ebook img

biodiversity and phytosociological studies of upstream and downstream riparian areas of pakistan PDF

18 Pages·2016·0.65 MB·English
by  
Save to my drive
Quick download
Download
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.

Preview biodiversity and phytosociological studies of upstream and downstream riparian areas of pakistan

Pakistan J. Agric. Res. Vol. 28 No.4, 2015 BIODIVERSITY AND PHYTOSOCIOLOGICAL STUDIES OF UPSTREAM AND DOWNSTREAM RIPARIAN AREAS OF PAKISTAN: SPECIAL REFERENCE TO TAUNSA WILDLIFE SANCTUARY AND KETI SHAH FORESTS Raja Zoq-ul-Arfeen*, Aamir Saleem*, Sarwat Naz Mirza*, Muhammad Akmal**, Hafiz Muhammad Tayyab* and Obaid Afzal*** ABSTRACT:- Pakistan riparian zone mostly belongs to Sindh and Punjab provinces and prone to climatic problems and anthropogenic activities. The research was conduct to estimate and compare the structure and composition of riverine floral diversity in low riparian zone of River Indus. The data was collected from Keti Shah forest and Taunsa wildlife sanctuary. Total 14259 plants/individuals were recorded, which belong to 54 plant species with 18 different families. In Taunsa pre-monsoon survey, total 30 plant species were found with 4476 plants from 16 different families. In Taunsa post-monsoon survey total 3348 individuals were recorded from 20 plant species and 9 families. Similarly, in Keti Shah forest, total 3975 individual were recorded from 22 species and 11 families during the pre-monsoon season and 2460 plants were recorded in post-monsoon season, belonging to 16 species and 10 families. These species mostly belong to Fabaceae, Poaceae, Cyperaceae and Asclepiadaceae. Different phytosociological parameters indicate Tamarix dioca, Cynodon dactylon, Desmostachya bipinnata, Imperata cylindrica, Fimbristylis hispidula, Acacia nilotica, Phragmites karka, Tamarix sp. and Saccharum bengalense as dominant species. The biodiversity in upstream and downstream areas were rich in pre-monsoon season in comparison to post-monsoon season in surveyed areas. This study is useful for management of the area in the future as conservation strategies can be made through considering the adaptive tree species in future plantation and endangered species can be conserved. Key Words: Keti Shah Forest; Taunsa Wildlife Sanctuary; Biodiversity; Phytosociology; Life Forms; Riparian Forest; River Indus; Pakistan. INTRODUCTION process of riverine ecosystem especially in relation to abiotic There is increasing interest in the factors. The linkage between the river importance of rivers ecologically, paths and wetlands creates “boom” geomorphologically, hydrologically and “bust” ecology (Jenkins and and environmentally. The scientific Boulton, 2003). literature on riverine ecosystem is Diversity of Pakistan is dis- rapidly expanding (Van der Velde et tinctive as the country shelters three al., 2004). The available literature bio-geographic realms i.e., the Indo- highlights the fluvial and structuring Malayan; Palaearctic and Africo- * Department of Forestry and Range Management, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan. ** Department of Soil Science and Soil Water Conservation, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan. *** Department of Agronomy, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan. Corresponding author: [email protected] 377 RAJA ZOQ-UL-ARFEEN ET AL. tropical (UNEP, 1995). About two-third western part of Punjab in Tehsil Kot of the country is mountainous and Addu district Muzaffargarh was built rapid changes in altitude aggravate over river Indus in 1958. Taunsa differences in diversity within short Barrage wildlife sanctuary comprises distances. Pakistan includes variety alluvial plains of fine to grained soil of terrestrial ecosystems within 18 dominated with deposits of calcar- major geographical zones i.e., eous nature. A wildlife sanctuary at