 Neighborhood weight	耕地Cropland 0.329，林地Forest 0.180，草地Grassland 0.164，水域Water area 0.049，建设用地Construction land 0.117，裸地Bare land 0.059，湿地Wetland 0.102

Table 2

Table 3

Table 4

Table 5

Table 6

Table 7

Fig.1

Fig.2

References 0

	黄晗雯, 刘　洋, 陈君帜, 等. 拟建松嫩鹤乡国家公园范围划定方法探讨. 风景园林, 2022, 29 (7): 26- 29.
	Huang H W, Liu Y, Chen J Z, et al. Discussion on scope demarcation methods for the proposed Songnen Plain Crane Homeland National Park. Landscape Architecture, 2022, 29 (7): 26- 29.
	匡文慧, 张树文, 杜国明, 等. 2015—2020年中国土地利用变化遥感制图及时空特征分析. 地理学报, 2022, 77 (5): 1056- 1071. doi: 10.11821/dlxb202205002
	Kuang W H, Zhang S W, Du G M, et al. Remotely sensed mapping and analysis of spatio-temporal patterns of land use change across China in 2015—2020. Acta Geographica Sinica, 2022, 77 (5): 1056- 1071. doi: 10.11821/dlxb202205002
	李玉恒, 赵　宁, 张　云, 等. 2025. 东北黑土区土地生境质量演化及多情景预测: 以黑龙江省为例. 环境科学, 1−21. https://doi.org/10.13227/j.hjkx.202409094.
	Li Y H, Zhao Y, Zhang Y, et al. 2025. Evolution in land-habitat in black soil area of Northeast China and Multi-scenario forecasting: the study of Heilongjiang Province. Environmental Science, 1−21. https://doi.org/10.13227/j.hjkx.202409094.［in Chinese］
	刘晓菡, 乔秀娟. 大熊猫国家公园秦岭片区生境质量时空变化特征研究. 西北林学院学报, 2024, 39 (3): 179- 188. doi: 10.3969/j.issn.1001-7461.2024.03.23
	Liu X H, Qiao X J. Spatio-temporal variation of habitat quality of the Giant Panda National Park in the Qinling Area, China. Journal of Northwest Forestry University, 2024, 39 (3): 179- 188. doi: 10.3969/j.issn.1001-7461.2024.03.23
	刘晓辉, 姜　明, 吕宪国, 等. 拟建松嫩鹤乡国家公园范围划定与管理的思考. 国家公园(中英文), 2023, 1 (2): 110- 115.
	Liu X H, Jiang M, Lü X G, et al. Pondering on scope and management of the proposed Songnen Plain Crane Homeland National Park. National Park, 2023, 1 (2): 110- 115.
	孙乔昀, 鲍梦涵, 黄晗雯, 等. 拟建松嫩平原国家公园边界划定研究. 北京林业大学学报, 2022, 44 (1): 103- 112. doi: 10.12171/j.1000-1522.20210418
	Sun Q Y, Bao M H, Huang H W, et al. Boundary delimitation of the proposed Songnen Plain National Park of northeastern China. Journal of Beijing Forestry University, 2022, 44 (1): 103- 112. doi: 10.12171/j.1000-1522.20210418
	唐小平, 欧阳志云, 蒋亚芳, 等. 中国国家公园空间布局研究. 国家公园(中英文), 2023, 1 (1): 1- 10.
	Tang X P, Ouyang Z Y, Jiang Y F, et al. Spatial planning of national parks in China. National Park, 2023, 1 (1): 1- 10.
	魏天宇. 松嫩平原湿地水资源初探及建议. 水利科技与经济, 2004, 10 (6): 352- 353. doi: 10.3969/j.issn.1006-7175.2004.06.015
	Wei T Y. Preliminary study and suggestion on water resources in Songnen Plain wetland. Water Conservancy Science and Technology and Economy, 2004, 10 (6): 352- 353. doi: 10.3969/j.issn.1006-7175.2004.06.015
	吴林霖, 王思远, 杨瑞霞, 等. 斯里兰卡亚洲象栖息地生境质量时空变化及分异特征. 遥感学报, 2021, 25 (12): 2472- 2487. doi: 10.11834/j.issn.1007-4619.2021.12.ygxb202112012
	Wu L L, Wang S Y, Yang R X, et al. Spatio-temporal patterns and differentiations of habitat quality for Asian elephant (Elephas maximus) habitat of Sri Lanka. National Remote Sensing Bulletin, 2021, 25 (12): 2472- 2487. doi: 10.11834/j.issn.1007-4619.2021.12.ygxb202112012
	杨　永, 李瑞红, 刘　航, 等. 东北农林交错区生境质量时空演变及归因分析. 生态学杂志, 2024, 43 (5): 1399- 1407.
	Yang Y, Li R H, Liu H, et al. Spatiotemporal evolution and driving forces of habitat quality in agroforestry ecotone of Northeast China. Chinese Journal of Ecology, 2024, 43 (5): 1399- 1407.
	杨晓英, 马旭燕, 张富玲, 等. 基于InVEST模型的三江源国家公园黄河源园区生境质量时空变化分析. 河南城建学院学报, 2025, 34 (1): 98- 106.
	Yang X Y, Ma X Y, Zhang F L, et al. Analysis of temporal and spatial changes in habitat quality in the Yellow River Source Area of Sangjiangyuan National Park based on the InVEST model. Journal of Henan University of Urban Construction, 2025, 34 (1): 98- 106.
