Response of ground arthropod assemblages to precipitation and temperature changes in the gobi desert

doi:10.7522/j.issn.1000-694X.2023.00103

Journal of Desert Research ›› 2024, Vol. 44 ›› Issue (2): 207-219.DOI: 10.7522/j.issn.1000-694X.2023.00103

Response of ground arthropod assemblages to precipitation and temperature changes in the gobi desert

Jialong Ren¹(), Jiliang Liu², Yongzhen Wang², Jing Fang², Yilin Feng³, Anling Gao⁴, Yuanxia Song⁴, Weidong Xin¹()

^1.College of Geographic Sciences，Shanxi Normal University，Taiyuan 030031，China
^2.Linze Inland River Basin Research Station，Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China
^3.School of Ecology and Environment，Ningxia University，Yinchuan 750021，China
^4.Inner Mongolia Ejina Populus Euphratica National Nature Reserve Management Bureau，Ejina 735400，Inner Mongolia，China

Received:2023-08-22 Revised:2023-11-15 Online:2024-03-20 Published:2024-03-19
Contact: Weidong Xin

Abstract

Abstract:

Ground arthropods are the main group in the food web of gobi desert ecosystem，the changes of resources caused by precipitation fluctuation will affect the aggregation of ground arthropods， thus affecting the structure and function of desert ecosystem.In this article， we conducted a series of microclimate observations using the trap method at a long-term observation site of the desert ecosystem in the Linze Inland River Basin from January to December 2018 to December 2020， as well as the spatial distribution patterns of ground arthropods in the gobi desert under the influence of annual and month of precipitation and temperature changes.The results indicate that：（1） From 2018 to 2020， a total of 24 834 individuals and 45 families of ground arthropods were caught. The dominant families consisted of Tenebrionidae， Curculionidae， Chrysomelidae， Gnaphosidae， Geotrupidae and Formicidae. （2） The results of Moran's I index analysis showed that the number of ground arthropods was positively correlated at the spatial scale of 16 m and negatively correlated at the spatial scale of 56 m to 96 m， the semi-variance function and ordinary Kriger interpolation indicated that the ground arthropod families formed clusters and showed strong spatial heterogeneity at different time scales. （3） The spatial differentiation of Curculionidae， Geotrupidae， Gnaphosidae and Formicidae was mainly controlled by structural factors， while that of Tenebrionidae and Chrysomelidae was controlled by both structural and random factor. （4） The increase of precipitation had a positive correlation to the spatial community aggregation of the Tenebrionidae， Curculionidae， Chrysomelidae， and Geotrupidae， and a negative correlation to the community aggregation of the Gnaphosidae and Formicidae，there was a positive correlation between temperature and spatial aggregation and expansion of ground arthropods.In a word， the change of precipitation changed the response pattern and dependence degree of ground arthropods to the micro-habitat constructed by shrubs and ant nests， and then affected the spatial aggregation of ground arthropods in different years.

Key words: gobi desert, precipitation changes, ground arthropod assemblages, community dynamics, spatial pattern

CLC Number:

Q959.22

Jialong Ren, Jiliang Liu, Yongzhen Wang, Jing Fang, Yilin Feng, Anling Gao, Yuanxia Song, Weidong Xin. Response of ground arthropod assemblages to precipitation and temperature changes in the gobi desert[J]. Journal of Desert Research, 2024, 44(2): 207-219.