permanent snowfield and cold desert, Taunsa Barrage was declared during alpine meadow, subalpine scrub and 1978 under Punjab Wildlife Act 1974. birch forest, dry temperate coniferous Its total area is 2834 ha (WWF, 2014). forest, Himalayan moist temperate Its wildlife sanctuary is worldwide forest, sub-tropical pine forest, tropical famous for habitat of Indus blind deciduous forest, steppic forest in the dolphin (Platanista minor). The climate Northern latitude, intermediate and of the area is arid with extremely hot the Southern latitude, monsoon- summers (39-46 oC during June) and influenced arid sub-tropical, less mild winters (5-19 oC). The average pronounced monsoon influenced, annual rainfall is about 200 mm of Balochistan desert scrub, Indus which 80% is received in summers. plains, sand dunes, inundation Relative humidity in the area varies (seepage and swamp) zones, riverine from 25% to 88%. The wind velocity tract and littoral (inter-tidal) zone. In remains around 15-30 km h-1; addition, a number of different agro- however, during summers it exceeds ecosystems have been created through up to 30-35 km h-1 with dust storms the conversion of natural habitats for and haze. The wind directions are agricultural use (Roberts, 1997). from north to south or from north- Riparian zones possess an west towards south-east. It often turns unusualy diverse array of species and to storm during summer months environmental processes. The eco- (Khurshid and Chaudhry, 1998). logical diversity is related to variable Keti Shah forest is situated in the flood regimes; geographically unique vicinity of Sukkur city, Sindh, channel processes, altitudinal climate Pakistan. Sukkur district covers shifts and upland influences on the 5165 km2, 27º 43´21.63´´ N and 68º fluvial corridor. The resulting dynamic 50´ 40.94´´ E on map. It shares environment supports life-history northern border with Shikarpur and strategies, biogeochemical cycles and Kashmore districts, southern border organisms adapted to disturbance with Khairpur districts, north-eastern regimes over broad spatial and border with Ghotki and eastern temporal scales. Riparian zones play border with India. Climatically, It has essential roles in managing riparian hot climate and with temperature vegetation, water and landscaping range of 6º-46ºC during the year. Keti planning, in restoration of aquatic Shah forest (7346 ha) is a part of the systems and in catalyzing institutional riverine forest ecosystem in Sukkur. and societal cooperation for these The species composition in low lying efforts (Gregory et al., 1991; Naiman frequently inundated areas comprises and Décamps, 1997; Rood et al., 2007). Acacia nilotica and mixture of Acacia Taunsa Barrage situated at 31o nilotica and other species including 31' N and 70o 51' E in the south- Prosopis cineraria, Tamarix spp. and 378 BIODIVERSITY AND PHYTOSOCIOLOGICAL STUDIES Populus euphratica (WWF, 2013). MATERIALS AND METHOD Siddiqui et al. (2010) have examined quantitative vegetation of Sampling Technique temperate coniferous forest of The study area (Taunsa wildlife Himalayan region of Pakistan. They sanctuary and Keti Shah forest) was separated vegetation into different surveyed once during pre and post- groups. Group I was dominated by monsoon seasons using the line Pinus wallichiana stand; group II was intercept method (Canfield, 1941; Kent dominated by Abies pindrow and and Coker, 1992; Mueller-Dombois group III was dominated by Cedrus and Ellenberg, 2013). Due to dense deodara. In Keenjhar Lake District vegetation transect line of 50 m was Sindh seven plant communities were used to sample the study area (Canfield, dominated which includes Tamarix 1941) and by placing 1 m2 quadrat at sarenensis, Populus euphratica and alternate sides after 10 m interval on Luffa echinata (Akbar et al., 2010). the same transect. For woody plant- Shah and Hussain (2009) analyzed 5 ation, 10 m × 10 m quadrat was used on plant communities, each having its same transect line after 20 m interval. own species composition in Hayat Transects were ran-domly distributed Abad, District Peshawar. They all over the area using Geographical described Poaceae, Brassicaceae, Information System maps of the area. Solanaceae and Asteraceae as richest families. In life forms, therophytes Plant Collection and Identification dominates cryptophytes and in leaf During the field survey each floral size spectra Microphyllous dominates species was collected and identified were studied more (40%) than lepto- with the help of available literature on phylls (22%). Edaphic and phyto- Identification and Standard Nomen- sociological parameters of south clature from Department of Botany, Waziristan vegetation during autumn Karachi University, Pakistan. A season. They report great variation in complete floristic list along with biomass production due to difference families was compiled according to in air and soil temperature were the Standard Nomenclature (Ali and noticed. Moreover, the original Qaiser, 1997-2010; Nasir and Ali, vegetation was altered due to over 1971-1996; Stewart, 1972). grazing and deforestation. In another study in Pirghar hills South Waziristan Phenology agency reported by life form and leaf The phenological observations form on the basis of altitude were recorded during the vegetation difference. They reported that original sampling and plants were classified woody species present on the hills are into (a) seedling stage (young and pre- mainly isolated due to degradation. flowering), (b) flowering, (c) fruiting Since there was no previous study and (d) dormant (fruiting or life cycle that reports the phytosociological completed). These observations were perspectives of Taunsa wildlife made according to Fenner (1998) and sanctuary and Keti Shah forest of Ahrends et al. (2008). Pakistan, the present study was conducted to delineate both the plant Life Form (Biological Spectrum) communities of low riparian zones. The life form classes and their 379 RAJA ZOQ-UL-ARFEEN ET AL. percentage in each community was Density based upon Raunkiaer (1934). Density of plant species were Hussain and Malook (1984) and obtained by dividing total number of Mueller-Dombois and Ellenberg individuals of the species in all the (2013). The major classes were: (a) quadrats by the total number of Phanerophytes (P): Tree and shrub quadrats examined (Hendry and species in which the buds are borne Grime, 1993). 0.25cm-2.00 m above ground surface; (b) Chamaephytes (Ch): Number of individuals Their perennating buds are situated of a species Density = (3) 25 cm above ground surface; (c) Total number of quadrats Hemicryphotophytes (H): Herbaceous perennials whose aerial portion die at After calculating the density; the the end of growing season leaving relative density was calculated using perennating bud at or just beneath formula: ground surface; (d) Cryptophytes (C): Species density Plant buds are situated below ground Relative density = x 100 (4) Density of all surface as bulb; tuber; rhizome etc. species and (e) Therophytes (Th), seed producing plants who complete their Cover life cycle in one year. Cover is the perpendicular pro- jection of crown or shoot of a species Phytosociological Studies to the ground surface measured as a The following phytosociological fraction or percentage of a surface attributes were measured from each area (Hendry and Grime, 1993). The site during field data collection. cover was calculated using formula: Frequency Species total length It is the percentage of sampling of intercept Cover = x 100 (5) plots in which a given species occurs Total transect length and shows the distribution and occurrence of the species. It was The relative cover was calculated determined according to Hendry and using formula: Grime (1993). Using following formula: Total length of a Number of quadrats in species intercept which species occure Relative cover = x 100 (6) All species intercept Frequency = x 100 (1) Total number of length quadrats Importance Value Later, the relative frequency was The measure of relative domi- calculated using formula: nance of species in a particular forest community is the importance value Frequency of a (IV) and was estimated by following species the method of Curtis and McIntosh Relative frequency = x 100 (2) (1950) and Stephenson and Adams Total frequency of all species (1986). 380 BIODIVERSITY AND PHYTOSOCIOLOGICAL STUDIES IV = Relative frequency + Relative families. evaluated the riparian forest density + Relative cover (7) in Sindh province of Pakistan. The important riparian species in the Summed Dominance Ratio evaluated province was Acacia Summed Dominance Ratio (SDR) arabica, Dalbergia sissoo; Tamarix was estimated using data from spp., Salix sp., Morus alba, Populus importance values according to euphratica and other Populus species. Kobayashi et al. (2003) . Phenology Importance value The vegetation within the riparian SDR= (8) 3 zone performs an important ecological function for in-stream processes. RESULTS AND DISCUSSION Large scale disturbances; such as high water flows and flooding, are The study evaluates the dyna- likely to be important factors in the mics of riverine flora of low riparian dynamics of the riparian community zone in Taunsa wildlife sanctuary and (Barnes, 1985; Bradley and Smith, Keti Shah forest during pre and post- 1986; Johnson, 1994). The pheno- monsoon seasons. Total 240 transect logical observations were recorded lines of 50 m were laid in evaluated during the vegetation sampling and forest areas and data regarding plant plants were classified into; (a) species and phytosociological studies seedling (young and pre-flowering) (b) were recorded. flowering (c) fruiting and (d) dormant (fruiting or life cycle completed). Floristic Composition During pre-monsoon in Taunsa Total 14259 plants were recorded, wildlife sanctuary, out of 30 plant belonging to 54 plant species with 18 species total 19, 7, 2 and 2 plants different families. In Taunsa pre- were on flowering, seedling, fruiting monsoon survey, 30 plant species with and dormant stages, respectively while 4476 plants from 16 different families during post-monsoon season 9, 7, 3 were recorded. They belongs to and 1 species were on stage above Poaceae, Fabaceae and Asteraceae. mentions, respectively (Figure 1). In While, in Taunsa post-monsoon Keti Shah forest during pre-monsoon survey, 3348 plants of 9 different season, 13, 5 and 4 species were on families and 20 species were found flowering, seedling and dormant stages, belonging to Poaceae, Cyperaceae respectively. While in post-monsoon and Asclepiad-aceae. season, 7, 4, 4 and 1 species were on In Keti Shah forest, 6435 plants fruiting, flowering, dormant and were surveyed, and 22 plant species seedling stage, respectively (Figure 1). were recorded that belong to 11 Different plant species within a different families. During pre- community may share phenological monsoon season, 3975 plants were patterns. These may share some of their recorded that mainly belongs to morphological and physiological Fabaceae, Asteraceae and Poaceae adaptations and also some have while in post-monsoon season 2460 similar patterns in phenology because plants were surveyed that belongs to of close phylogeny (Wright and 16 plant species with 10 different Calderon, 1995) Marques et al. (2004). 