	禹丝思, 孙中昶, 郭华东, 等. 海上丝绸之路超大城市空间扩展遥感监测与分析. 遥感学报, 2017, 21 (2): 169- 181. doi: 10.11834/jrs.20176031
	Yu S S, Sun Z C, Guo H D, et al. Monitoring and analyzing the spatial dynamics and patterns of megacities along the Maritime Silk Road. Journal of Remote Sensing, 2017, 21 (2): 169- 181. doi: 10.11834/jrs.20176031
	岳文泽, 夏皓轩, 吴　桐, 等. 浙江省生境质量时空演变与生态红线评估. 生态学报, 2022, 42 (15): 6406- 6417.
	Yue W Z, Xia H X, Wu T, et al. Spatio-temporal evolution of habitat quality and ecological red line assessment in Zhejiang Province. Acta Ecologica Sinica, 2022, 42 (15): 6406- 6417.
	钟林生, 徐琳琳, 迟　磊. 中国国家公园生态旅游定位与发展路径. 国家公园(中英文), 2024, 2 (11): 723- 731.
	Zhong L S, Xu L L, Chi L. The positioning and development pathways of ecotourism in China’s national parks. National Park, 2024, 2 (11): 723- 731.
	Huang J, Yu S, Githaiga K B, et al. Integrating seasonal variation into conservation planning can provide extra benefits: s case study in the Tana River Basin, Kenya. Ecological Indicators, 2025, 173, 113392. doi: 10.1016/j.ecolind.2025.113392
	Huang Y, Wu J. Spatial and temporal driving mechanisms of ecosystem service trade-off/synergy in national key urban agglomerations: a case study of the Yangtze River Delta urban agglomeration in China. Ecological Indicators, 2023, 154, 110800. doi: 10.1016/j.ecolind.2023.110800
	Kang X, Du M, Zhao L, et al. Integrity-centered framework for determining protected areas boundary: an application in the China’s national park. Ecological Informatics, 2024, 84, 102885. doi: 10.1016/j.ecoinf.2024.102885
	Li C, Connor T, Bai W, et al. Dynamics of the giant panda habitat suitability in response to changing anthropogenic disturbance in the Liangshan Mountains. Biological Conservation, 2019, 237, 445- 455. doi: 10.1016/j.biocon.2019.07.018
	Liang X, Guan Q F, Clarke K C, et al. Mixed-cell cellular automata: a new approach for simulating the spatio-temporal dynamics of mixed land use structures. Landscape and Urban Planning, 2021, 205, 103960. doi: 10.1016/j.landurbplan.2020.103960
	Ma B, Zeng W, Xie Y, et al. Boundary delineation and grading functional zoning of Sangjiangyuan National Park based on biodiversity importance evaluations. Science of the Total Environment, 2022, 825, 154068. doi: 10.1016/j.scitotenv.2022.154068
	Mu H, Li X, Wen Y, et al. 2022. A global record of annual terrestrial human footprint dataset from 2000 to 2018. Scientific Data, 9: 176.
	Sui L, Yan Z, Li K, et al. Prediction of ecological security network in Northeast China based on landscape ecological risk. Ecological Indicators, 2024, 160, 111783. doi: 10.1016/j.ecolind.2024.111783
	Tang F, Fu M, Wang L, et al. Land-use change in Changli County, China: predicting its spatio-temporal evolution in habitat quality. Ecological Indicators, 2020, 117, 106719. doi: 10.1016/j.ecolind.2020.106719
	Tang J, Zhou L, Dang X, et al. , 2023 Impacts and predictions of urban expansion on habitat quality in the densely populated areas: a case study of the Yellow River Basin, China. Ecological Indicators, 151: 110320.
	Wang H, Zhang C, Yao X, et al. Scenario simulation of the tradeoff between ecological and farmland in black soil region of Northeast China. Land Use Policy, 2022, 114, 105991. doi: 10.1016/j.landusepol.2022.105991
	Wang L, Jia D. Spatiotemporal analysis of habitat quality and driving factors in the middle reaches of the Yellow River Basin. Environmental Monitoring and Assessment, 2025, 197 (4): 386. doi: 10.1007/s10661-025-13828-7
	Xu W, Pimm S L, Du A, et al. Transforming protected area management in China. Trends in Ecology & Evolution, 2019, 34 (9): 762- 766.

