基于功能和谱系视角分析繁殖留鸟对风机的响应

doi:10.13287/j.1001-9332.202109.037

应用生态学报 ›› 2021, Vol. 32 ›› Issue (9): 3136-3144.doi: 10.13287/j.1001-9332.202109.037

基于功能和谱系视角分析繁殖留鸟对风机的响应

丁志锋^1*, 梁健超¹, 蔡坚², 魏龙²

¹广东省科学院动物研究所, 广东省动物保护与资源利用重点实验室, 广东省野生动物保护与利用公共实验室, 广州 510260;
²广东省森林培育与保护利用重点实验室/广东省林业科学研究院, 广州 510520

收稿日期:2020-12-13 接受日期:2021-06-04 出版日期:2021-09-15 发布日期:2022-03-15
通讯作者: * E-mail: dingzhf@163.com
作者简介:丁志锋, 男, 1982年生, 博士, 副研究员。主要从事鸟类群落生态学和行为生态学研究。E-mail: dingzhf@163.com
基金资助:
广东省林业科技创新项目(2017KJCX038,2019KJCX010)和广东省科学院科技发展专项(2018GDASCX-0107)资助

Resident breeding bird responses to wind turbines: A functional and phylogenetic perspective

DING Zhi-feng^1*, LIANG Jian-chao¹, CAI Jian², WEI Long²

¹Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China;
²Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization/ Guangdong Academy of Forestry, Guangzhou 510520, China

Received:2020-12-13 Accepted:2021-06-04 Online:2021-09-15 Published:2022-03-15
Contact: * E-mail: dingzhf@163.com
Supported by:
Forestry Science and Technology Innovation Fund Project of Guangdong Province (2017KJCX038, 2019KJCX010), and the Special Project of Science and Technology Development of Guangdong Academy of Sciences (2018GDASCX-0107).

摘要/Abstract

摘要： 风电作为清洁可再生绿色能源越来越受到世界各国的重视,其建设规模也在不断扩大,导致风电建设与鸟类保护的矛盾进一步凸显,如何协调风电发展与物种保护已成为生态学家和保护生物学家关注的热点主题。为了探究风机对鸟类物种、功能和谱系的影响,本研究于2019年1、3、4、5月,采用样线法对连山风电场的鸟类多样性进行了4次调查。根据样线离风机距离的远近设置4个梯度: 100～300 m有6条样线,300～500 m 有13条样线,500～700 m 有8条样线,>700 m 有5条样线。结果表明: 本次调查中记录了繁殖留鸟76种,隶属于11目31科,目、科中数量最多是雀形目(53种)和画眉科(12种)。鸟类物种丰富度、功能丰富度(FRic)和谱系多样性(Faith PD)随着离风机距离的增加呈增加趋势: 在500 m以内未显著增加,500 m外呈显著增加趋势;鸟类群落水平的扩散能力呈现出增加趋势。鸟类群落的平均成对功能和谱系距离的标准化效应值(SES.MFD和SES.MPD)均小于0,其中显著低于随机值的样线占比约为50%(P<0.05)。风力发电机对鸟类物种、功能和谱系的影响主要在前500 m的距离;本研究的4个梯度中,鸟类群落的功能和谱系结构均表现为聚集特征。研究证实,风机对鸟类的影响是多维度的,在评估风机对鸟类群落的影响时仅考虑物种多样性可能难以提供全面的信息。

关键词: 风电场, 鸟类, 功能多样性, 谱系多样性, 群落结构

Abstract: As a clean and green renewable energy source, wind power attracts more and more attention globally, and rapidly expands its use scale. There are conflicts between wind power development and bird protection. The impacts of wind farms on birds is a hot topic for ecologists and conservationists. To estimate the effects of wind turbines on avian species diversity and their functional and phylogenetic diversity, we conducted line transect surveys in January, March, April and May 2019. Thirty-two line transects were divided into four gradients according to the distance from the wind turbines, i.e., 100-300 m (6 transects), 300-500 m (13 transects), 500-700 m (8 transects), >700 m (5 transects). The results showed that a total of 76 resident breeding birds were recorded, belonging to 11 orders and 31 families. Passeriformes and Timaliidae had the highest species richness (53 and 12 species, respectively). Bird species richness, functional richness (FRic), and phylogenetic diversity (Faith's PD) were increased with increasing distance from the wind turbines. Specifically, bird richness, FRic and phylogenetic diversity increased little within 500 m of the wind turbines, whereas a significant increase occurred over 500 m from wind turbines. The community-weighted mean of dispersal ability showed an increasing trend with distance from the wind turbines. The standardized effect size of both mean pairwise functional/phylogenetic distance (SES.MFD and SES.MPD) were less than 0 in all transects, with about half of which being significantly lower than expected at random. This finding suggested that the impacts of wind farms on bird species, functional and phylogenetic diversity occurred within 500 meters from wind turbines, with a pattern of functional and phylogenetic clustering. The impacts of wind turbines on birds were multi-dimensional. It is therefore difficult to provide complete perspective on assessing the impacts of wind farms on birds when only considering species diversity.

