Evaluating the importance of habitat patches using landscape functional connectivity for grassland in Poyang Lake
ZHANG Cheng1, CHEN Wen-bo2, HUANG Fang-fang3
1. College of Land Resource and Environment, Nanchang Key Laboratory of Landscape and Environment, Jiangxi Agricultural University, Nanchang 330045, China; 2. College of Surveying and Spatial Information Engineering, East China University of Technology, Nanchang 330013, China; 3. School of Civil Engineering and Architecture, Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang 322100, China
Abstract:Taking the grassland of Poyang Lake as a case, and comprehensively considering the ecological processes of water level change and species dispersal, this study firstly identified the range and patch composition of grassland under different water levels. Then, the graph theoretical approach was applied to analyze the dynamics of functional connectivity of grassland with different water levels and dispersal distances. Finally, the delta value for probability of connectivity (dPC) and betweenness connectivity (BC) were respectively used to identify the important grassland patches and key grassland nodes. The grassland presented the characteristics of "expanding when water falls while shrinking when water rises". The grassland patches faced both the segmentation effect and the inundation effect of water. With the increase of water level, the distribution of grassland decreased from 1813.61km2 at the water level of 7.54m to 182.36km2 at the water level of 17.17m, and the fragmentation of large patches and the disappearance of small patches coexisted. From the perspective of water level change, with the increase of water level, the number of links in ecological function between patches decreased, the number of independent components increased, the probability of connectivity decreased, and then the functional connectivity of grassland has progressively decreased. From the perspective of species dispersal, the species dispersal distance had an absolutely positive impact on landscape connectivity. With the increase of dispersal distance, the functional connectivity of grassland increased dramatically. The 124 important grassland patches were identified and mapped. They were all consistently large and primarily distributed in the center of Poyang Lake, especially concentrated in the two national nature reserves. The 16 key grassland nodes were determined and mapped. They were very small in size and mainly scattered in the central and southern margin of Poyang Lake. Giant patches and large patches play an extremely vital role in maintaining the functional connectivity of grassland. However, small patches in a pivotal location can not be ignored as stepping stones or connecting elements.
Liu J J, Wilson M, Hu G, et al. How does habitat fragmentation affect the biodiversity and ecosystem functioning relationship? [J]. Landscape Ecology, 2018,33(3):341-352.
[2]
Rybicki J, Abrego N, Ovaskainen O. Habitat fragmentation and species diversity in competitive communities [J]. Ecology Letters, 2019,23(3):506-517.
[3]
Liu W J, Hughes A C, Bai Y, et al. Using landscape connectivity tools to identify conservation priorities in forested areas and potential restoration priorities in rubber plantation in Xishuangbanna, Southwest China [J]. Landscape Ecology, 2020,35(2):389-402.
[4]
Taylor P D, Fahrig L, Henein K, et al. Connectivity is a vital element of landscape structure [J]. Oikos, 1993,68(3):571-573.
[5]
Tischendorf L, Fahrig L. On the usage and measurement of landscape connectivity [J]. Oikos, 2000,90(1):7-19.
[6]
陈利顶,刘雪华,傅伯杰.卧龙自然保护区大熊猫生境破碎化研究 [J]. 生态学报, 1999,19(3):291-297. Chen L D, Liu X H, Fu B J. Evaluation on giant panda habitat fragmentation in Wolong nature reserve [J]. Acta Ecologica Sinica, 1999,19(3):291-297.
[7]
Sork V L, Smouse P E. Genetic analysis of landscape connectivity in tree populations [J]. Landscape Ecology, 2006,21(6):821-836.
[8]
李雯雯,李 丽,吴巩胜,等.评估不同尺度下农牧地对滇金丝猴景观连接度的影响 [J]. 生态学报, 2016,36(24):8136-8144. Li W W, Li L, Wu G S, et al. Impact evaluation on the Yunnan snub-nosed monkey's habitat in terms of landscape connectivity by agricultural land with consideration at different scale scenarios [J]. Acta Ecologica Sinica, 2016,36(24):8136-8144.
[9]
Goicolea T, Mateo R G, Aroca-Fernandez M J, et al. Considering plant functional connectivity in landscape conservation and restoration management [J]. Biodiversity and Conservation, 2022,31(5/6):1591-1608.
[10]
Pardo J M, Paviolo A, Saura S, et al. Halting the isolation of jaguars: where to act locally to sustain connectivity in their southernmost population [J]. Animal Conversation, 2018,20(6):543-554.
