CN101968874A - Identification technology of surface-water body vegetation importance value of lake swampiness degree - Google Patents

Identification technology of surface-water body vegetation importance value of lake swampiness degree Download PDF

Info

Publication number
CN101968874A
CN101968874A CN2010102730458A CN201010273045A CN101968874A CN 101968874 A CN101968874 A CN 101968874A CN 2010102730458 A CN2010102730458 A CN 2010102730458A CN 201010273045 A CN201010273045 A CN 201010273045A CN 101968874 A CN101968874 A CN 101968874A
Authority
CN
China
Prior art keywords
plant
degree
vegetation
lake
swampiness
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2010102730458A
Other languages
Chinese (zh)
Inventor
崔保山
李夏
蓝艳
杨其纯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Normal University
Original Assignee
Beijing Normal University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Normal University filed Critical Beijing Normal University
Priority to CN2010102730458A priority Critical patent/CN101968874A/en
Publication of CN101968874A publication Critical patent/CN101968874A/en
Pending legal-status Critical Current

Links

Landscapes

  • Cultivation Of Plants (AREA)

Abstract

The invention relates to an identification technology for confirming the lake swampiness degree importance value of main aquatic vegetation. The invention analyzes and reconstructs factors by researching the decomposition rates of dominant species, objectively identifies the lake swampiness degree importance value of different kinds of aquatic vegetation by combining with the main index of vegetation distribution and confirms dominant marsh plants in a region. Compared with the prior art, the invention effectively integrates the structure and characteristic information of plants in a researched region and improves the regional identification rate. Compared with a traditional method of empowering weighted values by the qualitative analysis of a single plant community for water implementation, the invention more accurately reflects the contribution rates of different plants to the swampiness of grass-type lakes, enhances the scientificity and the rationality of swampiness degree judgment and provides a basis for predicting and controlling the lake swampiness.