Key words: wind farm, birds, functional diversity, phylogenetic diversity, community structure

丁志锋, 梁健超, 蔡坚, 魏龙. 基于功能和谱系视角分析繁殖留鸟对风机的响应[J]. 应用生态学报, 2021, 32(9): 3136-3144.

DING Zhi-feng, LIANG Jian-chao, CAI Jian, WEI Long. Resident breeding bird responses to wind turbines: A functional and phylogenetic perspective[J]. Chinese Journal of Applied Ecology, 2021, 32(9): 3136-3144.

参考文献

[1] Wang S, Wang S, Smith P. Ecological impacts of wind farms on birds: Questions, hypotheses, and research needs. Renewable and Sustainable Energy Reviews, 2015, 44: 599-607
[2] Miao R, Ghosh PN, Khanna M, et al. Effect of wind turbines on bird abundance: A national scale analysis based on fixed effects models. Energy Policy, 2019, 132: 357-366
[3] Drewitt AL, Langston RH. Assessing the impacts of wind farms on birds. Ibis, 2006, 148: 29-42
[4] Smallwood KS. Estimating wind turbine-caused bird mortality. Journal of Wildlife Management, 2007, 71: 2781-2791
[5] Pruett CL, Patten MA, Wolfe DH. It's not easy being green: Wind energy and a declining grassland bird. BioScience, 2009, 59: 257-262
[6] Krijgsveld KL, Akershoek K, Schenk F, et al. Collision risk of birds with modern large wind turbines. Ardea, 2009, 97: 357-366
[7] Marques AT, Batalha H, Rodrigues S, et al. Understanding bird collisions at wind farms: An updated review on the causes and possible mitigation strategies. Biological Conservation, 2014, 179: 40-52
[8] Thaker M, Zambre A, Bhosale H. Wind farms have cascading impacts on ecosystems across trophic levels. Nature Ecology & Evolution, 2018, 2: 1854-1858
[9] Schaub T, Klaassen RH, Bouten W, et al. Collision risk of Montagu's harriers Circus pygargus with wind turbines derived from high-resolution GPS tracking. Ibis, 2020, 162: 520-534
[10] Gómez-Catasús J, Garza V, Traba J. Wind farms affect the occurrence, abundance and population trends of small passerine birds: The case of the Dupont's lark. Journal of Applied Ecology, 2018, 55: 2033-2042
[11] Schippers P, Buij R, Schotman A, et al. Mortality limits used in wind energy impact assessment underestimate impacts of wind farms on bird populations. Ecology and Evolution, 2020, 10: 6274-6287
[12] Pearce-Higgins JW, Stephen L, Langston RH, et al. The distribution of breeding birds around upland wind farms. Journal of Applied Ecology, 2009, 46: 1323-1331
[13] Fernández-Bellon D, Wilson MW, Irwin S, et al. Effects of development of wind energy and associated changes in land use on bird densities in upland areas. Conservation Biology, 2019, 33: 413-422
[14] 陈旭才. 江苏如东沿海鸟类调查与潮间带风电设施对迁徙水鸟影响. 硕士论文. 上海: 华东师范大学, 2016 [Chen X-C. Rudong Coastal Bird Survey and Intertidal Wind Power on Migratory Waterbirds, Jiangsu Province. Master Thesis. Shanghai: East China Normal University, 2016]
[15] Gillespie MK. Bird and Bat Responses to Wind Energy Development in Iowa. Master Thesis. Ames, IA, USA: Iowa State University, 2013
[16] Falavigna TJ, Pereira D, Rippel ML, et al. Changes in bird species composition after a wind farm installation: A case study in South America. Environmental Impact Assessment Review, 2020, 83: 106387
[17] Gaston KJ. Species richness: Measure and measurement// Gaston KJ, Spicer JI, eds. Biodiversity: An Introduction. Oxford, UK: Blackwell Science, 1998: 77-113
[18] Wilsey BJ, Chalcraft DR, Bowles CM, et al. Relationships among indices suggest that richness is an incomplete surrogate for grassland biodiversity. Ecology, 2005, 86: 1178-1184
