1. 西北农林科技大学资源环境学院, 陕西 杨凌,712100
2. 西北农林科技大学黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西 杨凌,712100
[ "韩庆功(1996-),男,在读硕士研究生,主要从事植被生态恢复与环境保护研究。E-mail:qingdaohqg@163.com" ]
纸质出版:2021
移动端阅览
韩庆功, 彭守璋. 黄土高原潜在自然植被空间格局及其生境适宜性[J]. 水土保持学报, 2021,35(5):188-193.
HAN Qinggong, PENG Shouzhang. Spatial Pattern and Habitat Suitability of Potential Natural Vegetation in the Loess Plateau[J]. 2021, 35(5): 188-193.
韩庆功, 彭守璋. 黄土高原潜在自然植被空间格局及其生境适宜性[J]. 水土保持学报, 2021,35(5):188-193. DOI: 10.13870/j.cnki.stbcxb.2021.05.026.
HAN Qinggong, PENG Shouzhang. Spatial Pattern and Habitat Suitability of Potential Natural Vegetation in the Loess Plateau[J]. 2021, 35(5): 188-193. DOI: 10.13870/j.cnki.stbcxb.2021.05.026.
植被生态系统的恢复越来越多地受到全球各界关注,潜在自然植被(potential natural vegetation,PNV)和生境适宜性概念应纳入植被规划,作为植被恢复的参考依据。基于高空间分辨率气候数据,使用动态植被模型(LPJ-GUESS),揭示黄土高原2001—2020年PNV空间格局及其生境适宜性的动态演变,并界定了植被优先恢复区。结果表明:黄土高原的PNV以草地和森林为主,潜在草地主要集中在北部、西北部地区(约占73.23%),潜在森林主要分布在南部地区(约占26.16%),极少的裸地主要分布在西部高海拔山区;在潜在森林中,温带落叶阔叶林、寒温性常绿针叶林、温带常绿针叶林占比分别为22.28%,3.88%,0.01%;随着气候变化的推进,潜在森林面积有所下降,而潜在草地面积有些许增加。PNV的生境适宜性呈现西北低、南部及东南高的分布,其中,分布在黄土高原南部平原地带的潜在温带落叶阔叶林其生境适宜性较高,而分布在北部及东北部的潜在草地其生境适宜性较低;并且,对于每种PNV类型,其最高生境适宜性所占据的地理空间及优先恢复区有较大差异。研究结果可为黄土高原植被恢复重建提供科学依据。
Global concern about the restoration and reconstruction of vegetation ecosystems has increased
thus the concepts of potential natural vegetation (PNV) and habitat suitability should be integrated into revegetation programs to achieve sustainable ecosystems. Based on high spatial resolution climate data
this study revealed the dynamic evolution of spatial pattern and habitat suitability of PNV during 2001-2020 in the Loess Plateau (LP) using a dynamic vegetation model (LPJ-GUESS)
and identified the vegetation priority restoration area. The results showed that the main PNV in the LP were grassland and forest
and potential grassland was mainly distrubuted in the north and northwest regions (about 73.23% of LP area)
while potential forest was mainly located in the south (about 26.16% of LP area)
and very few barren ground was mainly distributed in the western high-altitude mountains. Among the potential forests
temperate deciduous broad-leaved trees
cold temperate evergreen coniferous forest and temperate evergreen coniferous trees accounted for about 22.28%
3.88% and 0.01%
respectively. With the advance of climate change
the area of potential forest had decreased
while the area of potential grassland hand increased slightly. The habitat suitability of PNV was low in the northwest
high in the south and southeast. The potential temperate deciduous broad-leaved trees distributed in the southern plain of the LP had higher habitat suitability
while the potential grassland distributed in the northern and northeastern LP had lower habitat suitability. For each kind of PNV
the geographical space and priority restoration area occupied by its highest habitat suitability were significantly different. These reaserch results could provide a scientific basis for vegetation restoration and reconstruction in the Loess Plateau.
沈国舫.植被建设是我国生态环境建设的主题:兼论黄土高原地区的植被建设//中国林学会.西北地区生态环境建设研讨会.北京:中国林业出版社, 2000:20-24.