381 RAJA ZOQ-UL-ARFEEN ET AL. pointed out that phenologies in In comparison which to Keti Shah Araucaria forest in Southern Brazil is forest during pre-monsoon season associated with the climatic variables, species comprised 6 chamaephytes, 5 day length and temperature and to phanerophytes, 5 cryptophytes, 4 some extent with rainfall. therophytes and 2 hemicryptophytes. Similarly, in post-monsoon season, 6 Life Forms phanerophytes, 4 chamaephytes, 3 Biological spectrum of vegetation cryptophytes, 2 hemicryptophytes is the index of the phytoclimate of the and 1 therophyte species were site, deduction of which is based on recorded (Figure 2). different life-forms composing the Bouri and Mukherjee (2011) flora of the site. The life-form in its studied the biological spectrum in turn is the ultimate manifestation of tropical deciduous Sal forest in the sum of all the adaptations Bankati Gram Panchayat area under undergone by a plant to the climate in Durgapur Forest Range, Burdwan which it resides. Raunkiaer (1934) District, West Bengal based on 71 proposed the term “Biological plant species of angiosperms revealed Spectrum” to express both the life- that out of hundred species of its form distribution in a flora and the flora, 63.38 are phanerophytes, 1.41 phytoclimate under which the chamaephytes, 8.45 cryptophytes, prevailing life-forms evolved. The life 7.04 hemicryptophytes and 19.72 forms of Taunsa wildlife sanctuary in therophytes. The phytoclimate appears pre-monsoon season, revealed 9 to be of phanerotherophytic type. The therophytes; 7 phanerophytes; 7 recent studies recommends vegeta- chamaephytes; 4 cryptophytes and 3 tion spectrum when working at hemicryptophytes (Figure 2). Whereas, smaller scales, due to under repre- in post-monsoon season 5 phanero- sentation of therophytic population phytes, 5 cryptophytes, 5 hemicrypto- and overrepresentation of phanero- phytes, 4 therophytes and 1 specie phytes (Batalha and Martins, 2002). belongs to chamaephyte was recorded. Also the vegetation biological spectrum 25 Seedling (S) Flowering (FL) Fruiting (Fr) Dormant 20 19 s e15 ci 13 e p S t 10 9 n a 7 7 7 Pl 5 4 4 4 5 3 2 2 1 1 0 Taunsa Pre-Monsoon Taunsa Post-Monsoon Keti Shah Pre-Monsoon Keti Shah Post-Monsoon Phenological Stages Figure 1. Plant phenology from different seasons in Taunsa Wildlife Sanctuary and Keti Shah Forest 382 BIODIVERSITY AND PHYTOSOCIOLOGICAL STUDIES 10 Taunsa Pre-Monsoon Taunsa Post-Monsoon 9 9 Ketishah Pre-Monsoon Ketishah Post-Monsoon 8 7 7 7 6 6 s cie 6 e 5 5 5 5 5 p S 5 t 4 4 4 4 n a 4 Pl 3 3 3 2 2 2 1 1 1 0 Phanerophytes (P) Chamaephytes (Ch) Cryptophytes (Cr) Hemicryptophytes Therophytes (Th) (H) Life Forms Figure 2. Plant life forms of Taunsa Wildlife Sanctuary and Keti Shah Forest in pre and post-monsoon seasons is more readily comparable to biolo- the pre-monsoon season was 59.17% gical spectra similarly constructed for for the Cynodon dactylon. Similarly, other sites. The biological spectra of Saccharum spontananeum followed different regions of India have been by Cynodon dactylon with 51.67% worked out by Meher-Homji (1964) and 20.04 relative frequency. Pandey and Parmar (1993) Pattanaik Tamarix dioca was found with the et al. (2007): Rana et al. (2002) Reddy 40.84% and 16.7 relative frequency. et al. (2002) Sharma and Dhakre In Acacia nilotica frequency was (1993). Thus the biological spectrum 15.84% and 6.21 relative frequency. of different regions may be worked Average minimum frequency of out and used to compare the widely 0.83% was calculated for the Conyza separated plant communities in camadasis, Dalbergia sissoo, Eclipta terms of their climatic adaptbility. prostrata, Lythyrus aphaca, Mentha sp, Oxystlma esculentum, Ranunca- Phytosociological Studies lus muricatus and Zizyphus mauri- These are essential for protecting tiana. Similarly, the least values of the the natural plant communities and relative frequencies were observed for biodiversity as well as understanding the same plant species as for the changes experienced in the past minimum frequency (Figure 3). and continuing on into the future. Average maximum frequency of Phytosociological parameters, like the each species during post-monsoon