[19] Tilman D. Functional diversity// Levin SA, ed. Encyclopaedia of Biodiversity. San Diego, CA, USA: Academic Press, 2001: 109-120
[20] Bässler C, Ernst R, Cadotte M, et al. Near-to-nature logging influences fungal community assembly processes in a temperate forest. Journal of Applied Ecology, 2014, 51: 939-948
[21] Faith DP. Conservation evaluation and phylogenetic diversity. Biological Conservation, 1992, 61: 1-10
[22] Cadotte MW, Carscadden K, Mirotchnick N. Beyond species: Functional diversity and the maintenance of ecological processes and services. Journal of Applied Ecology, 2011, 48: 1079-1087
[23] Srivastava DS, Cadotte MW, MacDonald AAM, et al. Phylogenetic diversity and the functioning of ecosystems. Ecology Letters, 2012, 15: 637-648
[24] Mouquet N, Devictor V, Meynard CN, et al. Ecophylogenetics: Advances and perspectives. Biological Reviews, 2012, 87: 769-785
[25] 邓利科, 邓福兴, 宋月华. 连州风力发电场防雷接地探讨. 气象研究与应用, 2017, 38(4): 88-90 [Deng L-K, Deng F-X, Song Y-H. Discussion on lightning protection and grounding of Lianzhou Wind Farm. Journal of Meteorological Research and Application, 2017, 38(4): 88-90]
[26] Bibby CJ, Burgess ND, Hill DA, et al. Bird Census Techniques. 2nd Ed. London, UK: Academic Press, 2000
[27] Wang Y, Bao Y, Yu M, et al. Nestedness for different reasons: The distributions of birds, lizards and small mammals on islands of an inundated lake. Diversity and Distributions, 2010, 16: 862-873
[28] Ding Z, Feeley KJ, Wang Y, et al. Patterns of bird functional diversity on land-bridge island fragments. Journal of Animal Ecology, 2013, 82: 781-790
[29] Zhang Q, Holyoak M, Chen C, et al. Trait-mediated filtering drives contrasting patterns of species richness and functional diversity across montane bird assemblages. Journal of Biogeography, 2020, 47: 301-312
[30] 丁志锋, 梁健超, 冯永军, 等. 澳门城市栖息地斑块中鸟类群落功能和谱系多样性. 生态学杂志, 2020, 39(4): 1238-1247 [Ding Z-F, Liang J-C, Feng Y-J, et al. Functional and phylogenetic diversity of birds in urban habitat patches in Macao, China. Chinese Journal of Ecology, 2020, 39(4): 1238-1247]
[31] Petchey OL, Evans KL, Fishburn IS, et al. Low functional diversity and no redundancy in British avian assemblages. Journal of Animal Ecology, 2007, 76: 977-985
[32] Flynn DFB, Gogol-Prokurat M, Nogeire T, et al. Loss of functional diversity under land use intensification across multiple taxa. Ecology Letters, 2009, 12: 22-33
[33] Brown JH. Macroecology. Chicago, IL, USA: University of Chicago Press, 1995
[34] Trisos CH, Petchey OL, Tobias JA. Unraveling the interplay of community assembly processes acting on multiple niche axes across spatial scales. The American Naturalist, 2014, 184: 593-608
[35] 刘阳, 张正旺. 鸟类的扩散行为研究进展. 生态学报, 2008, 28(4): 1354-1365 [Liu Y, Zhang Z-W. Research progress in avian dispersal behavior. Acta Ecologica Sinica, 2008, 28(4): 1354-1365]
[36] 华南濒危动物研究所. 广东鸟类彩色图鉴. 广州: 广东科技出版社, 1991 [South China Institute of Endangered Animals. Colorized Illustrated Handbook of Guangdong Birds. Guangzhou: Guangdong Science and Technology Press, 1991]
[37] Gower JC. Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika, 1966, 53: 325-338
[38] Blomberg SP, Garland JrT, Ives AR. Testing for phylogenetic signal in comparative data: Behavioral traits are more labile. Evolution, 2003, 57: 717-745
[39] Maddison WP, Slatkin M. Null models for the number of evolutionary steps in a character on a phylogenetic tree. Evolution, 1991, 45: 1184-1197