Li J J, Peng S Z, Li Z. Detecting and attributing vegetation changes on China's Loess Plateau[J]. Agricultural and Forest Meteorology, 2017, 247:260-270.
Chen Y P, Wang K B, Lin Y S, et al. Balancing green and grain trade[J]. Nature Geoscience, 2015, 8(10):739-741.
Feng X M, Fu B J, Piao S L, et al. Revegetation in China's Loess Plateau is approaching sustainable water resource limits[J]. Nature Climate Change, 2016, 6(11):1019-1022.
Tüxen R. Die heutige potentielle naturliche Vegetation als Gegenstand der Vegetationskartierung[J]. Beriche zur deutschen Landeskunde, 1956, 19:200-246.
刘华民, 吴绍洪, 郑度, 等.潜在自然植被研究与展望[J]. 地理科学进展, 2004, 23(1):62-70.
赵传燕, 冯兆东, 南忠仁, 等.黄土高原祖厉河流域潜在植被分布模拟研究[J]. 地理学报, 2007, 62(1):52-61.
彭守璋, 赵传燕, 许仲林, 等.黑河上游祁连山区青海云杉生长状况及其潜在分布区的模拟[J]. 植物生态学报, 2011, 35(6):605-614.
车明亮, 陈报章, 王瑛, 等.全球植被动力学模型研究综述[J]. 应用生态学报, 2014, 25(1):263-271.
Hickler T, Vohland K, Feehan J, et al. Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species-based dynamic vegetation model[J]. Global Ecology and Biogeography, 2012, 21(1):50-63.
Peng S Z, Yu K L, Li Z, et al. Integrating potential natural vegetation and habitat suitability into revegetation programs for sustainable ecosystems under future climate change[J]. Agricultural and Forest Meteorology, 2019, 269:270-284.
Peng S Z, Li Z. Potential land use adjustment for future climate change adaptation in revegetated regions[J]. Science of the Total Environment, 2018, 639:476-484.
任婧宇, 彭守璋, 曹扬, 等.1901-2014年黄土高原区域气候变化时空分布特征[J]. 自然资源学报, 2018, 33(4):621-633.
Peng S Z, Ding Y X, Liu W Z, et al. 1 km monthly temperature and precipitation dataset for China from 1901 to 2017[J]. Earth System Science Data, 2019, 11(4):1931-1946.
Wolf A, Callaghan T, Larson K. Future changes in vegetation and ecosystem function of the Barents Region[J]. Climatic Change, 2007, 87:51-73.
Smith B, Wårlind D, Arneth A, et al. Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model[J]. Biogeosciences, 2014, 11(7):2027-2054.
杨冰.基于不同分类方法土地利用/覆盖分类精度分析[D].呼和浩特:内蒙古农业大学, 2008.
胡胜, 曹明明, 邱海军, 等.CFSR气象数据在流域水文模拟中的适用性评价:以灞河流域为例[J]. 地理学报, 2016, 71(9):1571-1586.
徐丽萍.黄土高原地区植被恢复对气候的影响及其互动效应[D].陕西杨凌:西北农林科技大学, 2008.
Li G Q, Wen Z M, Guo K, et al. Simulating the effect of climate change on vegetation zone distribution on the loess plateau, Northwest China:Forests[J]. 2015, 6(6):2092-2108.
Peng S Z, Li Z. Incorporation of potential natural vegetation into revegetation programmes for sustainable land management[J]. Land Degradation and Development, 2018, 29(10):3503-3511.
Hirzel A H, Le Lay G. Habitat suitability modelling and niche theory[J]. Journal of Applied Ecology, 2008, 45(5):1372-1381.
Bean W T, Prugh L R, Stafford R, et al. Species distribution models of an endangered rodent offer conflicting measures of habitat quality at multiple scales[J]. Journal of Applied Ecology, 2014, 51(4):1116-1125.
Peng S Z, Zhao C Y, Xu Z L, et al. Restoration and conservation potential of destroyed Qinghai spruce (
Picea crassifolia
) forests in the Qilian Mountains of northwest China[J]. Mitigation and Adaptation Strategies for Global Change, 2016, 21(2):153-165.
0
浏览量
935
下载量
5
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621