Dynamic analyses of forest ecological functions based on fixed plot data of continuous forest resources inventories from 1979 to 2012 in Guangzhou

doi:10.12302/j.issn.1000-2006.202009063

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (2): 205-212.doi: 10.12302/j.issn.1000-2006.202009063

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Dynamic analyses of forest ecological functions based on fixed plot data of continuous forest resources inventories from 1979 to 2012 in Guangzhou

QIAN Chunhua¹^,²(), ZHAO Yichen³, LI Mingyang¹^,^*(), LI Tao¹

1. College of Forestry, Nanjing Forestry University, Nanjing 210037,China
2. Suzhou Polytechnic Institute of Agriculture, Suzhou 215008, China
3. Shenyang Surveying and Mapping Research Institute Co., Ltd., Shenyang 110004,China

Received:2020-09-21 Accepted:2021-10-28 Online:2022-03-30 Published:2022-04-08
Contact: LI Mingyang E-mail:chqian@szai.edu.cn;lmy196727@126.com

Abstract

Abstract:

【Objective】 The scientific forest management should be established based on the ecological rationality. A comprehensive evaluation of forest ecological functions and an analysis of driving factors at the regional scale can provide scientific references for the formulation of forest management plans. 【Method】 Guangzhou City in the Pearl River Delta was selected as the case study area, and 148 fixed plot data of continuous forest resource inventories from 1979 to 2012 in eight periods were collected as the main information source. The spatiotemporal changes and driving factors of forest ecological functions were analyzed based on the construction of the ecological function index. 【Result】 (1) From 1979 to 2012, the number of plots with improved forest ecological functions in the study area was greater than the number of plots with the decreased. The proportion of middle and high grade plots showed a steady increasing trend, whereas the proportion of low grade plots showed a stepwise downward trend. (2) From 1979 to 2012, the spatial aggregation of forest ecological functions in the study area showed a complex change process that first increased, then declined sharply, and then slowly increased. The geographical distribution centers of the high-value points of ecological functions gradually shifted from south to north and west to east. (3) The geographically weighted regression (GWR) analysis showed that the first four main driving factors affecting the spatial difference in forest ecological functions in the study area were ranked as follows: altitude>vegetation fractional coverage>slope> per capita gross domestic product (GDP). 【Conclusion】 The occupation and degradation of forest land caused by urbanization, industrialization and the impact of changes in forestry policies and regulations on forest farmers’ enthusiasm for the forest management are the main driving factors causing changes in regional forest ecological functions. Strengthening the forest management and enhancing forestland protection are the only viable approaches to improving regional forest ecology.

Key words: forest ecological function, fixed plot data of continuous forest resources inventory, driving factor, Guangzhou

CLC Number:

S757

QIAN Chunhua, ZHAO Yichen, LI Mingyang, LI Tao. Dynamic analyses of forest ecological functions based on fixed plot data of continuous forest resources inventories from 1979 to 2012 in Guangzhou[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2022, 46(2): 205-212.

Figures/Tables 7

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References 18

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序号 code	评价因子 factors	类型划分标准 classification standards			权重 weight
序号 code	评价因子 factors	Ⅰ	Ⅱ	Ⅲ	权重 weight
1	森林蓄积量/(m³·hm^-2) volume	≥150	≥50~149	<50	0.20
2	森林自然度 forest naturalness	1,2	3,4	5	0.15
3	森林群落结构 community structure	1	2	3	0.15
4	树种结构 tree species structure	6,7	3,4,5	1,2	0.15
5	植被总覆盖度/% coverage	≥70	≥50~69	<50	0.10
6	郁闭度 canopy	≥0.70	≥0.40~0.69	≥0.20~0.39	0.10
7	平均树高/m mean height	≥15.0	≥5.0~14.9	<5.0	0.10
8	枯枝落叶厚度等级 litter thickness grade	1	2	3	0.05

森林自然度 forest natural degree	划分标准 division standard	赋值 assignment
Ⅰ	原始或受人为影响很小而处于基本原始状态的森林类型	5
Ⅱ	有明显人为干扰的天然森林类型或处于演替后期的次生森林类型,以地带性顶极适应值较高的树种为主,顶极树种明显可见	4
Ⅲ	人为干扰很大的次生森林类型,处于次生演替的后期阶段,除先锋树种外,也可见顶极树种出现	3
Ⅳ	人为干扰很大,演替逆行,处于极为残次的次生林阶段	2
Ⅴ	人为干扰强度极大且持续,地带性森林类型几乎破坏殆尽,处于难以恢复的逆行演替后期,包括各种人工森林类型	1

因素 factor	极小值 min	均值 mean	极大值 max	标准差 SD
人口密度/(人·km^-2) population density	0.107 945	0.114 933	0.125 995	0.004 514
人均GDP/(万元·km^-2) per capita GDP	-0.303 679	-0.286 069	-0.263 819	0.009 505
灯光亮度 light brightness	0.149 967	0.175 421	0.199 732	0.011 750
年降水量/mm annual precipitation	0.083 595	0.105 595	0.127 164	0.009 922
植被覆盖度/% coverage	0.531 049	0.567 087	0.595 204	0.014 326
海拔/m altitude	0.610 710	0.619 613	0.633 518	0.005 838
坡度/(°) slope	0.407 029	0.439 292	0.468 430	0.014 785

Dynamic analyses of forest ecological functions based on fixed plot data of continuous forest resources inventories from 1979 to 2012 in Guangzhou

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