[40] Villéger S, Mason NW, Mouillot D. New multidimensional functional diversity indices for a multifaceted framework in functional ecology. Ecology, 2008, 89: 2290-2301
[41] Tucker CM, Cadotte MW, Carvalho SB, et al. A guide to phylogenetic metrics for conservation, community ecology and macroecology. Biological Reviews, 2017, 92: 698-715
[42] Tucker CM, Davies TJ, Cadotte MW, et al. On the relationship between phylogenetic diversity and trait diversity. Ecology, 2018, 99: 1473-1479
[43] Webb CO, Ackerly DD, McPeek MA, et al. Phylogenies and community ecology. Annual Review of Ecology and Systematics, 2002, 33: 475-505
[44] Colwell RK. ESTIMATES: Statistical Estimation of Species Richness and Shared Species from Samples. [EB/OL]. (2013-06-15) [2020-02-19]. https://viceroy.eeb.uconn.edu/estimates/
[45] R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, Vienna, Austria. [EB/OL]. (2019-07-05)[2020-02-19]. https://www.R-project.org/
[46] Mouchet MA, Villéger S, Mason NW, et al. Functional diversity measures: An overview of their redundancy and their ability to discriminate community assembly rules. Functional Ecology, 2010, 24: 867-876
[47] Rosenfeld JS. Functional redundancy in ecology and conservation. Oikos, 2002, 98: 156-162
[48] Cadotte MW, Carboni M, Si X, et al. Do traits and phylogeny support congruent community diversity patterns and assembly inferences? Journal of Ecology, 2019, 107: 2065-2077
[49] Zhao Y, Dunn RR, Zhou H, et al. Island area, not isolation, drives taxonomic, phylogenetic and functional diversity of ants on land-bridge islands. Journal of Biogeography, 2020, 47: 1627-1637
[50] 赵郁豪. 千岛湖片段化生境中蚂蚁群落的构建机制. 博士论文. 杭州: 浙江大学, 2020 [Zhao Y-H. The Mechanism of Ant Community Assembly in Fragmented Habitats of the Thousand Island Lake. PhD Thesis. Hang-zhou: Zhejiang University, 2020]
[51] Cadotte MW, Davies TJ, Peres-Neto PR. Why phylogenies do not always predict ecological differences. Ecologi-cal Monographs, 2017, 87: 535-551
[52] Lavorel S, Grigulis K, McIntyre S, et al. Assessing functional diversity in the field: Methodology matters. Functional Ecology, 2008, 22: 134-147
[53] Zhang Q, Holyoak M, Chen C, et al. Trait-mediated filtering drives contrasting patterns of species richness and functional diversity across montane bird assemblages. Journal of Biogeography, 2020, 47: 301-312
[54] Herrera-Alsina L, Villegas-Patraca R, Eguiarte LE, et al. Bird communities and wind farms: A phylogenetic and morphological approach. Biodiversity and Conservation, 2013, 22: 2821-2836
[55] Silva CP, Sepúlveda RD, Barbosa O. Nonrandom filtering effect on birds: Species and guilds response to urbanization. Ecology and Evolution, 2016, 6: 3711-3720
[56] Si X, Cadotte MW, Zeng D, et al. Functional and phylogenetic structure of island bird communities. Journal of Animal Ecology, 2017, 86: 532-542
[57] Nazir MS, Ali N, Bilal M, et al. Potential environmental impacts of wind energy development: A global perspective. Current Opinion in Environmental Science & Health, 2020, 13: 85-90
[58] Si X, Cadotte MW, Zhao Y, et al. The importance of accounting for imperfect detection when estimating functional and phylogenetic community structure. Ecology, 2018, 99: 2103-2112
[59] Feeley KJ, Silman MR. Keep collecting: Accurate species distribution modelling requires more collections than previously thought. Diversity and Distributions, 2011, 17: 1132-1140