类别 Category	名称 Name	年份 Year	来源 Source
土地 Land	土地利用类型 Land use type	1990、2005、2020	资源环境科学数据平台 Resource and Environmental Science Data Platform（https://www.resdc.cn/）

土壤 Soil	砂粒含量 Sand content	2009	联合国粮食及农业组织 Food and Agriculture Organization of the United Nations（http://www.fao.org/）
	粉粒含量 Silt content	2009
	黏粒含量 Clay content	2009

气候 Climate	多年平均降水量 Multi-year average precipitation	2005—2020	国家地球系统科学数据中心 National Earth System Science Data Center（https://www.geodata.cn/）
	多年月均气温 Multi-year month mean temperature	2005—2020
	多年月均蒸散发量 Multi-year month mean evapotranspiration	2005—2020

地形 Terrain	高程 Elevation	2000	NASADEM V001产品（2020年） NASADEM V001 products (the year 2020）
地形 Terrain	坡度 Slope	2000	NASADEM V001产品（2020年） NASADEM V001 products (the year 2020）

基础地理 Basic geography	距国省县道的距离 Distance to national， provincial and county roads	2019	1∶100万公众版基础地理信息数据（2021年）1∶1 000 000 public version basic geographic information data （the year 2021），全国地理信息资源目录服务系统 National Catalogue Service For Geographic Information（https://www.webmap.cn/）
	距高速公路的距离 Distance to highway	2019
	距铁路的距离 Distance to railway	2019
	距县政府的距离 Distance to county government	2019
	距乡政府的距离 Distance to township government	2019
	距村政府的距离 Distance to village government	2019
	距水系的距离 Distance to water system	2019
	道路网密度 Road density	2019
	铁路网密度 Railway density	2019

社会经济 Social economy	人口密度 Population density	2020	世界人口中心共享平台 World Population Center Sharing Platform（https://hub.worldpop.org/）；Mu et al.，2022
社会经济 Social economy	人类足迹 Human footprint	2020