[11]
Shi F N, Liu S L, An Y, et al. Spatio-temporal dynamics of landscape connectivity and ecological network construction in Long Yangxia Basin at the Upper Yellow River [J]. Land, 2020,9(8):265.
[12]
Zuecco G, Rinderer M, Penna D, et al. Quantification of subsurface hydrologic connectivity in four headwater catchments using graph theory [J]. Science of the Total Environment, 2019,646:1265-1280.
[13]
Savary P, Foltete J C, Moal H, et al. Analysing landscape effects on dispersal networks and gene flow with genetic graphs [J]. Molecular Ecology Resources, 2021,21(4):1167-1185.
[14]
欧维新,袁薇锦.基于景观连接度的盐城滨海湿地丹顶鹤生境斑块重要性评价 [J]. 资源科学, 2015,37(4):823-831. Ou W X, Yuan W J. Priority of red-crowned crane wintering habitat patches using landscape connectivity in the Yancheng coastal wetland [J]. Resources Science, 2015,37(4):823-831.
[15]
Blazquez-Cabrera S, Ciudad C, Gaston A, et al. Identification of strategic corridors for restoring landscape connectivity: application to the Iberian lynx [J]. Animal Conservation, 2019,22(3):210-219.
[16]
李景霞,付碧宏.江苏盐城滨海湿地系统格局变化及其对丹顶鹤生境的影响 [J]. 遥感学报, 2021,25(12):2507-2519. Li J X, Fu B H. Pattern change of the coastal wetland system and its dynamic impact on the habitat of red-crowned cranes in Yancheng, Jiangsu Province [J]. National Remote Sensing Bulletin, 2021,25(12): 2507-2519.
[17]
Pereira J, Saura S, Jordan F. Single-node vs. multi-node centrality in landscape graph analysis: key habitat patches and their protection for 20bird species in NE Spain [J]. Methods in Ecology and Evolution, 2017,8(11):1458-1467.
[18]
Liu S L,Yin Y J, Li J R, et al. Using cross-scale landscape connectivity indices to identify key habitat resource patches for Asian elephants in Xishuangbanna, China [J]. Landscape and Urban Planing, 2018,171:80-87.
[19]
张方方,齐述华,廖富强,等.鄱阳湖湿地出露草洲分布特征的遥感研究 [J]. 长江流域资源与环境, 2011,20(11):1361-1367. Zhang F F, Qi S H, Liao F Q, et al. Analysis of distribution features of the emersed grassland in Poyang Lake based on remote sensing [J]. Resources and Environment in the Yangtze Basin, 2011,20(11): 1361-1367.
[20]
Yao X C, Cao Y, Zheng G D, et al. Ecological adaptability and population growth tolerance characteristics of Carex cinerascens in response to water level changes in Poyang Lake, China [J]. Scientific reports, 2021,11(1):4887-4887.
[21]
Luo S Q, Chen W B, Xiong Q B, et al. A study on coupling of the grassland pattern and the flood process in Poyang Lake based on the island biogeography theory [J]. Journal of Water and Climate Change, 2022,13(8):2991-3003.
[22]
Wu H P, Hu X Y, Sun S Q, et al. Effect of increasing of water level during the middle of dry season on landscape pattern of the two largest freshwater lakes of China [J]. Ecological Indicators, 2020,113:106283.
[23]
Li Y L, Zhang Q, Cai Y J, et al. Hydrodynamic investigation of surface hydrological connectivity and its effects on the water quality of seasonal lakes: Insights from a complex floodplain setting (Poyang Lake, China) [J]. Science of the Total Environment, 2019,660:245-259.
[24]
Bai J P, Zhang H, Zhou H K, et al. Winter coexistence in herbivorous waterbirds: Niche differentiation in a floodplain, Poyang Lake, China [J]. Ecology and Evolution, 2021,11(23):16835-16848.
[25]
Diniz, M F, Cushman, S A, Machado, R B et al. Landscape connectivity modeling from the perspective of animal dispersal [J]. Landscape Ecology, 2020,35(1):41-58.
[26]
杜志博,李洪远,孟伟庆.天津滨海新区湿地景观连接度距离阈值研究 [J]. 生态学报, 2019,39(17):6534-6544. Du Z B, Li H Y, Meng W Q. Distance thresholds of wetland landscape connectivity in Tianjin Binhai New Area [J]. Acta Ecologica Sinica, 2019,39(17):6534-6544.