基于功能和谱系视角分析繁殖留鸟对风机的响应

Resident breeding bird responses to wind turbines: A functional and phylogenetic perspective

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	梁雪丽, 梁晓霞, 毛晓雅, 柴宝峰, 贾彤. 芦芽山鬼箭锦鸡儿灌丛不同深度土壤细菌群落分布格局及其影响因素 [J]. 应用生态学报, 2024, 35(2): 381-389.
[2]	黄睿智, 王奇, 孙婧依, 杨绍微, 赵倚霈, 刘建锋, 肖文发. 太白山南北坡栎类林物种组成与群落特征比较 [J]. 应用生态学报, 2023, 34(8): 2055-2064.
[3]	黄庆阳, 谢立红, 曹宏杰, 王立民, 杨帆, 王继丰, 刘赢男, 倪红伟. 细菌对五大连池火山森林凋落物早期分解的影响 [J]. 应用生态学报, 2023, 34(7): 1941-1948.
[4]	刘珊珊, 王全成, 史加勉, 刘子恺, 沈菊培, 贺纪正, 郑勇. 亚热带森林菌根植物根系真菌群落结构对氮磷添加的响应 [J]. 应用生态学报, 2023, 34(6): 1547-1554.
[5]	张达, 曾坚, 艾合麦提·那麦提. 高强度开发地区鸟类自然保护地保护空缺识别——以天津市为例 [J]. 应用生态学报, 2023, 34(6): 1621-1629.
[6]	丁爽, 魏圣钊, 陈真亮, 邵婧, 段逢瑞, 严禹, 段兴武. 中国西南典型森林土壤微生物在不同土壤深度下的变化特征 [J]. 应用生态学报, 2023, 34(3): 614-622.
[7]	刘莲莲, 尚妍萌, 张杰, 李廷亮, 谢英荷, 谢钧宇, 李丽娜, 洪坚平. 不同施肥处理对晋南旱塬麦田土壤微生物功能多样性的影响 [J]. 应用生态学报, 2023, 34(3): 671-678.
[8]	余安卫, 胡汶廷, 吴思颖, 尹海锋, 范川, 李贤伟. 目标树经营对马尾松人工林不同土层深度土壤线虫群落结构的影响 [J]. 应用生态学报, 2023, 34(2): 359-368.
[9]	赵亮, 杨治春, 周卷华, 王国强, 尹秋龙, 赵锦, 齐光, 原作强. 秦岭北麓典型栓皮栎天然次生林群落结构与物种组成 [J]. 应用生态学报, 2023, 34(12): 3214-3222.
[10]	史加勉, 宋鸽, 刘珊珊, 郑勇. 杉木林土壤丛枝菌根真菌形态特征及孢子相关细菌多样性对模拟氮沉降和干旱的响应 [J]. 应用生态学报, 2023, 34(12): 3291-3300.
[11]	刘倩煜, 王让虎, 吴鑫杰, 窦永静. 吕梁山森林生态系统土壤螨类物种多样性和功能多样性对海拔梯度的响应 [J]. 应用生态学报, 2023, 34(12): 3301-3312.
[12]	王星, 杨腾, 毛子昆, 蔺菲, 叶吉, 房帅, 戴冠华, 胡家瑞, 郝占庆, 王绪高, 原作强. 长白山阔叶红松林优势树种叶际真菌群落结构 [J]. 应用生态学报, 2022, 33(9): 2405-2412.
[13]	邵坤仲, 吕昕培, 李佳吕, 陈佳, 赵玲玉, 任伟, 张金林. 高等植物热激转录因子生物学特性及其在非生物胁迫适应中的作用 [J]. 应用生态学报, 2022, 33(8): 2286-2296.
[14]	谢郁城, 朱自强, 徐基良, 雷维蟠, 陈德, 李东来, 李建强, 张正旺. 石油污染对鸟类的影响及石油污染清洁修复技术的研究进展 [J]. 应用生态学报, 2022, 33(8): 2297-2304.
[15]	杨贵森, 张志山, 赵洋, 石亚飞, 虎瑞. 沙坡头地区凋落物分解及其对土壤微生物群落的影响 [J]. 应用生态学报, 2022, 33(7): 1810-1818.