frequency, density and cover, calcula- season was calculated as 45.84% for ted for each study site were as follows: Saccharum spontaneum with the relative frequency value of 20.31 Taunsa Wildlife Sanctuary followed by Tamarix dioca and Cynodon Frequency dactylon with 37.50% and 30.34% Average maximum frequency in frequency, respectively. Average mini- 383 RAJA ZOQ-UL-ARFEEN ET AL mum frequencies were recorded for y a r EAcruhnindooc load ocnrauxs,g aClliy, pLearuunse ar opturoncduums-, atnaatitirua ctua 2s2C0evSgCa0coadTc(fRspdwdOwwA1adadDwabo1aoipufnlnnaprea63..ee.nuaavaaoyeeaietue s.702omltonnnphme0..d5dddvccl.nrrrpnsussohns76023l,nrcetiehsess.e . sieu TDTpien 2atydr 6Ia17 ph, tesi2irrrrrirmmsenah ohttamAr. lgtge6a % e0raa huAt,3Oo5yy iycmrfce ene(ohen xlvp t2.tr isLnp. .Fre2o%aua ms ig0 se0x fdeu e5,esaeu2c d am,arritD Dphnlea, atr6y.uw iima8gr vunied r2 0rnh8otuaSnteevvande amousei- ,yeLsadearoca.h3 nredcgee natsmt dtr0ets lar dy s no a ni1m ur etm%ia baimbalciredelp ew5n h mt aS nmo da .dencdfrgenh aesecwu2e6, 2 oomgedianfehlt S e5 nd ynutdtyracoma rd3i 9sre81ilocCah shavg)guitltaaitru sm1f te. . c.ci.Zfnnhoiiecrpr2u oaeay8i ns7tni6ovvmmnahn1t,uaiectoa i iC r s rnl,heh2zdue3e7dsvymhtad.seld1 mn o x0 2ayu9oa dylsy,teer. %n iand re y Er ,c raa.txidupts4 enc aua fAms0cnerdes yeruirscno,f(ip nouhudm,o vanmCl(enF omiele 4r shp mrbaoFnh12dasmeduseull sr d iis o io a wfteii ttga .s uitnw naspordnipm bw gniwd6t yidnh0ttsnuevoc nevnmbyso2eadSiuiiyemy e7etpi.eniasevt2ret,roic c edta20.ctonan,rznth%o up ee e n h,tdlah fdntCyP e n.4oao fcsin s ysc e06mar03a uv0 c2e g,oEcaMfaiy d 4tieolc em.te d1ton.)tcarhoapv..ll1 0nne cvy)c7t a.q0y4loioetv,ona.nusal0iyta.n2ec l4yoe 7u ewnwv12ie6n lii ae)alrrwww.araaamduls utne p oret0 u7uuoae eninnnnmmhnmmim oluaaaasneet8antssmoom%syxddddaandasyessssss-ttff-.-.2222,,, 70Taunsa Pre-Monsoon FrequencyTaunsa Pre-Monsoon Relative Frequency 60Taunsa Post-Monsoon FrequencyTaunsa Post-Monsoon Relative Frequency 50 40 30 20 10 0 ao eam sp s a aax a xpanaapea asmamaamosptisicpe ancralcsuassruocsecplrnbtcaulsedisuuiuuonaaaag enoitnlsdsidtsl ehtmcr ytaisldjaateaoiugtridaineono fodnloennndpasuttnsanid ri-hfuvgacrelicrbsdinpesnse a hpiugpui ga iprtaatanxbnmoagetuouriloson epsanoincluot iiucrsmda bannldiytmrsrngsateaue apphreicoucmamg mo vi dcinir oMpurcneas sb pa l usrole madamossaepu oe c euaumyoy rluqapbsssiimhitMayosollrt daetlthlhutpEraauuyzualouAeyaeprs hlmalpToutcnhmiyl MplllEMhmslteryylPasoauDaynasrco cne ippuTLauPaCacpulCEtyiopgpotyrrsnrilheonqsCysbeCgmlaozeunPycEailHnmimhhoccInZuxPaPnccaiOasaFrcEuSeRGLaJDSSpecies ure 3. Frequency and relative frequency of plant species in pre and post-monsoon seasons of Taunsa Wildlife San Tamarix dioca, Imperata cylindrica ycneuqerF egarevA aicac Fig A 384 BIODIVERSITY AND PHYTOSOCIOLOGICAL STUDIES 25 Taunsa Pre-Monsoon Density Taunsa Pre-Monsoon Relative Density Taunsa Post-Monsoon Density Taunsa Post-Monsoon Relative Density 20 y t si n15 e D e g a10 r e v A 5 0 Acacia niloticaArundo donaxCalotrpis procera Conyza camadasis Cynodon dactylon Cyprus rotendus Dalbergia sissooDesmostachya bipinnataEchinochloa crus-galli Eclipta prostrata Eleusine indica Equisetum arvense sp.Equisetum Fimbristylis hispidula Grangia madraspatana Herpestis monniera Imperata cylindrica Juncellus alopecuroides Launea procumbense Lythyrus aphacaspp.Malelotous spp.Medicago Meliolotus alba sp. Mentha Oxystlma esculentum Paspalum vaginatumPhyla nodiflora Polygonum plabejum Polypogan fugax Populus euphraticaRanuncalus muricatus Saccharum bengalense Saccharum spontaneum Tamarix dioca Typha angustataZizyphus mauritiana Species Figure 4. Density and relative density of plant species in pre and post-monsoon seasons of Taunsa Wildlife Sanctuary and Acacia nilotica was found with the Importance Value and Summed cover of 19.40%, 15.83%, 8.68% and Dominance Ratio (SDR) 6.51%, respectively. Average mini- Maximum average