Figures/Tables 9

References 46

1	Gaston K J.Global patterns in biodiversity［J］.Nature，2000，405：220-227.
2	Green J， Bohannan B J M.Spatial scaling of microbial biodiversity［J］.Trends in Ecology and Evolution，2006，21：501-507.
3	Aguiar M R， Sala O E.Patch structure dynamics and implications for the functioning of arid ecosystems［J］.Trends in Ecology and Evolution，1999，14：273-277.
4	Alper J.Ecosystem 'engineers' shape habitats for other species［J］.Science，1998，280（5367）：1195-1196.
5	Zhao H L， Zhou R L， Su Y Z，et al.Shrub facilitation of desert land restoration in the Horqin Sand Land of Inner Mongolia［J］.Ecological Engineering，2007，31：1-8.
6	刘任涛.沙地灌丛的“肥岛”和“虫岛”形成过程、特征及其与生态系统演替的关系［J］.生态学杂志，2014，33：3463-3469.
7	冯怡琳，王永珍，林永一，等.戈壁生态系统蚁穴微生境对大型土壤动物多样性的影响［J］.生物多样性，2022，30：88-98.
8	Shelef O， Groner E.Linking landscape and species：effect of shrubs on patch preference of beetles in arid and semi-arid ecosystems［J］.Journal of Arid Environments，2011，75（10）：960-967.
9	Liu J L， Zhao W Z， Li F R.Effects of shrub presence and shrub species on ground beetle assemblages （Carabidae， Curculionidae and Tenebrionidae） in a sandy desert，northwestern China［J］.Journal of Arid Land，2015，7：110-121.
10	Liu J L， Li F R， Liu C A，et al.Influences of shrub vegetation on distribution and diversity of a ground beetle community in a Gobi desert ecosystem［J］.Biodiversity and Conservation，2012，21（10）：2601-2619.
11	Bartholomew A， El Moghrabi J.Seasonal preference of darkling beetles （Tenebrionidae） for shrub vegetation due to high temperatures，not predation or food availability［J］.Journal of Arid Environments，2018，156：34-40.
12	冯益明，吴波，姚爱冬，等.戈壁分类体系与编目研究［J］.地理学报，2014，69（3）：391-398.
13	林永一，王永珍，冯怡琳，等.河西走廊中部戈壁地表甲虫群落动态变化及其影响因素［J］.生物多样性，2022，30（12）：76-87.
14	刘继亮，赵文智，李锋瑞，等.人工固沙植被恢复对地表节肢动物群落组成及多样性的影响［J］.生态学报，2018，38（4）：1357-1365.
15	王涛.荒漠化治理中生态系统、社会经济系统协调发展问题探析：以中国北方半干旱荒漠区沙漠化防治为例［J］.生态学报，2016，36（22）：7045-7048.
16	朱纪元，李景科，高梅香，等.帽儿山红松人工林鞘翅目成虫群落小尺度空间异质性变化特征［J］.生态学报，2017，37（6）：1975-1986.
17	胡媛媛，朱纪元，闫龙，等.温带落叶阔叶林小尺度空间地表鞘翅目成虫群落多样性［J］.哈尔滨师范大学自然科学学报，2016，32（6）：67-73.
18	高梅香，张超，乔志宏，等.小兴安岭阔叶红松林地表甲虫Metacommunity格局［J］.生态学报，2018，38（16）：5636-5648.
19	高梅香，林琳，常亮，等.土壤动物群落空间格局和构建机制研究进展［J］.生物多样性，2018，26（10）：1034-1050.
20	刘继亮，李锋瑞，刘七军，等.黑河中游干旱荒漠地面节肢动物群落季节变异规律［J］.草业学报，2010，19：161-169.
21	郑乐怡，归鸿.昆虫分类［M］.南京：南京师范大学出版社，1999.
22	任国栋，于有志.中国荒漠半荒漠的拟步甲科昆虫［M］.保定：河北大学出版社，1999.
23	任国栋，巴义彬.中国土壤拟步甲志（第二卷）鳖甲类［M］.北京：科学出版社，2010.
24	任国栋.中国动物志：昆虫纲第六十三卷鞘翅目拟步甲科（一）［M］.北京：科学出版社，2016.
25	胡媛媛，朱纪元，闫龙，等.温带落叶阔叶林地表鞘翅目成虫小尺度空间格局动态分析［J］.生态学报，2018，38（5）：1841-1851.
26	孙佳欢，刘冬，朱家祺，等.小麦-玉米轮作农田土壤螨多样性空间分布格局［J］.生物多样性，2022，30（12）：110-126.
27	Li F R， Liu J L， Liu C A，et al. Shrubs and species identity effects on the distribution and diversity of ground-dwelling arthropods in a gobi desert［J］.Journal of Insect Conservation，2013，17：319-331.
28	Zajicek Petr， Ellen A R， Welti N J，et al.Long-term data reveal unimodal responses of ground beetle abundance to precipitation and land use but no changes in taxonomic and functional diversity［J］.Scientific Report，2021，11：17468.
29	王敏.贺兰山荒漠草地地表甲虫集合群落空间格局及其与环境因子关系［D］.银川：宁夏大学，2022.
30	Langlands P R， Brennan K E C， Pearson D J.Spiders，spinifex，rainfall and fire：long-term changes in an arid spider assemblage［J］.Journal of Arid Environments，2006，67：36-59.
31	Barrows C.Temporal patterns of abundance of arthropods on sand dunes［J］.The Southwestern Naturalist，2012，57：262-266.
32	Nielsen U N， Ball B A.Impacts of altered precipitation regimes on soil communities and biogeochemistry in arid and semi-arid ecosystems［J］.Global Change Biology，2015，21：1407-1421.
33	Kwok W G M， Greenville A C.Long-term patterns of invertebrate abundance and relationships to environmental factors in arid Australia［J］.Austral Ecology，2016，41：480-491.
34	Gibb H， Grossman B F， Dickman C R，et al.Long‐term responses of desert ant assemblages to climate［J］.Journal of Animal Ecology，2019，88：1549-1563.
35	杨贵军，贺海明，王新谱.盐池荒漠草地拟步甲昆虫群落时间结构和动态［J］.应用昆虫学报，2012，49：1610-1617.
36	Robert H， Morgan H， Katja G，et al.Shrub encroachment is not always land degradation： Insights from ground‐dwelling beetle species niches along a shrub cover gradient in a semi‐arid Namibian savanna［J］.Land Degradation and Development，2019，30（1）：14-24.
37	Thomas Jr D B.Patterns in the abundance of some tenebrionid beetles in the Mojave Deseret［J］.Environmental Entomology，1979，8：568-574.
38	Kwok A B C， Wardle G M， Greenville A C.Long‐term patterns of invertebrate abundance and relationships to environmental factors in arid Australia［J］. Austral Ecology，2016，41：480-491.
39	胡发成，白晶晶.河西走廊荒漠草原白刺夜蛾生活习性及防治研究［J］.畜牧兽医杂志，2011，30（6）：40-42.
40	刘宁云，勾文山，马维新，等.温度对白茨粗角萤叶甲生长发育及繁殖的影响［J］.植物保护，2023，49（2）：220-226.
41	何嘉，高立原，张蓉，等.温度对巨膜长蝽生长发育与繁殖的影响［J］.昆虫学报，2014，57（8）：935-942.
42	Ingimarsdóttir M， Caruso T， Ripa J.Primary assembly of soil communities：disentangling the effect of dispersal and local environment［J］.Oecologia，2012，170：745-754．
43	Cloudsley-Thompson J L.Thermal and water relations of desert beetles［J］.Die Naturwissenschaften，2001，88（11）：447-460.
44	冯志荣，陈有城，彭艳琼，等.生态网络分析：从集合群落到集合网络［J］.生物多样性，2023，31（8）：135-146.
45	李海东，吴新卫，肖治术.种间互作网络的结构、生态系统功能及稳定性机制研究［J］.植物生态学报，2021，45（10）：1049-1063.
46	高梅香，刘冬，张雪萍，等.三江平原农田地表和地下土壤螨类丰富度与环境因子的空间关联性［J］.生态学报，2016，36：1782-1792.