Description

The top layer of lakes and swamps degree-water body vegetation importance value identification technique
Technical field
The present invention relates to a kind of identification technique of determining main aquatic vegetation lakes and swamps degree importance value, be by after the analysis to the decomposition of the main hydrophyte in lake, the speed of depositing, the principal character index that distributes with plant combines, reflect the method for different plants, for the bogginess prediction in careless type lake and improvement provide the basis to the bogginess contribution rate.
Background technology
The lake as the body of contacting directly of atmospheric water, surface water and underground water exchange, is very important link in the global hydrology cyclic process.Difference according to the development stage of succession can be divided into the lake careless type lake and algae type lake two big classes.Grass type lake is meant the ecosystem-type with a large amount of aquatic vascular plants, because its pasture and water are abundant, water quality is good, the species Stability Analysis of Structures, and bio-diversity is good, thereby has comparatively superior natural ecosystems service function and higher social economic value.
Under state of nature, careless type lake often needs generally to need more than one thousand years or longer through time slowly for a long time, finishes the lake growth extinction periodic process by poor nutrition-nutrition-eutrophy-bogginess.Yet, in recent years because climate change and interference of human activities have surpassed the ability of regulation and control of careless type lake ecosystem own, havoc the balance of material cycle and energy Flow, cause the hydrophyte undue growth, the lakes and swamps degree is accelerated, and the lakebed alluvial is serious, and bio-diversity is on the hazard, havoc the ecosystem structure of lake and marshland, weakened the Wetland ecological value of services.Therefore, to careless type lakes and swamps deciding degree, predict and be controlled to for the present stage problem demanding prompt solution.
The generation of grass type lakes and swamps may appear at bottom, and the top layer is perhaps in the water body.For the bogginess in top layer and the water body, the main advantage marsh plant of determining to promote the lakes and swamps process; For the bottom bogginess, mainly study the equilibrium relation of swamp vegetation bioaccumulation and decomposition rate.Because the trophic level in lake improves fast, make hygrophyte, emergent aquactic plant, floatingleaved plant and submerged plant progressively cover whole lake surface, increased the biomass of hydrophyte greatly, and its residual body decomposition amount in dead back is far below falling into water body litter semi-invariant, make biofouling serious, the rapid bogginess in lake.Therefore, in the well-developed careless type of aquatic vegetation lake, degree of peat formation not only need be considered the alluvial of silt, also will be in conjunction with the biofouling of aquatic vegetation.In traditional lakes and swamps deciding degree, vegetation alluvial index is normally according to vegetation type, very water, floating leaf, heavy water carried out simple bogginess rank determine that plant classification is thicker, decomposition, the alluvial speed of having ignored different plants are different, thereby cause the discrimination in zone low; Simultaneously, the bogginess contribution rate of each kind of plant of qualitative analysis is carried out weight assignment to it, and subjectivity is more intense, and confidence level is lower, but causes analyzing unilateral, degree of accuracy and practicality reduces.
Summary of the invention
The objective of the invention is: at the architectural feature consideration deficiency definite in the existing lakes and swamps decision technology the vegetation index, the technology of the different plants of a kind of identification to bogginess contribution importance value is provided, by analyzing the decomposition difference of the main aquatic vegetation of top layer-water body, draw the alluvial coefficient of different plants, in conjunction with its distribution characteristics, effectively the different plants of reflection are to the contribution margin of careless type lakes and swamps, thereby strengthen science and rationality that degree of peat formation is judged, but improve prediction and the precise control and the practicality of lakes and swamps.
For achieving the above object, technical scheme of the present invention is: by the research to the decomposition alluvial of the main residual body of hydrophyte in the top layer in careless type lake and the water body, obtain the alluvial coefficient of different plants, and in conjunction with the principal character index of vegetation, vegetation is determined the advantage marsh plant of this area to the importance value of lakes and swamps in the Research on Identification district.
Concrete steps are as follows:
(1) by mainly building the mass-planting quilt in the top layer-water body in on-the-spot investigation Research on Identification zone, determines the overall target of plant distribution characteristics.
For the bogginess type of aquatic vegetation excessive multiplication in top layer and the water body, be its space distribution state of synthesis display, aquatic vegetation is carried out the feature investigation, the investigation index of emergent aquactic plant is height, density, cover degree, frequency and biomass; Group's investigation index of floatingleaved plant is density, cover degree, frequency and biomass; The submerged plant investigation index is frequency and biomass, final overall target (P by distribution characteristics Zzh), i.e. the mean value of each investigation index relative value reflection.
The overall target of plant distribution characteristics is big more, represents the big more at this study area proportion of this kind of plant, also may be big more to the contribution of degree of peat formation.
(2) carry out field trial or literature survey, determine mainly to build the residual body coefficient of dissociation of mass-planting thing.
Pertinent literature shows that the resolution ratio of plant residue meets unsophisticated logarithmic equation, that is:
In(M t/M 0)=-kt (1)
M wherein t(g) and M 0(g) be respectively plant weight and plant initial weight in the time of t days, k is a coefficient of dissociation, and coefficient of dissociation is more little, illustrates to reduce fewly more in search time implants quality, and plant is difficult decomposes.
Therefore the mass-planting thing of mainly building of research area is carried out decomposition experiment on the spot, simulate the decomposable process that rots naturally of aquatic plant residue, the reduction of periodic monitor plant is perhaps carried out the pertinent literature investigation, determines the coefficient of dissociation of plant.
(3) utilize the residual body coefficient of dissociation of step (2), carry out the factor and rebuild, the importance value and the advantage marsh plant of the degree of peat formation of different plants determined in identification.
Change the plant coefficient of dissociation of gained, obtain the relative biofouling coefficient (A) of different plants:
A i = 1 / ( k i × Σ n = 1 m 1 / k n ) - - - ( 2 )
I, n=1,2 ..., m, wherein 1,2 ..., on behalf of the difference in 1~m kind study area, m build the mass-planting thing.
In the bogginess process in lake, have only and consider that simultaneously plant distributes and the alluvial ability, the reflection plant of science is to the contribution rate of bogginess more, so the importance value (W of the top layer of lakes and swamps degree-water body vegetation Zzh) be:
W zzhi = A i × P zzhi / Σ n = 1 m A n × P zzhn - - - ( 3 )
I, n=1,2 ..., m, wherein 1,2 ..., on behalf of the difference in 1~m kind study area, m build the mass-planting thing.The importance value maximum become this regional advantage marsh plant.
Characteristic of the present invention is: because the top layer-water body in the different careless types lake is built mass-planting by group's difference to some extent, plant is decomposed alluvial speed and exists than big-difference, carry out the reconstruction of vegetation index by coefficient of dissociation after, consider Plant Diversity with plant distribution prerequisite under, determine the vegetation importance value of degree of peat formation, can improve regional susceptibility, obtain being more suitable for the vegetation index that the survey region vegetation is formed and the degree of peat formation of feature is predicted.
Embodiment
Below by example the technology of the present invention is carried out specific description:
(1) determines mainly to build the mass-planting thing in the top layer-water body of survey region by identification on the spot, determine the overall target of plant distribution characteristics.
Study area is the careless type of Haihe basin lake, by investigation, determines that the mass-planting thing of mainly building in this zone is: emergent aquactic plant-reed, cattail; Floatingleaved plant-He; Heavy water is planted-Potamogeton pectinatus L, hornwort.The overall target of each plant distribution characteristics is as shown in the table:
Table 1 is mainly built the overall target of mass-planting thing distribution characteristics
Figure BSA00000257940900032
(2) carry out field trial or literature survey, determine mainly to build the residual body coefficient of dissociation of mass-planting thing.
Get decline phase and build the mass-planting thing and simulate on the spot and decompose experiment, draw this lake mainly to build group plant residue coefficient of dissociation as shown in the table:
Table 2 is mainly built the coefficient of dissociation of group plant residue
Figure BSA00000257940900033
(3) utilize the residual body coefficient of dissociation of step (2), carry out the factor and rebuild, the importance value and the advantage marsh plant of the degree of peat formation of different plants determined in identification.
Residual body coefficient of dissociation to plant transforms, and draws plant alluvial coefficient A to be:
Table 3 is mainly built the alluvial coefficient of mass-planting thing
Figure BSA00000257940900034
According to the principal character index of building the mass-planting thing and the alluvial coefficient of gained, the vegetation importance value of determining this lakes and swamps degree is shown in the following table, and definite reed is the advantage marsh plant on this ground:
The top layer of table 4 lakes and swamps degree-water body vegetation importance value
Figure BSA00000257940900041