importance mum cover was 0.02%, 0.01%, value was found for Saccharum spon- 0.03%, 0.02%, 0.01% and 0.01% for taneum (69.35), Cynodon dactylon the Conyza camadasis, Eclipta pros- (66.30), Tamarix dioca (47.88), trate, Lythyrus aphaca, Mentha sp., Imperata cylindrica (32.26) and Oxystlma esculentum and Ranunculus Acacia nilotica (17.59) (Figure 6). muricatus, respectively (Figure 5). Average minimum importance value Maximum cover value was was recorded for the Conyza cama- calculated for Saccharum spontaneum dasis, Eclipta prostrate, Lythyrus 2.33% and relative cover of 26.67. aphaca, Mentha sp., Oxystlma Similarly Tamarix dioca and Cynodon esculentum and Ranunculus muri- dactylon covers the 14.02% and catus, respectively. Average maximum 8.72%, respectively. Desmostachya SDR was calculated for the Saccharum bipinnata and Acacia nilotica covers spontaneum (23.12), Cynodon dactylon the 6.92% and 4.81 % of the area (22.10), Tamarix dioca (15.96), with 8.53 and 6.06 relative cover, Imperata cylindrica (10.75) and respectively . Average minimum cover Acacia nilotica (5.86). Average percent of 0.18, 0.21, 0.07, 0.23 and minimum SDR was recorded for the 0.26 was found for Arundo donax, Conyza camadasis, Eclipta prostrate, Cyperus rotundus, Echinocloa crus- Lythyrus aphaca, Mentha sp., galli, Launea procumbense and Oxystma esculentum and Ranun- Saccharum bengalense. culus muricatus, respectively. 385 RAJA ZOQ-UL-ARFEEN ET AL 30 Taunsa Pre-Monsoon Cover % Taunsa Pre-Monsoon Relative Cover Taunsa Post-Monsoon Cover % Taunsa Post-Monsoon Relative Cover 25 er20 v o C e 15 g a r e v10 A 5 0 Acacia nilotica Arundo donax Calotrpis procera Conyza camadasis Cynodon dactylon Cyprus rotendus Dalbergia sissoo Desmostachya bipinnata Echinochloa crus-galli Eclipta prostrata Eleusine indica Equisetum arvense sp.Equisetum Fimbristylis hispidula Grangia madraspatana Herpestis monniera Imperata cylindrica Juncellus alopecuroides Launea procumbense Lythyrus aphaca spp.Malelotous spp.Medicago Meliolotus alba sp.Mentha Oxystlma esculentum Paspalum vaginatum Phyla nodiflora Polygonum plabejum Polypogan fugax Populus euphratica Ranuncalus muricatus Saccharum bengalense Saccharum spontaneum Tamarix dioca Typha angustata Zizyphus mauritiana Species Figure 5. Cover and relative cover of plant species in pre and post-monsoon seasons of Taunsa Wildlife Sanctuary Importance value and SDR was tively, as compared to the Tamarix found higher for Saccharum spon- dioca and Cynodon dactylon 46.14 taneum with 70.8 and 23.6, respec- and 38.36, respectively (Figure 6). 80 Taunsa Pre-Monsoon Importance Value d me 70 Taunsa Post-Monsoon Importance Value m Taunsa Pre-Monsoon Summed Dominance Ratio uo 60 & SRati50 Taunsa Post-Monsoon Summed Dominance Ratio e e uc Valnan40 ce mi30 no rtaD20 o p m 10 I 0 Acacia nilotica Arundo donax Calotrpis procera Conyza camadasis Cynodon dactylon Cyprus rotendus Dalbergia sissoo Desmostachya bipinnata Echinochloa crus-galli Eclipta prostrata Eleusine indica Equisetum arvense sp.Equisetum Fimbristylis hispidula Grangia madraspatana Herpestis monniera Imperata cylindrica Juncellus alopecuroides Launea procumbense Lythyrus aphaca spp.Malelotous spp.Medicago Meliolotus alba sp.Mentha Oxystlma esculentum Paspalum vaginatum Phyla nodiflora Polygonum plabejum Polypogan fugax Populus euphratica Ranuncalus muricatus Saccharum bengalense Saccharum spontaneum Tamarix dioca Typha angustata Zizyphus mauritiana Species Figure 6. Importance value and summed dominance ratio of plant species in pre and post-monsoon of Taunsa Wildlife Sanctuary 386

Description:
Raja Zoq-ul-Arfeen*, Aamir Saleem*, Sarwat Naz Mirza*, Muhammad. Akmal**, Hafiz Muhammad species and 11 families during the pre-monsoon season and 2460 plants were recorded in Pakistan, An annotated catalogue.
See more

The list of books you might like

Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.