威胁因素 Threat factor	影响距离 Impact distance/km	权重 Weight	衰减函数类型 Decay type	土地利用类型 Land use type
威胁因素 Threat factor	影响距离 Impact distance/km	权重 Weight	衰减函数类型 Decay type	耕地 Cropland	林地 Forest	草地 Grassland	水域 Water area	建设用地 Construction land	裸地 Bare land	湿地 Wetland
				0.40*	1.00*	0.80*	0.70*	0.00*	0.10*	0.70*
耕地 Cropland	4	0.60	线性 Linear	0.20^#	0.50^#	0.20^#	0.40^#	0.00^#	0.10^#	0.55^#
裸地 Bare land	6	0.50	线性 Linear	0.90^#	0.80^#	0.50^#	0.60^#	0.00^#	0.30^#	0.70^#
建设用地 Construction land	8	0.80	指数 Exponential	0.40^#	0.20^#	0.30^#	0.50^#	0.00^#	0.20^#	0.30^#

年份 Year	耕地 Cropland	林地 Forest	草地 Grassland	水域 Water area	建设用地 Construction land	裸地 Bare land	湿地 Wetland
1990	157 864.01	135 600.01	72 167.48	7 427.62	11 842.91	14 878.32	29 594.25
2005	176 510.01	128 250.72	64 452.41	6 081.42	12 187.15	14 942.21	26 950.68
2020	176 611.27	128 414.44	63 024.38	6 370.73	13 519.32	14 512.65	26 921.81

情景 Scenarios	耕地 Cropland	林地 Forest	草地 Grassland	水域 Water area	建设用地 Construction land	裸地 Bare land	湿地 Wetland
自然发展 Natural development	176 817.94	128 551.34	61 719.59	6 604.18	14 642.12	14 135.61	26 903.82
城镇发展 Urban development	176 320.36	128 497.97	61 658.54	6 597.83	15 279.34	14 126.07	26 894.49
耕地保护 Cropland protection	178 326.79	128 576.76	61 734.58	6 470.18	13 214.49	14 139.09	26 912.71
生态保护 Ecological protection	175 988.48	128 944.35	63 460.91	6 422.10	13 353.08	14 136.77	27 068.91

年份 Year	核心生态栖息地 Core ecological habitat	适宜生态栖息地 Suitable ecological habitat	过渡生态区 Transitional ecological area	不适宜栖息地 Unsuitable habitat	受损生态区 Damaged ecological area
1990	104 496.57	69 266.15	38 357.79	140 902.05	76 352.04
2005	92 668.59	67 918.88	34 258.77	152 176.98	82 351.38
2020	90 099.55	68 177.19	33 918.31	149 661.54	87 518.01

Evolution and Multi-Scenario Prediction of Land Habitat Quality in the Potential Area of the Proposed Songnen Plain Crane Homeland National Park

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 0

Related Articles 15

Recommended Articles

Metrics

Comments

情景 Scenario	核心生态栖息地 Core ecological habitat	适宜生态栖息地 Suitable ecological habitat	过渡生态区 Transitional ecological area	不适宜栖息地 Unsuitable habitat	受损生态区 Damaged ecological area
自然发展Natural development	89 895.57	67 726.34	33 687.20	149 741.03	88 324.46
城镇发展 Urban development	89 821.73	67 630.72	33 516.71	149 658.64	88 746.80
耕地保护 Cropland protection	89 788.47	67 772.10	33 587.66	150 839.30	87 387.07
生态保护 Ecological protection	90 204.01	68 551.43	34 227.94	149 388.74	87 002.48