群落结构	年份	模型	块金值（C₀）	基台值（C₀+C）	变程/m	结构比[C/(C₀+C)]
活动密度	2018	球状模型	0.01	0.25	17.85	0.95
	2019	球状模型	0.00	0.18	12.24	0.98
	2020	高斯模型	0.01	0.12	9.17	0.87
科丰富度	2018	高斯模型	0.01	0.10	7.55	0.86
	2019	球状模型	0.00	0.11	10.92	0.99
	2020	球状模型	0.01	0.11	9.54	0.96
多样性指数	2018	指数模型	0.00	0.04	6.13	0.85
	2019	指数模型	0.00	0.04	9.54	0.90
	2020	指数模型	0.00	0.03	11.75	0.96

群落结构	年份	模型	块金值（C₀）	基台值（C₀+C）	变程/m	结构比[C/(C₀+C)]
活动密度	2018	球状模型	0.01	0.25	17.85	0.95
	2019	球状模型	0.00	0.18	12.24	0.98
	2020	高斯模型	0.01	0.12	9.17	0.87
科丰富度	2018	高斯模型	0.01	0.10	7.55	0.86
	2019	球状模型	0.00	0.11	10.92	0.99
	2020	球状模型	0.01	0.11	9.54	0.96
多样性指数	2018	指数模型	0.00	0.04	6.13	0.85
	2019	指数模型	0.00	0.04	9.54	0.90
	2020	指数模型	0.00	0.03	11.75	0.96