Claims (4)

1. the top layer of lakes and swamps degree-water body vegetation importance value identification technique, it is characterized in that phytometer being rebuild by the coefficient of dissociation of different plants, and diversity and the distributed intelligence of consideration plant, the importance value of identification and definite vegetation obtains being more suitable for the vegetation index that image study zone vegetation is formed and the degree of peat formation of feature is predicted.According to claims 1 described method, its concrete characterization step is as follows:
(1) by mainly building the mass-planting quilt in the top layer-water body in on-the-spot investigation Research on Identification zone, determines the overall target of plant distribution characteristics.
(2) carry out field trial or literature survey, determine mainly to build the residual body coefficient of dissociation of mass-planting thing.
(3) utilize the residual body coefficient of dissociation of step (2), carry out the factor and rebuild, the importance value and the advantage marsh plant of the degree of peat formation of different plants determined in identification.
2. according to claims 2 described methods, it is characterized in that: the distribution overall target is meant that the investigation index of emergent aquactic plant is height, density, cover degree, frequency and biomass in the step (1); Group's investigation index of floatingleaved plant is density, cover degree, frequency and biomass; The submerged plant investigation index is frequency and biomass, final overall target (P by distribution characteristics Zzh), i.e. the mean value of the relative value of each investigation index reflection.
3. according to claims 2 described methods, it is characterized in that: the plant residue of getting is the decline phase plant in the step (2).
4. according to claims 2 described methods, it is characterized in that: the unsophisticated logarithmic equation of definite selection of plant coefficient of dissociation in the step (2).
CN2010102730458A 2010-09-06 2010-09-06 Identification technology of surface-water body vegetation importance value of lake swampiness degree Pending CN101968874A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010102730458A CN101968874A (en) 2010-09-06 2010-09-06 Identification technology of surface-water body vegetation importance value of lake swampiness degree