[1]	Fang Zhou,Keyi Jiang,Lanhua Ye,Qinghua Shen,Ran Tong,Nianfu Zhu,Yongzhao Miao,Tonggui Wu. Soil Phosphorus Availability and Its Influencing Factors of the Plantations in Baishanzu National Park [J]. Scientia Silvae Sinicae, 2024, 60(11): 37-47.
[2]	Xinsheng Han,Guangquan Liu,Hao Xu,Liguo Dong,Yongzhong Guo,Yu An,Haixia Wan,Yueling Wang. Spatial Variation and Scale Effect of Surface Soil Organic Carbon Content on Typical Slopes in the Loess Region, Ningxia [J]. Scientia Silvae Sinicae, 2024, 60(1): 19-31.
[3]	Huimin Feng,Kun Jin. Voiceprint Recognition of Male Nomascus hainanus Based on Convolutional Neural Network [J]. Scientia Silvae Sinicae, 2023, 59(1): 119-127.
[4]	Pu Zhang,Wenke Guan,Heyu Zhang,Xuelin Deng,Zhipeng Li,Hongxia Liu,Yiming Feng. Spatial-Temporal Changes of Forestry and Fruit Industry Land in Artificial Oasis: A Case Study of Dina River Watershed in Xinjiang Uygur Autonomous Region [J]. Scientia Silvae Sinicae, 2020, 56(12): 114-122.
[5]	Li Yangguang, Du Huaqiang, Mao Fangjie, Li Xuejian, Cui Lu, Han Ning, Xu Xiaojun. Information Extracting and Spatiotemporal Evolution of Bamboo Forest Based on Landsat Time Series Data in Zhejiang Province [J]. Scientia Silvae Sinicae, 2019, 55(3): 88-96.
[6]	Wang Mingyu, Wang Baitian. Impacts of Soil and Water Conservation Measures on the Annual Runoff and Sediment Yield in Small Watershed of Loess Plateau of China——A Case Study of Zhifanggou in Pingliang City of Gansu [J]. Scientia Silvae Sinicae, 2016, 52(8): 10-20.
[7]	Liu Dandan, Zhang Penghui, Wang Jian, Xiao Qingli. A Comparison on Soil Anti-Erodibility over Different Land Use Types on Loess Slope [J]. Scientia Silvae Sinicae, 2013, 49(9): 102-106.
[8]	Huang Xiaoyun;Lin Degen;Wang Jing;Chang Sheng;. Temporal and Spatial NPP Variation in the Karst Region in South China under the Background of Climate Change [J]. , 2013, 49(5): 10-16.
[9]	Zhu Yaojun;Guo Zhihua;Guo Julan;Wu Gaojie;Lü Liebiao;Li Wenquan. Mangrove Landscape Changes Process and Land Use and Coverage Change in Its Surrounding Area: A Case Study of Qinglangang Bay in Hainan Province [J]. , 2013, 49(5): 169-175.
[10]	Qiu Kuanbiao;Jia Baoquan;Wang Xujun. Distribution and Dynamics of Vegetation in Tangshan [J]. Scientia Silvae Sinicae, 2012, 48(4): 143-148.
[11]	Zhuang Jiayao;Yang Jing;Li Yao;Zhang Jinchi. Variation of Soil Volumetric Water Content in Grassland and an Oak Forest at Different Depths in a Forest Farm in Nanjing [J]. Scientia Silvae Sinicae, 2012, 48(12): 101-108.
[12]	Lei Ming;Li Changxiao;Chen Wei;Wei Hong. Effects of Different Land Use Patterns on Soil Enzymes Activities and Chemical Properties on Riverbank Slopes of the Three Gorges Reservoir [J]. Scientia Silvae Sinicae, 2012, 48(11): 15-22.
[13]	Chen Youqing;Li Qiao;Wang Siming. Diversity of Tetrigoidea Insects in Lac-Plantation-Farmland Ecosystem [J]. Scientia Silvae Sinicae, 2011, 47(9): 100-107.
[14]	Luo Panzhu;Li Jiping;Chen Yuanhong. The Models，Motives and Route Choice of Forestland Circulation and Transfer in Collective Forestry Region——Based on the Case of One County in Hunan Province [J]. Scientia Silvae Sinicae, 2010, 46(9): 158-163.
[15]	Chang Xueli;Cai Mingyu;Li Jianying;Zhang Jiping. Impacts of Afforestation on Land Use in Xinglongzhao Area, Kerqin Sandy Land [J]. Scientia Silvae Sinicae, 2009, 12(7): 136-139.