[27]
Sutherland G D, Harestad A S, Price K, et al. Scaling of natal dispersal distance in terrestrial birds and mammals [J]. Conservation Ecology, 2000,4:16-19.
[28]
刘常富,周 彬,何兴元,等.沈阳城市森林景观连接度距离阈值选择 [J]. 应用生态学报, 2010,21(10):2508-2516. Liu C F, Zhou B, He X Y, et al. Selection of distance thresholds of urban forest landscape connectivity in Shenyang City [J]. Chinese Journal of Applied Ecology, 2010,21(10):2508-2516.
[29]
Liu S L, Yin Y J, Li J R, et al. Using cross-scale landscape connectivity indices to identify key habitat resource patches for Asian elephants in Xishuangbanna, China [J]. Landscape and Urban Planning, 2018,171:80-87.
[30]
王海云,匡耀求,文薪荐,等.粤港澳大湾区生态网络构建及廊道优化 [J]. 中国环境科学, 2022,42(5):2289-2298. Wang H Y, Kuang Y Q, Wen X J, et al. Ecological network construction and corridor optimization in Guangdong-Hong Kong-Macao Greater Bay Area [J]. China Environmental Science, 2022, 42(5):2289-2298.
[31]
Coppola P M, Williams C K, Terhune T M, et al. Landscape connectivity influences survival and resource use following long-distance translocation of Northern Bobwhite [J]. The Journal of Wildlife Management, 2021,85(2):369-383.
[32]
Saura S, Torné J. Conefor Sensinode 2.2: A software package for quantifying the importance of habitat patches for landscape connectivity [J]. Environmental Modelling & Software, 2009,24(1): 135-139.
[33]
Day C C, Zollner P A, Gilbert J H, et al. Individual-based modeling highlights the importance of mortality and landscape structure in measures of functional connectivity [J]. Landscape Ecology, 2020, 35(10):2191-2208.
[34]
Dai X, Wan R R, Yang G S, et al. Impact of seasonal water-level fluctuations on autumn vegetation in Poyang Lake wetland, China [J]. Frontiers of Earth Science, 2019,13(2):398-409.
[35]
Thomson F J, Moles A T, Auld T D, et al. Seed dispersal distance is more strongly correlated with plant height than with seed mass [J]. Journal of Ecology, 2011,99(6):1299-1307.
[36]
曹秀凤,刘兆顺,李淑杰,等.基于生态安全格局的国土空间生态修复关键区域识别——以吉林省松原市为例 [J]. 中国环境科学, 2022, 42(6):2779-2787. Cao X F, Liu Z S, Gao Z J, et al. Identification of key areas of ecological protection and restoration based on the pattern of ecological security: A case of Songyuan City, Jilin province [J]. China Environment Science, 2022,42(6):2779-2787.
[37]
David C L, Marzloff M P, Knights A M, et al. Connectivity modelling informs metapopulation structure and conservation priorities for a reef-building species [J]. Diversity and distributions, 2022,28(10): 2056-2070.
[38]
Antongiovanni M, Venticinque E M, Tambosi L R, et al. Restoration priorities for Caatinga dry forests: Landscape resilience, connectivity and biodiversity value [J]. Journal of Applied Ecology, 2022,59(9): 2287-2298.
[39]
Maseko M S T, Zungu M M, Smith D E A, et al. Effects of habitat-patch size and patch isolation on the diversity of forest birds in the urban-forest mosaic of Durban, South Africa [J]. Urban Ecosystems, 2020,23(3):533-542.
[40]
Baranyi G, Saura S, Podani J, et al. Contribution of habitat patches to network connectivity: Redundancy and uniqueness of topological indices [J]. Ecological Indicators, 2011,11(5):1301-1310.
[41]
Nield A P, Nathan R, Enright N J, et al. The spatial complexity of seed movement: Animal-generated seed dispersal patterns in fragmented landscapes revealed by animal movement models [J]. Journal of Ecology, 2020,108(2):687-701.
[42]
Oliver T H, Powney G D, Baguette M, et al. Synchrony in population counts predicts butterfly movement frequencies [J]. Ecological Entomology, 2017,42(3):375-378.
[43]
Thornhill I, Batty L, Hewitt M, et al. The application of graph theory and percolation analysis for assessing change in the spatial configuration of pond networks [J]. Urban Ecosystems, 2018,21(2): 213-225.
[44]
Sahraoui Y, Foltete J C, Clauzel C. A multi-species approach for assessing the impact of land-cover changes on landscape connectivity [J]. Landscape Ecology, 2017,32(9):1819-1835.