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010102730458A CN101968874A (en) 2010-09-06 2010-09-06 Identification technology of surface-water body vegetation importance value of lake swampiness degree

Publications (1)

Publication Number Publication Date
CN101968874A true CN101968874A (en) 2011-02-09

Family

ID=43548024

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010102730458A Pending CN101968874A (en) 2010-09-06 2010-09-06 Identification technology of surface-water body vegetation importance value of lake swampiness degree

Country Status (1)

Country Link
CN (1) CN101968874A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102511257A (en) * 2011-11-15 2012-06-27 北京师范大学 Regulating and controlling method for bogginess of grass type shallow lake based on synergic decomposing effect of plant residues
CN102542259A (en) * 2011-12-29 2012-07-04 宁波工程学院 Identification method for near-shore on-land water body

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102511257A (en) * 2011-11-15 2012-06-27 北京师范大学 Regulating and controlling method for bogginess of grass type shallow lake based on synergic decomposing effect of plant residues
CN102542259A (en) * 2011-12-29 2012-07-04 宁波工程学院 Identification method for near-shore on-land water body
CN102542259B (en) * 2011-12-29 2013-08-07 宁波工程学院 Identification method for near-shore on-land water body

Similar Documents

Publication Publication Date Title
Tremblay et al. Global and regional drivers of nutrient supply, primary production and CO2 drawdown in the changing Arctic Ocean
Liu Continental margin carbon fluxes K.-K. Liu, K. Iseki and S.-Y. Chao
Cullen The deep chlorophyll maximum: comparing vertical profiles of chlorophyll a
Katz Controls on distribution of lacustrine source rocks through time and space: Chapter 4
Morabito et al. Plankton dynamics across the freshwater, transitional and marine research sites of the LTER-Italy Network. Patterns, fluctuations, drivers
Fasham Ocean biogeochemistry: the role of the ocean carbon cycle in global change
Lévy et al. Simulation of primary production and export fluxes in the Northwestern Mediterranean Sea
Salmaso et al. Phytoplankton and anthropogenic changes in pelagic environments
Markelov et al. Coupling water column and sediment biogeochemical dynamics: Modeling internal phosphorus loading, climate change responses, and mitigation measures in Lake Vansjø, Norway
Hense et al. Modelling cyanobacteria in shallow coastal seas
Onandia et al. Towards the development of a biogeochemical model for addressing the eutrophication problems in the shallow hypertrophic lagoon of Albufera de Valencia, Spain
Xu et al. Less nutrients but more phytoplankton: Long-term ecosystem dynamics of the southern North Sea
Longhini et al. Net ecosystem production, calcification and CO2 fluxes on a reef flat in Northeastern Brazil
Jin et al. A long term calibration and verification of a submerged aquatic vegetation model for Lake Okeechobee
Tian et al. Seasonal dynamics of coastal ecosystems and export production at high latitudes: a modeling study
de Souza Cardoso et al. Hydrodynamic control of plankton spatial and temporal heterogeneity in subtropical shallow lakes
Pedraza Garzon et al. Ecology of the diatom Aulacoseira pusilla in oligotrophic mountain lakes, with implications for paleoclimate reconstructions
Verity et al. The Ocean Margins Program: An interdisciplinary study of carbon sources, transformations, and sinks in a temperate continental margin system
CN101968874A (en) Identification technology of surface-water body vegetation importance value of lake swampiness degree
Oguz et al. Interdisciplinary studies integrating the Black Sea biogeochemistry and circulation dynamics
Buzzelli et al. Dynamic simulation of littoral zone habitats in low Chesapeake Bay. II. Seagrass habitat primary production and water quality relationships
Sorvari Climate impacts on remote subarctic lakes in Finnish Lapland: Limnological and palaeolimnological assessment with a particular focus on diatoms and Lake Saanajärvi
Fakiris et al. Improved predictive modelling of coralligenous formations in the Greek Seas incorporating large-scale, presence–absence, hydroacoustic data and oceanographic variables
Zhang et al. A review of wind-driven hydrodynamics in large shallow lakes: Importance, process-based modeling and perspectives
Little et al. Conceptual hierarchical modeling to describe wetland plant community organization

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Open date: 20110209