科	年份	模型	块金值（C₀）	基台值（C₀+C）	变程/m	结构比[C/(C₀+C)]
拟步甲科 (Tenebrionidae)	2018	球面模型	0.41	0.96	38.68	0.58
拟步甲科 (Tenebrionidae)	2019	球面模型	0.04	1.01	9.54	0.96
	2020	球面模型	0.05	0.35	33.22	0.85
象甲科 (Curculionidae)	2018	指数模型	0.00	0.03	4.34	1.00
象甲科 (Curculionidae)	2019	高斯模型	0.08	1.32	1.50	1.00
	2020	球面模型	0.00	0.45	12.25	0.99
叶甲科 (Chrysomelidae)	2018	球面模型	0.00	0.02	9.10	0.74
叶甲科 (Chrysomelidae)	2019	球面模型	0.00	0.04	9.54	0.94
	2020	高斯模型	0.07	0.15	34.50	0.53
平腹蛛科 (Gnaphosidae)	2018	指数模型	0.03	0.49	7.37	0.94
平腹蛛科 (Gnaphosidae)	2019	球面模型	0.04	1.01	9.54	0.96
	2020	指数模型	0.03	0.46	3.67	0.95
粪金龟科 (Geotrupidae)	2018	指数模型	0.01	0.03	10.10	0.75
粪金龟科 (Geotrupidae)	2019	指数模型	0.00	0.06	5.04	0.93
	2020	指数模型	0.01	0.06	4.85	0.88
蚊科 (Formicidae)	2018	球面模型	0.01	0.26	17.23	0.95
蚊科 (Formicidae)	2019	球面模型	0.00	0.38	9.54	0.97
	2020	球面模型	0.09	2.64	12.67	0.97

科	年份	模型	块金值（C₀）	基台值（C₀+C）	变程/m	结构比[C/(C₀+C)]
拟步甲科 (Tenebrionidae)	2018	球面模型	0.41	0.96	38.68	0.58
拟步甲科 (Tenebrionidae)	2019	球面模型	0.04	1.01	9.54	0.96
	2020	球面模型	0.05	0.35	33.22	0.85
象甲科 (Curculionidae)	2018	指数模型	0.00	0.03	4.34	1.00
象甲科 (Curculionidae)	2019	高斯模型	0.08	1.32	1.50	1.00
	2020	球面模型	0.00	0.45	12.25	0.99
叶甲科 (Chrysomelidae)	2018	球面模型	0.00	0.02	9.10	0.74
叶甲科 (Chrysomelidae)	2019	球面模型	0.00	0.04	9.54	0.94
	2020	高斯模型	0.07	0.15	34.50	0.53
平腹蛛科 (Gnaphosidae)	2018	指数模型	0.03	0.49	7.37	0.94
平腹蛛科 (Gnaphosidae)	2019	球面模型	0.04	1.01	9.54	0.96
	2020	指数模型	0.03	0.46	3.67	0.95
粪金龟科 (Geotrupidae)	2018	指数模型	0.01	0.03	10.10	0.75
粪金龟科 (Geotrupidae)	2019	指数模型	0.00	0.06	5.04	0.93
	2020	指数模型	0.01	0.06	4.85	0.88
蚊科 (Formicidae)	2018	球面模型	0.01	0.26	17.23	0.95
蚊科 (Formicidae)	2019	球面模型	0.00	0.38	9.54	0.97
	2020	球面模型	0.09	2.64	12.67	0.97

科与指标	降水量/mm		温度/℃
科与指标	r	P	r	P
活动密度	0.49	0.108	0.68	0.015
科丰富度	0.66	0.018	0.78	0.003
多样性指数	0.32	0.305	0.51	0.091
平腹蛛科（Gnaphosidae）	0.50	0.097	0.69	0.013
拟步甲科（Tenebrionidae）	0.76	0.004	0.94	<0.001
象甲科（Curculionidae）	0.63	0.029	0.86	<0.001
叶甲科（Chrysomelidae）	0.23	0.464	0.56	0.059
粪金龟科（Geotrupidae）	0.65	0.023	0.67	0.017
蚁科（Formicidae）	0.50	0.097	0.49	0.106

Response of ground arthropod assemblages to precipitation and temperature changes in the gobi desert

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